{
 "metadata": {
  "name": "",
  "signature": "sha256:890eab72cd8bd6ac7a92b9fafe531cf3cccbd05303baa420516035fb771f5682"
 },
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 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "myChEMBL iPython Notebook Tutorial"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "A Chemoinformatics taster using the RDKit toolkit and cartridge, the ChEMBL database and Pandas"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "myChEMBL team, ChEMBL group, EMBL-EBI."
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "myChEMBL publication (Open Access):\n",
      "http://bioinformatics.oxfordjournals.org/content/early/2013/11/20/bioinformatics.btt666.abstract"
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Start with something relatively easy"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'Hello World!'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Hello World!\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "1+4"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "5"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Import RDKit libraries"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem import AllChem as Chem\n",
      "from rdkit.Chem.Draw import IPythonConsole\n",
      "from rdkit.Chem import Descriptors\n",
      "from rdkit import DataStructs"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Simple RDKit stuff - Molecules, descriptors and similarity"
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Molecule from SMILES"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "smi = 'CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4' #sildenafil\n",
      "m = Chem.MolFromSmiles(smi)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "m"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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IRUdHMw8PD2ZsbMzGjRvHkpKSWhyqRJwoCEmbDB48mM2bN0/oMp6iVDJ2/z7/dUMDY3K5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\ngsaE2cfo01wAAAAASUVORK5CYII=\n",
       "prompt_number": 5,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x7f886414b4b0>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Simple descriptors"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Descriptors.MolWt(m)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "474.5870000000004"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Descriptors.TPSA(m)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "113.41999999999999"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Descriptors.RingCount(m)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "4"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Output to various text formats"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Chem.MolToSmiles(m, True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O'"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Chem.MolToInchi(m)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "'InChI=1S/C22H30N6O4S/c1-5-7-17-19-20(27(4)25-17)22(29)24-21(23-19)16-14-15(8-9-18(16)32-6-2)33(30,31)28-12-10-26(3)11-13-28/h8-9,14H,5-7,10-13H2,1-4H3,(H,23,24,29)'"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print Chem.MolToMolBlock(m)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     RDKit          \n",
        "\n",
        " 33 36  0  0  0  0  0  0  0  0999 V2000\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 S   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "  1  2  1  0\n",
        "  2  3  1  0\n",
        "  3  4  1  0\n",
        "  4  5  2  0\n",
        "  5  6  1  0\n",
        "  6  7  1  0\n",
        "  6  8  1  0\n",
        "  8  9  1  0\n",
        "  9 10  2  0\n",
        "  9 11  1  0\n",
        " 11 12  1  0\n",
        " 12 13  2  0\n",
        " 13 14  1  0\n",
        " 12 15  1  0\n",
        " 15 16  2  0\n",
        " 16 17  1  0\n",
        " 17 18  2  0\n",
        " 18 19  1  0\n",
        " 19 20  2  0\n",
        " 20 21  1  0\n",
        " 21 22  1  0\n",
        " 22 23  1  0\n",
        " 17 24  1  0\n",
        " 24 25  2  0\n",
        " 24 26  2  0\n",
        " 24 27  1  0\n",
        " 27 28  1  0\n",
        " 28 29  1  0\n",
        " 29 30  1  0\n",
        " 30 31  1  0\n",
        " 30 32  1  0\n",
        " 32 33  1  0\n",
        " 14  4  1  0\n",
        " 14  8  2  0\n",
        " 20 15  1  0\n",
        " 33 27  1  0\n",
        "M  END\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Let's add 2D coordinates...\n",
      "Chem.Compute2DCoords(m)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "0"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# The mol block has been updated\n",
      "print Chem.MolToMolBlock(m)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     RDKit          2D\n",
        "\n",
        " 33 36  0  0  0  0  0  0  0  0999 V2000\n",
        "   -8.2094    2.2189    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -7.5208    0.8863    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -6.0224    0.8163    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -5.3338   -0.5163    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -6.0072   -1.8566    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -4.9405   -2.9112    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -5.1666   -4.3941    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -3.6079   -2.2226    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -2.2044   -2.7522    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -1.9613   -4.2323    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -1.0441   -1.8015    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -1.2872   -0.3214    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -2.6907    0.2082    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -3.8510   -0.7424    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -0.1269    0.6292    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    1.2765    0.0997    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    2.4368    1.0503    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    2.1937    2.5305    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    0.7903    3.0600    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -0.3700    2.1094    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -1.7734    2.6390    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -2.0166    4.1191    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "   -3.4200    4.6487    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    3.8402    0.5208    0.0000 S   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    3.3107   -0.8826    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    4.3698    1.9242    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    5.2436   -0.0088    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    5.4867   -1.4889    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    6.8902   -2.0185    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    8.0505   -1.0679    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    9.4539   -1.5974    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    7.8074    0.4123    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "    6.4039    0.9418    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
        "  1  2  1  0\n",
        "  2  3  1  0\n",
        "  3  4  1  0\n",
        "  4  5  2  0\n",
        "  5  6  1  0\n",
        "  6  7  1  0\n",
        "  6  8  1  0\n",
        "  8  9  1  0\n",
        "  9 10  2  0\n",
        "  9 11  1  0\n",
        " 11 12  1  0\n",
        " 12 13  2  0\n",
        " 13 14  1  0\n",
        " 12 15  1  0\n",
        " 15 16  2  0\n",
        " 16 17  1  0\n",
        " 17 18  2  0\n",
        " 18 19  1  0\n",
        " 19 20  2  0\n",
        " 20 21  1  0\n",
        " 21 22  1  0\n",
        " 22 23  1  0\n",
        " 17 24  1  0\n",
        " 24 25  2  0\n",
        " 24 26  2  0\n",
        " 24 27  1  0\n",
        " 27 28  1  0\n",
        " 28 29  1  0\n",
        " 29 30  1  0\n",
        " 30 31  1  0\n",
        " 30 32  1  0\n",
        " 32 33  1  0\n",
        " 14  4  1  0\n",
        " 14  8  2  0\n",
        " 20 15  1  0\n",
        " 33 27  1  0\n",
        "M  END\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Fingerprints and similarity"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fp = Chem.GetMorganFingerprintAsBitVect(m,2,nBits=2048)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fp.ToBitString()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "'00000000000000100000000000000000000000000000000000000000000000000000000001000000100000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000010000000000000000000000000000001000000000000000000000000010000000000000000000100001000000000000000000000000000000101000010000000010000000000010000000000000000001000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000010000000000000000000010000000000000000000000000000000000000000000000000000000000000000100000000000000000000010000000000000000000000100000000000000000001000000000000000000000000000000000010000001000000000000000000000010000000000000100000100000000000000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000100000000100000000000000000000000000000000000000000100000000000000000000000000010000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000001000000001000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010100001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000010000000000010000000000000000000000010001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000100000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000101001000000000000000100001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000000000001000100000000000000000001000000000000000000000000000000000000000000000000000010000010000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000'"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fp.GetNumOnBits()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "61"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fp.GetNumBits()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "2048"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "smi2 = 'CCCc1nc(C)c2C(=O)N=C(Nn12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(CC)CC4' #vardenafil\n",
      "m2 = Chem.MolFromSmiles(smi2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fp2 = Chem.GetMorganFingerprintAsBitVect(m2, 2, nBits=2048)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "m2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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SgkGDBqFfv34YPHgwkpOTMXbsWJiampaOEJ2dnbFz505ERkYiLS0Ne/fuRcuW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\nIiJFYxASEZGiMQiJiEjR/h9eupBSgfThBgAAAABJRU5ErkJggg==\n",
       "prompt_number": 20,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x7f88640fb3d0>"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "m"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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Xrl1NZ1kS0lIUhKRVngwDbXl89xFDQ0P07dtX588JHz7kh4IbPb4Am+hO49Dp\njRs3sH79ehQXF2Pw4MHw8/NDSEgIPvzwQ3z55ZeIioqCHv0FkTagvUZJq+gqDKRSKXbu3Nl0reuZ\no+XlQGAgv73al18+en3z5qff6+xMGzjrgkQiQWBgIAIDA1FSUoKEhARUVlbi4MGDGDp0qNDlkU6M\ngpC0yMSJj75uDIOGBmDOHOCjj/iA1CR/f/+m/UYBPhh//vlnzXbyHGfP8p/X2xtYsUInXZJWcnBw\nwOLFi4Uug3QRNDRK2szAgN+r+fXXAU1n1IABA/Dxxx8DAOrr63Hnzh3cvHkTMTExqNTiQ8odO4A3\n3gDeeYefKavFo/kIIR0EBSFpMz094F//4rdVGzUKOHVKs+0/fPgQGzduRN++fbFv3z4MGTIEq1at\ngoODA6ZPn45Dhw41u2tsj8ZF2EFBwBdfAGvXAoY0XkKIKFAQknZpDMM5c/gwPHmy/W0+ePAAa9eu\nhZubG/76179i5cqVKCgoQExMDG7duoVjx47BzMwMkydPhpOTE+bNm4eLj5+y3kp1dXVYuvQC1q8H\n9uzRziJsQkjHRadPEI1ZvpxfTrBvHz+82FpqNbBrVwqWL1+Au3fv4uOPP8ZHH30EMzOzZ76/rq4O\ne/fuRUxMDNLS0jBw4EAEBwdj2rRpLT6poqSkBJMmTUJlZQ127z4HLy/tn4ZACOlYKAiJRn36KX+H\nuHcvMHx4y79v3z4+SHv0SMYbb1zE/PnzYWlp2eLvLywsxNatWxETE4Pi4mK8/fbbCA4OxpgxY2D4\nnDHOo0ePYsqUKRgyZAji4+Np/RkhIkVBSDRu4UJg0ybg+HF++cGv2b4d+POfgeJiICICCA/nT7xv\nK7VajRMnTiA+Ph4JCQno3r07goODMXv2bPTt27fpfZs2bcKcOXOwZMkSREZG0vozQkSMgpBoxebN\n/MQTlYpflG5tzX9dU8OfCXf4MPDJJ/whqEuX8s8YLSw0W0N5eTkSEhIQGxuLzMxMjBgxAsHBwThy\n5AgSExOxadMmvPfee5rtlBDS6VAQEq3avRuYPx/IyQFKS/mF5+PGAWPGAKGhwLJlgIOD9uvIysrC\n+vXrkZycDFtbW/j7+8PMzAyRkZHa75wQ0qHRrFGidU9u1j1sGHDtGr9jiy5CEABqamrwzTffIDs7\nG2fPnoWzszP279+vm84JIR0aBSHRuic369bTA5ycdFuDVCqFSqVCfn4+gEd7mdKACCGEgpDohK42\n634eS0tLODs7NzvaqaamBoWFhcIVRQjpECgIiU50hJMbHj/RwtHREdbW1jo/0YIQ0vHQJlJEq561\nWbdQfHx8mp1g0Xjm4ejRowWsihAiNLojJKLx+GG/AODt7Y3c3FwBKyKEdAQUhEQ0BnEc5vTowZ8f\nBeDLl1/G+itXBK6KECI0CkKiVWVl/CbWCoXQlQD9OQ4f/vQTv3YDQLe+faGXmSlwVYQQoVEQEq26\ndAnYtg0wNRW6EgBWVoCjI7+dDQBwHCCXA7dvC1kVIURgFIREq/LyAC8v4WeMNuG4R0HYqxe/rxvN\nHCVE1CgIiVZducIHYYfBcfx+bwCfzlIpkJUlbE2EEEFREBKtarwj7DCk0uZ3gI8HIyFElCgIiVZ1\nuCDkOCA3lz8KAwBeegmorxe2JkKIoGhBPdGaBw9UePCgFJ6e9ugwP3O9+CIQGcmHn6kpfzQGIUTU\n6BgmojWXL19G//79UV1dDTMzM6HLIYSQZ+ogP6aTrigvLw+9evXqmCGoVvPrCeVyoSshhAiMhkaJ\n1uTl5cGrQz0g/J+aGmDmTP5gxJwc4LXXgOnTha6KECIQCkKiNR02CDduBEJCgLff5q9HjQKmTetA\nix0JIbpEQ6NEazpsEObnN5/KamcHVFQIVw8hRFAUhERrcnNz4e3tLXQZT+M44OLFR9dlZUCPHoKV\nQwgRFs0aJVqhUqmwdetWjBs3DtbW1kKX09yDB0BYGODgABQVAe+/D7z1ltBVEUIEQkFIxEuh4NcS\n0rNBQkSNgpAQQoio0TNCQgghokZBSAghRNQoCAkhhIgaBSEhhBBRoyAkhBAiahSEhBBCRI2CkBBC\niKhREBJCCBE1CkJCCCGiRkFICCFE1CgICSGEiBoFISGEEFGjICSEECJqFISEEEJEjYKQEEKIqP0/\ngsaE2cfo01wAAAAASUVORK5CYII=\n",
       "prompt_number": 21,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x7f886414b4b0>"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "DataStructs.TanimotoSimilarity(fp,fp2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "0.5"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Similarity Maps"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem.Draw import SimilarityMaps\n",
      "SimilarityMaps.GetSimilarityMapForFingerprint(m2, m, SimilarityMaps.GetMorganFingerprint)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "(<matplotlib.figure.Figure at 0x7f88641b3050>, 0.14414414414414412)"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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X+GCd6A/p+Eh2r7lp3Q385JGfsW3LDlZcsyxTipq3YA49F3p5/McvcvdX1lFS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\nEAAAAAAAAAAAAAAAAAAAAIA//A+B4ZSIwwlKTgAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f88641b3050>"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "For more RDKit examples: http://www.rdkit.org/docs/GettingStartedInPython.html"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Using the RDKit database cartridge in myChEMBL"
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "SMARTS-based substructure search"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sma = 'C1C[!#1!#6]1' #oxirane or aziridine"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import Image\n",
      "from urllib import quote_plus"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image(url='http://www.smartsview.de/smartsview/auto/png/1/dynamic/{0}'.format(quote_plus(sma)))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<img src=\"http://www.smartsview.de/smartsview/auto/png/1/dynamic/C1C%5B%21%231%21%236%5D1\"/>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "<IPython.core.display.Image at 0x7f884ecd6390>"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import psycopg2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "conn = psycopg2.connect(port=5432, user='chembl', dbname='chembl_19')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cur = conn.cursor()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sql1 = \"\"\"\n",
      "SELECT mr.*, md.chembl_id, cp.full_mwt, cp.alogp\n",
      "from mols_rdkit mr, molecule_dictionary md, compound_properties cp\n",
      "where\n",
      "mr.m @> 'C1C[!#1!#6]1'::qmol\n",
      "and\n",
      "mr.molregno = md.molregno\n",
      "and\n",
      "md.molregno = cp.molregno\n",
      "limit 100\n",
      "\"\"\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cur.execute(sql1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for c in cur: print c"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(504141, 'CC(=O)O[C@H]1C[C@@H]2O[C@]2(C)[C@@H]2[C@@H](O)[C@]34O[C@]3(C)C(=O)O[C@H]4C=C(C)CC[C@@H](OC(C)=O)[C@@]12C', 'CHEMBL465387', Decimal('464.51'), Decimal('0.65'))\n",
        "(511156, 'CC[C@@]12CC(C(=O)OC)=C3Nc4cc(OC)c(O)cc4[C@@]34CCN(C(=O)[C@@H]3O[C@@H]31)[C@H]42', 'CHEMBL525919', Decimal('412.44'), Decimal('1.06'))\n",
        "(1558653, 'C=C(C)[C@]12C[C@@H](C)[C@]34O[C@@]5(CCCCCCC[C@@H](C)[C@@H]6[C@@H]3[C@@](O)(C(=O)[C@H]6C)[C@H](O)[C@@]3(CO)O[C@H]3[C@H]4[C@H]1O5)O2', 'CHEMBL2376812', Decimal('532.67'), Decimal('3.60'))\n",
        "(507693, 'O=C1c2c(O)ccc3c2[C@@]2(Oc4cccc5c4[C@](O3)(O2)[C@H](O)C[C@@H]5O)[C@@H]2O[C@H]12', 'CHEMBL488950', Decimal('382.32'), Decimal('1.01'))\n",
        "(507695, 'O=C1CC[C@]23Oc4ccc(O)c5c4[C@](Oc4cccc1c42)(O3)[C@@H]1O[C@@H]1[C@@H]5O', 'CHEMBL485874', Decimal('366.32'), Decimal('1.66'))\n",
        "(507740, 'CO[C@@H]1CC(=O)c2cccc3c2[C@@]12Oc1ccc(O)c4c1[C@](O3)(O2)[C@@H]1O[C@@H]1[C@@H]4O', 'CHEMBL487724', Decimal('396.35'), Decimal('1.50'))\n",
        "(1558663, 'C=C(C)[C@]12C[C@@H](C)[C@@]34OC(c5ccccc5)(OC1[C@@H]3[C@@H]1O[C@]1(COC(=O)c1ccccc1)[C@@H](O)[C@@]1(O)[C@H]4C[C@H](C)[C@@H]1O)O2', 'CHEMBL2376822', Decimal('590.66'), Decimal('3.77'))\n",
        "(1573582, 'CC[C@H]1C[C@@H]2CN3CCc4c5ccc(OC)c([C@H]6C[C@@H]7[C@]8(O[C@@H]8C)[C@@H]8OC[C@]7(C(=O)OC)[C@H](Cc7c9ccccc9[nH]c76)N8C)c5[nH]c4[C@](C(=O)OC)(C2)[C@H]13', 'CHEMBL2409162', Decimal('748.91'), Decimal('6.27'))\n",
        "(664813, 'Cn1cc(NC(=O)c2cc(NC(=O)c3cc(NC(=O)c4cc(NC(=O)C5CO5)cn4C)cn3C)cn2C)cc1C(=O)NCCC(=N)N', 'CHEMBL1190863', Decimal('645.67'), Decimal('-0.28'))\n",
        "(686885, 'CC(=O)OCC1=CO[C@@H](OC(C)=O)[C@H]2[C@@H]1C[C@H](OC(=O)CC(C)C)[C@]21CO1', 'CHEMBL1215026', Decimal('382.40'), Decimal('0.93'))\n",
        "(686886, 'CC(=O)OCC1=CO[C@@H](OC(=O)CC(C)C)[C@H]2[C@@H]1C[C@H](OC(C)=O)[C@]21CO1', 'CHEMBL1215027', Decimal('382.40'), Decimal('0.93'))\n",
        "(698093, 'c1ccc([C@@H]2CO2)cc1', 'CHEMBL1235743', Decimal('120.15'), Decimal('1.48'))\n",
        "(1523873, 'CN(C)CCn1nc2c3c1ccc(NCCCCN1CC1)c3C(=O)c1ccncc1-2', 'CHEMBL2334226', Decimal('404.51'), Decimal('2.60'))\n",
        "(628080, 'C=C(C)[C@@H]1CC(=O)C[C@H]2O[C@](C)(CC2=O)C[C@H]2OC(=O)[C@@]3(O[C@H]23)[C@@H](O)C1', 'CHEMBL1094859', Decimal('364.39'), Decimal('0.16'))\n",
        "(643623, 'O=C(O)[C@H]1O[C@@H]1c1ccc(F)cc1', 'CHEMBL1162084', Decimal('182.15'), Decimal('1.30'))\n",
        "(643624, 'O=C(O)[C@H]1O[C@@H]1c1ccccc1', 'CHEMBL1162085', Decimal('164.16'), Decimal('1.10'))\n",
        "(1573320, 'NS(=O)(=O)c1ccc(-n2cc(CNC(=O)[C@H](Cc3cscn3)NC(=O)[C@H]3O[C@@H]3C(=O)O)nn2)cc1', 'CHEMBL2408902', Decimal('521.53'), Decimal('-1.36'))\n",
        "(1573342, 'CC(C)C[C@H](NC(=O)[C@H]1O[C@@H]1C(=O)O)C(=O)Nc1c(F)cccc1F', 'CHEMBL2408924', Decimal('356.32'), Decimal('1.44'))\n",
        "(593645, 'COc1cc(C(=O)[C@H]2O[C@@H]2c2cc(OC)c(OC)c(OC)c2)cc(OC)c1OC', 'CHEMBL596033', Decimal('404.41'), Decimal('2.77'))\n",
        "(593623, 'COc1cc(C(=O)[C@H]2O[C@@H]2c2ccc(C)cc2)cc(OC)c1OC', 'CHEMBL594612', Decimal('328.36'), Decimal('3.31'))\n",
        "(593568, 'Cc1ccc(C(=O)[C@H]2O[C@@H]2c2ccc(C)cc2)cc1', 'CHEMBL593208', Decimal('252.31'), Decimal('3.84'))\n",
        "(1573333, 'O=C(O)[C@@H]1O[C@H]1C(=O)N[C@@H](Cc1c[nH]cn1)C(=O)Nc1nc2ccc(F)cc2s1', 'CHEMBL2408915', Decimal('419.39'), Decimal('0.22'))\n",
        "(1576269, 'N#Cc1c(Cl)nc(SCC2CO2)nc1-c1ccccc1', 'CHEMBL2415028', Decimal('303.77'), Decimal('3.53'))\n",
        "(501263, 'CC(C)CCC[C@@H](C)[C@H]1CC[C@H]2[C@@H]3C[C@@H]4O[C@@]45C[C@@H](O)CC[C@]5(C)[C@H]3CC[C@]12C', 'CHEMBL497438', Decimal('402.65'), Decimal('6.22'))\n",
        "(501490, 'CC(C)CCC[C@@H](C)[C@H]1CC[C@H]2[C@@H]3[C@@H]4O[C@@]45C[C@@H](O)CC[C@]5(C)[C@H]3CC[C@]12C', 'CHEMBL496408', Decimal('388.63'), Decimal('5.83'))\n",
        "(504154, 'CC(=O)O[C@H]1CC=C(C)[C@@H]2[C@@H](OC(C)=O)[C@]34O[C@]3(C)C(=O)O[C@H]4C=C(C)CC[C@@H](OC(C)=O)[C@@]12C', 'CHEMBL463137', Decimal('490.54'), Decimal('2.38'))\n",
        "(501187, 'CC(C)CCC[C@@H](C)[C@H]1CC[C@H]2[C@@H]3[C@@H](O)[C@@H]4O[C@@]45C[C@@H](O)CC[C@]5(C)[C@H]3CC[C@]12C', 'CHEMBL497835', Decimal('418.65'), Decimal('5.32'))\n",
        "(501265, 'CC(C)CCC[C@@H](C)[C@H]1CC[C@H]2[C@@H]3[C@@H](O)[C@H]4O[C@]45C[C@@H](O)CC[C@]5(C)[C@H]3CC[C@]12C', 'CHEMBL497816', Decimal('418.65'), Decimal('5.32'))\n",
        "(501428, 'CC(C)CCC[C@@H](C)[C@H]1CC[C@H]2[C@@H]3C[C@H]4O[C@]45[C@@H](O)[C@@H](O)CC[C@]5(C)[C@H]3CC[C@]12C', 'CHEMBL496805', Decimal('418.65'), Decimal('5.65'))\n",
        "(501492, 'CC(=O)O[C@H]1[C@@H](O)CC[C@]2(C)[C@H]3CC[C@]4(C)[C@@H]([C@H](C)CCCC(C)C)CC[C@H]4[C@@H]3C[C@H]3O[C@@]312', 'CHEMBL501171', Decimal('460.69'), Decimal('6.03'))\n",
        "(506514, 'CC(C)(O)[C@@H]1[C@H]2OC(=O)[C@@H]1[C@]1(O)C[C@H]3O[C@]34C(=O)O[C@H]2[C@@]41C', 'CHEMBL478523', Decimal('310.30'), Decimal('-1.33'))\n",
        "(504155, 'CC(=O)O[C@H]1C[C@@H]2O[C@]2(C)[C@@H]2[C@@H](OC(C)=O)[C@]34O[C@]3(C)C(=O)O[C@H]4C=C(C)CC[C@@H](OC(C)=O)[C@@]12C', 'CHEMBL456944', Decimal('506.54'), Decimal('1.02'))\n",
        "(507225, 'CC1(C)CC2=C(O1)C1(CO1)c1ccccc1C2=O', 'CHEMBL508314', Decimal('242.27'), Decimal('1.75'))\n",
        "(555538, 'COc1c2ccc(=O)oc2c(C(C)(C)C2CO2)c2c1C1OC1C(C)(C)O2', 'CHEMBL560276', Decimal('358.39'), Decimal('2.51'))\n",
        "(1522289, 'C[C@@H]1C(=O)O[C@@H]2C[C@@]3(C)CCC[C@H](C)[C@@]34O[C@H]4[C@@H]21', 'CHEMBL2332658', Decimal('250.33'), Decimal('2.34'))\n",
        "(700632, 'COC(=O)/C(C)=C\\\\C[C@@]12OC(C)(C)[C@H]3C[C@@H](C=C4C(=O)c5c(O)c6c(c(CC7OC7(C)C)c5O[C@]431)O[C@]1(C)CCC(=C(C)C)C6C1)C2=O', 'CHEMBL1241413', Decimal('658.78'), Decimal('5.61'))\n",
        "(710317, 'CC(C)[C@]12O[C@H]1C=C1[C@]3(O[C@H]3C[C@@H]3C4=C(CC[C@]13C)C(=O)OC4)[C@@H]2O', 'CHEMBL1271068', Decimal('344.40'), Decimal('1.63'))\n",
        "(587281, 'CC1=CC(=O)OC[C@]23CCC(C)=C[C@H]2O[C@@H]2C[C@@H](OC(=O)C=CC=CC(=O)OCC1)[C@@]3(C)[C@]21CO1', 'CHEMBL576350', Decimal('484.54'), Decimal('2.98'))\n",
        "(1487228, 'C[C@]12C=CC(=O)C(C)(C)C1C(O)(C(=O)O)[C@@]1(C)C[C@@]34O[C@@H]3C[C@@H](c3ccoc3)C4C[C@H]21', 'CHEMBL2269930', Decimal('426.50'), Decimal('2.36'))\n",
        "(1563065, 'CO[C@H]1O[C@@H]([C@@H]2OC2(C)C)C[C@H]1[C@@H]1CC=C2[C@@]1(C)CC[C@@H]1[C@@]3(C)C=CC(=O)C(C)(C)[C@@H]3C[C@@H](O)[C@@]21C', 'CHEMBL2386300', Decimal('498.69'), Decimal('4.18'))\n",
        "(1486978, 'CC[C@@](C)(OC(C)=O)C(=O)O[C@H]1[C@H](O)C[C@@H]2[C@@](C)([C@@H]3C[C@H]4C=CO[C@H]4O3)C(C)=C[C@H](OC(C)=O)[C@@]2(COC(C)=O)[C@@]12CO2', 'CHEMBL2269683', Decimal('606.66'), Decimal('1.06'))\n",
        "(1523988, 'CCC(CC)(c1ccc(OCC(=O)C(C)(C)C)c(C)c1)c1ccc(OCC2CO2)c(C)c1', 'CHEMBL2334340', Decimal('438.60'), Decimal('6.96'))\n",
        "(700047, 'CC1=CCC(C)(C)C=C[C@H](O)[C@@]2(C)O[C@H]2CC1', 'CHEMBL1240835', Decimal('236.35'), Decimal('2.97'))\n",
        "(1560200, 'C=C1C(=O)O[C@@H]2C=C(C)CC[C@H]3O[C@]3(COC(C)=O)C[C@@H](OC(=O)C3(C)OC3C)[C@@H]12', 'CHEMBL2380317', Decimal('420.45'), Decimal('1.68'))\n",
        "(671160, 'CCNC[C@@H]1C(=O)O[C@@H]2[C@@H]3O[C@]3(C)CCC=C(C)CC[C@@H]12', 'CHEMBL1197210', Decimal('293.40'), Decimal('2.31'))\n",
        "(671111, 'CC1=CCC[C@@]2(C)O[C@H]2[C@H]2OC(=O)[C@@H](CN3CCC(C)CC3)[C@@H]2CC1', 'CHEMBL1197161', Decimal('347.49'), Decimal('3.66'))\n",
        "(701512, 'CCNC(=O)O[C@H]1CC[C@H](C)[C@@H](/C(C)=C/C=C/[C@@H](C)C[C@H]2O[C@@H]2[C@H](C)[C@@H](O)CC)OC(=O)C[C@H](O)CC[C@@]1(C)O', 'CHEMBL1242284', Decimal('567.75'), Decimal('4.47'))\n",
        "(693999, 'CO[C@H]1[C@H](OC(C)=O)CC(=O)O[C@H](C)C[C@@H]2O[C@H]2C=CC(=O)[C@H](C)C[C@H](CC=O)[C@@H]1O[C@@H]1O[C@H](C)[C@@H](O[C@H]2C[C@@](C)(O)[C@@H](OC(=O)CC(C)C)[C@H](C)O2)[C@H](N(C)C)[C@H]1O', 'CHEMBL1231649', Decimal('841.98'), Decimal('2.22'))\n",
        "(691245, 'CC1(C)[C@H]2C=C(C=O)CC[C@H]3O[C@]3(C)CC[C@H]21', 'CHEMBL1224785', Decimal('234.33'), Decimal('2.63'))\n",
        "(567142, 'CCCCCCS(=O)(=O)c1cc(Cl)c(C(=O)CCN2CC2C)c(Cl)c1', 'CHEMBL563943', Decimal('406.37'), Decimal('5.12'))\n",
        "(1564400, 'O=S(=O)(c1cc(Cl)cc(Cl)c1)C1CO1', 'CHEMBL2385106', Decimal('253.10'), Decimal('2.57'))\n",
        "(1577777, 'CNC[C@@H]1C(=O)O[C@H]2[C@H]1CCC(C)=C1C[C@H]3O[C@@]3(C)[C@@H]12', 'CHEMBL2419001', Decimal('277.36'), Decimal('1.18'))\n",
        "(1563057, 'C=C1[C@@H]2[C@@H](O[C@H]3CC(=O)C(C)(C)[C@H](CC(=O)OC)[C@@]23C)[C@H](OC(C)=O)[C@@]2(C)[C@H](c3ccoc3)C[C@H]3O[C@]132', 'CHEMBL2386292', Decimal('512.59'), Decimal('2.28'))\n",
        "(675258, 'C[N+]1(C)C2CC(OC(=O)C(O)(c3cccs3)c3cccs3)CC1[C@@H]1O[C@H]12', 'CHEMBL1201307', Decimal('392.51'), Decimal('0.90'))\n",
        "(446686, 'C/C(=C\\\\c1csc(CO)n1)[C@@H]1C[C@@H]2O[C@@H]2CCC[C@H](C)[C@H](O)[C@@H](C)C(=O)C(C)(C)[C@@H](O)CC(=O)O1', 'CHEMBL470478', Decimal('509.66'), Decimal('2.90'))\n",
        "(446687, 'C/C(=C\\\\c1csc(CO)n1)[C@@H]1C[C@@H]2O[C@]2(C)CCC[C@H](C)[C@H](O)[C@@H](C)C(=O)C(C)(C)[C@@H](O)CC(=O)O1', 'CHEMBL513726', Decimal('523.68'), Decimal('3.11'))\n",
        "(1545943, 'Cc1c(OCCN2CC2)cc(C(=O)N[C@@H]2C(=O)N[C@H](C(C)C)C(=O)N3CCC[C@H]3C(=O)N(C)CC(=O)N(C)[C@@H](C(C)C)C(=O)O[C@@H]2C)c2nc3c(C(=O)N[C@@H]4C(=O)N[C@H](C(C)C)C(=O)N5CCC[C@H]5C(=O)N(C)CC(=O)N(C)[C@@H](C(C)C)C(=O)O[C@@H]4C)c(N)c(=O)c(C)c-3oc12', 'CHEMBL2371492', Decimal('1340.52'), None)\n",
        "(701554, 'C[C@H]1C(=O)C=CC(C)(C)C[C@@H]2O[C@]2(C)CC[C@H]1NCc1ccccc1', 'CHEMBL1242326', Decimal('341.49'), Decimal('3.88'))\n",
        "(701553, 'CCCCN[C@@H]1CC[C@@]2(C)O[C@H]2CC(C)(C)C=CC(=O)[C@@H]1C', 'CHEMBL1242325', Decimal('307.47'), Decimal('3.63'))\n",
        "(578137, 'CO[C@@H]1[C@H](OC(=O)N[C@H]2CN3CCC2CC3)CC[C@]2(CO2)[C@H]1[C@@]1(C)O[C@@H]1CC=C(C)C', 'CHEMBL578806', Decimal('434.57'), Decimal('2.31'))\n",
        "(578138, 'CO[C@@H]1[C@H](OC(=O)N[C@@H](C(=O)Nc2cccc(C(=O)O)c2)C(C)C)CC[C@]2(CO2)[C@H]1[C@@]1(C)O[C@@H]1CC=C(C)C', 'CHEMBL585936', Decimal('544.64'), Decimal('3.36'))\n",
        "(580238, 'CC[C@H](C)[C@H](NC(C)=O)C(=O)N[C@@H](CO)C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CC(=O)C1(C)CO1)C(=O)O', 'CHEMBL570439', Decimal('656.73'), Decimal('-2.28'))\n",
        "(792884, 'COC(=O)[C@@H]1OC(=O)[C@H]2O[C@]23[C@]2(C)C(=O)C[C@@H]4[C@](C)(C=CC(=O)OC4(C)C)[C@H]2CC[C@@]13C', 'CHEMBL1369000', Decimal('446.49'), Decimal('1.84'))\n",
        "(1558650, 'C=C(C)[C@]12C[C@@H](C)[C@]34O[C@@]5(CCCCCCC[C@@H](C)[C@@H]6[C@@H]3[C@@](O)([C@@H](O)[C@H]6C)[C@H](O)[C@@]3(COC(=O)c6ccccc6)O[C@H]3[C@H]4[C@H]1O5)O2', 'CHEMBL2376809', Decimal('638.79'), Decimal('5.40'))\n",
        "(1293799, 'CCC12C[N+]3([O-])CC(CC(C(=O)OC)(c4cc5c(cc4OC)N(C)C4C56CCN5CC=CC(CC)(C56)C(OC(C)=O)C4(O)C(=O)OC)c4[nH]c5ccccc5c4CC3)C1O2', 'CHEMBL1972508', Decimal('824.96'), Decimal('3.89'))\n",
        "(1078424, 'CCCCC[C@@H]1OC=C2[C@@H]3OC(C)(C)[C@@H](O)C[C@@]34O[C@H]4C(=O)[C@@]23[C@@H]2O[C@@H](CCCCC)[C@@H](C4=C2[C@H]2OC(C)(C)[C@@H](O)C[C@@]25O[C@H]5C4=O)[C@@H]13', 'CHEMBL1689808', Decimal('668.81'), Decimal('2.29'))\n",
        "(503834, 'CC(C)=C1C(=O)C[C@]2(C)CC=C(C)CC[C@@H]3O[C@@]3(C)CC[C@@H]12', 'CHEMBL516013', Decimal('302.45'), Decimal('4.49'))\n",
        "(504227, 'COC(C)(C)C1=C[C@H]2O[C@]2(C)CCC=C(C)CC[C@H]2O[C@]2(C)CC1', 'CHEMBL516336', Decimal('334.49'), Decimal('3.96'))\n",
        "(668302, 'CC1=CCC[C@@]2(C)O[C@H]2[C@H]2OC(=O)[C@@H](CNCCN)[C@@H]2CC1', 'CHEMBL1194352', Decimal('308.42'), Decimal('1.13'))\n",
        "(668290, 'CC1=CCC[C@@]2(C)O[C@H]2[C@H]2OC(=O)[C@@H](CNNC(C)(C)C)[C@@H]2CC1', 'CHEMBL1194340', Decimal('336.47'), Decimal('2.33'))\n",
        "(622066, 'CC1=CC(=O)[C@H]2C(C)(C)CCC[C@]2(C)[C@H]1[C@@H]1O[C@@H]1c1ccoc1', 'CHEMBL1092575', Decimal('314.42'), Decimal('3.72'))\n",
        "(651597, 'NC(=O)c1cccc(C2CO2)c1', 'CHEMBL1171468', Decimal('163.17'), Decimal('0.48'))\n",
        "(671180, 'C=CCN(CC=C)C[C@@H]1C(=O)O[C@@H]2[C@@H]3O[C@]3(C)CCC=C(C)CC[C@@H]12', 'CHEMBL1197230', Decimal('345.48'), Decimal('3.73'))\n",
        "(900155, 'CC1C(=O)OC2C1CC[C@@]1(C)C=CC(=O)[C@@]3(C)O[C@]231', 'CHEMBL1476271', Decimal('262.30'), Decimal('1.60'))\n",
        "(1285594, 'Cc1ccc(OCC2CO2)c(Br)c1', 'CHEMBL1964303', Decimal('243.10'), Decimal('2.76'))\n",
        "(916793, 'O=C1c2ccccc2C(=O)C2OC12', 'CHEMBL1492909', Decimal('174.15'), Decimal('0.82'))\n",
        "(1067289, 'Nc1ncnc2c1ncn2CC1CN1Cc1ccccc1', 'CHEMBL1668522', Decimal('280.33'), Decimal('1.33'))\n",
        "(1303258, 'CC(CO)[C@H]1OC(=O)C=C2[C@@]13O[C@@H]3[C@H]1OC(=O)[C@@]3(C)[C@H]4O[C@H]4C[C@@]2(C)[C@@H]13', 'CHEMBL1981967', Decimal('362.37'), Decimal('0.17'))\n",
        "(1063560, 'CC(=O)O[C@H](C[C@@H](C)[C@H]1C(=O)[C@H](O)[C@@]2(C)[C@@H]3CC[C@@H]4[C@]5(C[C@@]35CC[C@]12C)CC[C@H](O)C4(C)C)[C@H]1OC1(C)C', 'CHEMBL1651286', Decimal('530.74'), Decimal('3.80'))\n",
        "(1604603, 'Cc1ccc(S(=O)(=O)N2CC2(C)CO[C@@H]2O[C@@H]3CO[C@H](c4ccccc4)O[C@@H]3[C@H](O)[C@H]2O)cc1', 'CHEMBL3087128', Decimal('491.55'), Decimal('1.62'))\n",
        "(1079618, 'Cc1ccc(NC(=O)N2CC2)cc1NC(=O)N1CC1', 'CHEMBL1698887', Decimal('260.29'), Decimal('0.60'))\n",
        "(1073725, 'C=C1C[C@@H]2CC[C@@]34C[C@H]5O[C@@H]6[C@@H](O[C@H]7CC[C@H](CC(=O)C[C@@H]8[C@@H](OC)[C@@H](C[C@@H](CN9C[C@@H]9C)OC)O[C@H]8C[C@H]8O[C@@H](CC[C@@H]1O2)C[C@@H](C)C8=C)O[C@@H]7[C@@H]6O3)[C@H]5O4', 'CHEMBL1683598', Decimal('783.99'), Decimal('2.54'))\n",
        "(1063555, 'CC(=O)O[C@@H]1C[C@@]23C[C@@]24CC[C@H](O[C@@H]2OC[C@@H](O)[C@H](O)[C@H]2O)C(C)(C)[C@@H]4CC[C@H]3[C@]2(C)C[C@@H]3O[C@]4(C[C@@H](C)[C@@H]3[C@@]12C)O[C@H](O)[C@@]1(C)O[C@@H]14', 'CHEMBL1651281', Decimal('676.83'), Decimal('1.81'))\n",
        "(1164261, 'C[C@H]1CC[C@@H]2[C@@H](OC(=O)[C@]23CN3c2ccccc2[N+](=O)[O-])[C@]2(C)C(=O)C=C[C@@]12O', 'CHEMBL1806585', Decimal('398.41'), Decimal('2.56'))\n",
        "(1217498, 'CC1(C)O[C@H]2O[C@H]([C@H](O)CO/N=C3\\\\[C@H]4O[C@H]4[C@@H](O)[C@H]4[C@@H]3CCn3c(=O)n(-c5ccccc5)c(=O)n34)[C@H](O)[C@H]2O1', 'CHEMBL1876927', Decimal('546.53'), Decimal('-1.24'))\n",
        "(1077476, 'C=C(C)[C@H]1CC(=O)[C@]2(C)CC=C(C)CC[C@@H]3O[C@@]3(C)CC[C@@H]12', 'CHEMBL1689080', Decimal('302.45'), Decimal('4.34'))\n",
        "(1564392, 'CCCC1OC1S(=O)(=O)c1ccccc1', 'CHEMBL2387614', Decimal('226.29'), Decimal('2.60'))\n",
        "(1548035, 'CCCNC(=O)OC[C@H]1O[C@@H](CCO/N=C2/[C@H]3O[C@@H]3[C@@H](O)[C@H]3[C@H]2CCn2c(=O)n(-c4ccccc4)c(=O)n23)C=C[C@@H]1Oc1ccc(OC)cc1', 'CHEMBL2373584', Decimal('691.73'), Decimal('2.81'))\n",
        "(1277391, 'CCCCCCCCCCCCC(=O)/C=C/CCCOC[C@H]1CO1', 'CHEMBL1946010', Decimal('338.52'), Decimal('6.04'))\n",
        "(1614132, 'CCCCN(C)C(=O)O[C@@H](C)/C=C\\\\C(=O)N[C@H]1CO[C@@H](C/C=C(C)/C=C/[C@@H]2C[C@]3(CO3)CC(C)(C)O2)OC1', 'CHEMBL3108937', Decimal('534.68'), Decimal('2.90'))\n",
        "(1614136, 'CC(/C=C/[C@@H]1C[C@]2(CO2)CC(C)(C)O1)=C\\\\C[C@H]1OC[C@@H](NC(=O)/C=C\\\\[C@H](C)OC(=O)N2CCCCC2)CO1', 'CHEMBL3108941', Decimal('532.67'), Decimal('2.48'))\n",
        "(1059753, 'O=C(/C=C/c1ccc(OCC2CS2)cc1)c1ccc(OCC2CS2)cc1', 'CHEMBL1644751', Decimal('384.51'), Decimal('4.59'))\n",
        "(1059755, 'COc1ccc(/C=C/C(=O)c2ccc(OCC3CS3)cc2OCC2CS2)cc1', 'CHEMBL1644753', Decimal('414.54'), Decimal('4.58'))\n",
        "(1063269, 'CC1(C)O[C@H]1COc1cc(=O)oc2cc3occc3cc12', 'CHEMBL1651087', Decimal('286.28'), Decimal('2.19'))\n",
        "(1572813, 'CC(=O)O[C@H]1[C@H]2O[C@H]2C[C@@H]2[C@@H](O)C(=O)[C@H]3[C@@H]4[C@@H](O)[C@@H]5[C@H]([C@H](C)C=C6OC(=O)[C@@](C)(O)[C@@]65C)[C@@]4(C)[C@@H](OC(C)=O)[C@@H](OC(C)=O)[C@@H]3[C@@]12C', 'CHEMBL2408400', Decimal('660.71'), Decimal('-0.52'))\n",
        "(1300641, 'CC(O)CCOP(=O)(N(CCCl)CCCl)N1CC1', 'CHEMBL1979350', Decimal('319.17'), Decimal('0.19'))\n",
        "(1573338, 'CC(C)C[C@H](NC(=O)[C@@H]1O[C@H]1C(=O)O)C(=O)Nc1nc(-c2ccc(F)cc2)cs1', 'CHEMBL2408920', Decimal('421.44'), Decimal('2.18'))\n",
        "(1579396, 'CC[C@H](O)[C@@H](C)[C@H]1O[C@@H]1C[C@H](C)/C=C/C=C(\\\\C)[C@H]1OC(=O)CCCCCCC=C[C@@H]1C', 'CHEMBL2420604', Decimal('432.64'), Decimal('6.40'))\n",
        "(998031, 'O=C(Cn1c2ccccc2n(CC2CS2)c1=O)N1CCCCC1', 'CHEMBL1574147', Decimal('331.43'), Decimal('1.75'))\n",
        "(1226861, 'O=C1C=CC(O)C2(CO)OC12', 'CHEMBL1886290', Decimal('156.14'), Decimal('-1.21'))\n"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Similarity-based (NN) search"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "smi = 'CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4' #sildenafil"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sql2 = \"\"\"\n",
      "select molregno,m as smiles,tanimoto_sml(morganbv_fp('CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4'::mol),mfp2) as similarity\n",
      "from fps_rdkit join mols_rdkit using (molregno)\n",
      "where morganbv_fp('CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4'::mol)%mfp2\n",
      "order by morganbv_fp('CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4'::mol)<%>mfp2;\n",
      "\"\"\"\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cur.execute(sql2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 35
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for c in cur: print c"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(410802, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 1.0)\n",
        "(1351311, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O', 0.88135593220339)\n",
        "(1351310, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O', 0.88135593220339)\n",
        "(80636, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O', 0.866666666666667)\n",
        "(80694, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O', 0.838709677419355)\n",
        "(488008, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4)CC3)ccc1OCC)[nH]c2=O', 0.825396825396825)\n",
        "(512303, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(C(N)=O)CC3)ccc1OCC)[nH]c2=O', 0.8125)\n",
        "(410662, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCC(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.8125)\n",
        "(488151, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C4CCCCC4)CC3)ccc1OCC)[nH]c2=O', 0.8)\n",
        "(410656, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(C(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.8)\n",
        "(1334756, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(C)nn(C)c2c(=O)[nH]1', 0.8)\n",
        "(488072, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccc(F)cc4)CC3)ccc1OCC)[nH]c2=O', 0.8)\n",
        "(488073, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4Cl)CC3)ccc1OCC)[nH]c2=O', 0.787878787878788)\n",
        "(488147, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccc(Cl)cc4)CC3)ccc1OCC)[nH]c2=O', 0.787878787878788)\n",
        "(1351309, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N(CC)CC)ccc1OCC)[nH]c2=O', 0.783333333333333)\n",
        "(488146, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4cccc(Cl)c4)CC3)ccc1OCC)[nH]c2=O', 0.776119402985075)\n",
        "(488009, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4C)CC3)ccc1OCC)[nH]c2=O', 0.776119402985075)\n",
        "(488010, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4OC)CC3)ccc1OCC)[nH]c2=O', 0.776119402985075)\n",
        "(410657, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(CC(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.776119402985075)\n",
        "(488071, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4F)CC3)ccc1OCC)[nH]c2=O', 0.764705882352941)\n",
        "(488149, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4cccc5ccccc54)CC3)ccc1OCC)[nH]c2=O', 0.764705882352941)\n",
        "(1351312, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N(C)C)ccc1OCC)[nH]c2=O', 0.758064516129032)\n",
        "(488148, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccc([N+](=O)[O-])cc4)CC3)ccc1OCC)[nH]c2=O', 0.753623188405797)\n",
        "(410658, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(CCC(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.753623188405797)\n",
        "(488152, 'CCCCCCCCCC(=O)OCCN1CCN(S(=O)(=O)c2ccc(OCC)c(-c3nc4c(CCC)nn(C)c4c(=O)[nH]3)c2)CC1', 0.742857142857143)\n",
        "(1334601, 'CCCc1nn(-c2cccnc2)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 0.742857142857143)\n",
        "(1334602, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(-c3ccccc3)nn(C)c2c(=O)[nH]1', 0.738461538461539)\n",
        "(410664, 'CCCOc1ccc(S(=O)(=O)N2CCC(C(=O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.735294117647059)\n",
        "(1334603, 'CCCc1n[nH]c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 0.734375)\n",
        "(410660, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(CCCC(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.732394366197183)\n",
        "(283528, 'CCCc1nc(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nn12', 0.727272727272727)\n",
        "(410742, 'CCCOc1ccc(S(=O)(=O)N2CCN(CCP(=O)(O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.72463768115942)\n",
        "(410675, 'CCCOc1ccc(S(=O)(=O)N2CCC(CC(=O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.72463768115942)\n",
        "(488011, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4cccc(C(F)(F)F)c4)CC3)ccc1OCC)[nH]c2=O', 0.722222222222222)\n",
        "(410755, 'CCCOc1ccc(S(=O)(=O)N2CCC(CP(=O)(O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.714285714285714)\n",
        "(410731, 'CCCOc1ccc(S(=O)(=O)N2CCN(CCP(=O)(OCC)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.714285714285714)\n",
        "(410746, 'CCCOc1ccc(S(=O)(=O)N2CCC(P(=O)(O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.714285714285714)\n",
        "(410735, 'CCCOc1ccc(S(=O)(=O)N2CCC(P(=O)(OCC)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.714285714285714)\n",
        "(488150, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(Cc4ccc5c(c4)OCO5)CC3)ccc1OCC)[nH]c2=O', 0.712328767123288)\n",
        "(1575538, 'CCCCCCCCc1nc(-c2cc(S(=O)(=O)N3CCN(C)CC3)ccc2OCC)[nH]c(=O)c1Br', 0.707692307692308)\n",
        "(410715, 'CCCOc1ccc(S(=O)(=O)N2CCC(P(=O)(O)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.704225352112676)\n",
        "(410737, 'CCCOc1ccc(S(=O)(=O)N2CCC(CP(=O)(OCC)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.704225352112676)\n",
        "(1334755, 'CCCc1nn(C)c2c1nc(-c1cccc(S(=O)(=O)N3CCN(C)CC3)c1)[nH]c2=O', 0.698412698412698)\n",
        "(1334754, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2cnn(C)c2c(=O)[nH]1', 0.698412698412698)\n",
        "(410713, 'CCCOc1ccc(S(=O)(=O)N2CCN(CCP(=O)(O)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.694444444444444)\n",
        "(410711, 'CCCOc1ccc(S(=O)(=O)N2CCN(CP(=O)(O)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.694444444444444)\n",
        "(410676, 'CCCOc1ccc(S(=O)(=O)N2CCC(CCC(=O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.694444444444444)\n",
        "(487042, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCNc3ccccc3)ccc1OCC)[nH]c2=O', 0.691176470588235)\n",
        "(1351313, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCc3ccccc3)ccc1OCC)[nH]c2=O', 0.691176470588235)\n",
        "(1575537, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CCC)c(Br)c(=O)[nH]1', 0.6875)\n",
        "(410717, 'CCCOc1ccc(S(=O)(=O)N2CCC(CP(=O)(O)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.684931506849315)\n",
        "(488153, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCOC(=O)CCCO[N+](=O)[O-])CC3)ccc1OCC)[nH]c2=O', 0.684210526315789)\n",
        "(1441770, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CCC)c(CC)c(=O)[nH]1', 0.676923076923077)\n",
        "(567449, 'CCCc1c(OC)cc(OC)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.676470588235294)\n",
        "(410677, 'CCCOc1ccc(S(=O)(=O)N2CCC(CCCC(=O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.675675675675676)\n",
        "(304727, 'CCCn1nc(CC)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 0.671641791044776)\n",
        "(1441766, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(CCC)c(=O)[nH]1', 0.666666666666667)\n",
        "(487043, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCNc3cccc4ccccc43)ccc1OCC)[nH]c2=O', 0.666666666666667)\n",
        "(410679, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)cc3c1OCC3)[nH]c2=O', 0.666666666666667)\n",
        "(140806, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(C)c(=O)[nH]c2=O', 0.666666666666667)\n",
        "(80598, 'CCCc1nn(C)c2c1nc(-c1ccccc1OCC)[nH]c2=O', 0.666666666666667)\n",
        "(487044, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCNCC(=O)O)ccc1OCC)[nH]c2=O', 0.661971830985915)\n",
        "(487046, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCN(CCO)S(=O)(=O)c3ccc(OCC)c(-c4nc5c(CCC)nn(C)c5c(=O)[nH]4)c3)ccc1OCC)[nH]c2=O', 0.657534246575342)\n",
        "(553751, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3ccccn32)c(=O)[nH]1', 0.656716417910448)\n",
        "(283502, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(ncn2CCC)c(=O)[nH]1', 0.656716417910448)\n",
        "(410681, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)cc3c1OCO3)[nH]c2=O', 0.656716417910448)\n",
        "(410683, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)cc3c1OCCO3)[nH]c2=O', 0.656716417910448)\n",
        "(1441475, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CCC)cc(=O)[nH]1', 0.65625)\n",
        "(555103, 'CCCc1c(OC)cc(O)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.647887323943662)\n",
        "(304716, 'CCCn1nc(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 0.647058823529412)\n",
        "(1262965, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(Cl)c(=O)[nH]1', 0.646153846153846)\n",
        "(304811, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(c(CC)nn2C2CCCC2)c(=O)[nH]1', 0.642857142857143)\n",
        "(1262966, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(Br)c(=O)[nH]1', 0.636363636363636)\n",
        "(1262967, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(I)c(=O)[nH]1', 0.636363636363636)\n",
        "(1441764, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(C)c(=O)[nH]1', 0.636363636363636)\n",
        "(1441765, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(CC)c(=O)[nH]1', 0.636363636363636)\n",
        "(558511, 'CCCCc1c(OC)cc(OC)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.633802816901408)\n",
        "(80661, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C(N)=O)CC3)ccc1OCC)nc2O', 0.633802816901408)\n",
        "(556780, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(Br)c(OC)cc(OC)c2c(=O)[nH]1', 0.632352941176471)\n",
        "(563798, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(C)c(OC)cc(OC)c2c(=O)[nH]1', 0.632352941176471)\n",
        "(1441774, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Cl)c(=O)[nH]1', 0.630769230769231)\n",
        "(1351308, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)Nc3ncccc3C3CCCN3C)ccc1OCC)[nH]c2=O', 0.628205128205128)\n",
        "(1262964, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(F)c(=O)[nH]1', 0.626865671641791)\n",
        "(140060, 'CCCn1c2nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)[nH]c2c(=O)[nH]c1=O', 0.626865671641791)\n",
        "(558494, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(F)c(OC)cc(OC)c2c(=O)[nH]1', 0.623188405797101)\n",
        "(558503, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(I)c(OC)cc(OC)c2c(=O)[nH]1', 0.623188405797101)\n",
        "(558510, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(CC)c(OC)cc(OC)c2c(=O)[nH]1', 0.623188405797101)\n",
        "(560323, 'C=Cc1c(OC)cc(OC)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.623188405797101)\n",
        "(562127, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(Cl)c(OC)cc(OC)c2c(=O)[nH]1', 0.623188405797101)\n",
        "(1575536, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C)c(Br)c(=O)[nH]1', 0.621212121212121)\n",
        "(1441771, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Br)c(=O)[nH]1', 0.621212121212121)\n",
        "(1376119, 'CCCOc1ccc(S(=O)(=O)NCCC2CCCN2C)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.618421052631579)\n",
        "(487045, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCN(CC(=O)O)S(=O)(=O)c3ccc(OCC)c(-c4nc5c(CCC)nn(C)c5c(=O)[nH]4)c3)ccc1OCC)[nH]c2=O', 0.618421052631579)\n",
        "(140771, 'CCCn1c2nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)[nH]c2c(=O)n(C)c1=O', 0.617647058823529)\n",
        "(410694, 'CCCOc1ccc(NC(C)=O)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.617647058823529)\n",
        "(511952, 'CCCCN1C(=O)c2nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)[nH]c(=O)c2C1=O', 0.617647058823529)\n",
        "(1441775, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(c(=O)[nH]1)CCC2', 0.617647058823529)\n",
        "(1441474, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C)cc(=O)[nH]1', 0.615384615384615)\n",
        "(1262963, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)cc(=O)[nH]1', 0.615384615384615)\n",
        "(562135, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2cc(OC)cc(OC)c2c(=O)[nH]1', 0.611940298507463)\n",
        "(1441769, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C)c(CC)c(=O)[nH]1', 0.611940298507463)\n",
        "(1575539, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(-c2ccccc2)c(Br)c(=O)[nH]1', 0.611940298507463)\n",
        "(1441768, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(CC)c(=O)[nH]1', 0.608695652173913)\n",
        "(563835, 'CCCCc1c(OC)cc(O)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.608108108108108)\n",
        "(1441472, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(O)cc(=O)[nH]1', 0.606060606060606)\n",
        "(1441471, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(N)cc(=O)[nH]1', 0.606060606060606)\n",
        "(555082, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(Br)c(OC)cc(O)c2c(=O)[nH]1', 0.605633802816901)\n",
        "(139899, 'CCCCCCn1c2nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)[nH]c2c(=O)n(C)c1=O', 0.605633802816901)\n",
        "(565660, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(C)c(OC)cc(O)c2c(=O)[nH]1', 0.605633802816901)\n",
        "(1334600, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(-c3ccccc3)n[nH]c2c(=O)[nH]1', 0.605633802816901)\n",
        "(1441761, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Cl)c(=O)[nH]1', 0.602941176470588)\n",
        "(1441480, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(NC(C)=O)c(=O)[nH]1', 0.6)\n",
        "(140172, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)[nH]c2=O', 0.6)\n",
        "(140026, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC1CC1)c(=O)n(C)c2=O', 0.6)\n",
        "(562146, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(I)c(OC)cc(O)c2c(=O)[nH]1', 0.597222222222222)\n",
        "(556799, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(Cl)c(OC)cc(O)c2c(=O)[nH]1', 0.597222222222222)\n",
        "(563829, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(CC)c(OC)cc(O)c2c(=O)[nH]1', 0.597222222222222)\n",
        "(565656, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(F)c(OC)cc(O)c2c(=O)[nH]1', 0.597222222222222)\n",
        "(1441473, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(NC(C)=O)cc(=O)[nH]1', 0.594202898550725)\n",
        "(1441762, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Br)c(=O)[nH]1', 0.594202898550725)\n",
        "(1441767, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(C)c(=O)[nH]1', 0.594202898550725)\n",
        "(1441763, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(I)c(=O)[nH]1', 0.594202898550725)\n",
        "(140087, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.591549295774648)\n",
        "(1441773, 'CCCCCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Br)c(=O)[nH]1', 0.591549295774648)\n",
        "(140805, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)(C)C)c(=O)n(C)c2=O', 0.591549295774648)\n",
        "(410684, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)cc3c1OCC3)[nH]c2=O', 0.589041095890411)\n",
        "(560347, 'C=Cc1c(OC)cc(O)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.589041095890411)\n",
        "(1441476, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)cc(=O)[nH]1', 0.588235294117647)\n",
        "(1441479, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(F)(F)F)cc(=O)[nH]1', 0.588235294117647)\n",
        "(1441772, 'CCCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Br)c(=O)[nH]1', 0.585714285714286)\n",
        "(555093, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2cc(OC)cc(O)c2c(=O)[nH]1', 0.585714285714286)\n",
        "(1575540, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(F)(F)F)c(Br)c(=O)[nH]1', 0.585714285714286)\n",
        "(140260, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)CC)c(=O)n(C)c2=O', 0.583333333333333)\n",
        "(140807, 'C=CCCn1c2[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc2c(=O)n(C)c1=O', 0.583333333333333)\n",
        "(139960, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC1CCCCC1)c(=O)n(C)c2=O', 0.583333333333333)\n",
        "(80559, 'CCCc1nn(C)c2c1nc(-c1ccccc1OCC1CC1)[nH]c2=O', 0.582089552238806)\n",
        "(1441477, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC(C)C)cc(=O)[nH]1', 0.579710144927536)\n",
        "(1334762, 'CCCc1nn(C)c2c1nc(-c1cccnc1OCC)[nH]c2=O', 0.578125)\n",
        "(410698, 'CCCOc1ccc(NC(=O)CCC)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.577464788732394)\n",
        "(410696, 'CCCOc1ccc(NC(=O)CC)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.577464788732394)\n",
        "(1441478, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(-c2ccccc2)cc(=O)[nH]1', 0.571428571428571)\n",
        "(304703, 'CCCc1nc(C)n2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)nc2O', 0.571428571428571)\n",
        "(410702, 'CCCOc1ccc(NC(=O)C(C)C)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.569444444444444)\n",
        "(80558, 'CCCc1nn(C)c2c1nc(-c1ccccc1NS(C)(=O)=O)[nH]c2=O', 0.569230769230769)\n",
        "(140519, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.567567567567568)\n",
        "(410689, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)cc3c1OCCO3)[nH]c2=O', 0.567567567567568)\n",
        "(410687, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)cc3c1OCO3)[nH]c2=O', 0.567567567567568)\n",
        "(410686, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)cc3c1OCCC3)[nH]c2=O', 0.565789473684211)\n",
        "(304580, 'CCCn1cnc2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)nc2O', 0.563380281690141)\n",
        "(304707, 'CCCc1nc(CC)c2c(O)nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nn12', 0.561643835616438)\n",
        "(140816, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(Cc1ccc(OC)cc1)c(=O)n(C)c2=O', 0.56)\n",
        "(102837, 'CCCOc1ccc(S(=O)(=O)N2CCN(CP(=O)(O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(O)n1', 0.545454545454545)\n",
        "(325914, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3c(C)cccn32)c(O)n1', 0.540540540540541)\n",
        "(512228, 'CCCc1nn(C)c2c1nc(-c1ccccc1O)[nH]c2=O', 0.53968253968254)\n",
        "(410708, 'CCCOc1ccc(NC(=O)C2CCCCC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.539473684210526)\n",
        "(102529, 'CCCOc1ccc(S(=O)(=O)N2CCN(CP(=O)(OCC)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(O)n1', 0.538461538461538)\n",
        "(1334759, 'CCCc1nn(C)c2c1nc(-c1cccnc1OC)[nH]c2=O', 0.537313432835821)\n",
        "(1008491, 'CCCc1nn(C)c2c1nc(-c1cc(S(N)(=O)=O)ccc1OCC)nc2O', 0.536231884057971)\n",
        "(326033, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3cc(C)ccn32)c(O)n1', 0.533333333333333)\n",
        "(1334767, 'CCCc1nn(C)c2c1nc(-c1cccnc1O)[nH]c2=O', 0.53030303030303)\n",
        "(1469709, 'CCOc1ccc(S(=O)(=O)N2CCOCC2)cc1-c1nc2ncccc2c(=O)[nH]1', 0.527777777777778)\n",
        "(325968, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3ccc(Br)cn32)c(O)n1', 0.526315789473684)\n",
        "(1334776, 'CCCc1nn(C)c2c1nc(-c1ccsc1)[nH]c2=O', 0.523809523809524)\n",
        "(1334773, 'CCCc1nn(C)c2c1nc(-c1cn(C)cn1)[nH]c2=O', 0.523809523809524)\n",
        "(80670, 'CCCc1nn(C)c2c1nc(-c1ccccc1[N+](=O)[O-])[nH]c2=O', 0.522388059701492)\n",
        "(1334761, 'CCCc1nn(C)c2c1nc(-c1cccnc1OC(C)C)[nH]c2=O', 0.521739130434783)\n",
        "(971340, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NC)ccc1OCC)nc2O', 0.52112676056338)\n",
        "(800246, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N(CCO)CCO)ccc1OCC)nc2O', 0.520547945205479)\n",
        "(1469710, 'CCOc1ccc(S(=O)(=O)N2CCN(c3ccccc3)CC2)cc1-c1nc2ncccc2c(=O)[nH]1', 0.520547945205479)\n",
        "(140606, 'CC(C)COc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.52)\n",
        "(1227092, 'CCCc1nn(C)c2c1nc(-c1cc([S+](=O)([O-])N3CCN(C)CC3)ccc1OCC)nc2O', 0.52)\n",
        "(326091, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3ccc(C)cn32)c(O)n1', 0.52)\n",
        "(1353820, 'CCCc1nn(C)c2c1nc(-c1ccc(C)cc1)[nH]c2=O', 0.516129032258065)\n",
        "(512227, 'CCCc1nn(C)c2c1nc(-c1ccccc1)[nH]c2=O', 0.516129032258065)\n",
        "(1334771, 'CCCc1nn(C)c2c1nc(-c1cn(C)nc1C)[nH]c2=O', 0.515625)\n",
        "(1353819, 'CCCc1nn(C)c2c1nc(-c1ccc(OC)cc1)[nH]c2=O', 0.515625)\n",
        "(1212525, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCO)ccc1OCC)nc2O', 0.513513513513513)\n",
        "(1269220, 'CCCn1nc2c(nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)cnc3OCCOC)[nH]c2=O)c1CC', 0.513513513513513)\n",
        "(140345, 'CCOc1ccc(S(=O)(=O)N2CCN(CC)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.513157894736842)\n",
        "(1353817, 'CCCc1nn(C)c2c1nc(-c1ccc(Br)cc1)[nH]c2=O', 0.507936507936508)\n",
        "(1334775, 'CCCc1nn(C)c2c1nc(-c1ccnn1C)[nH]c2=O', 0.507936507936508)\n",
        "(421326, 'CCCc1nc(C)c2c(=O)nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)ccc3OCC)[nH]n12', 0.506666666666667)\n",
        "(28710, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(O)c2cc3[nH]cnc3cc2n1', 0.506666666666667)\n",
        "(140382, 'CCOc1ccc(S(=O)(=O)N2CCN(CCN(C)C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.506329113924051)\n",
        "(1334770, 'CCCc1nn(C)c2c1nc(-c1ccc(=O)[nH]n1)[nH]c2=O', 0.5)\n",
        "(511950, 'CCCCN1C(=O)C2=C(N=C(c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)NC2)C1=O', 0.5)\n",
        "(1353821, 'CCCc1nn(C)c2c1nc(-c1cccc(Br)c1)[nH]c2=O', 0.5)\n",
        "(326382, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3cccc(CC)n32)c(O)n1', 0.5)\n",
        "(1353818, 'CCCc1nn(C)c2c1nc(-c1cccc(Cl)c1)[nH]c2=O', 0.5)\n",
        "(1353816, 'CCCc1nn(C)c2c1nc(-c1ccc(Cl)cc1)[nH]c2=O', 0.5)\n",
        "(140451, 'CCOc1ccc(S(=O)(=O)N2CCN(CCO)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.5)\n",
        "(1334766, 'CCCc1nn(C)c2c1nc(-c1ccc(O)cc1)[nH]c2=O', 0.5)\n",
        "(1351307, 'CCOc1ccc(S(=O)(=O)Nc2ccc(O)c(C(=O)O)c2)cc1-c1nc2c(C(C)(C)C)nn(C)c2c(=O)[nH]1', 0.5)\n",
        "(453288, 'CCCc1c2nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)cnc3OCCOC)[nH]c(=O)c2nn1C', 0.5)\n"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "More about the RDKit Cartridge here: http://www.rdkit.org/docs/Cartridge.html"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Working with Pandas"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem import PandasTools\n",
      "import pandas as pd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "height has been deprecated.\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data = pd.read_sql(sql2, conn)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 39,
       "text": [
        "(194, 3)"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>molregno</th>\n",
        "      <th>smiles</th>\n",
        "      <th>similarity</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>  410802</td>\n",
        "      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 1.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1351311</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 1351310</td>\n",
        "      <td>     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>   80636</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.866667</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>   80694</td>\n",
        "      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.838710</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 40,
       "text": [
        "   molregno                                                          smiles  similarity\n",
        "0    410802    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000\n",
        "1   1351311       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356\n",
        "2   1351310      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O    0.881356\n",
        "3     80636       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O    0.866667\n",
        "4     80694  CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O    0.838710"
       ]
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Filter the table"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nn = data[data['similarity'] >= 0.8]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nn.shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 42,
       "text": [
        "(12, 3)"
       ]
      }
     ],
     "prompt_number": 42
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nn.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>molregno</th>\n",
        "      <th>smiles</th>\n",
        "      <th>similarity</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>  410802</td>\n",
        "      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 1.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1351311</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 1351310</td>\n",
        "      <td>     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>   80636</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.866667</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>   80694</td>\n",
        "      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.838710</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 43,
       "text": [
        "   molregno                                                          smiles  similarity\n",
        "0    410802    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000\n",
        "1   1351311       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356\n",
        "2   1351310      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O    0.881356\n",
        "3     80636       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O    0.866667\n",
        "4     80694  CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O    0.838710"
       ]
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Add RDKit molecules and descriptors to the table"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "PandasTools.AddMoleculeColumnToFrame(data,smilesCol='smiles',molCol='mol',includeFingerprints=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 44
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>molregno</th>\n",
        "      <th>smiles</th>\n",
        "      <th>similarity</th>\n",
        "      <th>mol</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>  410802</td>\n",
        "      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 <img 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\" alt=\"Mol\"/></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1351311</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "      <td>                                                                                                             <img 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\" alt=\"Mol\"/></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 1351310</td>\n",
        "      <td>     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "      <td> <img 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\" alt=\"Mol\"/></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>   80636</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.866667</td>\n",
        "      <td>                                                                         <img 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\" alt=\"Mol\"/></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>   80694</td>\n",
        "      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.838710</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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\" alt=\"Mol\"/></td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 45,
       "text": [
        "   molregno                                                          smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    mol\n",
        "0    410802    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  <img 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\" alt=\"Mol\"/>\n",
        "1   1351311       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356                                                                                                              <img 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\" 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\" alt=\"Mol\"/>\n",
        "3     80636       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O    0.866667                                                                          <img 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\" alt=\"Mol\"/>\n",
        "4     80694  CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O    0.838710                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         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Hj0kPDxcioqK2lp6ux08GConTrws+/Z5y8mT70htbaHJ9m00KkfKjo7Kl82lS+3fZ15ensTFxUn37t3Fy8tL4uLi2EnfTtoMLINB5PBhy/Ro30BDYIkoR1nmDqyEhARxdnaWxx9/XC5cuGCSfW7ZskWioqLEwcHhytHAxctXDerr6yUuLk7s7e3lnXfeUaVT+dy5ZDlx4mUpLHxNjh6dKSIGKStLk9zccNm9215yc8Pl/PkUMRrrbrqv6zl9WiQsTKRnT5FNm0xXe4OGYSUDBw4UJycniY6Olh07dpi+IRugvcC6cEHk0UdFPvxQ5LnnGhPDQoxGkYQEkddea9372vO3XllZKdOmTRMXF5dWnQK2Rk5Ojrz44ovSpUsX8fb2lnnz5klERIS4u7vL+vXrzdLmrTIYqsVguDagKyt3SEHBNNm920nS0t6Sf/5TpKKidfveskXEx0ckNFSk0HQHbNe1a9cumTZtmowaNUpyc3PN32AHo73AWrhQ5MsvG7fHj1dSpMHPP5vmeL4F586JTJwo0quXSGu7caKiRIKCRJKSRFoz7OnAgQMyePBg6d+/v+zZs6d1jbZBRUWFLFmyREaNGiWTJ0+W/Px8s7d5NaOx9cleV1ckKSnHxMdHpEsXkRdfFLnqgqmItDwEZflyEScnkZdeMtuvzHUFBQXJRx99ZNlGOwDtBVbz38Ynn1SSREQZX+DnJ+LlJfLmm8o5mYls2ybSu7fIuHEibenG2bNH6YR3cRHp21fkgw8ay76eVatWiaurq0yZMkXKy8vbVrjGnDr1FykoiG7Te+vqRFJSRO65R0SnU77LGq4dtDQE5csvlcfVMHnyZHmttYfpJNq7l/BG69G5uCgLbK5aBRw6BPTtC0REAGvXtnkqXRHg/feBsWOBp58Gvv0W8PRs/X7uvFNZrLiwEHjuOWUqp8ce24SZM2ciMzOzyWsbbiJ++umnsWDBAqxZswZdunRpU/1aIlKHkpKP4OoaeuWx0tLPUVd38pbe7+AAREUBP/0E5OYq/80/+6zx+QkTgMWLG7cnTQIeeshExbeSv7+/alMBaZraidlqNTUiTz0lMm+eyNSpjV+hLcnKUvq5XF1FAgLk1McfS0UrOjkqK2tk2jTlNCMlpf2lX81gEPn66+9lwoQJYmdnJ8HBwZKcnCzZ2dkSGBgo/v7+snPnTtM2auXOn18re/d2F4NBGZlfW3tGdu/uJBUVP7Z73y0NQVHT4sWLZdSoUeoWoUHaC6wGFy827btav14JsZbGzpSXi3z4obx9//3SpUsXmTNnzk2HBGRlZUlAQIA8/niymLtvNDc3V1566SVxd3cXf39/uffee1UdPqCWqr/HSHHm61e2T59+T377bbhJ9t3SEBQ1bdy4UTw8PNQtQoO0G1jNffWV0qttby/y4IMi333XNNAua7hK4+joeOUyfvN77RqGD8TFxV0zItyczp8/L3Z2drJ7926LtWk19u8XsbNThquIiBgNcmBffykq+tAku29pCIqasrKyBIDJhqfYio4TWA1yckRiY0U6dxbx9hZ55x2RFkZzHz58WF566SXp2rWr9O7dWxYsWCClpaXy8MMPi7u7u6RaqDf2q6++anIPoK+vr+rDCFTx3HMiEyY0bm/cKMYRQ6S+tky9mszowoVKCQ2dKdnZN56Oh5rSXqf7zQweDCxapHS+z5kDfPwxjIGBiJ0zB9nZ2Vde1r9/fyxcuBAnTpxAXFwccnNzERgYiPz8fOzYsQMPWag3duHChUhNTb2yrea87KqpqwNSU4Fnn218bNEi6H4fDnvHjjkFsqtrZxw8uBz5+berXYqmdLzAauDpCbz+OnDkCE4sW4bsQ4cwfPhwREREIC0t7coqxW5ubggJCcHKlSsxZswYZGRkYMCAARYrs/k87NYyL7tFOToCOTlAZKSynZMDfP898OKL6tZlZv7+gK19N7VXxw2sBvb28Js4EZs2bcLx48cRHByMZ555Bj4+Ppg3bx5OnjyJ1atXIzw8HMnJyXB1dbVoec3nYVdzyXlVubsD9soUyDAYgLg4wAxfHNnZwMGDJt9tm+j1gK19N7VXxw+sq/j4+GD+/Pk4cuQI3n77bWzcuBGDBg1CWVkZamtrVamp+SmgmmsLWo1hw4D33jPLrv/6V2UMnDXQ63mE1Vo2FVgN3Nzc8NxzzyErKwtff/01Ro8erVpINJwCyuUFGfz9B8LZ2UuVWlRhNCpLzZeVWaQ5awoJHmG1nk0G1tXuuece9OvXr0loWJJefweGDUtBcbHSp+bndw927PgO589bvBTLq6wEpkwBvvlG6W9ctcrsTVpbYFlLLVph84EFKEc51dXVKCoqsnjb3t5u2L8/EgUFSv9Nnz5KV45N/CKvWAFERyud6x99BKxcqdwLZUbWFBIBAcADD7T5rjGbxMAC4O3tDScnJ1VOC+3sgN69gYZ+9k6dAG9v6/mjMqsjR4BBgxq3PTyA0lKzNqnXAxUVsIojWD8/4JNPGq810M0xsADY2dmhd+/eqvVjNb+8rdc3BliHdqMb2c3Epo5gOyAHtQuwFmoO2Gx+muLvbyOdsTNmALNnK6FVWAjMnWv2Jh0dgeDgfTh1yhO/+10vs7d3IzU1QHU10K2bclpYWQl07ZjjZE2GR1iXqTlgc+BA5Ze3sRYbOQJwclLOid56C/j0U2DiRAs1HIvc3NUWauv6vv1WmQKnuho4cQL4y1/Ursj6MbAu8/PzU23A5quvAklJjdsBAcrUXjbjttsAnc5izVnT3QTN5+iiG2NgXWZN9/A99hiwZo3aVXRc1vT/OiQEyMoCysvVrkQbGFiX+fv7qzYWiyzL2u4meOUVYMEC5ee9e5VZUlW68cLqMbAu0+v1qKmpwZkzZ1Sto6am8cq+wcBvXnNQ+wgrL6/p9ogRjWfEWVnKpBV6PTB/PnD6tKWrs3IqT29jNQwGgzg5Oam+vHhLiyWQaeXn5wsAOXezVUBMrKxMWaHOz+/Gq/TU1ChTco8Zo8xpGB4ukpbW4nyUNodHWJfZ2dmhT58+VnGqwI5Y8/L19YW/vz8SEhJQbqFD2IwM5Z7uM2eUnzt1uv5rnZyUxTQyMoBNm5ShDo88AgQFAcnJ21FdXW2Rmq0RA+sqap8qNGBHrHl16tQJiYmJWL9+PXx9fa/cCG8ORqNyahcWBjzzDPDjj4CPz62/PywM+Pxz5aaABx4w4M03p8HX1xevvfaaTU5DxMC6SvPL3QaDAQcOHFCllqs7Ysn0IiIikJWVhR9//BFGoxF33XUXRo4ciWXLlpnsCObcOeDBB4EPPwTWrVOCy6GNQ7V79wbefdceeXm5+OSTT5CZmYl+/fohJCQEa9euRX19vUlqtnYMrKs0v3q0c+dOBAUF4Z577sGaNWvMOmeWCHDhQuP21R2xZD5BQUFITEzE0aNHERUVhffeew96vR7z5s1r11itPXv24PHHz+HYMWD7duAPfzBNvXZ2dvjDH/6A9PR0bN++Hf7+/pg2bRqGDx+OxMRE0zRizdTuRLMmq1atkoEDBzZ5rLS0VBISEsTPz0+6du0qsbGxJl++vaxM5JFHRCZONOluqQ0MBoOkpaVJeHi42NvbS3h4uKSlpYmxFT3eS5cuFWdnZ4mN/atcvGjGYi8rKiqSd999VwIDAyU9Pd38DaqIgXWVb775Rjp16iQ5OTnXPGcwGCQ9PV0iIyOv/CKnpKRIfX19u9rMyBDp3Vvkf/5H5Nixdu2KTOzQoUMSFxcn7u7uMnDgQImPj5fz589f9/Xnz5+XSZMmibu7uyorH0VERMh7771n8XYtiYF1WW1trYSFhcnQoUPFwcFBIiIi5IsvvmgxkA4dOiSxsbHi6uoq/fr1k/j4eCkpKWlVe0ajSHy8iKOjSFycSG2tqT4JmVpFRYUkJibKsGHDxM3NTWJiYuTAgQNNXvPrr7+Kn5+f3H333XK0pcV8LWDWrFkSExOjStuWwsASEaPRKFOmTJFBgwbJ2bNn5fTp0xIfHy+9e/cWLy8viYuLk+PHj1/zvvLycklMTJShQ4eKk5OTREVF3dI4rtJSZa3Xbt1EvvjC9J+HzGfLli0SFRUlDg4OEhwcLCkpKfKPf/zj8ilgrNTU1KhW27vvvivjx49XrX1LYGCJyFtvvSWenp7X9E3V19c36c+IjIyU9PT0a/oz6uvrJTU1VcaNGyc6nU7uvfdeSUtLa7Gt7OyDEhRkkBEjRK5aP5U05tChQzJ37lzp0qWL9OvXT5KSktQuqcU+2I7G5gPr448/ls6dO8uOHTtu+LqcnByJjY2Vzp07y+DBgyUhIUEqKyuveV12drY8//zz8vLLL1/z3KpVq8TV1VVef32jVFWZ7COQii5evCgGg0HtMkREZOvWreLk5GQ19ZiDTQdWenq6ODs7X/doqCUNp4FDhgyRLl26SExMjGRnZ9/wPZWVlTJ16lRxd3eX1NTUdlZN1LLCwkIBICdPnlS7FLOx2XFYhw8DCxZ8g7feegt/aMUgmS5duiAmJgZZWVlYt24dSktLcccddyAiIgJr166FodmKAllZWRg5ciQOHDiAHTt24KGHHjLxJyFS9OrVS7W1CSzFJgPr7FlltRIfnwV4/fXX27QPOzs7hIeHIyUlBTk5OQgKCsJzzz2HQYMG4f3338e5c+eQnJyM0aNHY/z48fjll18wwAwrGRM1sKb7Yc1FJ2JbE0BVVgJjxyr3c61fb9oVSyoqKpCUlIQlS5bg1KlTqKurw8KFC/Hss8+arhGiGxg/fjzGjh3b5i9ia2dTgVVfr9zbdeoUsGUL4OpqnnZEBGFhYQgKCsIC3hBIFhQTEwMAWLZsmcqVmIdNnRLOmQMcOAB89ZX5wgoAdDodampq4O/vb75GiFpgbbOpmprNBNZHHykroa9bpyxUam7FxcXw9PQ0f0NEV7GWKZLMxWYCa/RoZWGHUaMs015JSQkDiyyuYW0Co9Godilm0SEDq6V50e+8E4iMtEz7VVVVqKyshIeHh2UaJLpMr9ejtrYWpzvoZPBWtfJzWFgYMjMz4eXlhdtvvx09evRAjx494OHhAU9PT/j63gU3t1B4eQFeXoCHhzKdbHPffgu89BKQkwMUFSnTDf/975b7HCUlJQDAIyyyuF69esHZ2RlHjx6FT2umNtUIqwqslStXorCwECUlJSguLsbp06dRUlKCEydOYMeOHfDyssfmzaEoLm58j7s70LOnEl79+wP/93/K4w3zokdFWf5zFBcXw8HBAbfffrvlGyebptPp0KdPHxQUFCA4OFjtckzOqgLL19cXvr6+N31dfT1QUqL8O3MGKC5W/l192h4SAqSnA+PHm7Hg6yguLkb37t1hZ9chz7jJynXkjnerCqxb5eAA9Oql/Bsx4vqve+UV5VTQ0mdm7HAnNTVfm6Aj6dCHAGrNi84hDaQmPz8/HDx4sENeKbSpke6W8qc//QmFhYVYvXq12qWQDTpy5AgiIiJgb2+P559/HjNmzEDXrl3VLsskOvQRllqKi4s5pIFU07dvX2RmZuLVV1/FihUr4OnpiSlTpiAjI0Pt0trNZgKruBiw1LqTJSUlDCxSVcM0SPv27cOaNWtQWlqK0NBQjB07Fmnr1ilXrjTIZgLr7beB6dOV9f/MjX1YZC3s7e3x0EMPIT09HdnZ2Rg2bBgu/utfgF4P/OUvymV2DbGZwHrvPWUgacM4LXNiYJE1Gjx4MBYvXozHN24EFi4EvvlGmWcpIgLYsMEy3+btZDOB1b27ElqvvaZM4GdqZWVlV37msAayak5OyojqjAzgu+8ANzfg4YeBkSOVb/TqauV1RiOQlwdc9buNmhqgqkr52WBo+pwF2NRVQqNRGVA6fDjQnlW9a2pqsGvXLmzfvh0ZGRnYvn07+vfvj4yMDFRUVKBr1644dOgQBg4caLriicypqAj45BNg2TLgp5+UW0imTwd+/3vl1GTMGGDqVOCLL5SQmj4dKCwE4uOVW0osRJMDR9vKzk4JqpEjlf/eo0ff2vvOnlW+jH7+GThyJA5ff50AnU6HkSNHIjQ0FLNmzbpyGwTvIyRN8vIC4uKAV19VpuFNSACio4FJk5Tn77sPePJJ5WejUem0b7Z+gSXYVGABytHV008rN0hfL7BKS4GNG4GtW5V/OTnKUXNwMHD//Q/i5ZcjMWrUKDg7O1/z3uLiYjg5OcHd3d28H4TIHBrmDD9yBLj//sbHPTwap0D57DNg/35lvvEW/gbMyeYCC1COYG80l/vJk8qRbkiI8qUTEgL07dvw7JgW33PmzBls27YNq1evho+PDy5evIjOnTubvHYiiwgIAPbuBQYNUraLi5WOYAB44ommp4QWZJOBdbOFJ4YNA3777frPG41G5OTkYOvWrdi2bRsyMjKQn58PX19fhIaGonPnzhg7diw2bNiAnj17mrZ4IkuYMQOYPVsJrcJCYO5ctSsCYGOd7s3V1CgXRLp1U07HKyuBlu5gqKoCdu5U+rG2bQPy8sJx6ND3GDx4MEJDQ6/80+v1AIBLly5hxowZ+PHHH7FhwwYEBQVZ9oMRmUpVFeDios5NuS2w6cD64ouWJ/o7c0YJp4aA2rNHeX1QkNLvNW7cPowa1euGHesigj//+c9YsGABkpOTW7VYKxG1zCZPCa/WfKI/oxEYMkT5QhkzRrlI8re/KXPBu7g0vOuOm+5Xp9Nh/vz58PX1RVRUFP7+97/jhRdeMNvnILIFNh9YzSf6s7NTLoD4+prmKHjmzJno06cPoqKicPjwYSxcuJAT+xG1Ef9yoEz0d/V6p717m/aUffz48diyZQvWr1+PyZMno6phpDARtQoDC5aZ6G/EiBH45ZdfUFBQgLCwMBQVFZm3QaIOyKY73dVw4cIFPPbYYzh48CA2btyIgIAAtUsi0gweYVmYm5sb0tLSMH78eAQHB2Pz5s1ql0SkGQwsFTg4OOBf//oX5s+fj/vuuw+J7bkTm8iG2PxVQjXNnTsX3t7eiI6ORnZ2NhISlJuqiahl7MOyAtu2bcODDz6IsLAwfPrppy3eVE1EPCW0CmPGjMH333+P7du3IzY2Vu1yiKwWj7CsSGpqKqKjo1FWVgb7m92hTWSDeIRlRU6cOIGAgACGFdF1MLCsSGZmJu688061yyCyWgwsK8LAIroxBpaVqKmpQXZ2NgOL6AYYWFbit99+g4hg+PDhapdCZLUYWFYiMzMTgwYNgkvjpFtE1AwDy0qw/4ro5hhYVoKBRXRzDCwrYDAYsH//fgYW0U0wsKzA4cOHUVVVxcAiugkGlhXIzMyEn58fV4smugkGlhVg/xXRrWFgWYHMzEwEBgaqXQaR1WNgWQEeYRHdGgaWyo4fP45z584xsIhuAQNLZZmZmfDw8ICvr6/apRBZPQaWyth/RXTrGFgqY/8V0a1jYKnMzs4ORqNR7TKINIGBpbLJkydj0aJFeP/999UuhcjqcREKK/DDDz/g0UcfxaRJk7B8+XJ06tRJ7ZKIrBIDy0pkZ2dj4sSJ6Nu3L9atW8fbdIhawFNCKxEQEICdO3fi0qVLCA4OxtGjR9UuicjqMLCsSI8ePbBp0yYMHz4co0ePxq5du9QuiciqMLCsjLOzM1avXo3Zs2dj7NixSEtLU7skIqvBwLJCOp0O8+fPx8KFCzFlyhT885//VLskIqvATncr99133yEqKgrTp0/HwoULYWfH7xiyXQwsDdi/fz8iIyMRFBSE//znP7jtttvULolIFQwsjTh16hQiIyPh6OiItLQ0eHl5qV0SkcXx/EIjvL298fPPP8PDwwOjR49GTk6O2iURWRwDS0NcXV3x5Zdf4v7770dwcDB+/PFHtUsisigHtQug1rG3t8fixYvh6emJBx98EHl5efDw8FC7LCKLYB+WhuXn56Nfv35ql0FkMQwsItIM9mERkWYwsIhIMxhYRKQZDCwi0gwGFhFpBgOLiDSDgUVEmsHAIiLNYGARkWYwsIhIMxhYRKQZDCwi0gwGFhFpBgOLiDSDgUVEmsHAIiLNYGARkWYwsIhIMxhYRKQZDCwi0gwGFhFpBgOLiDSDgUVEmsHAIiLNYGARkWYwsIhIMxhYRKQZDCwi0gwGFhFpBgOLiDSDgUVEmsHAIiLNYGARkWYwsIhIMxhYRKQZDCwi0gwGFhFpBgOLiDSDgUVEmsHAIiLNYGARkWYwsIhIMxhYRKQZDCwi0gwGFhFpBgOLiDSDgUVEmsHAIiLNYGARkWYwsIhIMxhYRKQZDCwi0gwGFhFpBgOLiDSDgUVEmsHAIiLNYGARkWYwsIhIMxhYRKQZDCwi0gwGFhFpBgOLiDSDgUVEmsHAIiLNYGARkWb8PzlLob+8EE9wAAAAAElFTkSuQmCC\" alt=\"Mol\"/>"
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data['logp'] = data['mol'].map(Descriptors.MolLogP)\n",
      "data['mw'] = data['mol'].map(Descriptors.MolWt)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>molregno</th>\n",
        "      <th>smiles</th>\n",
        "      <th>similarity</th>\n",
        "      <th>mol</th>\n",
        "      <th>logp</th>\n",
        "      <th>mw</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>  410802</td>\n",
        "      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 <img 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UrVwodzbqZPExMRI4Q0j4+Xl5fLyyy+Ls7OzPPLII1JcXCwXL16UmJgYadu2rTz44IOye/duq5V37ZrI//yP5Qt/4cLbGxNOTk6WQYMGiZeXlyQkJDQYQG+OCxcuyGOPPVbTmiovL6/3en5+vkyfPl10Op0sXrxYjLco+MKFCxITEyM6nU7GjRt320G3Z88eCQoKku7du0tubtptffbkyUly4sTD9fZdyntZSv8wTaQZoU7Wx8D62YkTJ+TBBx+8abfn22+/lblz58oLL7wg7u7uMnToUElPT7dZfTt3ioSGlkpwcOgtz7tjxw4ZOXKkuLq6Snx8fLNaH7eSkpIinTt3lkGDBsnevXsbreHhhx++aWvu2rVrEh8fL25ubhIWFia7du1qdi0VFRWyatUbcviwh5w6NUMqKm49+FdY+JkcPuwipaW1g+oGw0E5dMhJfvppR7NrIetiYNXxS92e7du3i5+fn/Tp00fWrVtnvcvrv6B6kNvd3V3Cw8Plhx9+qPd6YwPV1lRYWCixsbHSpk0biYmJkeLi4lt+pri4WOLj48XT01NCQkJaNPQrKs5LXt6v5PBhN7l4MUHM5qqbvreqqkiKijbXbJvNFXLs2GA5c+bpFquHWh4DqxEXLlyQ6dOni4uLiyxZskTKyspkxIgREhcXJ5WVlUqXJ6dOnZKHH35YvLy8JDExUY4cOSLh4eE1A9Vn7+TyZDN8/fXX0r9/f+nUqZN88sknjb7HaDRKQkKC+Pr6St++fSU5OblBK7alFBWlyNGjneXbb0PEYGjaFZBLl16Xo0fbS2Xlj1apiVoGA+smzGazvP/++3L33XfLjBkzpH379rJ58+Zbf9BGTCaTrFixQjw9PcXT01PGjx8vGS1xebKZSktLZcmSJdK2bdt6rb/KykrR6/XSpUsXCQgIkKSkJJuEflVVoZw7FyuHDrWVc+dixWSqHb+rrLwiRmOOmM21F0kuXlwqP/74H6vXRXfGQUQl866oVEFBAS5evIjQ0FB88cUXGD16tNIl1fPCCy8gKysLW7ZsUboUAEBGRgaio6ORn5+P6OhopKamIj8/HwsWLEBsbKzNH2D+6acvce7cM3BwcEbfvjtQWpqNa9c+gIfHCJjNRvj7cwYGLbHPZwlbkL+/P4KDg1UzdfCECROwZ8+emm2TyQRfX18FK6pv2LBhyMjIwPPPP4/8/HxMmzYNp0+fxqJFixT5/69duwkIDMxG+/Z/gE7nD6PxENq1ewi+vtEMKw2yz+llWlhZWRnMZrMqAmvv3r2orKys2VbLhHt16XQ6LFy4UOkyajg6usHXNwYA4Of3DC5fXoq8vMnw8HgQHTq8oHB1dDvYwmoCReYTv4kbW3o2mXbFjrRp44lOnV5F796bUVz8BUQUnjGRbgsDqwnUElhlZWUwmUzKz8SpYdeufYjz559Hfn48XFz6oarqMgoK/qF4cB06dAgTJ07EY489hpSUFEVrUTMGVhNUL4CgdEumseBkYN0eH59fo1Onv6Jjxz+he/dVKC8/jUuX/obc3PthNGbavJ7jx4/j8ccfx3333Qc/Pz/06dMHTzzxBCIiInDx4kWb16N2DKwmMBgMcHR0hIuScxej8ZVj2CX8Zd9/PxfFxV/U2+fo6AJHRw8AgIdHKIKC8tCu3UPIzR2G77+fB5PpJ6vXdeLECURGRiI4OBh333038vLysHbtWiQkJCAvLw9msxm9e/fG0qVLYVJ6on8VYWA1QfW0wQ4KTxFqNDrg3nvHwdW1NrBcXLzRrl17BatSr6KiT3Ht2gdwcen/i+9zdHRH584J6Nv3K5SU7MKxY/1RWPiJVWo6c+YMIiMjERgYCADIzMyEXq9Hjx49at7TqVMnbNiwAR999BGWL1+OoUOH4uDBg1apR2sYWE2glm5XSUkXZGamw83NtWbfuXOfw8XlCQWrUieTqRjnzv0eHTu+BGfn6oUzzLh6dSVEKhr9jIfHSAwYcBA+Pr/GyZNz8cILJbhypWXqKSoCXnqpEsOHP4hz584hLS0NycnJGDhw4E0/M3XqVOTk5CAsLAyjRo1CXFwcSkpKWqYgjWJgNYFaAstgaLh4i8FgWSOB6rtw4SXodB3Qvv0fa/ZdufIv5OcvhslUdNPPOTq6oUuXt+DndxJpaR4YMABISmr+spYGA/Daa0DPnsCnn+qwZs127Nu3D2PHjm3S5728vLBs2TJs27YNW7duRXBwML788svmFWMHGFhNoJabRo1G4MYyGtvX6h05Aq+Vx9Ct2z/h4GC51bCi4izOn38BXbu+Aycn/1seIiDAD4cPA3/7m2U93tBQoM66HLdUWmpZ16RbN8sSbsnJQHY2MGlSr2b9SKGhocjMzMS8efMwbdo0REZG4kpLNf80hIHVBOpZvr1hODW2r1WrrASeegrtrgfB3X1Eze5z534PT8+x8PF5ssmHqru4UseOlhW7Fy60rARWVla7Nq/JZFnuEgDKyy1B1b07sGoV8K9/AUeOAOPG3fmPptPpEB8fj+zsbPz444/o168fVq5cafNFbpXEwGoCNXUJ65ZRVWX5B6KC0tTjjTcsA0Z/+UvNrorDX6L06gF07fr3Zh2yUyfgk0+A996zLBq+cyewZYslwEpLgR9+sJzuwgXg3nstJSxYYGlRRURYgq8l9enTB1u3bkViYiIWL16MMWPG4LvvvmvZk6gUA6sJ1BpYP9/lwDGsasePA3/+s6VZ4+lp2Xf9Oto+Go2gffFwdm5ed6za7NlAXh4wcaJle+JEYPny2tc7dgR+9zvg1ClLYLm6Nn6cluDg4IDZs2cjJycH3bp1Q0hICF5++WVUVDR+QcFeMLCaQC1jWI89ZhkArvbzfaRsYVXLyQGmTgUmT67dt2AB4O8Ph+f+X4ucwsur9u+hoZZTVncHHRyAZ5+t/x5r69ChA9asWYP169dj9erVGDZsGPbv32+7AmyMgdUEamlh+fsD/frVbjOwbhARAaxfX7u9axfwf/8H6PVAmzZWOeXzz6tjsegpU6YgMzMTw4cPR1hYGBYtWoTSukuN2wkGVhOoZdD9RgEBwLVrtb0fusFLLwHR0cCQIVY7RXBw/dtMlOTt7Y1Vq1YhLS0NmzZtwhdffHHrD2kMp5dpAoPBgI4dO9Zsm81mvP766/jtb3+Lu+66S7G62rQBvL0VO736ffwxYKXHqR59tPbvdbvpajB69Gj07t0bR48eRUREhNLltCi2sJrgxi5hQUEBPvnkEwwcOBAbN25UpKabXVZvdcxmy0h4UVHD1/z9gXbtbF6SGqhl3LWlMbCaoKSkBG3qjIF06NABGRkZeO211xAdHY0xY8bgxIkTNq2pscvqrU5JCRAZCfz3v8DixcC6dUpXpBpqGXdtaQysW1i1ahWOHz+ON954A2vWrKnZX/eysq+vL+655x6bP1l/42X1Vue99yz3Gjz3HLBiBbB2bfOfoWmGa9cs92SpEQOrlamoqEB0dDT++Mc/IikpCXq9Hs8//zxCQ0Px7bff1ryvY8eOWL9+PT7++GP885//xJAhQ5CRkWGTGm+8rN7qnD5d/7Kpn19tP9kG9u0DnlDpc+dqvVB0pxhYjSgoKMDYsWOxdetW7N69G5MnT0ZERAS+++47DBw4EPfccw8WLlyI8vLyms9MnToV2dnZGD16NEJDQ232ZL1aLqsrIjAQyMys3S4oAHx8bHZ6NT8WxTGsViInJwcjRoyAk5MTMjIyMGjQoJrXfHx8oNfr8fnnn+Ojjz5CUFAQtm/fXvN69ZP127dvr3myPi0trUXqEgE+/xyIj6+/X02X1W3u6act41eLFgFRUUCcbVfBUXNg2WuXkAup1vHZZ5+Jh4eH/OY3v5Hy8vJffK/BYJD4+HhxcnKSqKgouXr1ar3XKyoqJCEhQZydnSUiIkIKCgqaXdeWLSLDhol4eIgsXixiMjX7UPbJYBCx0irSv2T5cpH777f5aZtkzJjfy4EDeUqX0eIYWD/797+zRafTyauvvnpbS6gfOXJEhgwZIh06dJCkpKQGr584cULGjBkj3t7eotfrb6um5GSR4GCRdu1EliwR+ZGrqKvK66+LPPSQ0lU0VFEhAohkZSldSctr9YFVUSESE2NpvXzxxZFmHaOyslISExPF3d1dpkyZIt9//32916uqquStt94Sd3d3efTRRxu0xm60bZvIiBEirq4i8fEiV640qyyysiVLRKZOVbqKhoqKLIGVZ38NLGnVY1iXLgFhYZZHzg4fBqZMuadZx3FyckJcXByysrJQXl6OAQMG1LvFoU2bNpg/fz6ys7Ph5+d306s32dnZeO65I5gwAejb1zJhXEICoKKFnakOtY5hVc/iocba7pSqAmvZsmVYsWIFcnNzrX6ugweBoUMtV8L37QP69LnzY/bs2RNpaWl499138eabb2LYsGE4dOhQzesBAQFYuXIlXG+Yd+TUqVOYNWsWQkJCUFLyH2RnA++/b3lWkNTsCvz9rypdRAP2/FC8qgLr8uXLePvttzFgwAB07twZUVFRWL16Nc6ePdui5/nPf4AHHgBmzQI+/bRln96oe0NpUFAQ7r//fsTFxdWsKVjXqVOnEBkZiX79+qGiogLZ2dlYvfpN9P/lRV5IJa5cWQBAfY8YVP+q2eFtWOq8Svj999/L6tWrJSoqSjp37iwApGfPnjJ37lzZuDFHLl5s3nFNJsuYkJubyAcftGzNN7Np0ybp1q2b9OzZU9LS0kREJD8/X2JiYkSn00l4eLgcOHDANsVQi3r88cdl0aJFSpfRwJ49Is7OSldhHaqcraFbt26YM2cO5syZAwD47rvvsH37dmzfvh1vvFGOvXst9wyOHWv5M3p0w/sFy8osz9l5e1seDi4psTwnu2OH5dadsDDb/CyTJ09GZmYmXnjhBUyaNAlTpkzBzp070atXL3z22WeYXHeyOdIUtd5NrtaxtRahdGLeLrNZJDtb5J13RKZPF/H1FXF0FBkyROSPfxTZvFnk+nWRTz8V6d5dxGgUOXNG5PnnFS5cRN5//31p3769rFu37rZunSB1CgsLk7ffflvpMhrYuVNk0iSlq7AOVY1hNYWDAxAUZHnedcMG4MoV4ORJIDYW+Okny5za1cu2qe3h4KKiInTt2hUzZ85UfBVpunNqvZt89Ghg82alq7AOVXYJb1fPnpY/s2dbun0iQGqq5eHg9HRg/HilK7TYsWMHxowZo3QZ1ELUGlj2THMtrFtxdKw/fbdaHg42mUzYuXMnA8uOqPEBY3uf2NHuAutGank4+PDhwzAajXjggQeULoVaSElJCS5duqR0GfXY+8SOdtElbIza5tzesWMHhg8fDg8PD6VLoRaSkJCAZ599FmfPnsWSJUsa3BCslOqxWzubzh1AK2hhqcWOHTswduxYpcugFhQdHY19+/YhPT0dvXv3xoYNG5QuCYB9T+zIwLKBiooKfP311xy/skMhISHYv38/YmNjMWvWLEydOhXnz5+3eR03zsytlrHbltZqAmvrVuBXv1Lm3AcOHICIYOTIkcoUQFbl5OSE+Ph45OTkoLS0FEFBQVi2bBnMZrPVz52bC8yYYXnMrK66Y7effw7s2WP1UmxD6RvBbOXcOZE2bUQOHbL9uV955RUZO3as7U9MNmc2myUpKUnuvvtuGTVqlBw7dswq5zl6VCQ8XMTJSSQqSiQ39+bvfeUVEZ1O5He/Eykutko5NtNqWlhdu1rux3rvPdufm/dftR51H37v2bNno/P/34m8PMvKZvfeC7i6Wqa0X7Om/locN3rpJcv0SZmZlhlAVq5skVKUoXRi2tLGjSJeXiIlJbY7p9FoFGdnZ9mzZ4/tTkqqkZqaKt26dZM+ffrItm3bmn2c8+ctE03qdJaW1f79t38Ms1lEr7fMYDtpkuWRNa1pNS0sAJg61fJQ6Pr1tjvnN998A2dnZwwfPtx2JyXVCA8Px7fffovp06djwoQJmD17Nq5du9bkzxcVFeF///d/MWdONo4csTzBkZoKNOfXycEBiImxjHu5uwMDBwJLlzYcsFezVhVYTk6Wx3dWrbLdOXfs2IFRo0bByclub3mjW3B3d0dCQgK++uorHD58GAMHDqy3KG9jjEYjEhIS0LNnT6SkpOC55y5i/35gwoQ7r6djR8uXtl4PJCaa8OSTv6u31qaqKd3Es7VTpyyzO+Tk2OZ8I0aMkNdff902JyPVq7uaUnh4eIP5/41GoyQkJIiPj48EBwdLSkqKVWf2uHr1usyePVucnZ1lyZIlUlZWZrVztYRWF1giImPHivzhD9Y/T3FxsTg5OcnBgwetfzLSlJMnT8qYMWPEzc1NEhISxGAwSGJionTu3Fl69eolycnJYrLhem67d++WwMBACQgIkC1bttjsvLerVQbW2rUifn4it1h68LZUVFRIQUGB/PDDDzX7Nm3aJD4+Pjb9xSPtqKqqkrffflvc3d0lKChIfHx8ZOnSpWIwGBSppyXX0rQWBxERpbultlZWZrnMe7P7OI1Gy412RUWWJ9+Limr/FBcDHh7/QU7OChQVFaGoqAjFxcU1c7b36NEDZ86cAQAsWLAAp06dwsaNG23xY5FGnT17FufPn8egQYPg5eWldDk4efIk5s2bh8zMTCQkJCA6Olo187e1ysC6lQsXLJMEensDd91l+ePlVfv37t33wcHhAO666y54eXnhrrvuqven+pduyJAhmDNnDp577jkFfxqi22cymfDOO+8gLS0NmzZtgqOjOq7PMbCs5OrVq2jfvj2ysrIwcOBApcshsgvqiE0FWHuis6+//hr+/v4IDAxs2QMTtWKt9uagLVuAP/wBOH4cuHzZMn/Qm282fJ/R2HAsq6zsHC5eTEFRUREKCwtrxrLqbl+5cgVDhw6FiKim/0+kda02sIDGJzr7/e+BbdtqQ6qiovY1Z2fLGNb99zvg8uX/1IxZeXt7o1+/fvW2S0tLMX/+fLz00kt49dVXbf2jEdmlVh1YjS1S8cgjlquH1QPsdQfea5eg6wpg7y2P37t3b4wdOxY9evTA3LlzW7p8olanVQcWYJno7M03AX9/y3ZLPPpQbeTIkVi5ciWio6PRt29fhNlq9VYiO9XqA8vai1TMnj0bWVlZiIyMREZGBrp27Wq9kxHZOd7WYANmsxnTpk3D+fPnsXv3btUtDUWkFa32tgZbcnR0xAcffICqqirMnj0b/I4gah4Glo14enoiJSUFu3btwp///GelyyHSpFY/hmVLAQEB2LBhAx5++GH0798fM2bMULokIk1hC8vGHnjgAaxYsQJPP/00Dh48qHQ5RJrCQXeFPPvss0hNTcWBAwfQvn17pcsh0gQGlkKqqqowceJElJaWYvv27XB2dla6JCLVY5dQIU5OTli/fj2uXLmCmJgYpcsh0gQGloK8vb2RmpqKlJQUvP3220qXQ6R67BKqQFpaGqZOnYoNGzYgPDxc6XKIVIstLBUYP348EhIS8OSTT+LYsWNKl0OkWmxhqci8efOQnp6OAwcOwNfXV+lyiFSHLSwVWbZsGTw9PbFhwwalSyFSJQaWiri4uECn0+HSpUtKl0KkSuwSqkhWVhZCQkJw6tQp9OjRQ+lyiFSHLSwVWbt2LR544AGGFdFNMLBUoqqqCmvXrsVTTz2ldClEqsXAUon09HQYDAZERkYqXQqRajGwVCIpKQnTp0/nbKREv4DzYalAYWEhPv/8c2zatEnpUohUjS0sFUhOTkbHjh0xZswYpUshUjUGlgokJSVh5syZXCGa6BZ4H5bCcnNzERgYiBMnTqB3795Kl0OkamxhKWzdunUYOXIkw4qoCRhYCjKZTEhKSuK9V0RNxMBS0M6dO3Ht2jWunkPURAwsBSUlJeHRRx9Fu3btlC6FSBN4H5ZCrl+/jo0bN2Ljxo1Kl0KkGWxhKWTDhg3w8fHBuHHjlC6FSDMYWAqpvvfK0ZH/CYiaivdhKeD06dPo06cPjh8/jr59+ypdDpFm8OtdAevWrcOwYcMYVkS3iYFlYyKC999/n/deETUDA8vGSktL4evry1lFiZqBgWVjbm5uePjhhzFr1izk5eUpXQ6RpnDQXQEigieeeALZ2dnYu3cvvLy8lC6JSBMYWAopKSnBqFGj0KlTJ3zxxRdo06aN0iURqR67hArx8PBASkoKDh8+jBdffFHpcog0gY/mKKh79+7YuHEjHnroIQQFBWHmzJlKl0SkamxhKWzUqFHQ6/WYO3cu9u/fr3Q5RKrGMSyVmD9/Pj788ENkZGSgS5cuSpdDpEoMLJUwm82YNm0aLly4gF27dsHNzU3pkohUh11ClXB0dMQHH3yA8vJyPPXUU+D3CFFDDCwV8fT0RGpqKnbu3InXXntN6XKIVIdXCVUmICAAGzZswPjx49GnTx9EREQoXRKRarCFpUJhYWF466238Jvf/AZZWVlKl0OkGhx0V7FnnnkGmzdvxoEDB+Dv7690OUSKY2CpWFVVFSZOnIjy8nJs27YNbdu2VbokIkWxS6hiTk5OSE5OxuXLl/Hb3/5W6XKIFMfAUjkfHx+kpKTg008/xfLly5Uuh0hRDCwN6N+/P1avXs0BeGr1OIZFRJrBFhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGf8fULoFlnBBlDsAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
        "      <td> 1.6109</td>\n",
        "      <td> 474.587</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1351311</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "      <td>                                                                                                             <img 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+Y/JNm9vb0pISDDrceuUmWmcw6r6bxYTQ7RmjZgsTwAurMeUmppKvr6+FBQURFqt1mT7mDFjyNbWlsaOHUvbt2+36GRzZibRoEFE3boRnT7dPPssLi4mjUZDgYGB5ODgQFFRUZSSklLv95SVlVF0dDQ5OjrS6louWGRlZdGQIUOoQ4cOdPjw4eYJ+hju3btHtra2j8xvVps3E40YQTRmDNFf/kIk4GLEk4ILqwEKCgooLCyM3NzcaM+ePURENGDAAHrjjTcoPT1dWK6KCuMvbgcHomXLGr+f8+fPU1RUFLVq1Yq8vb1JrVbT9evXG7SPDRs2UIsWLWjq1KlUXFz8UM4KWrRoEalUKlKr1WSwwOXRK1euEAC6deuW2Y9FRERHjtwfTbFmx4XVQJWVlfThhx+SSqWitWvXEgC6cuWK6FhERLR+PdHIkb/TW2+9RSVVl9EfoaKiguLj4ykkJIRsbGwoJCSEtm/fTpWVlY3OcfHiRXr66aepT58+dPny5Rqvb9++nVxdXWnChAl0x0znspWVlbRjxw4aMWIEderUiXbt2mWW45g4d47Iyck4omJmwYXVSMnJyZScnEy2trZUXl4uOk613377jZ555pk655Oq3LhxgxYtWkSenp7k6upKMTExdOnSpWbLUVRURJGRkeTi4kLx8fE1Xs/IyKCBAwdS165d6XRzncsSUV5eHn366afUuXNncnJyounTp9MHH3xAKpWK5s+fb77T9fx8oq5did55xzz7Z0TEhdUkmzdvJm9vb9ExaigtLaXp06eTo6NjjQnoqkl0lUpFvXr1Io1GQ4WFhWbLEhsbS46OjhQVFVXjgkXVvJeDgwMta8K5rMFgqP657Ozsar04UDUH2a9fP/OcvoeHGyfXH/zlVVlJ9J//GM/ZWbPgwmqCzz77jIYPHy46Rp1iY2PJycmJIiMjac2aNTRo0CCysbGh0NBQ2rVrV5NO+xri1KlT1KVLlxoXLKps2bKFWrVqRVOnTqW7d+8+9n6Liopo2bJl5OfnV12K9U2u37p1i0JDQ6lt27a0e/fuxvwotfvqKyI3N+MVkActXkzk7k5k5iuj1oQLqwneeecdev3110XHqNfRo0fJ19eXPD09Sa1W07Vr14TkqO2CxYPOnDlDAQEBdOzYsUfu69y5cxQVFUUuLi7UqVMnUqvVdOPGjcfKYTAYSK1Wk1KppOjoaKpo4uinuPg03fnnaKIft5q+sHUrkUpFdPRok/bPTHFhNUFoaCgtXrxYdAwTx44do7S0NJNtQUFB9OWXXwpKdJ/BYKBly5aRvb09xcTE1JhPqm/EV3VxYMiQIaRQKGjcuHGUlJTU6FHi/v37ycPDg0aMGNHoEq+oyKUzZ7woK+uvpi/8/juRqyvRp582ar+sblxYTeDv70+xsbGiY5gIDw+nuXPnmmxzc3OjnTt3CkpU04kTJ8jHx4eCg4MfWRYPXhxo27YtxcTE1HrlsTHS09NpxIhBlJo6nO7ebeiH2Svp8uVQunRpNBE9UJrl5UQDBxKFhhrnsFiz4o/mNBIRSXJhzoc/hlJUVIS8vDxJ5QwKCkJKSgrs7e3Ru3dv7Nu3r8Z7fvrpJ0yePBleXl5ISkrCsmXLkJ2dDbVaja5duzZLjs6dOyM5ORlubj1x6dJw5Ob++7G/NyfnE5SUnEbnzt/hwU+4ZV2PQdE4D+PTF234r1ezE92YcpWTk0MA6OrVq6KjmHBzczO55+jMmTOkUCge+74sS6qaT1KpVLRo0SIqKioijUZDffv2JScnp8e6w7653LmzjU6fdqXLl8eTXn+n3veWlKRRaqqK8vNNJ+5v3dpAp045UknJr2ZMat24sBrp6NGjZG9vb7ErbY+jsLCQANCFCxeqt23bto3atWsnMNWjVd1I6u3tTZ6enrR48WLKzs62eI5793R08WJ/Onu2K5WUpNXzTgMVFu432VJaeoFOnWpJN2+uMGtGa8erSjaSTqeDt7c3bCQ07NfpdFAoFCaPUpHiM9cfNn78eFy8eBG5ubno0aMH7OzshORQqXzQvfvPyM6Owf/+70B4eX0FN7fptbxTAWfn4OqvDIYSpKdPRuvWk/DUUzMtltcacWE1khSLQKvVol27dnCselgcBD+8rgHatWtn8tA9UWxsHODl9QVatAhCRsbbuHv3ILy9VwEAtNpXYTCUwmAogZfX53ByCgQA5OaugsFQCm/v5SKjWwUurEaSYmHl5bXD6NFvmWzTarUICAgQlEi+2rR5DQ4OAcjOng+icty5sxnOziPh7h4NwACDobT6ve7u0XB1fRm2tq3EBbYS0jmfkRkpFtaZMwNA9A+TbSUly9CjxwxBieTNyakPunVLhK1ta9jY2OPu3SOoqLgGwAY2Ni2q36dQKKFS+YgLakW4sBpJioWl1QIPRzp+vBM6dPAWE+gJ4ur6ChwcuuPSpRG4dGkIysuvio5klbiwGqGyshJXr16VfGHdugUUFdUsMdZwCoUdPD3/iaefvow2bSJx8+bnoiNZJS6sRsjKykJFRYXkCkunMy0nrRawtQW8vIRFemKUl2eByPhMeju7jgBkutSRzPGkeyNotVo4OzvDzc1NdJRqeXk1R1NarXGhVkF3CTxRSkt/hVYbCRsbRxDp0anTOhDdw61b38HN7Q1wgVkGF1YjCF02qg46nbGYHhxN1TanxR7NYCjDlStj4en5EVq2HAIAaNXqBbRq9YLJ+0pLzyE7ez7y87eiU6dYKJVtRMS1KnxK2AhSnHB3dQU++ghQPvArSKcDfH2FRZKtjIw3UVFxE05Ovet9n6Pj0wgIOA+iCpw/74+iopqfiRTBEsupicKF1Qi1jbASEhJw5swZMYEAdOkCzJtnuo1HWA2Xl/cfFBTsRJcuW0xuXTAYymp9v1Lphm7d9qBduz/j8uVQXLu2GIDBMmEfUFFRgfXr16Nfv34ICgrC5MmTUVhYaPEc5saF1Qi1jbCOHz+OgQMHYu3atYJS1eToCPTsKTqFfJSUpOLq1Wj4+HwNB4ce1duLi4/j3Dlf6PW36vhOBTw8YtCly2bk5n6FK1cicfeuZUrr9u3b+Oyzz+Dn54dZs2ahb9+++OSTT3Dt2jU8/fTTOH78uEVyWIzoDzPKTUlJCbm7u5NGo6nxWtWHeF988UWzrQbDzKSggHQ/BZNO96bJ5vLya/Trr+3o2rV/PtZu7t3T0b/+dbhZ14mszYPP5h88eDDFx8ebPMO+oqKCYmJimvy8fKnhwmqAlJQU8vf3py5dulCbNm1o+/btNd5TtQpy9+7d6ddf+TEjshEWRobhQ6iy8v5jeAyGCrp0KZh+++15MnlI3yNUVBAtWmR8QrJaTdRcyy+WlRHFxx+igQMHkp2dHU2ePJn2799f7/ds27at+peouVcitwQurMdw7949io6OJqVSSTExMVRaWlq9wMOjVoOpbSRmTseOEdnbE1WtfzpnDtHJkxaNID9LlhgXkcjIMNmclfVXOnPGhyoqGrcI644dRG3aEE2aRNSUAXdGBtH8+cb1LJ577hp99NFHlNOAhS10Oh0FBQU9Eb9EubAeIS0tjXr16kVdu3alow8tKFC1GkxgYGCtS0c9uApyQ1aDaYpjx4j8/Yn+/nfj11xYj5CURKRUEj200GrloZ/o4k9eVFiY3KTdZ2YSDRpEDT5FrKggio8nCgkhsrMzriKWlNT40VppaWn1L9Gvv/66cTuRAC6sOlRWVpJarSZHR0eKjo6usex6larVYNq2bVvr6sIXL16kgIAA8vf3p3Pnzpk7Nh07RvTnPxMNHWpcMZ0Lqx7Z2UTt2hEtWGC6/epVoqeeIsOS/9cshykpIZo+nWjWLOPX9Y2Cb940nk526GAc9C1aRJSV1SwxiIho/fr11b9E6/ozLWVcWLXIzMyk0aNHU4cOHSgxMfGR769aDUalUlF0dHSNlaCLioooIiKCWrZsSRs3bjRXbCIy/mWYO5doxQrjGp5cWPW4cIFo2jTThU5LSoiefZbopZeab/Lp/1Q9nLauUfC//03UsiXR008b//8rKmrWw1e7cOEC9ezZk/z9/en8+fPmOYiZSKqw5s+fT0uXLhX6nPSEBKLhww/SxImTGjRPQER08OBB8vT0pOHDh9f6iF+NRkMqlYqmTp1qtmesVxVWcTHR8OFcWA02cyZRly5Nm3R6hLpGwSkpRI+YQ282hYWF9Morr5CzszNt2rTJMgdtBpK6D8vDwwMbNmyAj48PRo0ahbVr16KgoMAix87NBcLCgBkzgNmzh+HHH7fCw8OjQfsYNmwY0tLS4ODggN69eyMpKcnk9aioKBw9ehSHDx/G0KFD8fvvvzdL9vx8YPdu021OTsCQIcBDEVh91q8HYmOBLVuA1q3NeiiFAoiMBL799v62wEAgONish63m7OyMTZs24bPPPsO0adMwY8YMlJeXW+bgTSG6MWuj0+lIrVZT9+7dydbWlkJCQig2NpaKzDRG3rrVeAVm7NjmWVVcr9fTokWLyM7OjhYtWlRjoYq8vDwKDQ0lFxcXSkhIaPRxTp4k+uMfiZyciAIDjUviVY2wiIxTNHZ2PMIysXUrUXAw0ZgxRPPmma4deOgQkQXWmZTaKPjkyZPUqVOnOi8eSYkkC6tKZWUlHThwgN566y1ydXWlNm3aUEzMUjpwoHnWqLx923j1xcmJSKNp9ikL+umnn8jd3Z1Gjx5N16tmWP+PXq+nhQsXklKppL/97W9keMyD375tvLenRw9j7qgo46kEewxXrxINHmycpyIiev99onXrLB7jwV8q8+cT9ewp/pdKXl4ePf/883VePJIKSRfWg8rKymjLli00Z85ucnAg6tiR6C9/IUpNbdz+kpOJfHyI+vY1zr2aS2ZmJg0aNIg6duxIR44cqfH67t27ad68eY/cz+nTxnJydibq3Jlo2TKzTrM8mZYvJ1q58v7XV68ah9UWJtVRcNU6kUqlstaLR1Igm8J6UGkp0fbtxtGRSkXk5UUUHW0c0T+orsvHJ04Y/5D86U/GfZlb1cck7OzsSK1WP/ZoSq/X05YtW+iPf/yGFAqiESOM9+ZI8M+RPCxYQLRt2/2v9XqiPn3E5ZGo/fv3k4eHR50Xj0SSZWE96Pp1oi+/NN6cp1AQBQUR/c//3J/Pqe3yscHQ+JFZU2zZsoVatWpFEydOrPezhjdu3KCPP/6YvLy8qGXLljRrVjSdOdPM56vWaPlyolWr7n8taIQlB1qtlvr160c9evSgigdv+xBM9oX1oPR0oo8/Nn4UgkiaN1FeunSJevXqRd26daO0tPurCxsMBkpKSqJx48aRjY0N9e7dm2JjY00+0MqaKDPTOIdV9d80JoZozRqxmSSsrKyMWrduTUlJSaKjVHuinjjauTPw17+abqvt8rFI3bt3x4kTJzB79mwMHDgQf//732FjY4O1a9ciMzMT06ZNw4kTJxAYGCg66pPHywuYOxd4/nlApQKefRZ4/XWLxyACgoKMd1FI+fE/ZWVlyM/PR8eOHUVHqfZEFVZdXn8dGDsW6NNHdBIjBwcHrF69Gr169YJarUZlZSWmT5+Ot99+G97evCSXWb30kvEfgXJygNRUwMVFaIxH0ul0UCgUknocuFUUVtVNlNu2Aa+9JjrNfQMGDMDt27eh0+nQvn170XGYhWi1gL094OkpOkn9dDodPDw84ODgIDpKNUnd6W5Os2cDly+LTmEqLi4Of/jDH7isrIxWC3h7AzYS/9snxbULnugR1sCBxn8A428zKX3yQK/XY9OmTfj8c16Q09rI5Vn7UiwsiXf8kys5ORklJSWYNGmS6CjMwriwGo8LS5C4uDhMmDABTk5OoqMwC3t4hW6p4sIS7JNPgAULRKcASktLsWXLFkyZMkV0FCYAj7Aaz6oKq3174LvvRKcAdu3aBZVKheeee050FGZhen0lbGyuoFMnaS92mpubi+LiYi4skV54AcjKAs6dE5sjLi4OYWFhsLOzExuEWdzVq5lIT+8GX987oqPUS6fTwc7OTlI3jQJWVlhPPQX07w/s3CkuQ35+Pnbt2sWng1ZKq9XC2dkZbm5uoqPUS6vVomPHjlAqpXUjgVUVFgCMGwfs2CHu+Fu2bEH79u0xbNgwcSGYMFqtVlJ3jtdFivNXgBUW1vjxwPHjwM2bYo4fFxeHyZMnQ6FQiAnAhJJqETxMqjmtrrB69TLeZZyYaPljZ2dnIzk5mU8HrZhUi+BhUh0JWl1hAcbJdxHzWAkJCfD390fv3r0tf3AmCXIpLJ1OJ8mcVllY48YB//2v5T+qExcXh4iICMselEmKTqeDr6+v6Bj1MhgMyMjI4MKSipEjjc8kOnjQcsf87bffcPLkSURGRlruoExSSktLcf36dUkWwYNycnJw7949Sea0ysKytwf27QMGD7bcMTdt2oQBAwZI/rcrM5+KigoMHjwYu3btAhGJjlMnrVYLR0fHBq/LaQnSusnCgoKC6n+9pMT0KaUKhenamkqlHs7OBwAA9vb21Z8JdHZ2hlKphK2tLXx8fKrfHxcXh5kzZzZTeiZHLi4u+PjjjzFlyhQcPHgQ69evR9u2bUXHqkGr1cLHx0eSV7KttrAe5e5d4Ouv739tMAAPLkLdpo0Bv/8+GYDxUbKlpaUm3+/p6Yns7GwAwKlTp3DlyhWev2IYMWIE0tLSEBkZiT59+uD777/HoEGDRMcyIeULA1ZbWMePG5cFz8gA2rUD3nvP+DTSfv2Mr7u7Aykp9e1BBeB2ja1FRUXQ6/WweeDpbHFxcRg1ahTc3d2b8SdgcuXu7o7ExER89NFHCA4Oxj/+8Q/MmzdPMiMaKReWVc5hVfH1BVasaN59Ojs7w9XVFa1atQIAVFZWYuPGjXzvFTOhVCqxePFi/PDDD1iyZAlefPFF5Ofni44FQLq3NABWXlhjxwLJyUBZmfmOcejQIdy5cwcvCV74gEnT+PHjkZaWhpycHPTv3x+//vqrsCz37t3D+vXrkZubC39/f2E56mO1p4RA7UuAnT9/f+Wnli0BOzvA1vb+CidV21q3LoBC8Un197Vq1ar6NNDR0bH6wf2bN29GaGgoXKS+RAoTxtvbGwcPHsS8efMwcOBAqNVqzJkzx2LHz8jIwKpVq7BmzRoYDAa89957eOGFFyx2/Iaw6sICai4B5uYGREUZ//3uXaCiAtDrgaIi020GQwUyMtKr91NQUACDwQAAKCkpwb179wAYb8KrrJT2s4+YePb29vjiiy8QFBSEt99+G6mpqVi5ciVatGhhluPp9Xps3boVX3zxBY4ePYrRo0fj3//+NyZOnAiVSmWWYzYL0Su5inLsGNHcucZ/nz+fqGdP86wKnZ2dTW3atKGVK1c2/87ZE+nixYsUEBBAfn5+dO7cuWbd982bN2nRokXk6elJLVu2pOjoaLp48WKzHsOcuLCIKDubyM7OfMvYb9y4kZycnOjSpUvmOQB74hQVFVFERAS1bNmS4uLimry/pKQkCg8PJ5VKRQEBAaTRaKigoKAZklqW1RaWpUVERFBgYCCVl5eLjsJkRKPRkEqloqioKCorK2vQ9xYXF5NGo6G+ffuSUqmk8PBwOnTokJmSWoaCSMKfEXiC5Ofn45lnnkFUVBQWLlwoOg6TkdTUVISHh8PV1RUJCQmP/HhXeno6vvjiC8TGxkKlUmHWrFmIioqCp9SXmn4cohvTmuzdu5fs7OzoxIkToqMwmcnLy6OxY8eSi4sL/fDDDzVe1+v1FB8fTyEhIWRjY0MhISEUHx9P9+7dE5DWfLiwLGzmzJnk7+9PJSUloqMwmTEYDKRWq0mpVFJ0dDSVl5dTbm4uqdVq6tKlCzk5OVFUVBSlpqaKjmo2fEpoYSUlJejTpw9CQ0N5mXrWKLt27cK0adPg5+eHs2fPwsXFBTNmzMBbb70lyScsNCcuLAGOHTuGESNGIDExEaNGjRIdh8lQRkYG9u/fD2dnZ0ycOFFyq9uYCxeWIAsWLEBsbCzOnj0LV1dX0XEYkwUuLEH0ej0GDx6MHj16YMOGDaLjMCYLVv3hZ5GUSiViY2OxefNmxMfHi47DmCxwYQnk7++Pf/7zn5g1axZycnJEx2FM8viUUDCDwYDRo0dDpVIhMTFRMg9xY0yKeIQlmI2NDdatW4fjx49Do9GIjsOYpPEISyLWrl2Ld999F6dPn0b37t1Fx2FMkriwJCQsLAzXrl3DoUOHYGtrKzoOY5LDp4QSsnLlSqSnp0OtVouOwpgk8QhLYrZv346wsDAcOXIEQY9aPJExK8OFJUERERHIz89HYmKi6CiMSQqfEkpQr169kJeXJzoGY5LDhSUxpaWl+Oqrr/Duu++KjsKY5HBhScw333wDBwcHREZGio7CmORwYUmIXq/H0qVLMXfuXNjZ2YmOw5jkcGFJyPfff4/i4mK8+eaboqMwJklcWBJhMBjw8ccfIzo6Gk5OTqLjMCZJXFgSsXPnTly7dg2zZ88WHYUxyeL7sCRiwIABCA4OxpIlS0RHYUyyrONB0BJ34MABnD17Ftu3bxcdhTFJ4xGWBDz33HPw9fXFypUrRUdhTNK4sARLSUnBoEGD8Ntvv6Fz586i4zAmaVxYgoWFhUGlUmHjxo2iozAmeTyHJdD58+fx448/4tSpU6KjMCYLPMIS6I033kBubi527twpOgpjssAjLEEyMjLw3Xff4eDBg6KjMCYbPMISZM6cOTh9+jQXFmMNwCMsAW7evInVq1fjhx9+EB2FMVnhj+YI8OWXX8LPzw9jx44VHYUxWeERloUVFBRg+fLlvAYhY43AIywLW7VqFdzd3REWFiY6CmOyw4VlQaWlpfj888/x/vvv87qDjDUCF5YFpaenw8XFBa+++qroKIzJEheWBbm7u6OwsBArVqwQHYUxWeL7sCwsKSkJ48aNw+HDh3mhVMYaiAtLgHfeeQf79+9HamoqHB0dRcdhTDb4lFCApUuXwmAwYOHChaKjMCYrPMISJDU1FUOGDMGePXswcuRI0XEYkwUeYQkSGBiIefPmYdq0abhz547oOIzJAo+wBNLr9RgyZAj8/PwQGxsrOg5jkscjLIGUSiViY2ORkJCAhIQE0XEYkzwuLMH8/PygVqsxa9YsXL9+XXQcxiSNTwklgIgQGhoKIsKePXugUChER2JMkniEJQEKhQKrV6/GyZMnsXr1atFxGJMsHmFJyHfffYcZM2bg9OnT6Natm+g4jEkOF5bEREREIDMzE4cOHeInOjD2ED4llJhVq1YhKysLn376qegojEkOj7AkqOoD0keOHEG/fv1Ex2FMMriwJGrWrFn4+eefkZKSwh+QZuz/8CmhRH322WfQ6/X429/+JjoKY5LBIywJ4w9IM2aKR1gSxh+QZswUL/MlcQsWLEB5ebnoGIxJAp8SMsZkg08JGWOywYXFGJMNLizGmGxwYTHGZIMLizEmG1xYjDHZ4MJijMkGFxZjTDa4sBhjssGFxRiTDS4sxphscGExxmSDC4sxJhtcWIwx2eDCYozJBhcWY0w2uLAYY7LBhcUYkw0uLMaYbHBhMcZkgwuLMSYbXFiMMdngwmKMyQYXFmNMNriwGGOywYXFGJMNLizGmGxwYTHGZIMLizEmG1xYjDHZ4MJijMkGFxZjTDa4sBhjssGFxRiTDS4sxphscGExxmSDC4sxJhtcWIwx2eDCYozJBhcWY0w2uLAYY7LBhcUYkw0uLMaYbHBhMcZkgwuLMSYbXFiMMdngwmKMycb/B/hUc5n+nCphAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
        "      <td> 2.8494</td>\n",
        "      <td> 459.572</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 1351310</td>\n",
        "      <td>     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "      <td> <img 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\" alt=\"Mol\"/></td>\n",
        "      <td> 3.2395</td>\n",
        "      <td> 473.599</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>   80636</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.866667</td>\n",
        "      <td>                                                                         <img 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\" alt=\"Mol\"/></td>\n",
        "      <td> 1.2687</td>\n",
        "      <td> 460.560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>   80694</td>\n",
        "      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.838710</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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\" alt=\"Mol\"/></td>\n",
        "      <td> 0.9734</td>\n",
        "      <td> 504.613</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 47,
       "text": [
        "   molregno                                                          smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    mol    logp       mw\n",
        "0    410802    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  <img 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\" alt=\"Mol\"/>  1.6109  474.587\n",
        "1   1351311       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356                                                                                                              <img 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\" 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\" alt=\"Mol\"/>  3.2395  473.599\n",
        "3     80636       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O    0.866667                                                                          <img 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\" alt=\"Mol\"/>  1.2687  460.560\n",
        "4     80694  CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O    0.838710                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         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\" alt=\"Mol\"/>  0.9734  504.613"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.sort(columns=['similarity']).head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>molregno</th>\n",
        "      <th>smiles</th>\n",
        "      <th>similarity</th>\n",
        "      <th>mol</th>\n",
        "      <th>logp</th>\n",
        "      <th>mw</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>193</th>\n",
        "      <td>  453288</td>\n",
        "      <td> CCCc1c2nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)cnc3OCCOC)[nH]c(=O)c2nn1C</td>\n",
        "      <td> 0.5</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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\" alt=\"Mol\"/></td>\n",
        "      <td> 1.0225</td>\n",
        "      <td> 519.628</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>184</th>\n",
        "      <td> 1334770</td>\n",
        "      <td>                      CCCc1nn(C)c2c1nc(-c1ccc(=O)[nH]n1)[nH]c2=O</td>\n",
        "      <td> 0.5</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               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\" alt=\"Mol\"/></td>\n",
        "      <td> 0.3594</td>\n",
        "      <td> 286.295</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>185</th>\n",
        "      <td>  511950</td>\n",
        "      <td>  CCCCN1C(=O)C2=C(N=C(c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)NC2)C1=O</td>\n",
        "      <td> 0.5</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               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\" alt=\"Mol\"/></td>\n",
        "      <td> 0.7942</td>\n",
        "      <td> 489.598</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>186</th>\n",
        "      <td> 1353821</td>\n",
        "      <td>                         CCCc1nn(C)c2c1nc(-c1cccc(Br)c1)[nH]c2=O</td>\n",
        "      <td> 0.5</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               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fqLX6+X06dNWSnpNXW2NbE95VlZM6yH7P3xD6uvrrZ6hPdhlYbXVuHEic+aI2NJ/y+7du8t//vOfRtsHDx4sKSkpGiRq2o8//ihDhw4VnU4nX3zxhdl9DAaDODk5SXV1tZXT3bpNmzaJn5+fzJgxQy5evNji5xmNRsnIyJCRI0eKm5ubxMbGyr59+zow6TXnCk7J2oUPSNLsaMnLybLKe3YUuz8kbI1164CtW02XnbEVKq3F2rBhAwYPHoyQkBAYDAb86le/MrtfRUUFAgIC8Morr6CqqsrKKdumoqICCQkJmDNnDtasWYONGzfC19e3xc93dnbGlClTsHfvXuzbtw8eHh4YPXo0hgwZgvXr1zeap2wv2zI+xNt/+S08ffwxZ/VW6PoM7pD3sRqtG9PajEaRSZNEMjLMP37woIi3t8jq1dbNZcn06dNl8eLFjbbPnz9fZs+erUGixi5fvizx8fHi6ekpKSkpTR5uvPnmm9K5c2cZP368BAYGSlBQkDz33HNSVFRkxcStYzAYpG/fvnLvvffKDz/80OS+69evl/PNzT384tSpU7JkyRLp0qWLREREyMqVK1v83OZUVlbKvHnzxM3NTd5/Z62yh4A3c7jCEhF54w0Rd3eRHTvMP/7ZZyKdOom8/bZ1c5mzYMECmTVrVqPta9eulQULFlg/0E2+++649OvXT3r16tXkfE5paalMnTpVunTpIunp6SJimutKS0uT6Ohoqx8mtUR9fb0kJSWJp6en6PV6uXLlSpP7nzt3Tnr27Ck+Pj6yYMECOXnyZIve59KlS5KUlCQ9e/YUX19f0ev18tNPP7U599dffy09e/aUAQMGyHfffdfm17FFDllYIiLLlon4+oocPmz+8XffNZXW9u1WjdXIqlWrZNy4cdqGsOC110TCwoplzpwnm5zP2bVrl3Tv3l1Gjhxp8YO4Z88eiY2NFRcXFxk5cqSkpaVJXV1dR0Vv1rlz52TatGnStWtX+eCDD1r8vPr6etmxY4fExMSIs7OzjB8/XjIyMlo0wrl+nsvZ2VliYmJk7969LX5vo9EoiYmJ4ubmJnq9XiorK1v8XFU4bGGJiDz9tEhoqMipU+YfX7VKxMtL5OuvrRrrBu+++67ceeed2gUwo7BQZMIEkYAAkffft7xfXV2dJCYmiru7u9lvC805efKk6PV66dy5s0REREhSUpKUl5e3Y/rmNRTs2LFj5cyZM21+HYPBIHPnzhVPT0+55557JCUlpdlRWoNDhw5JfHy8uLq6SmRkpKSmpjb591dQUCDjx4+XgIAAeb+p/yiKc+jCMhpFpk8XueMOEUtTKE88IdKtm8ipU5esG+4XO3fuFC8vL03e25xPPhEJDhYZPVrk558t75eXlydjx45t8tvCply8eFGSkpKkR48eVw+TOno5QE1NjSxZskQ8PDwkKSmp3eZ9zp49K4mJiRIYGCjBwcGSmJgopaWlLXru9fNcPXv2lJUrV0pZWdkN+3z00Udy2223yejRo+Xnpv6j2AGHLiwRkStXTB++qCgRc7/I6+pEFi7cKb1795bi4mKr5aqrq5O0tDSJioqSHj16yIgRI1p8aNERampE9HoRV1eRxMSm16tlZGRIYGCgTJkyRUpKSm7pfRsOk0aMGNGh81y5ubkybNiwFq2taquqqipJTU2Vfv36iYeHh8THx8v333/fouc2zHOFh4eLj4+PzJ07V7799tsm17vZI4cvLBGRCxdMC00nTzb/QaypqZEHHnhABgwY0G7f4lhSVVUlb731lgwYMEC8vb3l6aeflk8++eTqocXQoUNl48aNUlNT06E5rpebKxIdLRIWJrJzp+X9ampE/vu/l0unTp1k5cqVYjQa2zXH9YdJ7TnPtXnzZvHz85O4uDi5cOFCOyRt2vXzXC4uLhITEyM7LH0DdJPq6mp5++235Z577pGAgAAJDAyUjz/+uIMT2w4W1i/y80XCw0Ueftj8wtGKigoZPny4jBs3Tqqqqtr9/U+fPi16vV78/PykT58+kpKSIpcvX75hn+t/ywYFBcmSJUskLy+v3bNcb98+0yHgAw+InD1reb+TJ02lNnXqBx02QmmQm5t79TCpV69ebZ7nqqiokPj4eOncubOkpqZ2QNLmZWdnX/1lNGjQIElNTW3xL6Px48fLn//85w5OaFtYWNcxGET8/ET+8Q/zQ+uSkhLp06ePTJs2rd2+wdq/f7/ExsaKu7u7jBw5UjIyMpodmVz/bZK7u7vEx8fLkSNH2iXPzQoLRV5+uenV/0lJIp6epkNGa34xZW45QEvnubKzs6Vv375yzz33NLu2yhqKiopk5cqVEhoaKt26dZPExEQ5d+5ck895/PHH5dFHH7VSQtvAwrrJl18apW/f38qbb75p9vHc3FwJCQmR+fPnt/k9GuanRo4cKa6urhIfHy+HDh1q02vdfJhkzXmusjKR3/5WpEsXETNnD1lNQ4GPHz9e3N3dJTY21uz5lw1as7bK2hrmufr37y/e3t4yd+5cOXbsmNl9V6xYIRMnTrRyQm2xsMzYunWruLu7X13geLMjR46Iv7+/vPDCC6163fLycklKSpJevXqJv7+/LFmyRHJzc9sjshw7dkzmz58vXl5eEht7WtavF+nIU/X27BHp0UNkxAiRW1jj2O6ysrIkPj5e3NzcGs1ztXVtlRaMRqNs2bJFRo8eLe7u7rJixYpG+/z73/+Wfv36aZBOOywsC9auXSudOnWSzz77zOzj27dvb7LUrnfmzJmr81M9evSQpKSkVp042xrnzpXJ3/9eL926mdaYvfCC6SoU7aWuzvQtobt7898WaunHH3+Up556Sry9vWXgwIGybNky6dWrl0RHR7d4BbqtOHjwoHz11VeNtn/66afi7++vQSLtsLCakJiYKL6+vmIwGMw+/uGHH0pBQYHF5x84cODq/NSwYcMkLS3Nat/uGY2m8yVHjDCVS2ysyK3OhZ85Y7qiRbduptOXVHD+/Hl58cUX5e6775aHH37Yqt+udrSjR48KgEZfztgzFlYznnrqKQkNDW3xuV319fVXJ8RdXFwkNjZW9uzZ08Epm3bokEh8vIiLi8jIkSJpaaaRUmts3mz6QuI3v7G8yNaWjRs3Tl588UWtY7SrCxcuCACLc1z2iJeXaUZSUhKGDx+OSZMmNXmDgcrKSiQnJ6N3796Ii4tDZGQkjh07hrS0NIwaNcqKiRuLjATWrweOHzf986OPAn36AMnJ165339yt0VJTTdfI37oVCAqy9r/BrbN0OZ6ysjKcOnVKg0S3zs/P7+rdwR0FC6sZLi4ueOedd9C1a1f85je/aXSZ2/z8fCxduhQ9e/bESy+9hDlz5uDnn39GcnIyevXqpVFq8yIiTCV14gQQFwesWAH07n2ttBpujWbuElXbtgHPPQe4uFgzcfuxVFjr1q3DY489pkGi9hEaGqrsXcDbgoXVAp6enti6dSuqqqoQFxeHuro6fPvtt0hISEBERAQ++ugjrF69Grm5uViyZAkCAwO1jtykkBDg+eeB06eBN94AOnc2bW/q1mjOiv+fotKFEFtD9fytZbc3Um1vfn5++OCDDzBy5EgMGzYMhw8fxogRI7B582ZMnToVzgp+or28gEmTbty2cCEwbBgwd64mkToM7/FoH9T7lGno9ttvx+OPP46Kigrs27cPe/bswUMPPaRkWVmi+q3RLAkLC0NhYWGjW27pdDpUVlbi/PnzGiW7NaoXbmvZzyfNSvLy8jBq1ChERUVpHaXDqHxrNEt0Oh3q6urM3nIMgLIfeo6wqEkHDhzA0KFDtY7Roby8gHnzTHNc9iIkJAQuLi6NPtyenp7o0qWLsh96FhZZVF5ejqNHj9rl6CowEDAYrv2s1wMigL+/Vonal6urK4KCguxuHkun0+Hs2bMddtcdW8PCaoVvvvkGHh4eGDBggNZRqA2a+qZQ1aUBOp0ORqMRRUVFWkexChZWK2RmZmLQoEFwUXUxkoOzNJJS+bAqJCQErq6uyuZvLRZWKxw8eBDR0dFax6A2sse1WM7OzggJCVF2hNhaLKxWyMzMtPsJd3tmj4UFqJ+/NVhYLVRUVISffvrJLifcHYWluSqVJ90BFhaZkZmZiaCgINx+++1aR6E2amqEVVpaiurqag1S3TrVC7c1WFgtdPDgQR4OKk6n0+Hy5cu4fNOKWJ1OBxFBQUGBRsluDUdY1Ajnr9RnaVV7165d4eHhoeyHnoVFNxARHDx4kPNXivPx8YGvr2+jD7eTkxNCQ0OV/dCrvI6stVhYLXDixAmcP3+eSxrsgKUPt8of+oYTuC80XG3RjrGwWiAzMxMREREICAjQOgrdIntc2hAWFgZA3RO4W4OF1QKZmZk8HLQTqheWuW8yG07gVnWE2BosrBbghLv9ULmwMjIyEBERgWPHjjV6TIX87YGF1YyamhoYDAaOsOyEilceraioQEJCAn73u99h8eLF6N27d6N9HKWweInkZhw5cgRGoxGDBw/WOgq1g6ZOgC4oKICIwMnJSYNk5hkMBsyYMQOurq7IyspCv379zO7nKIXFEVYzMjMz0b9/f3h6emodhdqBTqdDUVFRo+tH6XQ61NTUoKSkRKNkNxIRJCcnY/jw4Zg4cSIyMzMtltW+ffvw+eefa347OWtgYTWD66/si06nQ319PQoLC2/Y3q1bNzg5OdnEKOXcuXOYNm0ali1bhg0bNiA5OdnsL8za2losWLAAY8aMwSOPPIK4uDgN0loXC6sZjnBJZEcSFBQENze3RsXk7u6OrVu3Ijw8XKNkJp9++in69euHsrIyGAwGTJ8+3ex+ubm5GDVqFNLT0/Hxxx/jueeeg6ur/c/wsLCacOHCBeTk5HCEZUcarh9lbiQ1efJkzdbaNYyWJk+ejMcffxxffvklevToYXbfTZs2YdCgQQgMDER2djbuu+8+K6fVjv1X8i3IyspC586dcffdd2sdhdqRrX0jmJubi5kzZyIvLw87duzAuHHjzO5XUVGB+fPn47333sOqVaug1+tt6gsCa+AIqwmZmZmIjIzkJZHtTGhoKHbt2mUTl5PZvHkzBg8ejODgYBgMBotlZTAYMGTIEOzfvx9ff/01FixY4HBlBbCwmsQJd/v0z3/+EwcPHkR4eDiWL1/e6F6F1tCwtmr27NlYs2YNPvzwQwQGBjba7/pvC4cOHYqsrCxERkZaPa/NELJIp9NJWlqa1jGoAxiNRsnIyJDx48eLu7u7xMbGytdff22V987Ozpa+ffvKwIED5ejRoxb3Ky0tlalTp4q/vz//P/wFR1gW5OfnIz8/nyMsO+Xs7IwpU6Zgx44d2L9/Pzw8PDB27FgMGTIE69ev77D7/CUnJyM6OhoTJkzAgQMHLM6P7tq1C/feey+Ki4tx+PBhxMbGdkge5WjdmLbq/fffl+DgYK1jkBUVFhZKYmKiBAQEyO233y4rV66U8+fPt8trnzt3TqZNmyYBAQGyZcsWi/vV1NSIXq8XV1dXSUxMlNra2nZ5f3vBwjKjurpaHnnkEZkyZYrWUUgDly9flpSUFLnrrrvEx8dH9Hq9/PTTT21+vd27d0v37t1lzJgxcvr0aYv7nTx5UqKjo6Vbt26yY8eONr+fPWNh/eLKlSuSkZEhCQkJ0qVLF/H29pasrCytY5GGrp/ncnFxkZiYGNm7d2+rXqOsrEz8/Pxk8eLFUlNTY3G/TZs2iZ+fn0yaNEmKiopuNbrdcujCunDhgqSmpkpMTIx4eHiIr6+vxMfHS0ZGhlRWVmodj2zIN998I/Hx8eLm5iaRkZGSmpra4sO1wsJCi4+Vl5dLfHy8uLu7S1JSktTX17dXZLvkJCKi9TyaNRUXF2PTpk3Ytm0b9uzZAz8/P8TFxWHKlCkYPXo0OnXqpHVEsmFnz57F66+/jpdffhmdOnXC3Llzodfr27RCPjs7G3FxcTAajdi4cSOGDBnSAYntjNaNaQ1nz56VpKQkGTlypLi4uEhISIjo9XrZs2eP1NXVaR2PFHT9PJe3t7fMnTtXcnJyWvTc+vp6SUpKEg8PD3n44Yfl0qVLHZzWfthtYRUUFNxQUjqd7mpJGY1GreORnbh+nsvZ2VliYmKanDBvWFvl7e0tqampVkxqH+yqsPLy8q6WlLOzs9x5552SmJgohw4dYklRh8vKyro6zzVo0CBJTU29YaJ9165dEhYWJsOGDZNTp05pF1Rhys9hnThxAhs2bMC2bdtw+PBh9O7dG7///e8RGxtr8YJnRB3pxIkTSEpKwttvv43g4GA8+eSTyMvLwyuvvIK//vWvePbZZx3iUjAdQcnCOn78ODZu3Ij09HR8//33iIyMRExMDEuKbEp5eTk2btyIf/3rX/Dx8cFf//pXPPTQQ1rHUpoyhZWTk4PNmzcjPT0dP/zwA0aMGIHY2FhMmTIFERERWscjsshoNPKKH+3E5gtLRLBkyRKsXr0aAwYMwPTp0zF9+nSOpIgckM0X1vHjx9GnTx/eG5CIbP96WA23iWdZEZHNFxYvokdEDWy+sHgoSEQNbLqweJt4IrqeTRfWkSNHUFdXx9vEExEAGy+sAwcOoH///vDy8tI6ChHZAJsuLE64E9H1bLqwOOFORNez2cLibeKJ6GY2W1gNt4nnKThE1MBmC4u3iSeim9lsYXHCnYhuZrOFxQl3IrqZTRYWbxNPRObYZGFlZmYiODgY4eHhWkchIhtik4XF+SsiMscmC4vzV0Rkjs0VVn19PTIzMznCIqJGbK6wcnJyUF5ezhEWETVic4WVmZmJO+64AwEBAVpHISIbY3OFxQl3IrLE5gqLE+5EZIlNFdaVK1eQnZ3NERYRmWVThZWdnQ0nJycMGjRI6yhEZINsqrAyMzMxcOBAeHh4aB2FiGyQTRUWJ9yJqCk2VViccCeipthMYZ0/fx4//vgjR1hEZJHNFFZOTg78/f3Rp08fraMQkY1yEhHROkSD2tpauLm5aR2DiGyUTRUWEVFTbOaQkIioOSwsIlIGC4uIlMHCIiJlsLCISBksLCJSBguLiJTBwiIiZbCwiEgZLCwiUgYLi4iUwcIiImWwsIhIGSwsIlIGC4uIlMHCIiJlsLCISBksLCJSBguLiJTBwiIiZbCwiEgZLCwiUgYLi4iUwcIiImWwsIhIGSwsIlIGC4uIlMHCIiJlsLCISBksLCJSBguLiJTBwiIiZbCwiEgZLCwiUgYLi4iUwcIiImWwsIhIGSwsIlIGC4uIlMHCIiJlsLCISBksLCJSBguLiJTBwiIiZbCwiEgZLCwiUgYLi4iUwcIiImWwsIhIGSwsIlIGC4uIlMHCIiJlsLCISBksLCJSBguLiJTBwiIiZbCwiEgZLCwiUgYLi4iUwcIiImWwsIhIGSwsIlIGC4uIlMHCIiJlsLCISBksLCJSBguLiJTx/2tKT4asC4V9AAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
        "      <td> 3.0386</td>\n",
        "      <td> 347.216</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>187</th>\n",
        "      <td>  326382</td>\n",
        "      <td>  CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3cccc(CC)n32)c(O)n1</td>\n",
        "      <td> 0.5</td>\n",
        "      <td> <img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td> 2.5473</td>\n",
        "      <td> 496.593</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 48,
       "text": [
        "     molregno                                                           smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    mol    logp       mw\n",
        "193    453288  CCCc1c2nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)cnc3OCCOC)[nH]c(=O)c2nn1C         0.5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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\" 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        "184   1334770                       CCCc1nn(C)c2c1nc(-c1ccc(=O)[nH]n1)[nH]c2=O         0.5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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\" 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\" alt=\"Mol\"/>  0.7942  489.598\n",
        "186   1353821                          CCCc1nn(C)c2c1nc(-c1cccc(Br)c1)[nH]c2=O         0.5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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\" 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\" alt=\"Mol\"/>  2.5473  496.593"
       ]
      }
     ],
     "prompt_number": 48
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Simple plotting using the table columns"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[['mw', 'logp']].describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>mw</th>\n",
        "      <th>logp</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
        "      <td> 194.000000</td>\n",
        "      <td> 194.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
        "      <td> 486.932845</td>\n",
        "      <td>   2.290035</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
        "      <td>  91.490079</td>\n",
        "      <td>   0.970899</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
        "      <td> 268.320000</td>\n",
        "      <td>  -0.048300</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
        "      <td> 448.825000</td>\n",
        "      <td>   1.579575</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
        "      <td> 498.012000</td>\n",
        "      <td>   2.293320</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
        "      <td> 537.399000</td>\n",
        "      <td>   2.924625</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
        "      <td> 866.980000</td>\n",
        "      <td>   4.731700</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 49,
       "text": [
        "               mw        logp\n",
        "count  194.000000  194.000000\n",
        "mean   486.932845    2.290035\n",
        "std     91.490079    0.970899\n",
        "min    268.320000   -0.048300\n",
        "25%    448.825000    1.579575\n",
        "50%    498.012000    2.293320\n",
        "75%    537.399000    2.924625\n",
        "max    866.980000    4.731700"
       ]
      }
     ],
     "prompt_number": 49
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rcParams['figure.figsize'] = 12,12"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 50
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data['logp'].hist()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 51,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x7f883e6e4d50>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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7io4zJT3nMtM6dHrZptMLAACx9LJBr2l1ozoAU0Z1AHYb1QGY4N7Xm6UXAID2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\nRnUAzsjSCwBAe5ZeNhyqAzD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       "text": [
        "<matplotlib.figure.Figure at 0x7f884e9f0610>"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "scatter(data['mw'],data['logp'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 52,
       "text": [
        "<matplotlib.collections.PathCollection at 0x7f883e395950>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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sLMzreST/TZnyJtddN4FFix6ndOnrmDRphQqxiIgPysuhLzvZo8Z3Ansv2q6R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       "text": [
        "<matplotlib.figure.Figure at 0x7f884c08a3d0>"
       ]
      }
     ],
     "prompt_number": 52
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[data['mw']>800][['molregno','mol','mw','logp']]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>molregno</th>\n",
        "      <th>mol</th>\n",
        "      <th>mw</th>\n",
        "      <th>logp</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>62</th>\n",
        "      <td> 487046</td>\n",
        "      <td>                                                                                                                                                                                                                             <img 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OkCjEUZYBtOkibCtTESEcKklB4/a6ufgQUClEtbI+fkJl4Lu7oC7O4YAGHJfE6WlpUhKSsLYsWPRrl07zDfio1X16gGffCL+HvGsgskElqOjIzw9PdGzZ0+cPHkSDRs2lKwWIkJoaChq166NtWvXwsbGBv7+/pXu1nnzJpCSIuwNrlIJb//9b8XUUYcOwv+3+xfLR0UJ5+Ll5wtb9RrM+PHQvv8+dJ99BhtbWwN2JJJHbfWTmipca6WmAnl5wuc1a4a77dphWf36CAgIQEBAAJRKJerWrYv69eujuLgY69evh6WlcWc9Zswwanc1jkldEpaVlaF79+4oLS3FoUOHYGdnJ0kdy5cvx4oVK3D69Gl4eno+czs7dwqhFBQErFgBNGxoxEtCALrSUvj5+GD5qlUYOHCgYToxtpwc4SdEaiou5+Zi6rFjSEpK0l8KNmnSBEqlEiqVCgsWLMCkSZOkrpiJyGRGWABgY2ODmJgYtGnTBmFhYYiMjDR6Dfv27cMHH3yAX375pVphdb+gIGmWR1na2mLgiBFYv369+QRW48bC22uvoSmAn/9+uaSkRP9oTWpqKkJCQrBx40ZJAqu4GCgqEqbjtFrhh5aTk9HLME+SLVl9jFOnTpG7uwdFROQYtd+0tDRydnam5cuXG7VfQ0pJSSFLS0tKS0uTuhSjysrKIisrKzp//rzR+96xg8jTk6iwkCgjg2jWLKOXYLZMclnDSy+9hBUrUhEW9hyOHDFOn+Wrobt164b33nvPOJ0agUKhQEhICDZt2iR1KUbVpEkTdO7cGd9//70k/ZffbGHiMqlLwvsNHWqHlBSgXz/g5EmgWTPD9UVEGD16NIgIGzduNLtDRrt27YoffvgBOTk5+iUZ/v7+8Pb2hrW1yf4TqLapUzdg1iw3fPopYOx7DpXdbGHVZ1KT7g8jEramOndOePTBUPMAK1aswPLly3Hq1Cl4eXkZphMAR44It76NuSzq1q1bCA4ORkBAAJ577jn97gPXr1+HjY0NfH199dsBl28NrFQq4WLKu1NUkUYDNG0KrFwprEA3lsputqxYYbz+zZlJ/3i1sBAWa4eEADNnAhs3it9HbGws5s+fj7179xo0rABhSVRhIbBtm0G70SsrK8Mbb7wBT09P7Ny584HR1J07d/TbppSH2IEDB6BSqVBQUID69evrN7JTKpUIDAxEL5ltWWNtLTyK+N13xg2sclLdbDFnJj3CKpeZKfy09PUVt121Wo3g4GC8++67eP/998VtvBJHjwrbbV25Ijx1Ymj/93//h127duH06dNwcXHB1atXcefOHTRr1uyxS0aysrKQmpr6QKBlZWWhX79+WLRokeELF5FKJezFmJwsrDkV05EjwIYNwKZNwolqzAiknPF/WkVFRLduCe9rNER37jx7WwUFBdSyZUsaPHgw6Yy4h1RgINHKlYbvJzw8nGrVqkXnzp3Tv7Z8+XICQFZWVuTj40M9e/akGTNm0Nq1a+nQoUOUlZX1yPZ27txJjo6OdO/ePcMXL7J27cT/M09PJ3JxIVqwQPi4uJjo/feJ7t4Vtx/2IFmMsMpV9mxeVecGbt++jbt37+rf1qxZg7i4OJw4cQJORlwk8/nnwiVKUpLh+jh9+jReeeUVbNiwQX+EVbm7d+/qR03ljxqVvxUVFcHR0fGB7YCDg4PRq1cvaDQaeHp6YvHixRg/frzhijeAmzcBMQ9jLiwUdr7x9AR27BBGVyNHCk8UHT8un5Ph5Mik57AqU9mzeWvWCEP+u3eFtzt3hF8dHVORmNgGdx7aEqFWrVqoX78+vvjiCzg5OSE3NxcHDhzA8OHDDV7/yJHA3r0ncOqUA4KDg0Rv/8aNGxgwYAAmTZr0j7ACACcnJwQHByM4OPiB14kIly9ffmA74GPHjiE7Oxu9evWCtbU1xowZg40bN8ousMQ+OX7x4isoLGyCyEghrL78Eti7V7ibzWFlWLIbYeXnC7eLZ84ENm8WRlgffihsnObkVPFWrx7g7FyMOnX+gLOzM5ycnFCvXj04OTnBxsYGffr0gbu7O9atW4f4+HgEBQUhNTUVvmJPlFViyJAhqF27NsLDw0VtV6PRoHv37tDpdDh48KDoSxYyMjLQrFkzxMXFoXnz5qK2bWiVrT63sxMeRK9VS3gtL+/JZ9CuW7cOc+bMxcmTGVAqnXH4sHBg0e7d5reEQafT4bfffsNrr70mdSkVJL0gfUo7dhBt3kx04QLRqFHVW0G8Y8cOcnR0pLy8PCIievnll2nhwoXiFPoE+/fvJwcHB7p9+7ao7b777rvk7e1Nubm5orZ7v06dOtHMmTMN1r6hVLb6fMcOoogI4fezsoimTn18G4cPHyZbW1v93u1Xr/5Fvr5amj/fcHVLaf78+dS4cWP9/xFTIMt7G2LcLu7duzfq1q2LmJgYAMCECRMQHh4OrQH3fMnLywMAdOnSBY0aNUJUVJRobW/duhXffPMNfvzxR7iKfQ10n9DQUGzatAklJSUG68NQKlt9XtWtfrKysjBkyBDMmzcPvXv3RklJCQYO7If27Rfh448NV7NUoqKi8MUXX2Dv3r0G21b6mUidmFJ6//33KSQkhIgqTj65/zQUMRUWFtKLL75IX3/9NRERLVq0iJ5//nn666+/qt326dOnycHBgb7//vtqt/UkRUVF5OLiQlFRUQbvS0zlo/PRo4nOn68YYXXtSjR9OlFo6ONHWOnp6TRt2jTSarVERDRy5Ehq3ry5SY0+xHLmzBmj/Xt6WjU6sNLT08nS0pISEhKIiGjChAnUv39/0fvR6XTUr18/at68uX5ZwMcff0xeXl4EgJycnCg4OJiGDx9OixYtoq1bt9KZM2eq9J/hxo0b5OnpSVOfdD0jomnTplHXrl2N1p8YKptOqOyS8MYNouhoonPniPLzK29r9erV5OTkRCkpKcYp3ojK/z1NmTJF6lIqJbu7hGLy8fFBx44dsXHjRqxcuRKhoaF45ZVXkJOTg8YiHn2yYsUKHD58GCdPnkSdOnUQGxuLJUuWYO/evWjdujXUajUSEhKQmJiI+Ph47N69G4mJiSgqKoKzszN8fHz0b4GBgWjevDmUSiUcHBwwdOhQeHl54YsvvhCt3ieZMGECWrZsifT0dKPcpBDTk6YTVCpg1ixhcS8AvPxyGmrXDoOfnx8UCgV0Oh3mz5+P7du3G2WfeGPSarUYNmwYvLy8sMpUd6mVOjGfxldfEQ0eLG6bW7ZsIVdXVyouLiYiopYtW9Jnn30mWvtHjuioTZt/0a5du4hIGNW5uLjQ0qVLH/t1hYWFdP78eYqJiaFPPvmERo8eTW3btiUXFxcCQDY2NtS0aVNq0KABXblyRbR6q6pNmzZGu0khhfx8YZS1c+cVWrJkCY0ePZpefvll8vb2pjfffFPq8gxi7ty51KRJE1GmKQxFVoHVty+R2DeoyudkoqOjiYho1apVpFAoRFn9npVF1KgR0UcfCR+Ltbr+xo0bdPToUQoNDSVfX199W0OGDKHw8PBq110V69evJ3d3d9JoNEbpz1RER0dT/fr19T/gzEVUVBTZ29vT8ePHpS7lsWQTWBoNkZMTkSHmxN955x3q1q0bERHdvHmT7O3t6bfffqtWmwUFRC1bCiPC8myaO/c3Cgp6ge6K9PzG3bt3qXbt2vTf//6XiIgWLlxIL7/8sihtP0n5TYo9e/YYpT9TUVJSQg0aNKCYmBhpCtBqiVJTiURcEhMXF0e1a9emTZs2idamocgmsE6cILK1ffREaHXExcWRpaUlZWRkEBHRsGHDaMyYMdVqc8oUIoWi4nnHNWuI6tYlSkrSVq/Yh4wdO5aGDRtGREQZGRlkaWlptF02Q0NDqV+/fkbpy5TMnDmTunfvbvyO8/KIBgwgWr2a6K23hLsI1ZSbm0teXl4UFhYmQoGGJ5vAOnOG6IMPDNd+cHAwffB3B4cOHar2ws6LF4kSE4X3Y2OFsD1wQIRCH/L777+Tra0t3bhxg4iIunbtSjNmzBC/o7/l5+frLwOPHTtG1tbWlJ2dbbD+TFFycjJZWVnRpUuXjNvxF18Q/T0XSkRE3bpVDN+fgUajoa5du9Irr7xCpaWl1a/PCGQTWIa2fv16atKkCWk0GtJqteTl5SXKfFD5U/1LlohQ5CMEBATQqlWriEiYY3F1daWioiLR+9FqtdSnTx99IOp0OvL19aXdu3eL3pepCwkJoQ8//NC4nb7zDlFycsXHI0YQ3bxJlJYmbBWxaRPRyZNEVdxRY/78+eTu7k45OcY9O6E6OLD+9vDCUbVaLcqE8quvEvXuLUw9GMpnn31GLVq0IKKKORZDLOycM2fOA3eRtm/fTnZ2dnTx4kXR+zJ14eHh+h9wRrN2LdH9f6/la+HOnhX+kfn6EllZEQFEHh5EXbrQ3JkzafXq1RQbG0vp6en6eqOjo8nOzo7+/PNP49UvApMOLDH3v6qK8ePHi75w9MwZw9d97do1srGx0d/hmTlzpugLO7du3frAXSRjrq43Rfn5+VS3bl365ZdfjNdpcTHRmDFEc+cSjRxJVNkNj+JiYSl/dDSVffwxDRs2jFq3bk1169YlAGRnZ0cBAQHUqFEj+vLLL41Xu0hMOrCMfVzSDz/8QK6urjRixAhasmQJxcTE0IULF6p8eWXsgL1f//79aeLEiURElJSUJOrRXuWPapTfRbp+/brRV9eborCwMBowYIDxOy4oeKa5q5ycHDpy5Ah99913dPLkSQMUZngmH1hhYUSffWb4wDpw4AA5OztT7969afLkyfT666+Tm5sbASBLS0vy9vamYcMKaPp0om++Ifrvf4V1Vg/XK9V5dHv37n1gR9D27duLsrDz4Uc1ysrKqFOnTtSxY0fZTNQaysmTJ8na2trwc0CGnE+QGZPfraFDByA+XtiQ72EJCcJeRGlpz94+EeGjjz5C7969sWzZMvz8889Yu3Ytfv31V1y9ehX37t3DiRMnsGTJEvj52SEnRzgYo29fwMMDqFNH2AW1nFTn0fXo0QMuLi6Ijo4GIM7uExqNRv/oT/mjGrNnz4ZKpUJ0dDRsbGzEKF22goOD0aJFC2zevNlwnVy5AjRvLuxQyUz70Zwn7X+Vk0M0cCCRgwPR8uVEZWVP135BQQENGTKEnJ2daf/+/U/1tTod0aVLwlKFo0cfrPf+HQGMaeHChdS2bVsiqphjqc7uE++9994Dk+zh4eFkZ2dn8quhjWn16tWiPRnxD5WtPq7hZBFYREIIzJol3LEdOFBY51Ru504id3eiF18kOn++ard0MzMz6YUXXqDAwEBKTU0VtV4xNhh8Fg8vHA0LC3vmmwg//PAD1apVi86ePUtEwuWPvb29LFZDG9Pt27epVq1a1X4yolLDhxO1aCEsGGVEZOKBVZnbt4UbJba2RAsXCjdFiIQJ7hkzisnFxYtmz55NhYWFj2zj+PHj1LhxY+rTp4+op8BUFrDG1qVLF/06qZMnT9KkSZOe+qf/w3cAr127Rk2bNqXJkyeLXq85GDlyJI0ePVrcRisejRC3XZmTXWCVO3pUODLL25vo/qu5s2fPUqtWrcjNzY127Njxj6+LiIggOzs7mjNnjlk+uLt169ZqLRwtvwP49ttvE5GwrqtDhw6yWg1tbIcPHyYHBwe6VX6LuJqOHDlCb734IpXVwAW5TyLbwCISLvHfe4/IxoZowYJ0uvP3OoKioiKaN28e2dra0rp164hIeAxh2rRp5ODgQD/88IOUZRtU+cLRzz///Jl2FFCpVDRy5Ej9106fPl12q6GNTavVkqenJ3Xt2pU+/fRT+umnnyghIYFKSkqeuq20tDRycXGhxYsXG6BS+ZPVqTmPcu4cMHPmYKhUR7FmzRr069cPABAXF4eGDRvC3t4ew4YNw4ULF/DTTz+hbdu2EldsWFu2bEFoaCg0Gg28vLygUCgeOHZeqVTCzc3tie2Eh4djypQp+N///mf2f2bV8fPPP2PAgAHo168frl27hqSkJFy/fh3W1tbw8vL6x5+9v78/GjZs+I92CgoK0L59e/j5+SEmJgYWfM79P5hFYAHCkUQbNmzArFmz8Morr2Dt2rXw9PREcnIy+vbti3r16mHnzp1V+o9qDsrKypCVlaXfyVStVkOtVuPixYu4du0abGxs4OHhod/BtHxH06CgIDRs2BCnTp3Cq6++ilWrViEsLEzqb8dkXbx4Ee3bt8fKlSsxadIk/et37tzRH1abkpKif0tNTUVpaSmcnZ0f+EGiUCgQHh6OS5cu4fjx46hTp46E35XpMpvAKpecnIwJEyYgPj4eEydOxKZNmxASEoLNmzeb1ukfEtHpdMjMzNQflnr/f6arV6/C0tISnp6esLOzQ6tWrfCf//xH6pJNVm5uLoKDg9GtWzesX78eOp0OFhYWTxwZ3b59+x8/SOLj41FUVIQNGzagc+fORvoOZEjK61FD0Wq1tHr1avLz86O33npLf9IJe7x79+7RqVOnaMuWLeTm5kZr1qyRuiSTVb41y6uvvqq/GTF//vxq3UkNDg6mJYbc1sMMmGVglfPw8Kj0TiF7sk8++YSCgoKkLsNkPbz/+cPr1p7FunXryNvbm3/APoZZB1aLFi0oMjJS6jJkKScnh6ytren06dNSl2Jyyvc/L9+apTo7V2zZsoV69epFRMIWR46Ojvotr9k/mfyzhNXh5OSEu5U9hMie6LnnnkPPnj2xYcMGqUsxKWfPnsW4ceOwfv16tG3bFjdu3MCAAQMQGhqKUaNGPXV77du3x759+5CcnAxHR0cMGjQIGzduNEDl5oEDiz1SaOg4NGqUAp2uSOpSTEJubi4GDBiAsWPHYvTo0fqHw729vZ/5XEhvb2+89tpriIyMBACEhobixx9/RG5uroiVmw8OLPZIffv2Qf/+Kbh9O1rqUiRXfsiop6cnvvzySwDAnDlzkJGRge3bt8Pa+tnPJA4NDUVkZCTKysoQEhKCZs2a8d3ZR+DAYo9kYWENV9dRyM0V4RJFpxP2Abpzp/ptSWDevHlITk7Wb6sTGRmJdevW4aeffoKrq2u12u7fvz/KysqwZ88eAMD48eP5UvwROLDYY7m6jkd+/lEUFyc+eyP5+cDgwcC+fcC8ecCWLeIVaARRUVFYs2YNdu3ahUaNGuH06dOYMmUK1q9fjxdeeKHa7dvb22PEiBH6kBo7dixSU1Nx4sSJardtdqSe9TekpUuX6g9IZc8uJaUjZWW9+/RfWFAg/Cry8VTG9PAdwOvXr1PTpk1p2rRpovZTfjZmZmYmERENGjRIv+U1q8AjLPZEDRq8Axub56r2ybm5wJdfAi+8AIwcKbymVgNK5f0NArdvi16nIbz33nsYOnQoRo0aBY1GgyFDhsDX1xcrV64UtZ/nn38erVu3fmDyfevWrcjLyxO1H7njwGJP5Ow8AI0azXrMZ+hw714sdBPHAO7uwh7SY8cC5fMwgYHA+fMVn379OuDiYsCKxaHT6aBSqdChQwcAQFZWFgoKCvCf//ynWpPsjxIaGooNGzZAq9Wia9eucHV1xbZt20TvR87M7lnC++3ZsweTJk1Cdna21KWYpbKyq8jNjUBu7kZoNNfgf24aHBS9hY34yxUWAlZWQFgY0LixsEf50KFAr17SFf4U5s2bhyNHjuDo0aMG7+vevXtwc3PDjz/+iO7du2PRokXYv38/jh07ZvC+5cKsA+v3339Hjx49UFBQIHUpZkOjyUVZ2TUAOiQltYK9fSDq158IV9eRsLKqJ3xSWRmwaxfw3XdARgaQkgJYWAjh5eAgvC8TarUafn5+iIuLQ/PmzQ3e37hx45Cfn4+YmBhcuXIFXl5euHDhglH6lgOzvyQsLCxEWVmZ1KWYhXv3/osrV2ajoOAY8vJ+hb//SQQGXkDDhm/DyqoeSkpSofn6E+E4oQkTAD8/ICamIqBq1ZJVWAGAj48POnbsiPDwcKP0Fxoait27d+P69eto0qQJunXrxivf72P2gQUIQ2329HS6Ity+HQNABwAoLDyDunU7o379iWjYcDpq1XoRRCW4dSsKKlVnxMcrkVc3FVi2DMjOFs47a9lS2m9CBKGhodi0aRNKSkoM3ldISAiGDRuGO3+vVxs4cCB2794NM74QeipmfUl4584dODs7Iz09HT4+PlKXIxsFBSdx82YEbt2KgoWFNfz9j8HOzg9abR6uXVuOwsKzcHR8DY0azUB8vC+IdHB1HQVX13Gwt1c+uQOZKS4uhru7O9auXYvBgwcbrV+tVot//etfsLCwQGxsrNH6NWXi3+owIZaWlrCwsOA7hVVx+zaweTOKr/yBlKE/oW7dHvD03IB69frAwsIWAGBlVQdubksAACkpr6JRo1nw9f0ZDg7Pw8LCSsrqDap8YefGjRuNGlizZ89GfHw8Tp8+bbQ+TZ3ZjrAOHz6MCRMmoFmzZti7d69BbkObhaNHgXXrgO3bATc30JQwaKaNhI1NxVbSBQUnYG+vwN27sSgsPA0LC2toNLfg6fmdhIUb18WLF/HCCy8gPT0dXl5eBu8vMjISYWFhOHz4MNq3b2/w/mRDsiWrBpKbm0uDBg0iOzs7WrZsGZU97XHQ5kyrJUpNFQ53LDdtGtGkSUQP7XtVWvoX/fXXCoqPD6SzZ+3pzp09fzdRRFptzTzYs02bNvTBBx8YvJ/Tp0+Tvb09ffPNNwbvS27MaoS1Y8cOTJkyBR4eHoiIiOBbwffLzxcWc3bsCCQlAe3bV6xEL6fTAbGx0B74CRdGfw97e+XfSxZGwcrKWZKyTcm3336LxYsX49KlS7CyMswlcG5uLl566SV069YN3377rUH6kDWpE1MMN27coEGDBpG9vT2Pqh7lcc/zZWURLVpE1LQpUa1aROPGUcHNPyUp05Tl5eVRnTp1aO/evQZpv6ysjDp37kwdOnTgQ2sfQfbLGrZv347mzZvj2rVruHjxIubMmcPzVZV53PN827YBv/8OrFgB3LwJhIejlsvjzyG8eXMTrl6db8CCTU9lO4JqNBpoNBpR2p8/fz6Sk5MRExMDGxsbUdo0O1In5rO6fv06DRo0iGrXrk3r16/njfufZO1aoqioio+7dq14X6N56ubu3NlLZ886kkZzT4Ti5OPo0aNkbW1N2dnZRES0Z88eAkDOzs4UEhJCkyZNomXLltHu3bspPT29yv8ut27dSnZ2dnTs2DFDli97spzD+vbbbzF37ly88MIL2LBhA6+xqoqSElGf5yPSYujQm+jSpQEmTpTX6vXqatGiBUaPHo3Zs2cjLy8PcXFxSE5Ohkql0p/3qFar/3FgqkKh0B+a+vzzz+vbO3v2LDp06IDPP/8ckydPlvA7M32yCqyrV68iLCwMR44cwcqVKzFx4kQ+zvtpifg838KFwK+/CisjapLPP/8c69atQ1JS0mMn3ys7MDUhIQF5eXm4fPkygH8exsoeTzaBdfDgQYwaNQo+Pj4IDw+Hv7+/1CXVeDduCM85u7k9+XONSqcT5uzq1wfq1RO9+V27dmH69Om4evUqmjZtCh8fH/1bYGAgmjdvDi8vL1haVj5FXFxcDHt7e2i1WvTo0QMlJSU4dOgQz1tVgWwCq2fPnlAoFPj8888NdkuZmYGqLN+ohoyMDLz00kuYPHkyunTpApVKhdTUVKSkpEClUiEjIwNlZWVwcXF54BKw/M3Pzw8ODg4AhK1rvv/+e5w+fRrPPVfFDRJrONkEVkBAABYsWIARI0ZIXQq7T3ExUFQEODsDWq2QF3Z2wiCnVi3htbw8gwx0KrdqFeDjA/TtK3zcvTsQGyvKJXBhYSFCQkLg5+eH6OjoSqcjysrKkJGRAZVKpQ+x8kDLzs6GhYUFmjZtCjc3N5w5cwYHDhxAx44dq11bTSGb+/+8e6hpio0FZswQBjPXrgkbNHToIByOM3YskJMjbN6wZo2RClKrgZ49Kz4uX74hwg6nYWFhKCsrQ3h4+CPnTm1sbPSjqd69ez/we3l5eUhNTdWHWGRkJBQKRbXrqkk4sFi19eghBNKgQRWv6XSARiOMsIyqfDvm8jVnD2/HvGuXMPp6yhHX999HYOfOnfjzzz/h6Oj4TKXVqVMHrVq1QqtWrZ7p6xkHFhNBhw7AwYNAt24Vr0VFAXFxwiWivb0Rixk3Tli+cf68sHxj+vSK37t8GRgzBujcGdi0Cahi8BQU/Akvr/nYsWMzWrRoYZi6WZVwYDFRzJolLJRv2FD4ePhw4ZLwyhXhkhAQlkB4eAhTTAa7b2JnB0RGVr58o2lT4MQJoH9/YTJ+506hmMcoKclAWlofNGv2Ntzc3jRQ0ayqZBVYfJiE6QoKevxVFhEwfjyQmSlkSkAA8PLL76FhQwcolUr4+fkhKCgI9mINx2rVqng/O1sYeX39tXCpePw46O23cCllEFzrf4q6dbtV2oROVwi1uj/q1OkEN7cPxamLVYts7hIuXrwYx48fx969e6UuhVXD3buASgWkpgIq1WLEx19AQkICUlNTERYWhq+//lr8TktKgKlTgehoICICGDgQAJCb+y0uX34HjRr9H9zdl+LhHcMzMkaiqOgC/P3/hKXls81bMXHJaoTFl4Ty5+QEBAcLb8BC/etXrlyBj48Pxo0bh5deekncTu3shBN8/P2BESNQWCcbtbq/g/r1J8HW1gsZGcNhZ+eD+vUn6b+kqCgO9+7tg1L5B4eVCZHNbg0cWOatSZMm6NOnj+FOiLGwAN59F9pjB5DaaAnU6kHQ6fJRt243BAScg6vrWGg0uSgqSgBRCRwcgtCiRQbs7QMMUw97JhxYzGSEhobihx9+MOg5klatOyKw+TmUlmYhMbEViouTYGvrgby83/RHmN24sU74XKu6BquDPRsOLGYyevTogXr16iEmJsag/djYuEOhOITatVujrOw6gH8eYcZMk6wCKz8/HzqdTupSmIFYWlpi7NixRjk41NLSEd7eW1GnjvBYTIMGU1BcnIS0tH/hr78+M3j/7NnIKrB0Oh3y8vKkLoUZ0Lhx43Ds2DEkJiYatd/yI8yaNfsFd+/uAZEWOl0+MjKGoaREbdRa2KPJKrAA8GWhmfPy8kKXLl0QERFh1H5v3dqKK1dm4erVObC3V+rPWSTSIDk5GPfu8UGmpkA267BKS0thZ2eHuLi4B3ZrZOZn27ZtmDp1Kq5cuQI7OzuD9qXV5sHKyhGABXS6YgAaWFo6oqQkHXZ2vgAIf/31b2RnL4SicAUcQ94WZecH9mxkM8KytbVF48aNUVhYKHUpzMDefPNNWFhY4OeffzZoP0SlSE3tjmvXVgAALC3tYWnpiNLSS0hIaI6cnEUAgOeemw1Fk31wHPKp8FjPvXsGrYs9mmxGWKxmmTVrFhITE7Fv3z6D9XHp0mgUFJxBQMCJfywOzc8/BrV6EOztFfDxiYa1dUPg6lWgXz9hH50ffwTEXuDKnkg2IyxWs0ycOBEHDx5EZmamQdrfs+cG7t49CR+fqEpXsjs6toe//3GgpBQYPRZITgbc3YUnuF96SXgokhkdBxYzSf7+/nj55ZcNMvl+7BgwcGADpKcnwsHh0fOhtrYeUPgdgrVNA6BtW2DvXmFLmh9/BAYMEDb9SksTditkRsGBxUxWaGgoNm7cCK2IuwBmZwtZ8+67QP/+Vfjnb28v7J314YfC/FV0tPB6fj4weDCwbx8wbx6wZYtoNbJH4zksZrIKCgrg5uaG6Oho9OjRQ5Q2NRphu6zx44FHHGrzaIcPAy1bCjuYGnDvePZostmtgdU8tWvXxqBBg7B06VJcvXoVSqUS/v7+qF+/fpW+vrIDMpycgAkTnrGg11+veN+Ae8ezR+NLQmbS/v3vf6Nly5ZYsWIFOnfujAYNGsDV1RXt2rXD9OmfYtkyYMcOIDERKC198GtjY4EXXxRCKysLWLxYxMLK944v9/De8cwg+JKQyYZGo0FGRgZSUlKQnJyMmzfd8Oefw5GUJOSFlRXg7Q0oFMD8+cJrsbGAr69wQMaaNcI2zqIoKRH2jm/cWNgHeuhQoFcvkRpnj8KBxczCnTvCTqbJyUBKCjBsmHADLz9fOCBj5kxg82YRA6tcZXvHM4PhwGJma+dOIbCCgioOyBA9sJhR8RwWM3tPOiCDyQePsBhjssEjLMaYbHBgMcZkgwOL1Rh//AHMni11Faw6OLBYjVG3LrByJXD5stSVsGfFgcVqjKAgoFUr4VlCJk8cWKxGmTBBOK2eD1+SJw4sVqOMGAHcvAkcOiR1JexZcGCxGsXREXjrrY2IinpL6lLYM+CFo6zGOXbsGF5//XVkZWWhYcOGUpfDngKPsFiN0759e/j5+WHz5s1Sl8KeEgcWq5HGjx+P7777DnyBIS98SchqpGvXrsHDwwOzZ89Gp06d4OfnBw8PD6nLYk/AgcVqrP3792POnDlQqVQoKipC7dq1oVAo4OfnB4VCAaVSCYVCAYVCgXr16kldLgMHFmMgImRlZUGlUunfUlJSoFKpkJmZCa1Wi4YNGz4QYH5+flAqlfD19YWdnZ3U30KNwYHF2BNkZ2cjMTERarUaarUaCQkJSExMRGZmJsaMGYNvv/0WVlZWUpdZI3BgMfaMsrOzERAQgM2bN6Nv+XFfzKA4sBirhsmTJyMnJwe7du2SupQagQOLsWo4c+YM2rZti8zMTLi5uUldjtnjdViMVUPr1q0RFBSETZs2SV1KjcAnPzNWTSunTEGz3bsBIj7twsD4kpCx6rp7F3BzA/bsefA4eyY6DizGxDBmDFBWBvzwg9SVmDUOLMbE8NtvQNeuwrH1DRpIXY3Z4kl3xsTw6quAjw+wZYvUlZg1HmExJpbffxdCy91d6krMFgcWY0w2+JKQMSYbHFiMiU2nA9LSgDt3Kl4rLgYKC4X3tdoHf49VGQcWY2LKzwcGDwb27QPmzauYhI+NBbZtE97PyQEWLJCuRhnjle6MiWnDBmD0aKB894bu3YWzxQBh5KXRCCMs9kw4sBgTk1oN9OxZ8XGDBsDt28L7UVFAXJwwCrO3l6Y+meNLQsbEFBgInD9f8fH164CLi/D+8OHAqlXARx9JUJh54BEWY2IaNw4ICxNC68oVYPp0qSsyK7wOizFDKCwEHBx49waRcWAxxmSD57AYY7LBgcUYkw0OLMaYbHBgMcZkgwOLMSYbHFiMMdngwGKMyQYHFmNMNjiwGGOywYHFGJMNDizGmGxwYDHGZIMDizEmGxxYjDHZ4MBijMkGBxZjTDY4sBhjssGBxRiTDQ4sxphscGAxxmSDA4sxJhscWIwx2eDAYozJBgcWY0w2OLAYY7LBgcUYkw0OLMaYbHBgMcZkgwOLMSYbHFiMMdngwGKMyQYHFmNMNjiwGGOywYHFGJMNDizGmGxwYDHGZIMDizEmGxxYjDHZ4MBijMkGBxZjTDY4sBhjssGBxRiTDQ4sxphscGAxxmSDA4sxJhscWIwx2eDAYozJBgcWY0w2OLAYY7LBgcUYkw0OLMaYbHBgMcZkgwOLMSYbHFiMMdngwGKMyQYHFmNMNjiwGGOywYHFGJMNDizGmGxwYDHGZIMDizEmG/8Pq9kWeAkEwl4AAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
        "      <td> 852.997</td>\n",
        "      <td> 2.6245</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>92</th>\n",
        "      <td> 487045</td>\n",
        "      <td> <img 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\" alt=\"Mol\"/></td>\n",
        "      <td> 866.980</td>\n",
        "      <td> 2.7168</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 53,
       "text": [
        "    molregno                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                mol       mw    logp\n",
        "62    487046                                                                                                                                                                                                                              <img 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\" 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\" alt=\"Mol\"/>  866.980  2.7168"
       ]
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Substructure search within the table"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "qsmi = 'c1nn(C)c2c1nc[nH]c2=O'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 54
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "qmol = Chem.MolFromSmiles(qsmi)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "qmol"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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       "prompt_number": 56,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x7f883e481a60>"
       ]
      }
     ],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "subset = data[data['mol'] >= qmol]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "subset.shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 58,
       "text": [
        "(90, 6)"
       ]
      }
     ],
     "prompt_number": 58
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "subset.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>molregno</th>\n",
        "      <th>smiles</th>\n",
        "      <th>similarity</th>\n",
        "      <th>mol</th>\n",
        "      <th>logp</th>\n",
        "      <th>mw</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>  410802</td>\n",
        "      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 <img 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\" alt=\"Mol\"/></td>\n",
        "      <td> 1.6109</td>\n",
        "      <td> 474.587</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1351311</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "      <td>                                                                                                             <img 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\" alt=\"Mol\"/></td>\n",
        "      <td> 2.8494</td>\n",
        "      <td> 459.572</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 1351310</td>\n",
        "      <td>     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "      <td> <img 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kpOTyd/fv66oUlNTdZ4vPV37i75HD6L9+x/tNZKSksjX17euqC5evPjIeaKioqh79+40Y8YMysnJaXJ/7WjMx8eHrl279sj7ISKKiYmhCRMmtJi79pC0pa/do9Coioj69SPauLHxHZs2abcXFbV7H6z1uLBacPDgQerTpw+NHTuW0hv+ZiXtyGT27Nkd8gP/KCoqiNauJbKyIlq37h+kUqla9bzaH3hzc3MKCgqi3377rUPy5OXl0bx586hr164U3syIo7CwkJYsWdLiaOxBNBoNxcTEkLe3N5mamlJgYOBDc8fFxdV97a5cudLmf09D168vp/yoAKKG5Xf2LJGZGVF8fLtem7UdF9YDFBYWNplEvnnzJo0ZM4aeeuqpjj/0aKMzZ34nV1dXcnNzozNnzjT7mNof+AkTJpClpSUFBQXRjRs3dJInKiqK7O3tafbs2XTr1q0m90dGRlK3bt1o/vz5VFJS8sDX0mg0FBUVRaNGjXqk3Pd/7R7lkFSpjKLz5y2pvLzBPFx5ufYNmlWr2vx6rP24sFrh66+/Jnt7e5o2bRrt2rWLnJycREeqU15eTsHBwWRiYkKBgYFU9p/TM2pqaigyMpJGjRpFVlZWFBwcTHfu3NF5nhs3btC0adPIycmJ9u7d2+T+nJwcWrNmTYsFUl1dTZGRkTRixIgOyR0REUFdu3aln39+kSoqmh6ytqSyMpdSUhzpzp2wRtuLk94njddoPhQUhAurlW7dukULFy6krVu3kpubm+g4TSQkJFC/fv1o9OjR9PHHH5OXlxdZWVnR6tWr6ebNm3rNotFoKDw8nGxsbCggIIDu3r370OdUVVVReHg4DRo0iLp160YhISGtel5r5OZmU0aGH1240I0KCr5q1XMyM+fSr79OIaL6Yi0rO0vJyWZUUpLYIblY23FhtdHWrVvJ29tbdIxmFRUV0ZNPPkmDBw+mtWvXUn5+vtA8WVlZNHHiROrRowdFR0c3+xi1Wk1hYWH02GOPkYODA4WGhj70cPFRKZVRlJLiQBkZvlRR0fR0jFpVVQWUnu5JanVm3baamnt08eJAysl5QyfZWOtwYbVRSEgIzZ07V3SMOpcvX647DCQi+vbbb8nV1VVgosZqPzFgbm5OAQEBpFAoiEj7kZ6wsDDq378/9e7dm8LCwh7p0wRtVVmZS9euPUkXLtjR3bvhRNS6NwCys1+ly5dHkEbD516J1Pk+/NxOUrq2OQB4enrifIOrT0gtX5cuXfDaa6/h1KlTSE9Ph5eXF9auXQt3d3e8++67ePnll3H16lW89tprsLGx0XkeU9OeGDRoP1xcvsDNm2uQmTkLlZU5D3xOaem/cffu53Bx2Q4jI3OdZ2Qt48JqIyld27z20sUN80h1MYYxY8YgOTkZAQEByMnJweuvv46srCy89dZbsLW11Xsee/sADBt2FhpNGa5cGYOSksMAgOrqApSXXwZR/eWzraw8MHDg97C2Hq/3nKwxw76Anw4oFAq4u7uLjgGg+QvXSXkxBnNzc4SGhoqOUcfcfBCGDj2GO3e2wtS0F0pKEqFU/hM2NuNx714inJ21l4vp0sUa3bo9KTgtA7iw2kxKh1wKhaLJpYuVSiUcHR0FppKbLujR43UAQHHxFtjZTYODwyLBmVhL+JCwjaR0yKVUKmFra9vo0sVSOmSVGyenl6BWX8G1a7ORl/ee6DisGTzCaiMpHXK1tD6fVApVboyNbdG79zsAgF9/nYgePd5EdfVdmJr2FJxM+7X+61//ijt37sDR0RErVqzA2LFjRcfSOx5htUF1dTWKi4slUwgqlTXGjJnRaJuUClX6NADqV7lRKnfj5s03cetWMCwshkKjKcPly+7Izn4FGo1KSMLq6mp8/PHHcHV1xalTpzBhwgTcvn0b3t7eGDVqFLZt21Y3l9kpiD6vQk7y8/MJQLPXgBJh82ai6dMbb3vssSKKj2//VQo6g9zcLXT9+tJG22pqyqmmpv58MJXqEqWne1JamguVlPxLr/mioqJo8ODB1L9/f4qKimr0oXGlUknh4eE0cuRIMjY2Jl9fX4qKitLd9cAkgkdYbSC9BUUbr0hWUwNkZ3eFg4Npy09iAIDy8jTcvr0eDg5LGm3v0sUCXbrUnw9maTkcbm6n4eT0R2RmzsLvv6/S+Wjr4sWLmDZtGpYuXYpFixYhPT0dAQEBMGqwSom9vT0CAwORmpqKM2fOYODAgXj++efRv39/rFmzBr/99ptOM4rChdUGSqUSFhYWsLa2Fh0FAKBQNC6soiLtSjwS6VPJIqrE9etL0b37EtjZ+dZtv3fvKKqqcps83sjIBD17BmPYsF+gUv2CK1ceh0rV8asElZSUITg4GF5eXjA1NcX58+exYcOGh36/eXp6Ijw8HLdv30ZoaCiSk5MxZMgQ+Pj4YPv27VCpxBzO6gIXVhtI7R04pbLxMni1UxlcWA+Wm7sZNTWF6Nu3fiHIqqo8ZGXNR1HR/hafZ2k5EkOH/ht2dn7Ytu06QkM7ZmVuImDXLsDDowv+/e9kfP/994iLi8OwYcPa9Dq2trZYunQpEhIScOnSJfj4+OAvf/kL+vTpg1WrViGl4RqKciX6mFROIiIiaMSIEaJj1PHxIQprcPWTpCTtdeVYyzRX0uhq/AAqKoptuJUyMnwpM3NWq1/nyBHtKnHjxhG15xqBx49rV5xzciKKjOz45d/UajVFRUWRr68vGRkZkaenJ4WHh+vsA+a6xiOsNpDSOViA9pCw4QhLoQDuW++UNVRZCaNnl2Loj37o2nV23eaCgi9RVpYMF5cvWv1SkycD6enApEmAhwewZg3QlgWwf/8dmDsXmDoVmDgR+PVX7dq9XTr4J9Lc3BwBAQFISEhAdnY2AgICsHnzZjg7O2PBggVITEwEET38hSSCC6sNpHbKwNy52hWja90/Cc/u89e/apfffq/+ULCyMhs3b76Jfv0+gKlp7za9nKUlEBoKHDgA/POfgI8PcOXKg5+jVgMbNmhXua+pAS5dArZu1c8vmr59+yI4OBgZGRnYtWsXSkpKMGPGDIwfPx7FxcW6D9ABuLDaQGojrC1bgFGj6m/fP+JiDRw/Dnz0ERARAdROYhPBdPmbcMlciO7dlz/yS/v6AufPA/36AU88AeTna4upsFB7f00NUFwMnDsHeHoCO3cCX34JxMYCQ4e2+1/WZmZmZggICEBcXByysrLQs2dPvPDCC/oP8gi4sNqgubPIr127JihNU337AnPmiE4hQaWlwHPPAa+9Bnh712//9FMYxR+Bvc9GAEYtPr01HB2B778HjhwBnJ2BuDhg9GigvBzIyQE2bQK6dgUCAoCrV4FnngGM2rfLDuHi4oJVq1bh4MGDKC8vFx3nobiw2uD+dwnVajUmTpyIefPm4c6dOwKTac2fr51LYfcxNQVWrQI2bqzflpEBvPUW8MknQK9eHbYrT8/6/545U/vytVxdtYeDVlYdtrsOMXXqVBgbG+Pnn38WHeWhuLDa4P7CsrCwwPnz56HRaDB06FBs375dYDrWInNzbTnVNkVNDbB8uXYS8JlndLZbHx/tHJXUp4fMzc0xc+ZM7N/f8ikdUsGF1UpHjhxBRUUFDh8+jNLS0rrtPXv2RExMDN577z386U9/wuzZs3H79m29ZmtuvoQ9wIkTQFYWsG2bznf15pvABx88/HGizZs3DzExMajpiBPLdIgL6yGICP/3f/8HPz8/PP7447hy5QpGjRqF48eP1z3GyMgIgYGBSEtLQ3l5OUaMGIFvvvlGbxmbmy9hDzB5svY8Amdnne9q5EhpzFU9zJw5c1BUVITTp0+LjvJgok8EkzKlUkmzZ88mBwcHio3VnmhYVVVFoaGhZG5uToGBgU0WTqhd4sra2poCAgKooKBA5zmjo7Xrer73HtH160RvvqnzXUpfTQ1RZiZRYaHoJLIxffp0+vOf/yw6xgPxCKsFZ8+ehYeHBxQKBVJSUjB7tvZEQxMTEwQHB+OXX37BmTNn8F//9V84evRo3fNqR1tnz57FjRs3MHz4cL3MDchlvkQvSkuBBQuAQ4eAt98G9DjalbN58+YhOjpadIwHE92YUvTFF1+QhYUFBQUFkVrd8rJOLa26XKvhaCwgIICUSmWH5szM1K6cHh1N9PXXRKmpREuW8AiLPvqIaP/++tt+fkSa1i3n1ZndvHmTjIyM6PLly6KjtIhHWA1UV2vwxhtv4JVXXsFHH32ErVu3wty85WWdLCwsEBoaiuPHj+Po0aN4/PHHcfbs2br7a0dj586dw7Vr1zB69OgOeev48mVg0SJg2DDg8OH67XKZL9G5rKzGZ2Q6OdW/K6En589rd9uWj+uI1qdPH3h6euLHH38UHaVlohtTKnJziSZOJJo3bx2dPXu2zc9XqVQUHBxMZmZmFBwcTBUVFY3ur6yspNDQUDIzM2t27qs1EhOJJkwgMjEhCgwkunatzS/ROXz2GdGePfW377/KoR78859EAwbofbfttmnTJho7dqzoGC2SVGHl5uZSTUd/XL0V4uOJHB2J/vd/idr7IfaEhATq378/jRgxgs6fP9/k/jNnzpCbmxsNGDCAjh071qrXjInRFpWFBVFQkHZinT2AWk20bBnRmjVEixcTHTig9wgbNhDNmKH33bZbWloaGRkZUU5OjugozZJUYT3xxBPk7OxMy5Yto++++44KdfwOT00NUUiI9pIsoaEdN81RXFxMgYGBZGpqSiEhIVRdXd3o/nv37tGqVatow4YND3ydxEQ1TZqkzffCC0S//dYx+TqNsjJhc1eLFhG9+qqQXbebq6srffrpp6JjNEtShVVeXk4JCQkUHBxM7u7uBIDc3d0pODiYTpw40aGjr8JCorlziXr00F7bSBcOHTpEffr0oSeeeIKutPKiSRqNhvbv309PPPEETZnyJQUFEUn0lx17AC8vom3bRKd4NG+88QbNkOjwUFKFdb+UlBTavHkz+fj4kLGxMfXv35+Cg9+lmBii0tJHf920NCJXV+3F13RdBoWFhbRkyRKysLCg0NDQFku3srKSwsPDaeDAgeTg4EChoaFUXFys23BMZ7p2JYqLE53i0Rw7dozMzMwk+f0n6cJqSKFQ0O7du+mtt/aSo6N2PmfGDKKtW1uefC4vJ6o9k6C6mqioSHtVzq5dtW//33cWgk5FRUWRo6MjeXt7U2ZmZt12lUpFYWFh5OLiQr1796awsLBHmpBn0pGXRwQQZWWJTvJoqqurycnJifY0fONCImRTWPf77Tft5YF9fYlMTbWHdkuWEEVFEdX+YoiOJnJxIVKp6s8Av3ePaNcuMZnz8vLoqaeeIisrK3rvvffo3XffJWdnZ+rXrx+Fh4c/8JwvJh/Hj2t/oQp4/6jDPPfcc/Tss8+KjtGEEZGMro/agrw84OBB7YnN8fHalWMyM4HTp7Wfsxs0SHsdok8+Ad5/X2xWIsLnn3+OjRs3wtjYGGvWrMHKlSthaWkpNhjrMHv2XMHevebYt2+g6CiPbP/+/Vi2bBny8/NhZmYmOk4dgzhxtGdP4Pnngb17gYICbUn1/M/q4lL7yIqRkREWLlyIgoICREdH49VXX+WyMjApKZEg+pPoGO3i5+eH6urqRh87kwKDKKyGTE2BCRMab5PaJT4SEhLg5OQELy8v0VGYDmRkZGDIkCGiY7SLpaUlpk+fLrlrZBlcYTVHah9ZOXjwIGbNmtVoJV9mODIzM2VfWID2w9A//vijpFbVMYg5LDnRaDTo2bMn/vGPfyAgIEB0HNbBampqYG1tjcTERPj4+IiO0y75+fno3bs3kpOTMarhaicCdYoRlpScO3cORUVFmDFjhugoTAdycnJQUVFhECOs9PR02Nraon///qKj1OHC0rODBw/C29sbdnZ2oqMwHcjIyEC3bt3grIermepSYWEhFi9ejNWrV8NeQqvzdqrCiooCrl8Xm+HQoUN1FwNkhscQJtwB4I033kDv3r2xbt060VEa6VSFFR4O7Nghbv937tzBuXPnuLAMWGZmpqQOoR7FDz/8gD179iAyMhImJiai4zTSqQpr0SLg22+1J5aKEBcXh379+mHEiBFiAjCd8/f3R3x8PC5cuCA6yiPJz8/Hiy++iI0bN2LYsGGi4zTRqQpr/nzg7l3tKk8iHDp0CLNmzRKzc6YX06dPxyuvvIKpU6ciJSVFdJw2CwoKgpubG/70J2me+Cqt8Z6O2dlp18785htg0iT97ru6uhrx8fGIiIjQ746Z3v39739HWVkZ5syZg5MnT2LAgAGiI7XKd999h9jYWKSmpqJLF2mOZaSZSocWL9ZOvpeX63e/SUlJKC8vx7Rp0/S7YybEhx9+iIkTJ2L69OnIzc0VHeeh8vLy8PLLL2Pz5s0YOFC6n4HsdIU1cyZgZgbExup3v4cOHcKkSZNgbW2t3x0zIbp06YJdu3bBzc0Nfn5+UCqVoiM9UGBgIDw9PfHKK6+IjvJAna6wTE2BhQu1k+/6FBsby/NXnYypqSn27t0LBwcHzJ49G6WlpaIjNSsiIgLHjh3D9u3bJf9xsU750ZykJO1q5bdvA927635/2dnZcHFxQUZGBlxdXXW/QyYpJSUlmDJlCuzt7REbG/vApeP0LTs7GyNHjsT777+PlStXio7zUJ1uhAUA48cDjz2mvRyNPsTFxcHV1ZXLqpOys7NDXFwcbt26hWeeeQbV1dWiIwHQXpvt+eefx4QJE2RRVkAne5ewoRdeACoqHv35KpUKFRUVKCsrQ2VlZd3fpaWlqKqqwujRo9H9P8M3PrudOTk5ISEhAT4+Pli5ciW++uor4Ydfn3/+OS5cuICLFy8KzdEmwq51KnE7dxJ5ehK5uxMNHEjUqxeRvT2Rubn2et0TJ+4mAE3+WFtbk729PR06dIiIiNRqNVlbW9Phw4cF/4uYFGRkZFCPHj0oKChIaI7MzEyytramb775RmiOtuqUc1itkZoKnDkDWFgAlpbaP7X/bWEB2NgUwtS0EFZWVjA3N4e1tXWzl5JNTEzE008/jYKCAknNXTBxUlNTMXnyZLz11ltYu3at3vdfU1ODSZMmoVevXtirr3mRDtJpDwkBQK3Wno9lbw/U1AClpUDXrtr7Ro3S/mmZ/X/+PNjBgwcxdepULitWZ9SoUYiNjYWfnx8cHBywatUqve5/69atuHbtGn788Ue97rcjdMpJ91pxccDo0drSyskBNm3q+H3UXl2UsYa8vb2xe/duvPbaa9izZ4/e9nv58mW8/fbbCA8Ph6Ojo97221E69QgL0J5I+skn2lV1AKCoCPjtN6CyEigrq/+7ogJQqer/trBIQ27uP6FWq1FeXo7y8vK6/1ar1VCpVFCpVCgsLMT48eOF/huZNM2dOxdffvklli9fDltbW8yZM0en+6uqqsLSpUsxf/58zJs3T6f70pVOX1g+PkBCAuDnp739738D/v7aE0xtbLRnxVtb1/9tbg5YWQFDhhjj7t0sWFhYwNLSEvb29rC0tISlpWXdNnNzc4SHh2PdunWIiYmR7OezmDiLFi1CcXExFixYgEOHDmHixIkd9trl5eUoKCiAQqFAfn4+9u/fj1u3buHw4cMdtg996/SFBWhX1Xn/fcDZGZgzB2jd2xDDAUQ99FFPPfUUPD09ERISgk26OOZksvfSSy+hoKAAc+fOxZEjRzBmzJgmj6msrKwrn4KCAhQUFODu3bt1t2v/vnv3bt39KpWq7vndunXD+PHj8f3338vyULAWFxZ0u6pOjx49sHfvXkyePBljxozB008/rZsdMVlbv349cnNzMW/ePEyePBlKpRIKhQJ3797F3bt3ce/evbrH2tjYoHv37nB2doajoyO6d+8OJycnuLm5wdHREc7OzujevXvdfY6OjpK7EN+j4tMa9OTDDz/Epk2bcO7cOQwaNEh0HCZBGo0GMTEx+Ne//tWocO4vIAsLC9FRheHC0qOFCxfi6tWrSEpKgpWVleg4jMkOzwLr0Zdffonq6moEBgaKjsKYLHFh6ZGNjQ1++OEH/PTTT9ghcjUMxmSKDwkF+O6777B8+XIcP34cXl5eouMwJhtcWIKsXr0a0dHRSE5OlvXbzIzpExeWINXV1Zg6dSrMzMxw+PBhGBsbi47EmOTxHJYgJiYmiIqKwpUrV/iEUsZaiUdYgh07dgx+fn6Ijo7mi/wx9hA8whJs0qRJeOedd7B48WJkZWWJjsOYpPEISwKICAsWLEBmZiaSkpJgaWkpOhJjksQjLAkwMjLCV199hcrKSgQFBYmOw5hkcWFJhI2NDaKiorB79258+eWXouMwJkl8SCgxe/bswXPPPYeTJ0/C09NTdBzGJIULS4ICAwNx+vRppKamCl8KijEp4UNCCXr22Wdx69YtqNVq0VEYkxQuLAnasWMHZs6cye8WMnYfw7gMoQHJz8/Hvn37kJiYKDoKY5LDIyyJ+eqrrzBkyBD893//t+gojEkOF5aEaDQahIeH8wX+GGsBF5aExMfHIz8/H0uXLhUdhTFJ4tMaJOTpp59G9+7d8cUXX4iOwpgk8aS7RNy8eRMHDhxAUlKS6CiMSRYfEkrEF198AQ8PDzz++OOiozAmWVxYElBVVYXt27fjxRdfFB2FMUnjwpKAAwcOQK1W4w9/+IPoKIxJGheWBHz++edYvHgxn9nO2EPwu4SCZWZmws3NDZcuXcKwYcNEx2FM0niEJdiOHTvg4+PDZcVYK3BhCaRWq7Fz506sWrVKdBTGZIELS6B9+/bB2NgY8+fPFx2FMVngwhIoPDwcy5cvh5mZmegojMkCT7oLcvHiRXh4eCAzMxMDBw4UHYcxWeARliDbt2/H9OnTuawYawP+LKEAZWVl+PrrrxERESE6CmOywiMsAXbv3g1bW1v4+/uLjsKYrHBhCVBZWQk3NzeYmPAAl7G24MISwN/fHykpKXjvvfdER2FMVvhdQkESExMxe/ZsxMbGYvr06aLjMCYLPMISxNfXF+vWrcPixYtx69Yt0XEYkwUeYQmk0Wjg7++PwsJCHDt2jE8gZewheIQlUJcuXfDtt98iPz8ff/7zn0XHYUzyuLAEs7e3xw8//IAdO3Zg165douMwJmlcWBIwatQobNu2DS+99BIuX74sOg5jksVzWBKyYsUKnDx5Er/88gu6du0qOg5jksOFJSFqtRo+Pj7o27cvoqOjYWRkJDoSY5LCh4QSYmFhgX379uHkyZP48MMPRcdhTHJ4hCVBsbGx+J//+R/Ex8dj0qRJouMwJhlcWBK1fv16bN++HcnJyejTp4/oOIxJAheWRGk0GsyZMwfFxcU4evQon1TKGHgOS7JqTyrNy8vDmjVrRMdhTBK4sCTMwcEB3333HT777DNERUWJjsOYcFxYEufl5YWwsDCsWLEC6enpouMwJhTPYcnE888/j1OnTuGXX36BnZ2d6DiMCcEjLJnYtm0brK2tkZycLDoKY8LwCEtGNBoNunTh3zGs8+LCYozJBv+6ZozJBhcWY0w2uLAYY7LBhcUYkw0uLMaYbHBhMcZkgwuLMSYbXFiMMdngwmKMyQYXFmNMNriwGGOywYXFGJMNLizGmGxwYTHGZIMLizEmG1xYjDHZ4MJijMkGFxZjTDa4sBhjssGFxRiTDS4sxphscGExxmSDC4sxJhtcWIwx2eDCYozJBhcWY0w2uLAYY7LBhcUYkw0uLMaYbHBhMcZkgwuLMSYbXFiMMdngwmKMyQYXFmNMNriwGGOywYXFGJMNLizGmGxwYTHGZIMLizEmG1xYjDHZ4MJijMkGFxZjTDa4sBhjssGFxRiTDS4sxphscGExxmSDC4sxJhtcWIwx2eDCYozJBhcWY0w2/h/0rCTQSFYM0wAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
        "      <td> 3.2395</td>\n",
        "      <td> 473.599</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>   80636</td>\n",
        "      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.866667</td>\n",
        "      <td>                                                                         <img 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\" alt=\"Mol\"/></td>\n",
        "      <td> 1.2687</td>\n",
        "      <td> 460.560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>   80694</td>\n",
        "      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.838710</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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\" alt=\"Mol\"/></td>\n",
        "      <td> 0.9734</td>\n",
        "      <td> 504.613</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 59,
       "text": [
        "   molregno                                                          smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    mol    logp       mw\n",
        "0    410802    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  <img 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UrVwodzbqZPExMRI4Q0j4+Xl5fLyyy+Ls7OzPPLII1JcXCwXL16UmJgYadu2rTz44IOye/duq5V37ZrI//yP5Qt/4cLbGxNOTk6WQYMGiZeXlyQkJDQYQG+OCxcuyGOPPVbTmiovL6/3en5+vkyfPl10Op0sXrxYjLco+MKFCxITEyM6nU7GjRt320G3Z88eCQoKku7du0tubtptffbkyUly4sTD9fZdyntZSv8wTaQZoU7Wx8D62YkTJ+TBBx+8abfn22+/lblz58oLL7wg7u7uMnToUElPT7dZfTt3ioSGlkpwcOgtz7tjxw4ZOXKkuLq6Snx8fLNaH7eSkpIinTt3lkGDBsnevXsbreHhhx++aWvu2rVrEh8fL25ubhIWFia7du1qdi0VFRWyatUbcviwh5w6NUMqKm49+FdY+JkcPuwipaW1g+oGw0E5dMhJfvppR7NrIetiYNXxS92e7du3i5+fn/Tp00fWrVtnvcvrv6B6kNvd3V3Cw8Plhx9+qPd6YwPV1lRYWCixsbHSpk0biYmJkeLi4lt+pri4WOLj48XT01NCQkJaNPQrKs5LXt6v5PBhN7l4MUHM5qqbvreqqkiKijbXbJvNFXLs2GA5c+bpFquHWh4DqxEXLlyQ6dOni4uLiyxZskTKyspkxIgREhcXJ5WVlUqXJ6dOnZKHH35YvLy8JDExUY4cOSLh4eE1A9Vn7+TyZDN8/fXX0r9/f+nUqZN88sknjb7HaDRKQkKC+Pr6St++fSU5OblBK7alFBWlyNGjneXbb0PEYGjaFZBLl16Xo0fbS2Xlj1apiVoGA+smzGazvP/++3L33XfLjBkzpH379rJ58+Zbf9BGTCaTrFixQjw9PcXT01PGjx8vGS1xebKZSktLZcmSJdK2bdt6rb/KykrR6/XSpUsXCQgIkKSkJJuEflVVoZw7FyuHDrWVc+dixWSqHb+rrLwiRmOOmM21F0kuXlwqP/74H6vXRXfGQUQl866oVEFBAS5evIjQ0FB88cUXGD16tNIl1fPCCy8gKysLW7ZsUboUAEBGRgaio6ORn5+P6OhopKamIj8/HwsWLEBsbKzNH2D+6acvce7cM3BwcEbfvjtQWpqNa9c+gIfHCJjNRvj7cwYGLbHPZwlbkL+/P4KDg1UzdfCECROwZ8+emm2TyQRfX18FK6pv2LBhyMjIwPPPP4/8/HxMmzYNp0+fxqJFixT5/69duwkIDMxG+/Z/gE7nD6PxENq1ewi+vtEMKw2yz+llWlhZWRnMZrMqAmvv3r2orKys2VbLhHt16XQ6LFy4UOkyajg6usHXNwYA4Of3DC5fXoq8vMnw8HgQHTq8oHB1dDvYwmoCReYTv4kbW3o2mXbFjrRp44lOnV5F796bUVz8BUQUnjGRbgsDqwnUElhlZWUwmUzKz8SpYdeufYjz559Hfn48XFz6oarqMgoK/qF4cB06dAgTJ07EY489hpSUFEVrUTMGVhNUL4CgdEumseBkYN0eH59fo1Onv6Jjxz+he/dVKC8/jUuX/obc3PthNGbavJ7jx4/j8ccfx3333Qc/Pz/06dMHTzzxBCIiInDx4kWb16N2DKwmMBgMcHR0hIuScxej8ZVj2CX8Zd9/PxfFxV/U2+fo6AJHRw8AgIdHKIKC8tCu3UPIzR2G77+fB5PpJ6vXdeLECURGRiI4OBh333038vLysHbtWiQkJCAvLw9msxm9e/fG0qVLYVJ6on8VYWA1QfW0wQ4KTxFqNDrg3nvHwdW1NrBcXLzRrl17BatSr6KiT3Ht2gdwcen/i+9zdHRH584J6Nv3K5SU7MKxY/1RWPiJVWo6c+YMIiMjERgYCADIzMyEXq9Hjx49at7TqVMnbNiwAR999BGWL1+OoUOH4uDBg1apR2sYWE2glm5XSUkXZGamw83NtWbfuXOfw8XlCQWrUieTqRjnzv0eHTu+BGfn6oUzzLh6dSVEKhr9jIfHSAwYcBA+Pr/GyZNz8cILJbhypWXqKSoCXnqpEsOHP4hz584hLS0NycnJGDhw4E0/M3XqVOTk5CAsLAyjRo1CXFwcSkpKWqYgjWJgNYFaAstgaLh4i8FgWSOB6rtw4SXodB3Qvv0fa/ZdufIv5OcvhslUdNPPOTq6oUuXt+DndxJpaR4YMABISmr+spYGA/Daa0DPnsCnn+qwZs127Nu3D2PHjm3S5728vLBs2TJs27YNW7duRXBwML788svmFWMHGFhNoJabRo1G4MYyGtvX6h05Aq+Vx9Ct2z/h4GC51bCi4izOn38BXbu+Aycn/1seIiDAD4cPA3/7m2U93tBQoM66HLdUWmpZ16RbN8sSbsnJQHY2MGlSr2b9SKGhocjMzMS8efMwbdo0REZG4kpLNf80hIHVBOpZvr1hODW2r1WrrASeegrtrgfB3X1Eze5z534PT8+x8PF5ssmHqru4UseOlhW7Fy60rARWVla7Nq/JZFnuEgDKyy1B1b07sGoV8K9/AUeOAOPG3fmPptPpEB8fj+zsbPz444/o168fVq5cafNFbpXEwGoCNXUJ65ZRVWX5B6KC0tTjjTcsA0Z/+UvNrorDX6L06gF07fr3Zh2yUyfgk0+A996zLBq+cyewZYslwEpLgR9+sJzuwgXg3nstJSxYYGlRRURYgq8l9enTB1u3bkViYiIWL16MMWPG4LvvvmvZk6gUA6sJ1BpYP9/lwDGsasePA3/+s6VZ4+lp2Xf9Oto+Go2gffFwdm5ed6za7NlAXh4wcaJle+JEYPny2tc7dgR+9zvg1ClLYLm6Nn6cluDg4IDZs2cjJycH3bp1Q0hICF5++WVUVDR+QcFeMLCaQC1jWI89ZhkArvbzfaRsYVXLyQGmTgUmT67dt2AB4O8Ph+f+X4ucwsur9u+hoZZTVncHHRyAZ5+t/x5r69ChA9asWYP169dj9erVGDZsGPbv32+7AmyMgdUEamlh+fsD/frVbjOwbhARAaxfX7u9axfwf/8H6PVAmzZWOeXzz6tjsegpU6YgMzMTw4cPR1hYGBYtWoTSukuN2wkGVhOoZdD9RgEBwLVrtb0fusFLLwHR0cCQIVY7RXBw/dtMlOTt7Y1Vq1YhLS0NmzZtwhdffHHrD2kMp5dpAoPBgI4dO9Zsm81mvP766/jtb3+Lu+66S7G62rQBvL0VO736ffwxYKXHqR59tPbvdbvpajB69Gj07t0bR48eRUREhNLltCi2sJrgxi5hQUEBPvnkEwwcOBAbN25UpKabXVZvdcxmy0h4UVHD1/z9gXbtbF6SGqhl3LWlMbCaoKSkBG3qjIF06NABGRkZeO211xAdHY0xY8bgxIkTNq2pscvqrU5JCRAZCfz3v8DixcC6dUpXpBpqGXdtaQysW1i1ahWOHz+ON954A2vWrKnZX/eysq+vL+655x6bP1l/42X1Vue99yz3Gjz3HLBiBbB2bfOfoWmGa9cs92SpEQOrlamoqEB0dDT++Mc/IikpCXq9Hs8//zxCQ0Px7bff1ryvY8eOWL9+PT7++GP885//xJAhQ5CRkWGTGm+8rN7qnD5d/7Kpn19tP9kG9u0DnlDpc+dqvVB0pxhYjSgoKMDYsWOxdetW7N69G5MnT0ZERAS+++47DBw4EPfccw8WLlyI8vLyms9MnToV2dnZGD16NEJDQ232ZL1aLqsrIjAQyMys3S4oAHx8bHZ6NT8WxTGsViInJwcjRoyAk5MTMjIyMGjQoJrXfHx8oNfr8fnnn+Ojjz5CUFAQtm/fXvN69ZP127dvr3myPi0trUXqEgE+/xyIj6+/X02X1W3u6act41eLFgFRUUCcbVfBUXNg2WuXkAup1vHZZ5+Jh4eH/OY3v5Hy8vJffK/BYJD4+HhxcnKSqKgouXr1ar3XKyoqJCEhQZydnSUiIkIKCgqaXdeWLSLDhol4eIgsXixiMjX7UPbJYBCx0irSv2T5cpH777f5aZtkzJjfy4EDeUqX0eIYWD/797+zRafTyauvvnpbS6gfOXJEhgwZIh06dJCkpKQGr584cULGjBkj3t7eotfrb6um5GSR4GCRdu1EliwR+ZGrqKvK66+LPPSQ0lU0VFEhAohkZSldSctr9YFVUSESE2NpvXzxxZFmHaOyslISExPF3d1dpkyZIt9//32916uqquStt94Sd3d3efTRRxu0xm60bZvIiBEirq4i8fEiV640qyyysiVLRKZOVbqKhoqKLIGVZ38NLGnVY1iXLgFhYZZHzg4fBqZMuadZx3FyckJcXByysrJQXl6OAQMG1LvFoU2bNpg/fz6ys7Ph5+d306s32dnZeO65I5gwAejb1zJhXEICoKKFnakOtY5hVc/iocba7pSqAmvZsmVYsWIFcnNzrX6ugweBoUMtV8L37QP69LnzY/bs2RNpaWl499138eabb2LYsGE4dOhQzesBAQFYuXIlXG+Yd+TUqVOYNWsWQkJCUFLyH2RnA++/b3lWkNTsCvz9rypdRAP2/FC8qgLr8uXLePvttzFgwAB07twZUVFRWL16Nc6ePdui5/nPf4AHHgBmzQI+/bRln96oe0NpUFAQ7r//fsTFxdWsKVjXqVOnEBkZiX79+qGiogLZ2dlYvfpN9P/lRV5IJa5cWQBAfY8YVP+q2eFtWOq8Svj999/L6tWrJSoqSjp37iwApGfPnjJ37lzZuDFHLl5s3nFNJsuYkJubyAcftGzNN7Np0ybp1q2b9OzZU9LS0kREJD8/X2JiYkSn00l4eLgcOHDANsVQi3r88cdl0aJFSpfRwJ49Is7OSldhHaqcraFbt26YM2cO5syZAwD47rvvsH37dmzfvh1vvFGOvXst9wyOHWv5M3p0w/sFy8osz9l5e1seDi4psTwnu2OH5dadsDDb/CyTJ09GZmYmXnjhBUyaNAlTpkzBzp070atXL3z22WeYXHeyOdIUtd5NrtaxtRahdGLeLrNZJDtb5J13RKZPF/H1FXF0FBkyROSPfxTZvFnk+nWRTz8V6d5dxGgUOXNG5PnnFS5cRN5//31p3769rFu37rZunSB1CgsLk7ffflvpMhrYuVNk0iSlq7AOVY1hNYWDAxAUZHnedcMG4MoV4ORJIDYW+Okny5za1cu2qe3h4KKiInTt2hUzZ85UfBVpunNqvZt89Ghg82alq7AOVXYJb1fPnpY/s2dbun0iQGqq5eHg9HRg/HilK7TYsWMHxowZo3QZ1ELUGlj2THMtrFtxdKw/fbdaHg42mUzYuXMnA8uOqPEBY3uf2NHuAutGank4+PDhwzAajXjggQeULoVaSElJCS5duqR0GfXY+8SOdtElbIza5tzesWMHhg8fDg8PD6VLoRaSkJCAZ599FmfPnsWSJUsa3BCslOqxWzubzh1AK2hhqcWOHTswduxYpcugFhQdHY19+/YhPT0dvXv3xoYNG5QuCYB9T+zIwLKBiooKfP311xy/skMhISHYv38/YmNjMWvWLEydOhXnz5+3eR03zsytlrHbltZqAmvrVuBXv1Lm3AcOHICIYOTIkcoUQFbl5OSE+Ph45OTkoLS0FEFBQVi2bBnMZrPVz52bC8yYYXnMrK66Y7effw7s2WP1UmxD6RvBbOXcOZE2bUQOHbL9uV955RUZO3as7U9MNmc2myUpKUnuvvtuGTVqlBw7dswq5zl6VCQ8XMTJSSQqSiQ39+bvfeUVEZ1O5He/Eykutko5NtNqWlhdu1rux3rvPdufm/dftR51H37v2bNno/P/34m8PMvKZvfeC7i6Wqa0X7Om/locN3rpJcv0SZmZlhlAVq5skVKUoXRi2tLGjSJeXiIlJbY7p9FoFGdnZ9mzZ4/tTkqqkZqaKt26dZM+ffrItm3bmn2c8+ctE03qdJaW1f79t38Ms1lEr7fMYDtpkuWRNa1pNS0sAJg61fJQ6Pr1tjvnN998A2dnZwwfPtx2JyXVCA8Px7fffovp06djwoQJmD17Nq5du9bkzxcVFeF///d/MWdONo4csTzBkZoKNOfXycEBiImxjHu5uwMDBwJLlzYcsFezVhVYTk6Wx3dWrbLdOXfs2IFRo0bByclub3mjW3B3d0dCQgK++uorHD58GAMHDqy3KG9jjEYjEhIS0LNnT6SkpOC55y5i/35gwoQ7r6djR8uXtl4PJCaa8OSTv6u31qaqKd3Es7VTpyyzO+Tk2OZ8I0aMkNdff902JyPVq7uaUnh4eIP5/41GoyQkJIiPj48EBwdLSkqKVWf2uHr1usyePVucnZ1lyZIlUlZWZrVztYRWF1giImPHivzhD9Y/T3FxsTg5OcnBgwetfzLSlJMnT8qYMWPEzc1NEhISxGAwSGJionTu3Fl69eolycnJYrLhem67d++WwMBACQgIkC1bttjsvLerVQbW2rUifn4it1h68LZUVFRIQUGB/PDDDzX7Nm3aJD4+Pjb9xSPtqKqqkrffflvc3d0lKChIfHx8ZOnSpWIwGBSppyXX0rQWBxERpbultlZWZrnMe7P7OI1Gy412RUWWJ9+Limr/FBcDHh7/QU7OChQVFaGoqAjFxcU1c7b36NEDZ86cAQAsWLAAp06dwsaNG23xY5FGnT17FufPn8egQYPg5eWldDk4efIk5s2bh8zMTCQkJCA6Olo187e1ysC6lQsXLJMEensDd91l+ePlVfv37t33wcHhAO666y54eXnhrrvuqven+pduyJAhmDNnDp577jkFfxqi22cymfDOO+8gLS0NmzZtgqOjOq7PMbCs5OrVq2jfvj2ysrIwcOBApcshsgvqiE0FWHuis6+//hr+/v4IDAxs2QMTtWKt9uagLVuAP/wBOH4cuHzZMn/Qm282fJ/R2HAsq6zsHC5eTEFRUREKCwtrxrLqbl+5cgVDhw6FiKim/0+kda02sIDGJzr7/e+BbdtqQ6qiovY1Z2fLGNb99zvg8uX/1IxZeXt7o1+/fvW2S0tLMX/+fLz00kt49dVXbf2jEdmlVh1YjS1S8cgjlquH1QPsdQfea5eg6wpg7y2P37t3b4wdOxY9evTA3LlzW7p8olanVQcWYJno7M03AX9/y3ZLPPpQbeTIkVi5ciWio6PRt29fhNlq9VYiO9XqA8vai1TMnj0bWVlZiIyMREZGBrp27Wq9kxHZOd7WYANmsxnTpk3D+fPnsXv3btUtDUWkFa32tgZbcnR0xAcffICqqirMnj0b/I4gah4Glo14enoiJSUFu3btwp///GelyyHSpFY/hmVLAQEB2LBhAx5++GH0798fM2bMULokIk1hC8vGHnjgAaxYsQJPP/00Dh48qHQ5RJrCQXeFPPvss0hNTcWBAwfQvn17pcsh0gQGlkKqqqowceJElJaWYvv27XB2dla6JCLVY5dQIU5OTli/fj2uXLmCmJgYpcsh0gQGloK8vb2RmpqKlJQUvP3220qXQ6R67BKqQFpaGqZOnYoNGzYgPDxc6XKIVIstLBUYP348EhIS8OSTT+LYsWNKl0OkWmxhqci8efOQnp6OAwcOwNfXV+lyiFSHLSwVWbZsGTw9PbFhwwalSyFSJQaWiri4uECn0+HSpUtKl0KkSuwSqkhWVhZCQkJw6tQp9OjRQ+lyiFSHLSwVWbt2LR544AGGFdFNMLBUoqqqCmvXrsVTTz2ldClEqsXAUon09HQYDAZERkYqXQqRajGwVCIpKQnTp0/nbKREv4DzYalAYWEhPv/8c2zatEnpUohUjS0sFUhOTkbHjh0xZswYpUshUjUGlgokJSVh5syZXCGa6BZ4H5bCcnNzERgYiBMnTqB3795Kl0OkamxhKWzdunUYOXIkw4qoCRhYCjKZTEhKSuK9V0RNxMBS0M6dO3Ht2jWunkPURAwsBSUlJeHRRx9Fu3btlC6FSBN4H5ZCrl+/jo0bN2Ljxo1Kl0KkGWxhKWTDhg3w8fHBuHHjlC6FSDMYWAqpvvfK0ZH/CYiaivdhKeD06dPo06cPjh8/jr59+ypdDpFm8OtdAevWrcOwYcMYVkS3iYFlYyKC999/n/deETUDA8vGSktL4evry1lFiZqBgWVjbm5uePjhhzFr1izk5eUpXQ6RpnDQXQEigieeeALZ2dnYu3cvvLy8lC6JSBMYWAopKSnBqFGj0KlTJ3zxxRdo06aN0iURqR67hArx8PBASkoKDh8+jBdffFHpcog0gY/mKKh79+7YuHEjHnroIQQFBWHmzJlKl0SkamxhKWzUqFHQ6/WYO3cu9u/fr3Q5RKrGMSyVmD9/Pj788ENkZGSgS5cuSpdDpEoMLJUwm82YNm0aLly4gF27dsHNzU3pkohUh11ClXB0dMQHH3yA8vJyPPXUU+D3CFFDDCwV8fT0RGpqKnbu3InXXntN6XKIVIdXCVUmICAAGzZswPjx49GnTx9EREQoXRKRarCFpUJhYWF466238Jvf/AZZWVlKl0OkGhx0V7FnnnkGmzdvxoEDB+Dv7690OUSKY2CpWFVVFSZOnIjy8nJs27YNbdu2VbokIkWxS6hiTk5OSE5OxuXLl/Hb3/5W6XKIFMfAUjkfHx+kpKTg008/xfLly5Uuh0hRDCwN6N+/P1avXs0BeGr1OIZFRJrBFhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGQwsItIMBhYRaQYDi4g0g4FFRJrBwCIizWBgEZFmMLCISDMYWESkGf8fULoFlnBBlDsAAAAASUVORK5CYII=\" alt=\"Mol\"/>  1.6109  474.587\n",
        "1   1351311       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356                                                                                                              <img 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\" 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\" alt=\"Mol\"/>  3.2395  473.599\n",
        "3     80636       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O    0.866667                                                                          <img 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\" alt=\"Mol\"/>  1.2687  460.560\n",
        "4     80694  CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O    0.838710                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         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\" alt=\"Mol\"/>  0.9734  504.613"
       ]
      }
     ],
     "prompt_number": 59
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.groupby(data['mol'] >= qmol).describe().unstack()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th></th>\n",
        "      <th colspan=\"8\" halign=\"left\">logp</th>\n",
        "      <th colspan=\"8\" halign=\"left\">molregno</th>\n",
        "      <th colspan=\"8\" halign=\"left\">mw</th>\n",
        "      <th colspan=\"8\" halign=\"left\">similarity</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th></th>\n",
        "      <th>count</th>\n",
        "      <th>mean</th>\n",
        "      <th>std</th>\n",
        "      <th>min</th>\n",
        "      <th>25%</th>\n",
        "      <th>50%</th>\n",
        "      <th>75%</th>\n",
        "      <th>max</th>\n",
        "      <th>count</th>\n",
        "      <th>mean</th>\n",
        "      <th>std</th>\n",
        "      <th>min</th>\n",
        "      <th>25%</th>\n",
        "      <th>50%</th>\n",
        "      <th>75%</th>\n",
        "      <th>max</th>\n",
        "      <th>count</th>\n",
        "      <th>mean</th>\n",
        "      <th>std</th>\n",
        "      <th>min</th>\n",
        "      <th>25%</th>\n",
        "      <th>50%</th>\n",
        "      <th>75%</th>\n",
        "      <th>max</th>\n",
        "      <th>count</th>\n",
        "      <th>mean</th>\n",
        "      <th>std</th>\n",
        "      <th>min</th>\n",
        "      <th>25%</th>\n",
        "      <th>50%</th>\n",
        "      <th>75%</th>\n",
        "      <th>max</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mol</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>False</th>\n",
        "      <td> 104</td>\n",
        "      <td> 2.074994</td>\n",
        "      <td> 0.778351</td>\n",
        "      <td>-0.0483</td>\n",
        "      <td> 1.549950</td>\n",
        "      <td> 2.10405</td>\n",
        "      <td> 2.586725</td>\n",
        "      <td> 4.4372</td>\n",
        "      <td> 104</td>\n",
        "      <td> 795393.692308</td>\n",
        "      <td> 546222.400768</td>\n",
        "      <td> 28710</td>\n",
        "      <td> 304713.75</td>\n",
        "      <td> 562140.5</td>\n",
        "      <td> 1441476.25</td>\n",
        "      <td> 1575540</td>\n",
        "      <td> 104</td>\n",
        "      <td> 493.938654</td>\n",
        "      <td>  45.641263</td>\n",
        "      <td> 391.453</td>\n",
        "      <td> 462.61600</td>\n",
        "      <td> 491.0795</td>\n",
        "      <td> 518.88700</td>\n",
        "      <td> 624.701</td>\n",
        "      <td> 104</td>\n",
        "      <td> 0.595978</td>\n",
        "      <td> 0.052087</td>\n",
        "      <td> 0.5</td>\n",
        "      <td> 0.566521</td>\n",
        "      <td> 0.600000</td>\n",
        "      <td> 0.626866</td>\n",
        "      <td> 0.734375</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>True </th>\n",
        "      <td>  90</td>\n",
        "      <td> 2.538528</td>\n",
        "      <td> 1.107499</td>\n",
        "      <td> 0.3034</td>\n",
        "      <td> 1.620075</td>\n",
        "      <td> 2.65905</td>\n",
        "      <td> 3.322050</td>\n",
        "      <td> 4.7317</td>\n",
        "      <td>  90</td>\n",
        "      <td> 709987.411111</td>\n",
        "      <td> 449869.213609</td>\n",
        "      <td> 80558</td>\n",
        "      <td> 410694.50</td>\n",
        "      <td> 488009.5</td>\n",
        "      <td> 1334760.50</td>\n",
        "      <td> 1376119</td>\n",
        "      <td>  90</td>\n",
        "      <td> 478.837244</td>\n",
        "      <td> 124.968717</td>\n",
        "      <td> 268.320</td>\n",
        "      <td> 386.95875</td>\n",
        "      <td> 504.5910</td>\n",
        "      <td> 558.42875</td>\n",
        "      <td> 866.980</td>\n",
        "      <td>  90</td>\n",
        "      <td> 0.670030</td>\n",
        "      <td> 0.113819</td>\n",
        "      <td> 0.5</td>\n",
        "      <td> 0.567983</td>\n",
        "      <td> 0.691176</td>\n",
        "      <td> 0.753623</td>\n",
        "      <td> 1.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 60,
       "text": [
        "        logp                                                                   molregno                                                                                    mw                                                                            similarity                                                                 \n",
        "       count      mean       std     min       25%      50%       75%     max     count           mean            std    min        25%       50%         75%      max  count        mean         std      min        25%       50%        75%      max       count      mean       std  min       25%       50%       75%       max\n",
        "mol                                                                                                                                                                                                                                                                                                                                 \n",
        "False    104  2.074994  0.778351 -0.0483  1.549950  2.10405  2.586725  4.4372       104  795393.692308  546222.400768  28710  304713.75  562140.5  1441476.25  1575540    104  493.938654   45.641263  391.453  462.61600  491.0795  518.88700  624.701         104  0.595978  0.052087  0.5  0.566521  0.600000  0.626866  0.734375\n",
        "True      90  2.538528  1.107499  0.3034  1.620075  2.65905  3.322050  4.7317        90  709987.411111  449869.213609  80558  410694.50  488009.5  1334760.50  1376119     90  478.837244  124.968717  268.320  386.95875  504.5910  558.42875  866.980          90  0.670030  0.113819  0.5  0.567983  0.691176  0.753623  1.000000"
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data['containsQ'] = data['mol'] >= qmol"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 61
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.head(2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>molregno</th>\n",
        "      <th>smiles</th>\n",
        "      <th>similarity</th>\n",
        "      <th>mol</th>\n",
        "      <th>logp</th>\n",
        "      <th>mw</th>\n",
        "      <th>containsQ</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>  410802</td>\n",
        "      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     <img 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\" alt=\"Mol\"/></td>\n",
        "      <td> 1.6109</td>\n",
        "      <td> 474.587</td>\n",
        "      <td> True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1351311</td>\n",
        "      <td>    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n",
        "      <td> 0.881356</td>\n",
        "      <td> <img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td> 2.8494</td>\n",
        "      <td> 459.572</td>\n",
        "      <td> True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 62,
       "text": [
        "   molregno                                                        smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        mol    logp       mw containsQ\n",
        "0    410802  CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      <img 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\" alt=\"Mol\"/>  1.6109  474.587      True\n",
        "1   1351311     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356  <img 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+Y/JNm9vb0pISDDrceuUmWmcw6r6bxYTQ7RmjZgsTwAurMeUmppKvr6+FBQURFqt1mT7mDFjyNbWlsaOHUvbt2+36GRzZibRoEFE3boRnT7dPPssLi4mjUZDgYGB5ODgQFFRUZSSklLv95SVlVF0dDQ5OjrS6louWGRlZdGQIUOoQ4cOdPjw4eYJ+hju3btHtra2j8xvVps3E40YQTRmDNFf/kIk4GLEk4ILqwEKCgooLCyM3NzcaM+ePURENGDAAHrjjTcoPT1dWK6KCuMvbgcHomXLGr+f8+fPU1RUFLVq1Yq8vb1JrVbT9evXG7SPDRs2UIsWLWjq1KlUXFz8UM4KWrRoEalUKlKr1WSwwOXRK1euEAC6deuW2Y9FRERHjtwfTbFmx4XVQJWVlfThhx+SSqWitWvXEgC6cuWK6FhERLR+PdHIkb/TW2+9RSVVl9EfoaKiguLj4ykkJIRsbGwoJCSEtm/fTpWVlY3OcfHiRXr66aepT58+dPny5Rqvb9++nVxdXWnChAl0x0znspWVlbRjxw4aMWIEderUiXbt2mWW45g4d47Iyck4omJmwYXVSMnJyZScnEy2trZUXl4uOk613377jZ555pk655Oq3LhxgxYtWkSenp7k6upKMTExdOnSpWbLUVRURJGRkeTi4kLx8fE1Xs/IyKCBAwdS165d6XRzncsSUV5eHn366afUuXNncnJyounTp9MHH3xAKpWK5s+fb77T9fx8oq5did55xzz7Z0TEhdUkmzdvJm9vb9ExaigtLaXp06eTo6NjjQnoqkl0lUpFvXr1Io1GQ4WFhWbLEhsbS46OjhQVFVXjgkXVvJeDgwMta8K5rMFgqP657Ozsar04UDUH2a9fP/OcvoeHGyfXH/zlVVlJ9J//GM/ZWbPgwmqCzz77jIYPHy46Rp1iY2PJycmJIiMjac2aNTRo0CCysbGh0NBQ2rVrV5NO+xri1KlT1KVLlxoXLKps2bKFWrVqRVOnTqW7d+8+9n6Liopo2bJl5OfnV12K9U2u37p1i0JDQ6lt27a0e/fuxvwotfvqKyI3N+MVkActXkzk7k5k5iuj1oQLqwneeecdev3110XHqNfRo0fJ19eXPD09Sa1W07Vr14TkqO2CxYPOnDlDAQEBdOzYsUfu69y5cxQVFUUuLi7UqVMnUqvVdOPGjcfKYTAYSK1Wk1KppOjoaKpo4uinuPg03fnnaKIft5q+sHUrkUpFdPRok/bPTHFhNUFoaCgtXrxYdAwTx44do7S0NJNtQUFB9OWXXwpKdJ/BYKBly5aRvb09xcTE1JhPqm/EV3VxYMiQIaRQKGjcuHGUlJTU6FHi/v37ycPDg0aMGNHoEq+oyKUzZ7woK+uvpi/8/juRqyvRp582ar+sblxYTeDv70+xsbGiY5gIDw+nuXPnmmxzc3OjnTt3CkpU04kTJ8jHx4eCg4MfWRYPXhxo27YtxcTE1HrlsTHS09NpxIhBlJo6nO7ebeiH2Svp8uVQunRpNBE9UJrl5UQDBxKFhhrnsFiz4o/mNBIRSXJhzoc/hlJUVIS8vDxJ5QwKCkJKSgrs7e3Ru3dv7Nu3r8Z7fvrpJ0yePBleXl5ISkrCsmXLkJ2dDbVaja5duzZLjs6dOyM5ORlubj1x6dJw5Ob++7G/NyfnE5SUnEbnzt/hwU+4ZV2PQdE4D+PTF234r1ezE92YcpWTk0MA6OrVq6KjmHBzczO55+jMmTOkUCge+74sS6qaT1KpVLRo0SIqKioijUZDffv2JScnp8e6w7653LmzjU6fdqXLl8eTXn+n3veWlKRRaqqK8vNNJ+5v3dpAp045UknJr2ZMat24sBrp6NGjZG9vb7ErbY+jsLCQANCFCxeqt23bto3atWsnMNWjVd1I6u3tTZ6enrR48WLKzs62eI5793R08WJ/Onu2K5WUpNXzTgMVFu432VJaeoFOnWpJN2+uMGtGa8erSjaSTqeDt7c3bCQ07NfpdFAoFCaPUpHiM9cfNn78eFy8eBG5ubno0aMH7OzshORQqXzQvfvPyM6Owf/+70B4eX0FN7fptbxTAWfn4OqvDIYSpKdPRuvWk/DUUzMtltcacWE1khSLQKvVol27dnCselgcBD+8rgHatWtn8tA9UWxsHODl9QVatAhCRsbbuHv3ILy9VwEAtNpXYTCUwmAogZfX53ByCgQA5OaugsFQCm/v5SKjWwUurEaSYmHl5bXD6NFvmWzTarUICAgQlEi+2rR5DQ4OAcjOng+icty5sxnOziPh7h4NwACDobT6ve7u0XB1fRm2tq3EBbYS0jmfkRkpFtaZMwNA9A+TbSUly9CjxwxBieTNyakPunVLhK1ta9jY2OPu3SOoqLgGwAY2Ni2q36dQKKFS+YgLakW4sBpJioWl1QIPRzp+vBM6dPAWE+gJ4ur6ChwcuuPSpRG4dGkIysuvio5klbiwGqGyshJXr16VfGHdugUUFdUsMdZwCoUdPD3/iaefvow2bSJx8+bnoiNZJS6sRsjKykJFRYXkCkunMy0nrRawtQW8vIRFemKUl2eByPhMeju7jgBkutSRzPGkeyNotVo4OzvDzc1NdJRqeXk1R1NarXGhVkF3CTxRSkt/hVYbCRsbRxDp0anTOhDdw61b38HN7Q1wgVkGF1YjCF02qg46nbGYHhxN1TanxR7NYCjDlStj4en5EVq2HAIAaNXqBbRq9YLJ+0pLzyE7ez7y87eiU6dYKJVtRMS1KnxK2AhSnHB3dQU++ghQPvArSKcDfH2FRZKtjIw3UVFxE05Ovet9n6Pj0wgIOA+iCpw/74+iopqfiRTBEsupicKF1Qi1jbASEhJw5swZMYEAdOkCzJtnuo1HWA2Xl/cfFBTsRJcuW0xuXTAYymp9v1Lphm7d9qBduz/j8uVQXLu2GIDBMmEfUFFRgfXr16Nfv34ICgrC5MmTUVhYaPEc5saF1Qi1jbCOHz+OgQMHYu3atYJS1eToCPTsKTqFfJSUpOLq1Wj4+HwNB4ce1duLi4/j3Dlf6PW36vhOBTw8YtCly2bk5n6FK1cicfeuZUrr9u3b+Oyzz+Dn54dZs2ahb9+++OSTT3Dt2jU8/fTTOH78uEVyWIzoDzPKTUlJCbm7u5NGo6nxWtWHeF988UWzrQbDzKSggHQ/BZNO96bJ5vLya/Trr+3o2rV/PtZu7t3T0b/+dbhZ14mszYPP5h88eDDFx8ebPMO+oqKCYmJimvy8fKnhwmqAlJQU8vf3py5dulCbNm1o+/btNd5TtQpy9+7d6ddf+TEjshEWRobhQ6iy8v5jeAyGCrp0KZh+++15MnlI3yNUVBAtWmR8QrJaTdRcyy+WlRHFxx+igQMHkp2dHU2ePJn2799f7/ds27at+peouVcitwQurMdw7949io6OJqVSSTExMVRaWlq9wMOjVoOpbSRmTseOEdnbE1WtfzpnDtHJkxaNID9LlhgXkcjIMNmclfVXOnPGhyoqGrcI644dRG3aEE2aRNSUAXdGBtH8+cb1LJ577hp99NFHlNOAhS10Oh0FBQU9Eb9EubAeIS0tjXr16kVdu3alow8tKFC1GkxgYGCtS0c9uApyQ1aDaYpjx4j8/Yn+/nfj11xYj5CURKRUEj200GrloZ/o4k9eVFiY3KTdZ2YSDRpEDT5FrKggio8nCgkhsrMzriKWlNT40VppaWn1L9Gvv/66cTuRAC6sOlRWVpJarSZHR0eKjo6usex6larVYNq2bVvr6sIXL16kgIAA8vf3p3Pnzpk7Nh07RvTnPxMNHWpcMZ0Lqx7Z2UTt2hEtWGC6/epVoqeeIsOS/9cshykpIZo+nWjWLOPX9Y2Cb940nk526GAc9C1aRJSV1SwxiIho/fr11b9E6/ozLWVcWLXIzMyk0aNHU4cOHSgxMfGR769aDUalUlF0dHSNlaCLioooIiKCWrZsSRs3bjRXbCIy/mWYO5doxQrjGp5cWPW4cIFo2jTThU5LSoiefZbopZeab/Lp/1Q9nLauUfC//03UsiXR008b//8rKmrWw1e7cOEC9ezZk/z9/en8+fPmOYiZSKqw5s+fT0uXLhX6nPSEBKLhww/SxImTGjRPQER08OBB8vT0pOHDh9f6iF+NRkMqlYqmTp1qtmesVxVWcTHR8OFcWA02cyZRly5Nm3R6hLpGwSkpRI+YQ282hYWF9Morr5CzszNt2rTJMgdtBpK6D8vDwwMbNmyAj48PRo0ahbVr16KgoMAix87NBcLCgBkzgNmzh+HHH7fCw8OjQfsYNmwY0tLS4ODggN69eyMpKcnk9aioKBw9ehSHDx/G0KFD8fvvvzdL9vx8YPdu021OTsCQIcBDEVh91q8HYmOBLVuA1q3NeiiFAoiMBL799v62wEAgONish63m7OyMTZs24bPPPsO0adMwY8YMlJeXW+bgTSG6MWuj0+lIrVZT9+7dydbWlkJCQig2NpaKzDRG3rrVeAVm7NjmWVVcr9fTokWLyM7OjhYtWlRjoYq8vDwKDQ0lFxcXSkhIaPRxTp4k+uMfiZyciAIDjUviVY2wiIxTNHZ2PMIysXUrUXAw0ZgxRPPmma4deOgQkQXWmZTaKPjkyZPUqVOnOi8eSYkkC6tKZWUlHThwgN566y1ydXWlNm3aUEzMUjpwoHnWqLx923j1xcmJSKNp9ikL+umnn8jd3Z1Gjx5N16tmWP+PXq+nhQsXklKppL/97W9keMyD375tvLenRw9j7qgo46kEewxXrxINHmycpyIiev99onXrLB7jwV8q8+cT9ewp/pdKXl4ePf/883VePJIKSRfWg8rKymjLli00Z85ucnAg6tiR6C9/IUpNbdz+kpOJfHyI+vY1zr2aS2ZmJg0aNIg6duxIR44cqfH67t27ad68eY/cz+nTxnJydibq3Jlo2TKzTrM8mZYvJ1q58v7XV68ah9UWJtVRcNU6kUqlstaLR1Igm8J6UGkp0fbtxtGRSkXk5UUUHW0c0T+orsvHJ04Y/5D86U/GfZlb1cck7OzsSK1WP/ZoSq/X05YtW+iPf/yGFAqiESOM9+ZI8M+RPCxYQLRt2/2v9XqiPn3E5ZGo/fv3k4eHR50Xj0SSZWE96Pp1oi+/NN6cp1AQBQUR/c//3J/Pqe3yscHQ+JFZU2zZsoVatWpFEydOrPezhjdu3KCPP/6YvLy8qGXLljRrVjSdOdPM56vWaPlyolWr7n8taIQlB1qtlvr160c9evSgigdv+xBM9oX1oPR0oo8/Nn4UgkiaN1FeunSJevXqRd26daO0tPurCxsMBkpKSqJx48aRjY0N9e7dm2JjY00+0MqaKDPTOIdV9d80JoZozRqxmSSsrKyMWrduTUlJSaKjVHuinjjauTPw17+abqvt8rFI3bt3x4kTJzB79mwMHDgQf//732FjY4O1a9ciMzMT06ZNw4kTJxAYGCg66pPHywuYOxd4/nlApQKefRZ4/XWLxyACgoKMd1FI+fE/ZWVlyM/PR8eOHUVHqfZEFVZdXn8dGDsW6NNHdBIjBwcHrF69Gr169YJarUZlZSWmT5+Ot99+G97evCSXWb30kvEfgXJygNRUwMVFaIxH0ul0UCgUknocuFUUVtVNlNu2Aa+9JjrNfQMGDMDt27eh0+nQvn170XGYhWi1gL094OkpOkn9dDodPDw84ODgIDpKNUnd6W5Os2cDly+LTmEqLi4Of/jDH7isrIxWC3h7AzYS/9snxbULnugR1sCBxn8A428zKX3yQK/XY9OmTfj8c16Q09rI5Vn7UiwsiXf8kys5ORklJSWYNGmS6CjMwriwGo8LS5C4uDhMmDABTk5OoqMwC3t4hW6p4sIS7JNPgAULRKcASktLsWXLFkyZMkV0FCYAj7Aaz6oKq3174LvvRKcAdu3aBZVKheeee050FGZhen0lbGyuoFMnaS92mpubi+LiYi4skV54AcjKAs6dE5sjLi4OYWFhsLOzExuEWdzVq5lIT+8GX987oqPUS6fTwc7OTlI3jQJWVlhPPQX07w/s3CkuQ35+Pnbt2sWng1ZKq9XC2dkZbm5uoqPUS6vVomPHjlAqpXUjgVUVFgCMGwfs2CHu+Fu2bEH79u0xbNgwcSGYMFqtVlJ3jtdFivNXgBUW1vjxwPHjwM2bYo4fFxeHyZMnQ6FQiAnAhJJqETxMqjmtrrB69TLeZZyYaPljZ2dnIzk5mU8HrZhUi+BhUh0JWl1hAcbJdxHzWAkJCfD390fv3r0tf3AmCXIpLJ1OJ8mcVllY48YB//2v5T+qExcXh4iICMselEmKTqeDr6+v6Bj1MhgMyMjI4MKSipEjjc8kOnjQcsf87bffcPLkSURGRlruoExSSktLcf36dUkWwYNycnJw7949Sea0ysKytwf27QMGD7bcMTdt2oQBAwZI/rcrM5+KigoMHjwYu3btAhGJjlMnrVYLR0fHBq/LaQnSusnCgoKC6n+9pMT0KaUKhenamkqlHs7OBwAA9vb21Z8JdHZ2hlKphK2tLXx8fKrfHxcXh5kzZzZTeiZHLi4u+PjjjzFlyhQcPHgQ69evR9u2bUXHqkGr1cLHx0eSV7KttrAe5e5d4Ouv739tMAAPLkLdpo0Bv/8+GYDxUbKlpaUm3+/p6Yns7GwAwKlTp3DlyhWev2IYMWIE0tLSEBkZiT59+uD777/HoEGDRMcyIeULA1ZbWMePG5cFz8gA2rUD3nvP+DTSfv2Mr7u7Aykp9e1BBeB2ja1FRUXQ6/WweeDpbHFxcRg1ahTc3d2b8SdgcuXu7o7ExER89NFHCA4Oxj/+8Q/MmzdPMiMaKReWVc5hVfH1BVasaN59Ojs7w9XVFa1atQIAVFZWYuPGjXzvFTOhVCqxePFi/PDDD1iyZAlefPFF5Ofni44FQLq3NABWXlhjxwLJyUBZmfmOcejQIdy5cwcvCV74gEnT+PHjkZaWhpycHPTv3x+//vqrsCz37t3D+vXrkZubC39/f2E56mO1p4RA7UuAnT9/f+Wnli0BOzvA1vb+CidV21q3LoBC8Un197Vq1ar6NNDR0bH6wf2bN29GaGgoXKS+RAoTxtvbGwcPHsS8efMwcOBAqNVqzJkzx2LHz8jIwKpVq7BmzRoYDAa89957eOGFFyx2/Iaw6sICai4B5uYGREUZ//3uXaCiAtDrgaIi020GQwUyMtKr91NQUACDwQAAKCkpwb179wAYb8KrrJT2s4+YePb29vjiiy8QFBSEt99+G6mpqVi5ciVatGhhluPp9Xps3boVX3zxBY4ePYrRo0fj3//+NyZOnAiVSmWWYzYL0Su5inLsGNHcucZ/nz+fqGdP86wKnZ2dTW3atKGVK1c2/87ZE+nixYsUEBBAfn5+dO7cuWbd982bN2nRokXk6elJLVu2pOjoaLp48WKzHsOcuLCIKDubyM7OfMvYb9y4kZycnOjSpUvmOQB74hQVFVFERAS1bNmS4uLimry/pKQkCg8PJ5VKRQEBAaTRaKigoKAZklqW1RaWpUVERFBgYCCVl5eLjsJkRKPRkEqloqioKCorK2vQ9xYXF5NGo6G+ffuSUqmk8PBwOnTokJmSWoaCSMKfEXiC5Ofn45lnnkFUVBQWLlwoOg6TkdTUVISHh8PV1RUJCQmP/HhXeno6vvjiC8TGxkKlUmHWrFmIioqCp9SXmn4cohvTmuzdu5fs7OzoxIkToqMwmcnLy6OxY8eSi4sL/fDDDzVe1+v1FB8fTyEhIWRjY0MhISEUHx9P9+7dE5DWfLiwLGzmzJnk7+9PJSUloqMwmTEYDKRWq0mpVFJ0dDSVl5dTbm4uqdVq6tKlCzk5OVFUVBSlpqaKjmo2fEpoYSUlJejTpw9CQ0N5mXrWKLt27cK0adPg5+eHs2fPwsXFBTNmzMBbb70lyScsNCcuLAGOHTuGESNGIDExEaNGjRIdh8lQRkYG9u/fD2dnZ0ycOFFyq9uYCxeWIAsWLEBsbCzOnj0LV1dX0XEYkwUuLEH0ej0GDx6MHj16YMOGDaLjMCYLVv3hZ5GUSiViY2OxefNmxMfHi47DmCxwYQnk7++Pf/7zn5g1axZycnJEx2FM8viUUDCDwYDRo0dDpVIhMTFRMg9xY0yKeIQlmI2NDdatW4fjx49Do9GIjsOYpPEISyLWrl2Ld999F6dPn0b37t1Fx2FMkriwJCQsLAzXrl3DoUOHYGtrKzoOY5LDp4QSsnLlSqSnp0OtVouOwpgk8QhLYrZv346wsDAcOXIEQY9aPJExK8OFJUERERHIz89HYmKi6CiMSQqfEkpQr169kJeXJzoGY5LDhSUxpaWl+Oqrr/Duu++KjsKY5HBhScw333wDBwcHREZGio7CmORwYUmIXq/H0qVLMXfuXNjZ2YmOw5jkcGFJyPfff4/i4mK8+eaboqMwJklcWBJhMBjw8ccfIzo6Gk5OTqLjMCZJXFgSsXPnTly7dg2zZ88WHYUxyeL7sCRiwIABCA4OxpIlS0RHYUyyrONB0BJ34MABnD17Ftu3bxcdhTFJ4xGWBDz33HPw9fXFypUrRUdhTNK4sARLSUnBoEGD8Ntvv6Fz586i4zAmaVxYgoWFhUGlUmHjxo2iozAmeTyHJdD58+fx448/4tSpU6KjMCYLPMIS6I033kBubi527twpOgpjssAjLEEyMjLw3Xff4eDBg6KjMCYbPMISZM6cOTh9+jQXFmMNwCMsAW7evInVq1fjhx9+EB2FMVnhj+YI8OWXX8LPzw9jx44VHYUxWeERloUVFBRg+fLlvAYhY43AIywLW7VqFdzd3REWFiY6CmOyw4VlQaWlpfj888/x/vvv87qDjDUCF5YFpaenw8XFBa+++qroKIzJEheWBbm7u6OwsBArVqwQHYUxWeL7sCwsKSkJ48aNw+HDh3mhVMYaiAtLgHfeeQf79+9HamoqHB0dRcdhTDb4lFCApUuXwmAwYOHChaKjMCYrPMISJDU1FUOGDMGePXswcuRI0XEYkwUeYQkSGBiIefPmYdq0abhz547oOIzJAo+wBNLr9RgyZAj8/PwQGxsrOg5jkscjLIGUSiViY2ORkJCAhIQE0XEYkzwuLMH8/PygVqsxa9YsXL9+XXQcxiSNTwklgIgQGhoKIsKePXugUChER2JMkniEJQEKhQKrV6/GyZMnsXr1atFxGJMsHmFJyHfffYcZM2bg9OnT6Natm+g4jEkOF5bEREREIDMzE4cOHeInOjD2ED4llJhVq1YhKysLn376qegojEkOj7AkqOoD0keOHEG/fv1Ex2FMMriwJGrWrFn4+eefkZKSwh+QZuz/8CmhRH322WfQ6/X429/+JjoKY5LBIywJ4w9IM2aKR1gSxh+QZswUL/MlcQsWLEB5ebnoGIxJAp8SMsZkg08JGWOywYXFGJMNLizGmGxwYTHGZIMLizEmG1xYjDHZ4MJijMkGFxZjTDa4sBhjssGFxRiTDS4sxphscGExxmSDC4sxJhtcWIwx2eDCYozJBhcWY0w2uLAYY7LBhcUYkw0uLMaYbHBhMcZkgwuLMSYbXFiMMdngwmKMyQYXFmNMNriwGGOywYXFGJMNLizGmGxwYTHGZIMLizEmG1xYjDHZ4MJijMkGFxZjTDa4sBhjssGFxRiTDS4sxphscGExxmSDC4sxJhtcWIwx2eDCYozJBhcWY0w2uLAYY7LBhcUYkw0uLMaYbHBhMcZkgwuLMSYbXFiMMdngwmKMycb/B/hUc5n+nCphAAAAAElFTkSuQmCC\" alt=\"Mol\"/>  2.8494  459.572      True"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.boxplot('similarity',by='containsQ')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 63,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x7f883e07f1d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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fxqNDDQAAhewnUD8+yRVJ3pPkWbs8/t1JLu6+Lk1yY5KjQw0IYzlxohl7BIBq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\nnvPWJD/fPffVaa9BOUn7iaB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       "text": [
        "<matplotlib.figure.Figure at 0x7f883e076e90>"
       ]
      }
     ],
     "prompt_number": 63
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "conn.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 64
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "More useful RDKit stuff here: \n",
      "http://www.rdkit.org/UGM/2012/ and \n",
      "https://github.com/rdkit/UGM_2013"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}