{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# myChEMBL iPython Notebook Tutorial"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A Chemoinformatics taster using the RDKit toolkit and cartridge, the ChEMBL database and Pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### myChEMBL team, ChEMBL group, EMBL-EBI."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### myChEMBL publication (Open Access): http://bioinformatics.oxfordjournals.org/content/early/2013/11/20/bioinformatics.btt666.abstract"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Start with something relatively easy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "print 'Hello World!'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1+4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import IPython helpers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%pylab inline\n",
    "from IPython.display import Image\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import RDKit libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "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"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simple RDKit stuff - Molecules, descriptors and similarity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Molecule from SMILES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "smi = 'CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4' #sildenafil\n",
    "m = Chem.MolFromSmiles(smi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xQrLPlZEBjB0rXPo1MJCsDMkplTegr28qdRmMaR2fETKNvP468OabwmNfX2Ei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\njDHG2rT/B6ieBINQvgVuAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f505e05e2f0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Simple descriptors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "474.5870000000004"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Descriptors.MolWt(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "113.41999999999999"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Descriptors.TPSA(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Descriptors.RingCount(m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Output to various text formats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Chem.MolToSmiles(m, True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'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)'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Chem.MolToInchi(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "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"
     ]
    }
   ],
   "source": [
    "print Chem.MolToMolBlock(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's add 2D coordinates...\n",
    "Chem.Compute2DCoords(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "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"
     ]
    }
   ],
   "source": [
    "# The mol block has been updated\n",
    "print Chem.MolToMolBlock(m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Fingerprints and similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fp = Chem.GetMorganFingerprintAsBitVect(m,2,nBits=2048)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'00000000000000100000000000000000000000000000000000000000000000000000000001000000100000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000010000000000000000000000000000001000000000000000000000000010000000000000000000100001000000000000000000000000000000101000010000000010000000000010000000000000000001000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000010000000000000000000010000000000000000000000000000000000000000000000000000000000000000100000000000000000000010000000000000000000000100000000000000000001000000000000000000000000000000000010000001000000000000000000000010000000000000100000100000000000000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000100000000100000000000000000000000000000000000000000100000000000000000000000000010000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000001000000001000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010100001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000010000000000010000000000000000000000010001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000100000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000101001000000000000000100001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000000000001000100000000000000000001000000000000000000000000000000000000000000000000000010000010000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fp.ToBitString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "61"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fp.GetNumOnBits()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2048"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fp.GetNumBits()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "smi2 = 'CCCc1nc(C)c2C(=O)N=C(Nn12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(CC)CC4' #vardenafil\n",
    "m2 = Chem.MolFromSmiles(smi2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fp2 = Chem.GetMorganFingerprintAsBitVect(m2, 2, nBits=2048)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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4eDgSExMxbNgwlJeXIyYmRkvV3t+xY0CPHkBdpiuVQLdugBY6UT6CZOja9XMA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\nGJM0DkLGGGOS9v8BdbA60Ku9eSEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f505bff2050>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ZCguXUk3NNbX28ST/+AdRQMAxio2NbXEbN2/epOjoaHJzcyNDQ0MaOXIkJSQkUG1trRor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\nkDHGmE77f+R8X3rEqjfnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f505e05e2f0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DataStructs.TanimotoSimilarity(fp,fp2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Similarity Maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<matplotlib.figure.Figure at 0x7f505bf7d1d0>, 0.14414414414414412)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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y9jPmuqt9fT5zKgnZHD50mF8+9yLXrb+GGXMnk9JxUk6chB3LLCedeE4sVGsH\nANMI0Da3jrY5jRw/0MmmZ16nuqaaWzaso66mwYuVusLpaPc7UirtJfAnGGWTt3JzrrPfcfYT5n/D\n2SNQ4HkiosIXlS+QgE6U+vBR+HI3fL+Fkb5k+sUy/8JaONlofPwpSlo57r7K4Kb1N/KjH/yEbW+9\ny8prl7t7KIP5C+Zy4UI3T/zol9zz8HpKyi0cbeEoC0cFcAyb9lktvPbsDgxl4viOP9Q/QsepC9xw\n+wpXzLQ34dDXO0BlVXlG5PKTfzKxXO9dj5fJmt1K5vla54una3k6TpK33tzGe++9zz0P3UJdUzkJ\nJ+oNtTbKmVNnOXLoOENDwwwPDxMdHmU0Fqe6sYzJ0+tpmVZLWWkZpueanjKnhrbZazmy5yw//f7T\nbLjvJtrb2jMlEk3cmwlDm6Cyn0nrrP8g812M+VT+xDEy23OylTMmr8psu5RWWTieKgiffb5AAip8\n8uTHN/PFtlCsTI+zX67dY5kW991/D//6Lz9kUnMjU9pbSSfArLt+NaFwgMd/+Dx3PXwTFTVhL2nG\nxlEW02dN5l+OPAsoDGW670EpPthxlLmL27CCZkY4NTaj8VHi8TiR8hLXulPpbiMG4OSKBGnLMxed\n9yi3y0q2Rm26q0oiMcrzz71Af18fX/vm3YQipjdEW4yOrg62bd7FhfM9tM9rpKa1hPpQmGCJQSBk\ncP5sP8eOnOLtVz+grqmSmfNbmTanlYAVImiWMHPJJKrqy3juyZe49rqrWbx0ofuZlMbyLFKls6Pg\nZPuQpt+xXwiz31S+yIK/C03u5H6XaRex/3hijQpfHL6gAvpRrVFp4JfOeFKSn1Qydv/8tfkX8YqK\nSu6463Y2Pr+J3/rdX0MZ3gDeymTFymWEwkE2Pvk6X/03GzCVhaNsDGUxffZkhgdj9J4boraxInPk\njlPd3HzXCs+tm3WFJhI2hqmw7RSmZWWcrW4ph3RKTdYlq3DQGden34YmTzj9UVCf9altNj7/EraT\n4iu/sgHT0sSdKEMj/by5+R2OHDrOvOWTWX7LVFI6wag3ULjtJElph+rJASpbG5mdrKP3bIz3th3i\nzMlzrLhhLpFwEq1t6lpK2fDwal5++l2i0Rirr10BhvKsT9zzmGOJZj/deN+vyhHH7HJWOA3ftuzN\nR6EUpMK/HUH4fPEFLOV3JVy5H5c7+MuAP4Y41jLJt1JUzmMjZ1mhmDatnarKSg7uO+ytMzMiumjx\nfEpLSzm4Lkn4AAAgAElEQVS094QXz7QwlUVTSwOR0jAnjnR5VpZ7zKqaMgb7hsnGJN2RWEpKg9TU\nVXLi2CnGVgTKdeEWcutmLUu/lZkt2ZcdIcVdv2vHbrq7u7n1zuswLUjpJP39vfzs+8+RtEe58+sr\naF9YS0JHGRjppaOzk6OHTrF351F2vnGIYx+eYTDaSyw1SGWLwfI7WxkaHmLTE9vp7e8mlhxiNDVM\nSaXBhodXcXDvEV596Q1i8REckmh/iUCv36njKyE43jS2bKBN7qgwNv5EqfxzlVs2UBA+/3yOBTT/\nAlboMlfsH3nz3C2FXvvLw/hCmCuJhZbzRZO8PbOP/a+16tqVvP3WO6DTW7OW6NobrmH71j3YKe0l\nzCiUUrTPaubEobMZK9PRNtV1ZVw434vtpLCdZGZKOUmmz53Cgf2HsdOF2L0CBjn9NdPJO1pnxkXN\nxFEzk7sOnd3ff4yzZ8/w5ta3ufO+WzADClsnGYkO8fRjLzLnqslcfeNsVCDF0Mggb2zcw9Pfe5tt\nmw7y4d4Oei70k3BG2fv2KV599AAH3ztD/+AACSfG/BsaqJwU4IVH36Wjo4t4Kko8FSVQAhseWs1I\ndJjv/8OjvL9nHyknjq2T2DqJQwJHJ7C9KaUTbuJSzrI72b79cgrZZ4pAZIvhZz974VblkmutfzqT\nIBTP59SFO/aHr3PW6wn3nZiJswclgnMlGeveze2D6C61t0/FsiyOHD7KjFlt+K2+Sa0N1DdWs/vd\nfSxcMQ1bu4LYPqWWk+8eJvFrq3C0jUJRVhvi6L6zrjvUSGGb6WHPbKbOaGTb5l3E4iOUhNzX10pj\neF949k7T8F7bgMJj7DLW8nKThkaiI/ziyedYf/v1VFaXktQxRhMxfvH4Jlra6pm7bCqx5CCnT57j\njRd2U91cwg2PzCHpjBJLREk5KRzHoWlOhP5zMToPD3F8z4dMnVvDnKubabuqmsqaUl57eg9rbtXM\nmDUVywwQKolw3Yal9HbF2P76B+zesZd1N62kpXUSlhnAH9v1igFnvoXcb8tEKcOtcIThGwPWG0XH\n8w6o7BN8rvlstu/FXbj5vwtB+GzyORXQQoyNPRXePjGXJo4ioZfO+CKT3V74u8leiBWrVq/g3e27\nmD5raq5nQGtWXb+UH3/vSRqnVlBeG8LWCeYPRXl3xzES9iiOTgGKspoAnWcv0NPXQ1VVpSueXiH6\nQCRETWM5+z7Yz5KlizKlBP1vxiAd5fSKECjliejYFKJcP4iDo1M8/8xGZs+bwYzZU0k6URyd5IVn\nX6OsqoRla2cTSw3x/s4j7N52kAVrW6icFCSWiBJPxhlNJkimkkQHEwQjBqEqg7YVleikwbF3+tj1\nygmW3DyF2illLC9v4+2X9hGwAkyfOTXj+q5tKuPeR27k2KGzvPDcqwwNjBAIBgkFgwRCFsFQAMsy\nMU0DwzQwDIOq6nLqG2uoa6yluroy02/WUCaGzo7/qglgKv/3qjN3m15VY+9hbkegwr+RQr+HKyWo\n0naFK8cXQEDzrc20eBbX4PzSO/7oFGKHfnTyz60u8D+9Daqrq4jH497+/u4hDmdPdVJdV05pRQjH\ns0C/8rWV/NnOY7yUimF7Ahosg1lLm3jmR1tZvm42sxe0EfQVb19x3Tw2PvE2lVXlzJg+031l5dnF\nWqFVOjnG+/51oQhIoSCAw+FDhxkYHODuB2/xYo8pzpzuoKvjPA/+xs0knGHOnOzkg+0fsu6+uRBK\nEI2P0HNhkK6TvZw7M0BfVxStNWV1QdpXVGFaBsGAxaw1Nex96RynDl9g2hyTstpylq1vY+umD6iu\nraC2xhM8ZWAog/bZk5g2pwVQJOM2yUSK0dFREokEyWSCZNJ2R8xJpRjoHWLv3v10v9JPIp6idcok\nrr1uGfUN9V7XmICXiJR2uJukz1J+G1GZc+f/DcDE7elKW6LSdoUrh9J6/B+oUkpHo9FP8O1cKmNd\ntNmLlX97sY2vUDzOvzU/zV8aZC4XP++6wFLusF3++KHN8ePHeOvNbTz0K/dik6CuZDqmEbjybx0Y\nHB7g/RMvM3nK5GwfSq8QQzrRKR2HHfsZID+BpqvrHE88+jS333MTU9qa3apC9ghP/Ow5WqfVMmNh\nM0OxPn72Ty8w/9oWKptNovEh9m4/xdG95ylrsAhXKyK1JkZQcXxHP9H+JNNWVVFWGSIUsIgP2Bze\n2su6B2dSVVFFaaiCzkPDdBwZ5I6vXktpuJyQFSFolmIqy02uUt7nUAonHStOxzI9d67/hjI56nB0\n/xne23aIGbOnsnrdcsrLqtwyiSqEaQS9sVzTY7pameL2hi8BLJuP68/khcLt6ONy5UrbFS6NSCSC\n1oXjNZ+LJKLxk3wmSvsZWzYtv4B3/tBR+SNkkHMcf7JS7itKckI+E2ffZi+duVNh3HM5Eo0RLgln\nhPXjEk+AirJKfvHzFzhz9jQpPZpJqkkn3tg6iU0Sm4Q76eTYpBvHnY4dP8rPfvIE162/huYp9SRt\nt0jC6dNnOH/uAtPnt2DrBHt3fkhVXYSmqZU42uHcqQFOHexl2YZWZq6spa6thGDExDAUU5dVUNUa\n4vDmXkb6kmigvC5I3ZQSjuy4kLHMpy1soLy6hG2v7CPlJUulqxolnRgJO0bCjhJPjTCaGiaWGiKW\nHGQkMcBIot+bDzCc6Gck0Y9txph+VRP3fnMdtkrw/X98jLff2k4sMUTCiZFyRrMJSuksXe2AdrIJ\nVgXaR6EUo4na+vhtdqJp4uvHxImCglCYz6kLN9/CLCSihffLP0q2b1qa9Bo3VuO3N7OjjEycaCRc\nWTSaWCxKScQVUAf7Y3/Na9cv4unHN/LAI3fQUN/o3Wp6I5ko5Y0Sk3ZJpt3JQDozF4fDhz7k5Y1b\nuP3uG2htbyJpx9DYJO0Er2x6k+Vr5oJhMzw8wgc7PmTdvfNwtM3I4Ch7tpxm4XXNhEoNYvEk4IZc\nlQLTMGieU064LMCRN3qYvbqOxqllTFtSw56NF+jtGqG0rRxQLL9hBq8/uY+dWw8wc14b9XV1WJY3\neDiQSqboPtdP94U+BvqGSCaTJFJJ7GQK23GobaygZXot5RUlmOmC/FaQxWvbmbWole2v7ufsqS7u\nvH89kVC5W8jeOxNuwlF+n1FdoOWMFwcf226LD88UGkFmbBKbIFwOnzMBnSjeWdgS9e9b6EhjRdTf\nUZycJp8btRMR/eTQDPQPUlZemukq8XHTOqOOFcn5PPGT51ly9ULmzJ1FXW19xnVroDIDiaf/UskE\nF8730NVxnsOHjtLfN8idD95AQ1MNSWc0M9bnm6+/SzCsaJ/XRMqJc2T/SSa1VVNWHSKaGObkgfNM\naq+guilCLBFz5Ucp4kMpgmWWV8sWaieHCQVMzuwbpGlqOVbIpG1RDacP9DK5rQnQmEGDNXfM58CO\ns7z27A5iw0nKK0spr44wPBhloHeYiuoIVXWlhCsCWEGNqcAwA2g0XWe72LVtP+FIgNb2BqbNbaG+\noRrLCBIsL+GGe5fy1qa9vPjL17njnvVopcHAO0cmWhkZAc1WJsptOWnGtiny2jBcvpgWrlasCiyJ\nmAqXy+dMQKFwwxrrmCFTBTXX/Ures8fGQnL7N/qtUL+MakREPwnS39SpU6e54eY1pCv5fNwk7Cjt\ncxuprC7j6P4OHvvRM0RKSpk5p52mSY0kRhPEonGisRgjwyNcON9Db3cfldXl1DfVMHtBG9PnTsYw\nFEkn5pZs0DaH9h3j4P6j3POrazOu3wvneqidVI6jXbcnSmMFfQk3Cvb8sovX/+kk01dXseCWBhpn\nR1BKYVgGgaDpxjOVorQqRP+ZkWxL0A6RiiAr18/GMgIox2Sgd4T+viFKyiZRXVcKpiZpJ3Imx7HR\nWlPbVs/MVTX0nx+h58wwmx7fxrLrZjJ9biu2ThG2HFatn8vzP9nGB+/vY+Gi+SitPPG00JkygQY6\nU5nIKNBilK9V5cZe8/Mc/OvGW8qcuHH8TLnVf/37+48l7VmYmM+ggI53R+lvJrkNyZ/wMHEFlPx7\n1nQj8Ufh0stG5uFYmcy1RcdzSglXhtHRGD09vUxqbvAq6TgXf9JHJOHEQEFNUymNzYu47pYVdHcO\ncPTwaXbt2E0kUkJJJExJJExDcxVzFk2luqESy0on5NikdAydcjIjqJw/183ml7Zx+4OrMUKapB33\nBLSfKfPbvf00hmngjLouUKUVW35wgm0/P8VVtzcy0pfg2e8coaw2yNwb6mhoK6W0IoRlWliGRUnE\nJDE66PbL9BKFAByvmIRpGlTUhSmrDWDrFCkngZ1KEk/FGRkeYXhohOGRKLFonMRoippJEUoqAoSq\noa2uksb2Mna8eIiBviEWr5wFQIllsO6Oxbz0xHYmNTfQUNeEaQZwsFGYpOOQrojqPKlMt5XxBTHd\nvsk80nnbc5/lx38TDNp1v/u2F3IjTySrguDnMyighSjUePxC6hfP8UqJOQUaZraB5ae1pO9Ps9uN\nMSLqzuVO9UqTa33AqVNnaW5uwrRMHCfxiQhoPBlzY5w6OwpmzaQyaifNI+sWVGjtZKoXJfQgsYSd\nqXyUmaOJjYzy3BObufr6eURqLOKpEWydIpGIM9g3REVNBFsnUEphWW62rx1X/OxPd3NyXw+/8t0l\ntM6vQGsYGUiwf/M59r5yju0/O0vz7AqMVJDFN7QSqQjhxLsJmiECRtAbYNvtwpINSDjYToqUkySe\njHPycBcHdp1ioG8EM6QwAg5WyMC0FHu3naasJkjLrCqa22sIlYVYcWcb7718iqG+GGtuWYwZsaio\nqWDJ6tls/MXrfO2b92IZQV97zCbyZIdRg7GOXEVuW4ccES1wQ3wxN+54xe5z23n21cWbJFwOnxMB\nhbEu2InFMyug/vnYi3OuSPqtT+3N0+4m9w7aZWyzE64s2cuj5tTJU0ye2kL6ux4cGIaKSzhIRwf8\n6Z/Cxo1w/jzU18OGDfCf/hO0tEz41Nee28n1G5ahg1lXqKWTY/azHTtbGlCnsB23D+XIcJT+3iH6\ne4cY7B2h41Q3U2c10TitjNHkEOk6vBcu9FFWFcYwwU5pDGUQDAboPj3Cz//bTgwT/uAfb6SszvIs\nW024PsyaB8pZsaGdtx47wUhfkuf/dj/P/Le9LLu5DdOwMFUAywxiZbqsGG7dBzSOdrC1zamj53jn\n1UOUlFtMu6qOykmtJJ048eQoKdu9AZi6rIJzx4f4cPc5DmzrZM7Vk5g6p45lt7VyYOsFXn5qJ7c9\nuBLLCDBzUTMdJ7vZtnUX192wxi3ppxyUr0YwGSs0G5nMHYZ97C9gbJjGGWc75LfHwuKZ7oqUH6LJ\nTzMSIRUm5jMuoPliV6iB5Vqb/tR1f1HwbB9D/5E12aGcxopnVibTpcjSjd3f6P0uKGlsVxoN9Pf1\ns2DKXPcb15qOs10snHyRJ544AatXw7Rp8MMfwowZcPQo/MmfwNVXw7ZtMGXKuE+3nSQvPrmdm+6+\nmkhEe5ZmEtCZxKFkIsn5rh7OdfTQ3zfI4MAwg/0jjAzFMC2D8qow5dUllFeVsODaFpomVxNNDrq/\nEu+nMtQ/RKQ8mInrKmUw1DvKU3+zkylzavi3/++NWCFI2km6jg9QP7UM7cCZQ30c293DvGtamXt1\nC4Yy2f9mB89/bw+nD3VzdM95bn5gCevvv5q6pvTdhsoI6LEDHezYfIhlN7dR0RBkNDnKaGKUuDdP\nOTaO4+BoTXmLxeyWGuIDDvu2nCFcYVDXVM6C6xp574VODu89ycIlYYJWiGuun8ezP36La65dRqgk\ngs65qdU5VqhfSPNvbHMFExjTjtMeJb+4+smGZLKlBPNDNdlyD/nxWEG4FD7jApqmQMyTrGSm70oL\ni6d/3ViXT7YRpxta2vJ0cZuSkXmdsUMES2P7eMie58GhIcrKI6R/B+fPd1/86b/7u2Ca8MorEAq5\n61pb4eWXYeZM+L3fg2efHffpy9dP5/03TvHLx95k6vRJmeID2tHEYnEudPUx2D9CRU0JVfURIpUB\nWieVEyqtJlxmYQWMTOxT4WbsRlODGJ41mK4KNDISxQobXoxSs+nHu/nR/7OZO399GVUNYXa9dJqa\nxhL2v3uW1356kF/9DytJjNqYlsHae2dTXVdBwAxgGhZBM8R9v7mSRddM581fHuSVJ3bzw//yCsvW\nzeKWh5az8ua5BEIm5zt62bnlCKvvmk24QhFPxognRxmJRuk5N0jPuUEGukeJDiSobSuhrr0ElCJY\nFqB1URl7XjvFNfdMRZUaTFtawwdvHWPWgsmEAiFKKippaKni4L4jrFhehc65ic31GmVbTqHEoHyr\nMy2a/racu80lNykwK57at5zd7g/NSEBGuFw+JwKaplD8099J2j9yRu4QS462GRoaZmBgEMNQNDU3\nZiux4Kssk996vJfM2psarXJjoNnEovQT8hP0QZrl5ZI9X8NDI5SVlWUed5/rnfipfX2waRN897tZ\n8UxTUuKK63/8jzAwAJWV47y8Zun10zh9sIfYSMrNeFUabTqU1Vi0zm6jojaMo2ySqQSJVIJkKkHK\nSTCciGFH3TFGHe1gGO7A3qZhYBgmpjIwTQvTMBkejmKFFInRBN/79su8+fxB/vCv7uTq9TNIJlKc\nPdbNE3+7jT1bTnDTwwsIqBDTFtcxeVYthmG6/TLNAHvfOk0yZnDzfUsJhcI8/JutfO23buXo3k42\nPv42//1PnuK///snWXvnIoIhk+u/Mp+q2lJGk1E0mqO7L3B4VyeBUkWoUlFWF6B6cpDT7w/SfSrK\n1OWVWBUGNVPC9HeO8uHObq5aU0pNUznhSD/HDnayaEklWjvMXzyDXVsPsnzZMjf5R/m9Rf5vN92G\nFfi36kLCqXPaMzo3XONWVHOThLJymG3X6cHD08dWOUmC6S42zhhBHT++Ku1Z+NwJKOTfxWbvPsda\nnD093byx+W26us4zNDREKBSgorKceDyO4zjMXTiLBQvnUFlV5TUb/5Qm3YiczHKh1IPsHbUkIVxJ\nHNsmFhultKzUi6XBhYsJ6JEj7oV7zpzC2+fNc7cfOQLLlxfcJT0c19S59W4SjmGhUKTsZKaqTyw1\nTH/fEKePXqCve5ih/ihDAzFiw0mUcn+ZgbBJOGJRUhakrDJMRXUJVfWl1NSXE7ACroAaJn/+vzxK\nT9cw3/7pI7TPaUIpRTSW5Ef/+Q26TvXz7Z/8Cu3zmsjcqim3p6WhTI7s7qT3bJTbHl5FpKTEi4Ga\nmIbFgiWzmLd4Or/3Hx5g60u7+dF/38SxA53s2nqEtffMY/mtUzh+qIvOowOsuq8dx0oSi8dI2ikc\nRzP7hgAdB4bZ/9IF2pdW0zKzkulXV/P+C+fonjZM6bQK5ixvZt9bJ1lw1Uw0mpa2Bra/tp+OM11M\nndKef2bxtzFdcF1u7sKYCmI6d9nB1zdYK1+mrdudRikTQ5uZsoJqTDtPt+ix/VSlHQsT8bkT0LEN\nLj8O6jasI4c/ZOPzL3H1ysWsXLuY0ooIVsC969TaoavzAgc+OMIPvvcY06ZP5cZb1lAaKfO9kspr\nQAq/iKatzlzhTL83EdGPSvqcJhJJAlYA0zDdS6ijGY3FL/LsK4EbK8RJoZWDoW20hoQdJxaLcuro\neY7v76Ln3DA1rRFKKk1qaoI0hEMESgy00iQTDvFoEjuhseOaWCxG/9EhDryTJFIWoryqlBPvd/Pe\nqydpmlrNn/7oIeqaqjENk9NHevju7zxKdX05//Wp36a6zq0spJQBGgZ6Rjh15AKnj1zACgTY8MA6\nKsvKMQwzO1qKMlEobJ3CLLFYsWYBXad6Wfu9Bbz45HZe/vkufvpft9AwuYKbf202RsDAdrwWpd14\nMwqa5pRS3hjg+FsDVDdFqKwO0760mpMf9DClfRK1zRUY5nm6z/UTmVyJUjBrfjsfHjrB1Clt3nHy\n8xnc/9mQiC8xUGnPwiwknjYODqPxGGdOn2Wgf4BQJEC4JEiktIRIaYSScNgTUYXjjRqjlYOB5d0o\nm2TFE8aWvi9U4VTasjCWz42A5qeu65w/nztH27zzzk7e3baTex+6nabmOnfQX217HdXdhtMwqZqG\nSStYdd1S3np9J7944gUefOQuAgHX5acyTdvXh8w3TSyejPNYuDSyFn44HMa2UySTScyAwjItKqsu\nkoI7Y4brytu/H+65Z+z2ffvc7TNmjHsIN1HIxsbB0e7FOJlMsXfHcQ69d4bSmgAN0yO0X1tOyk4x\nGo8zNDjKQN8oo6dTOFpTVh/ECIBVahKusqiwAgQCJQQMi5Fum8NvdrP16cOsvnMmD/9vq9n6zCGc\nJPSdG+HVJ99nyerp/OofrWe4J0l/Vw9OSpOIpzh7vBs76dA+q5lb71lDfVON113Fyo7X6YUnUGA4\nSWxtUFlViZOC2roqHvitdWz4tSW88/oBfvGP23niv7yHYSrm39DArHXVVE0OefVrwdGaksoApbVB\nhntGKa8KEi43OReNubVulaakLEg8lsi0yLLyErrPDmfaW/7/XBdu4ZhnvngeO3aCox9+yOlTZ+nt\n7aO+sYbKmjKiIzGi0RFi0VGGh6M0tzRy9erFtE6Z5NZM9lzISoOj/KPFFPrNpdt3+n2O17YF4TMo\noLrAUsG9dHqf7JSyU7y06RU6znbyyDe/QllFCTZJHGwcUp7rx31eumEHQyY33LqKXz79Ghufe5U7\n77kFQ/k6XyvtuQ4LCSn4xTN3nENpbMWS4yBXitLSUkaGY1RWl6EwqK2tnvgANTVw663wd38Hf/RH\nEA5nt0Wj7voNG6CqatxDdJ3sp2lqlWvFaOg80ct7bxwjUmlx9Z1TMEtsYokonce7+XBXD4M9oziG\nxgyCVWJgpxyGtycJlhlUNYepbY1QURMiZFsETYudm86x7fGT3PuHi7nx4QW8/9opJs+o5dgH3bz8\n2G7u+401LFk9i56OEYLBIEFv3M6K0jLmbJhJU3Oda21i5ozRqVAZ6yubAme6tXstRXVtJUN9cUpr\n3dhp25wGVm6YwaL1zex85Tjv/vIE7/7vZ4hUBlh4ez2L72ny2gOU1gSJ9qdQyiBUYpAYdTyhVoTC\nAeLxVKYFlETCREcu5JzT3LadziAg05YLi6dNbDTKyy++zpnTZ/jjP/iPhEMlF/sJXTaOthke7c3E\nbLPimb5S5EtqoRyHia5Zl4NcOz4vfOYEdCz5McmxD9Mrt7z2Jv19A3z1G/cTDJruOJBa+0aCcDLN\nFC/pwEFhKMUtd67jqZ9uYuvmbay9fjXZ/mHGGKlMvwVV8JGI55Uhff4VZeVljIzEqKouRymT2tra\niz/9b/4Grr0Wbr4Zvv1tN/P2ww/hW99yt//1X0/49P3bz3Dw3bNMv2oSpw5dYKg/yqI1UyhvtIgl\nopzrGGD/trOMDCZonBuh9epy4qkUiaQbO3QcTU3SYaQ7wUhviu4Pe6idXELzvHLe+qezdB0c5le+\nu5z517Ry5kgPveeG2fXyCfa/c4Y/+5dvsuqGRW5fTiOIqdwi7q5Aelm8uDE9J6Xp7x6mr3uQ3u5B\nersHGOgbYu7C6SxbuRBleGLqWdH1DbUM9oxS3VCD7SQxCBAMhigrK2XFbdNYcEMT58708tNv7Waw\nM0EoEMD2yvpV1obpOTFK0ApiBU2cBJheElNJSYjEqO3GG5VJaWmE0VjcZ8EVys/LunBzs+ld69/B\n5tTJUzz/7AtMaWvhkV+/72MRTwBDma41nZfn4BfSbPim0CCHV0o8hc8TnwMBzZL5iSrwl/YCOHu2\nk4P7D/ON33iYUCiI1imyd7WueDra3180nfHnJh+YlsVdX7mJx374PA2NdcyZOxv/aBvp5ynfXGKd\nnwSK8rJyhgaGoLUJA4PauksQ0GnTYMcO+PM/h298I1tI4Y474LHHoLl5wqff/vAyTp/o5tDus9S3\nVnDNbdNI6RQjsWE+eOMMZ4710jQ7zJSryxkeTtDTEaX/3CjDvXHiI66no3pGmHCVRVVVgNoZJZzd\nPsj2H3QQLLV46D8vpKW9kngswbubTrD/zQ7QBn/x+K8zfWYbpgoQMEJY3hQwQhjKJJlw6DrTQ+fp\n83ScvkDPhX4qK8upa6ilrr6GqUunECmN8NbmnTx19GVuv+d6IhUhlKNQhkFDYz3nz51nxoJmUk4S\nSwUxlUnICuM4NrZjU9dcwexVDXSfGSEUsEg5hltTt8zkQmKUYCBA0AoSCATQCQOzNEA4HCI16mB6\nY36WRCLEonHIuJP9fTD9FIiBelnzb7+5jR073mP97eton9lCyklczg+nCPJzK/x5DrkiOvazFLJA\nL0VU5drxeeaiAvqd73wns7xu3TrWrVv3sb6hQhRKP8jn6JHjLFg01xvyyvaJpLekfYlG/jR5BVor\nNDbhSJCVa5ewb+8RZs+ZhVbZ/bJ3yuNZnoUeC5dHfnEK96LbPq2NgwcOM3f+bJQymTV75qUdrqUF\n/uEfinonN6/7G37ZXoP69q3UTy7HdpI4SYeTB7vpPT/CkjuaGU1F6euOsu/lCxghhQorgjUWkRaT\neNSmY/cw5S0hqttCRDsS7N/YQ0mVxZp/20JJrUUyleLknn7eePwws5ZN4g/+8i7qa92sX8sIYhkh\nUjHo6uzm/Nl+Os/00N8zSGNTHa1TW1h33UyaWpoIhYKku2OleeiRyezYvpvHf7iR2+5ZR1NrLUob\nzJ0/k51v72XukqmUVIdpaqlD2wZdx4bQZpLSOotQIEhTewWH3+4mGAxg2jbxWJKTu/pomlpJ0AoS\nH3QyiTuWESA6lKR+WlnGAk3GU4TCoYsIZzaDPb+f564du9m39wBf//UHiJSFvPFYP14B9edZZOOg\n+fHQS71xvlSLVK4ZnzW2bNnCli1bLmnfiwrot9Iur0+FcX6EY1Zrzp7pYPnKxXk7pPuI+efac9Wk\nG60CZXtPUbROncSrm97GdlIoM52tl97T704W8fzYUYBWzF8wj82vvcHQ4DClFSV52dIfD2/dv5ie\nZ1SRrG8AACAASURBVN7nD2/7J2YvbWbNPbOZd+0kDr7byey1dTikGBmOc3BLN1XtYUoaLKLRFPG4\nje1ojIhB1ZwIPQejdO0eovuDKO3XV1I/J0xfR4yGKSne23iW1/7nh8xY1sDv/tVNRCJhVDqmicW7\nmw9yZO8ZWltbmDKllXnrF9Dc0kjACvm6ZGRd3f4YvQZWrV5JU9Mknn96E6uvX8rshW1UVlSxcu0S\ntr2yn/UPLaU0XMqa2xfy/I/f5om/fZs/ffJeyhtCtEyvprcjiqFN7JTDwdd7aJhSwazljQStIKeP\n9zJlVgNBK4RlBOjpGmLFmjovFmswMhSloqLcK2Y/VkTT7Sl7W5r1DHV0dvLm1m187Rv3EikL45DE\n8Uau+TjJLdeZtjv9rtuJRFTnHOlyXzk321/4NMk3FL/73e+Ou2+hfO3PEBP9mLLbHEfT1XmOSc1N\nPsslfVlRGRdSujN1pjaov4iCN3JFaVmEysoyOjsu5L3e+A1EF2gwuY7f3DUF47pfWsb7jtNJXIpQ\nqIS58+fw/p59pMeZ/LgZ/f1baX/r/+RvX/xd5i6fwpN/9w7/bsOjHHjb7XPppDRH3+6jsilEzdRs\nkpLjOCSiNslYCmVB9FyC7r1RGheXMvW6Cipbw/SfifP2v57mte8d5ebfmM2Sm6ZgWW4ikKlMtG2w\n+bn36O4a4Ju/fT/3PXwbq669mqlTpxAMlGCqACYBTBXAUG72raEsb567btq0dr76q/ez9bUdjAzE\nMVWQRUvmoTA5+kEnAbOE5pZGlq2dTTgSYP8bXZiEmDyjDu1A74k4+17tZtK0KuZd00w4GCZghjh/\nfIS22Y1YZpDkqCY5alNbW5mJ0w4NjlBRUTbmG8638vKn0dEYz/z8eW6+9Toqq8vdBECdwtZJLpzP\nb5NXmvxWmxsm8i8X2jP38eX8Tfw8uW58dvmMC6jLxPdkiu4LvZSWlRKJlOCTTUhXIfE6U2/e9A4/\n/9ELXiP39ZXLEVSDKe2TOXX89CUkCvhiqWP2+Ch3pF82/HffWWtF+f6WLl3Cnt170Q6oT0BA333l\nQwJGiKnTm/nGH9/MXz71TVZumElpZZgf/vt3+Pt/s43TuwepaAqRjNr0n4xxfu8InduH6dkb5dyO\nYQ799AJDJ+LM+3o9tbNKGDiZAA2n3xni+Dv9fPX/Z++94+y2zjvvL4Dby9w7vVfODDmsM+wUSRU2\nSZQoSlS3Zcu27OSN7cTJpqzj7CabunHax95snE2c2JZt2RJldVESJZoURUpsEuuQw+Fweu/l9gLg\n/QO34N65Q1KWZIuKn/lgABwAFwfAOc/vPOU8z980Ur+6EKNJikUqkoiEVfY9+y6SZGDng1ux2xza\n/EXBmJBMtX0D0bDMQO8wHW09zEz6QI155RJr37E2npefz8pVTRza/y4GwYTJYGXL9g2cfucywRkZ\nk2hj2ar5VNQV0Nc6yeGn2+lr9uLOt/Luy/2U1+ezcHU5FpMNs8GKZzSCxWomryAbo2hkasRPfnEO\nomhMhCr0zvhxupxXfMep1k9NM/Tqy69TU1dF/YIa4hHEZFWmq7OHZ5547SP+6unAyVW21bTtX2S5\n0vVz1/PX9PGg68qJKO4fl2xAGqP1er3Y7XZSc/+lSp0iItNTXr75P/+N2+66CafLjoqajEuKGOv8\nAoVF+bS3dpMZuvVjzdRQ2KlnZ1Lx/Fo9Mzclv2tyDm68XKCgsJC8vDzefusYG29e+5HXJhqG7pYx\nKhpyUVSF8UE/jRuqadhYQFfHIC98+yRTo36e/cNWnIUmsqst5C+z4aiwE5iK0vLUGIIgsODT+djc\nBgRZZfCEh4svjmMwiqz9VBnFdS58A1HMVmMsAIKB9/ZfIjc/h623b8AkmWOSpTEBnL3dA3S299Df\nO8ToyDj5+XlYLBZGhkeRJInKqnIqKstpWFSPKEmAggisXreSx//jJ7Q2d1G3qILCgkJWr2/kwIun\n2HbfKiwmO3VLyvF6fNz+8Eoune3F6jAjiQaWrK5EVhWMogGDZKSvZZh5C4sxSiYMkpHxoREKi3MT\nwC0g4vcFKCpMd9TSm0PSSaWvr5/R0THu2PkwKnIsJZxMMBTgtRcOsvXudVf/cB8gA89sJ8HZNc1c\nAvr2mzqovhLYpbb5zGYh/bm/po8bXQcSaIaGI+g3BcrKShkeHiUSic9D06tuk1Lo3Q/cSkFRLt//\nzjMJZ4e4NBqXQkVEwqFwQpq9uqNAZvVt5r1fjxyvTJned1wGFdlx1x2cb26h5XzbR16TTbet5dTb\n7USDYBRNuHOdhHwRJFEip8BBcb2LB/92Ebv+93yyyy0MnPFy+gfDnHt8hLPfHyGr3EzhSjtGu4Qg\nwERbgJ7DHnJrrCy7r4CsQguiIOCdCOPKtSEKEp7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iEPHg/ukBZpaW/xIaV7Lv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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f505bf7d1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from rdkit.Chem.Draw import SimilarityMaps\n",
    "SimilarityMaps.GetSimilarityMapForFingerprint(m2, m, SimilarityMaps.GetMorganFingerprint)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### For more RDKit examples: http://www.rdkit.org/docs/GettingStartedInPython.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using the RDKit database cartridge in myChEMBL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### SMARTS-based substructure search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sma = 'C1C[!#1!#6]1' #oxirane or aziridine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "from urllib import quote_plus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"http://www.smartsview.de/smartsview/auto/png/1/dynamic/C1C%5B%21%231%21%236%5D1\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(url='http://www.smartsview.de/smartsview/auto/png/1/dynamic/{0}'.format(quote_plus(sma)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import psycopg2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "conn = psycopg2.connect(port=5432, user='chembl', dbname='chembl_21')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cur = conn.cursor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "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",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cur.execute(sql1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1940080, 'C[N+](C)(CCCCCC[N+]1(C)[C@H]2C[C@@H](OC(=O)[C@H](CO)c3ccccc3)C[C@@H]1[C@H]1O[C@@H]21)CCCN1C(=O)c2ccccc2C1=O', 'CHEMBL3558234', Decimal('619.79'), Decimal('0.55'))\n",
      "(1940079, 'CC(C)(CN1C(=O)c2cccc3cccc(c23)C1=O)C[N+](C)(C)CCCCCC[N+]1(C)[C@H]2C[C@@H](OC(=O)[C@H](CO)c3ccccc3)C[C@@H]1[C@H]1O[C@@H]21', 'CHEMBL3558233', Decimal('697.90'), Decimal('2.31'))\n",
      "(1521972, 'CO[C@H]1[C@H]([C@@]2(C)O[C@@H]2CC=C(C)C)[C@@](O)(CCl)CC[C@H]1OC(=O)CCC(=O)O', 'CHEMBL2332344', Decimal('418.91'), Decimal('2.06'))\n",
      "(1591552, 'CC(C)C[C@H](NC(=O)[C@@H]1O[C@@H]1C(=O)O)C(=O)N1CCC[C@H]1C(=O)OCc1ccccc1', 'CHEMBL3038001', Decimal('432.47'), Decimal('1.55'))\n",
      "(1797500, 'C[C@]12CC[C@H]3[C@@H](CC[C@@]45O[C@H]4C(O)=C(C#N)C[C@]35C)[C@H]1CC[C@H]2O', 'CHEMBL3348889', Decimal('329.43'), Decimal('2.43'))\n",
      "(1589413, 'CC(C)NC(=O)Nc1ccc(Oc2ccc(S(=O)(=O)CC3CS3)cc2)cc1', 'CHEMBL2442884', Decimal('406.52'), Decimal('3.22'))\n",
      "(1589421, 'CC(C)OC(=O)Oc1ccc(Oc2ccc(S(=O)(=O)CC3CS3)cc2)cc1', 'CHEMBL2442892', Decimal('408.49'), Decimal('4.51'))\n",
      "(1589416, 'CCCOC(=O)Nc1ccc(Oc2ccc(S(=O)(=O)CC3CS3)cc2)cc1', 'CHEMBL2442887', Decimal('407.50'), Decimal('4.01'))\n",
      "(1589415, 'CCOC(=O)Nc1ccc(Oc2ccc(S(=O)(=O)CC3CS3)cc2)cc1', 'CHEMBL2442886', Decimal('393.48'), Decimal('3.49'))\n",
      "(1589420, 'CCCOC(=O)Oc1ccc(Oc2ccc(S(=O)(=O)CC3CS3)cc2)cc1', 'CHEMBL2442891', Decimal('408.49'), Decimal('4.66'))\n",
      "(1589407, 'CCNC(=O)Oc1ccc(Oc2ccc(S(=O)(=O)CC3CS3)cc2)cc1', 'CHEMBL2442878', Decimal('393.48'), Decimal('3.49'))\n",
      "(1589410, 'CNC(=O)Nc1ccc(Oc2ccc(S(=O)(=O)CC3CS3)cc2)cc1', 'CHEMBL2442881', Decimal('378.47'), Decimal('2.49'))\n",
      "(1795751, 'COC(=O)[C@]1(C)CCC[C@@]2(C)[C@H]1CC[C@]13C=C(C(C)C)[C@H](C[C@H]21)[C@H]1C(=O)[C@@H]2O[C@@H]2C(=O)[C@H]13', 'CHEMBL3343596', Decimal('440.57'), Decimal('3.74'))\n",
      "(1794380, 'CC1=C2[C@@H](C[C@@H]3[C@]4(CC[C@@H]5C(C)(C)CC[C@H](O)[C@@]35C)O[C@H]24)OC1=O', 'CHEMBL3342239', Decimal('332.43'), Decimal('2.70'))\n",
      "(1820044, 'CC(=O)/C=C/C1C(C)(C)CCC2OC21C', 'CHEMBL3355911', Decimal('208.30'), Decimal('1.99'))\n",
      "(1850887, 'CC(=O)Nc1csc(-c2cnc(/C=C(\\\\C)C[C@H]3OC[C@H](C[C@H]4O[C@H]4[C@@H](C)[C@@H](C)O)[C@@H](O)[C@H]3O)o2)c1', 'CHEMBL3434643', Decimal('506.61'), Decimal('1.26'))\n",
      "(1548659, 'C[C@@]1(C(=O)O)CCC[C@@]2(C)C3=CC[C@H]4C[C@@]3(CC[C@H]12)C[C@]41CO1', 'CHEMBL2374208', Decimal('316.43'), Decimal('3.38'))\n",
      "(1512920, 'COc1cc2c(c(OC)c1OC)-c1c(cc3c(c1OC)OCO3)C[C@H](C)[C@]1(CO1)[C@H]2OC(=O)c1ccccc1', 'CHEMBL2313859', Decimal('534.55'), Decimal('4.94'))\n",
      "(1512102, 'C=C(C)[C@H]1C[C@H](O)C(C)=CCC[C@@]2(C)O[C@@H]2CCC(COC(C)=O)=C[C@@H]1O', 'CHEMBL2313049', Decimal('378.50'), Decimal('3.07'))\n",
      "(1790955, 'CC1=CCC[C@@]2(C)O[C@@H]2[C@H]2OC(=O)/C(=C/c3ccccc3Br)[C@@H]2CC1', 'CHEMBL3334827', Decimal('403.31'), Decimal('5.11'))\n",
      "(1790958, 'C[C@@]12CCC=C(CO)CC[C@@H]3/C(=C\\\\c4ccccc4Br)C(=O)O[C@@H]3[C@@H]1O2', 'CHEMBL3334830', Decimal('419.31'), Decimal('4.02'))\n",
      "(1790961, 'C[C@@]12CCC=C(CO)CC[C@@H]3/C(=C\\\\c4cccs4)C(=O)O[C@@H]3[C@@H]1O2', 'CHEMBL3334833', Decimal('346.44'), Decimal('3.22'))\n",
      "(1788945, 'C[C@@]12CC[C@@H](O)[C@@](C)(CO)[C@H]1CC[C@@]1(CO1)[C@H]2C/C=C1/C(=O)OC[C@H]1OC(=O)CCl', 'CHEMBL3329954', Decimal('442.93'), Decimal('1.83'))\n",
      "(1610133, 'CC1=C[C@@H]2O[C@@H](O)[C@@]3(C)O[C@@]23CCC(C)=CCC[C@](C)(O)[C@H](O)CC1', 'CHEMBL3099355', Decimal('352.47'), Decimal('2.53'))\n",
      "(1618940, 'COc1ccc(-n2cc(CNC[C@@H]3C(=O)O[C@H]4[C@H]3CCC(C)=C3C[C@H]5O[C@@]5(C)[C@@H]34)nn2)cc1', 'CHEMBL3115956', Decimal('450.53'), Decimal('2.72'))\n",
      "(1618941, 'CC1=C2C[C@H]3O[C@@]3(C)[C@@H]2[C@H]2OC(=O)[C@@H](CNCc3cn(-c4ccccc4[N+](=O)[O-])nn3)[C@@H]2CC1', 'CHEMBL3115957', Decimal('465.50'), Decimal('2.63'))\n",
      "(1618950, 'CC1=C2C[C@H]3O[C@@]3(C)[C@@H]2[C@H]2OC(=O)[C@@H](CNCc3cn(-c4cc(Cl)c(Cl)cc4Cl)nn3)[C@@H]2CC1', 'CHEMBL3115966', Decimal('523.84'), Decimal('4.73'))\n",
      "(1618951, 'CC1=C2C[C@H]3O[C@@]3(C)[C@@H]2[C@H]2OC(=O)[C@@H](CNCc3cn(-c4ccccc4)nn3)[C@@H]2CC1', 'CHEMBL3115967', Decimal('420.50'), Decimal('2.73'))\n",
      "(1618954, 'CC1=C2C[C@H]3O[C@@]3(C)[C@@H]2[C@H]2OC(=O)[C@@H](CNCc3cn(-c4ccccc4Br)nn3)[C@@H]2CC1', 'CHEMBL3115970', Decimal('499.40'), Decimal('3.48'))\n",
      "(1618957, 'COc1cccc(-n2cc(CNC[C@@H]3C(=O)O[C@H]4[C@H]3CCC(C)=C3C[C@H]5O[C@@]5(C)[C@@H]34)nn2)c1', 'CHEMBL3115973', Decimal('450.53'), Decimal('2.72'))\n",
      "(1590037, 'CCCCCC1OC1C/C=C\\\\CCCCCCCC(=O)O', 'CHEMBL2447889', Decimal('296.44'), Decimal('5.42'))\n",
      "(1168216, 'C=C(CO)[C@@]12O[C@@H]1[C@@]1(C)C(=CC2=O)[C@H](OC(=O)C(O)(CO)CC(C)CC(C)C(C)O)CC[C@@H]1C', 'CHEMBL1813185', Decimal('480.59'), Decimal('2.20'))\n",
      "(1699307, 'COc1cc(C(=O)O[C@H]2CC(C)=CCC[C@]3(C)O[C@@H]3C(O)C2C(C)C)cc(OC)c1OC', 'CHEMBL3210016', Decimal('448.55'), Decimal('4.15'))\n",
      "(1819357, 'CC1=C[C@@H]2[C@H](CC[C@]3(CO3)[C@H](OC(=O)Cc3ccccc3)[C@H]3[C@@H](OC(=O)Cc4ccccc4)[C@@H](C)C[C@]3(O)C1=O)C2(C)C', 'CHEMBL3355231', Decimal('586.71'), Decimal('5.50'))\n",
      "(1828705, 'O=C(OC[C@H]1O[C@@H](O[C@@H]2OC=C[C@@H]3[C@H]2[C@@]2(COC(=O)c4ccccc4)O[C@H]2[C@@H]3OC(=O)c2ccccc2)[C@H](O)[C@@H](OC(=O)c2ccccc2)[C@@H]1OC(=O)c1ccccc1)c1ccccc1', 'CHEMBL3394884', Decimal('882.86'), Decimal('6.64'))\n",
      "(1594544, 'C[N+]1(C)[C@H]2C[C@H](OC(=O)C(C(=O)OC3CCCCC3)c3ccccc3)C[C@@H]1[C@H]1O[C@@H]21', 'CHEMBL3084653', Decimal('414.51'), Decimal('1.79'))\n",
      "(1595090, 'C[N+]1(C)[C@H]2C[C@H](OC3c4ccccc4CSc4ccccc43)C[C@@H]1[C@H]1O[C@@H]21', 'CHEMBL3085199', Decimal('380.52'), Decimal('1.92'))\n",
      "(1594991, 'O=C(O[C@@H]1C[C@@H]2N[C@H](C1)[C@@H]1O[C@H]21)[C@H](CO)c1ccccc1', 'CHEMBL3085100', Decimal('289.33'), Decimal('0.29'))\n",
      "(1616391, 'C1=C2CCN3Cc4cc5c(cc4[C@H]([C@H](OC[C@@H]4CO4)[C@H]1OC[C@@H]1CO1)[C@@H]23)OCO5', 'CHEMBL3113433', Decimal('399.44'), Decimal('0.96'))\n",
      "(1844845, 'C/C(=C/C[C@]12OC(C)(C)[C@@H]3C[C@H](C1=O)C1OC14C(=O)c1c(O)cccc1O[C@@]342)C(=O)O', 'CHEMBL3427452', Decimal('426.42'), Decimal('1.66'))\n",
      "(1925376, 'CC(C)CC(NC(=O)C(CCc1ccccc1)NC(=O)CN1CCOCC1)C(=O)NC(Cc1ccccc1)C(=O)NC(CC(C)C)C(=O)C1(C)CO1', 'CHEMBL3542249', Decimal('719.91'), Decimal('3.80'))\n",
      "(1925131, 'C[C@]12CC[C@@H](O)C[C@H]1CC[C@@H]1[C@@H]2CC[C@]2(C)[C@@H](c3ccc(=O)oc3)[C@@H](O)[C@H]3O[C@]132', 'CHEMBL3527424', Decimal('400.51'), Decimal('2.21'))\n",
      "(1925299, 'CO[C@H]1[C@H]([C@@]2(C)O[C@@H]2CC=C(C)C)[C@]2(CC[C@H]1OC(=O)N[C@@H](C(N)=O)C(C)(C)O)CO2', 'CHEMBL3527591', Decimal('440.53'), Decimal('0.80'))\n",
      "(1841756, 'CC1=C(CO)C(=O)O[C@@H]([C@@H](C)[C@H]2C(=O)C[C@H]3[C@@H]4C[C@H]5O[C@]56CC=CC(=O)[C@]6(C)[C@H]4CC[C@@]32C)C1', 'CHEMBL3422314', Decimal('468.58'), Decimal('3.01'))\n",
      "(1840991, 'O=c1c2ccccc2oc2cc(OCC3CS3)cc(OCC3CS3)c12', 'CHEMBL3417778', Decimal('372.46'), Decimal('3.85'))\n",
      "(1243626, 'CC1CN1P1(=O)OCC(C)([N+](=O)[O-])CO1', 'CHEMBL1903055', Decimal('236.16'), Decimal('-0.25'))\n",
      "(1296095, 'COC(=O)C1(COCc2ccccc2)CCCC2OC21', 'CHEMBL1974804', Decimal('276.33'), Decimal('2.16'))\n",
      "(1296481, 'CCN(CC)C(=O)CCN1CC1', 'CHEMBL1975190', Decimal('170.25'), Decimal('0.35'))\n",
      "(1296551, 'CC(=O)OC1C[C@@H](C)C2(CC(c3ccoc3)OC2=O)C2CCC(O)C3(CO3)C12CO', 'CHEMBL1975260', Decimal('420.45'), Decimal('0.57'))\n",
      "(1486389, 'CC(=O)N1CC[C@@]23c4ccccc4N[C@@H]4N(C)c5cccc6c5[C@@]42CCN([C@@H]6[C@H]2OC2(C)C)[C@@H]13', 'CHEMBL2269100', Decimal('456.58'), Decimal('2.88'))\n",
      "(1284986, 'O=C(CCc1ccccc1)c1cc(F)ccc1OCC1CO1', 'CHEMBL1963275', Decimal('300.32'), Decimal('3.63'))\n",
      "(1286002, 'CC1OC(O[C@H]2C3C=CO[C@@H](OC4OC(CO)C(O)C(O)C4O)C3[C@@]3(COC(=O)/C=C/c4ccccc4)O[C@@H]23)C(O)C(O)C1O', 'CHEMBL1964711', Decimal('638.61'), Decimal('-1.93'))\n",
      "(1283089, 'CC(=O)[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', 'CHEMBL1957557', Decimal('332.48'), Decimal('2.47'))\n",
      "(1303337, 'C/C=C(/C)C(=O)O[C@H]1[C@H]2[C@@H]([C@@H](OC(C)=O)[C@H](C)C(=O)[C@@]34C[C@@H](C)C(=O)[C@]3(C=C(C)[C@H]1OC(C)=O)O4)C2(C)C', 'CHEMBL1982046', Decimal('530.61'), Decimal('3.32'))\n",
      "(1303518, 'COC12OC3(C4OC41)C(C(=O)O[C@H]3CO[Si](C)(C)C(C)(C)C)C2C(=O)Oc1ccccc1', 'CHEMBL1982227', Decimal('462.56'), None)\n",
      "(1286420, 'C=C1C(=O)OC2C=C(C)C3OC3C=C(C(=O)OC)C(OC(C)=O)C(OC(=O)C(C)(O)C(C)OC(C)=O)C12', 'CHEMBL1965129', Decimal('522.50'), Decimal('0.91'))\n",
      "(1294515, 'C=C1C(=O)O[C@@H]2[C@@H]3O[C@]3(C)C[C@@H]3C=C(C[C@H](OC(=O)C=C(C)C)[C@@H]12)C(=O)O3', 'CHEMBL1973224', Decimal('374.38'), Decimal('2.12'))\n",
      "(1287694, 'CCC1OC(=O)CC(O)C(C)C(OC2OC(C)CC(N(C)C)C2O)C(CC=O)CC(C)C(=O)C=CC2(C)OC2C1C', 'CHEMBL1966403', Decimal('581.74'), Decimal('2.34'))\n",
      "(1324918, 'CC1=C[C@H]2O[C@@H]3C[C@H]4OC(=O)C=CC=CC(C(C)O)OCC(O)C(C)CC(=O)OC[C@@]2(C[C@@H]1O)[C@]4(C)[C@@]31CO1', 'CHEMBL2003627', Decimal('548.62'), Decimal('0.62'))\n",
      "(1338748, 'C=C(C)[C@@]12O[C@@]3(c4ccccc4)O[C@@H]1[C@@H]1[C@@H]4O[C@]4(CO)[C@@H](O)[C@]4(O)C(=O)C(C)=C[C@H]4[C@@]1(O3)[C@H](C)[C@H]2OC(=O)/C=C/c1ccccc1', 'CHEMBL2023370', Decimal('628.67'), Decimal('3.48'))\n",
      "(1547730, 'C[C@@H]1C[C@]2(OC[C@]3(C)O[C@@H]32)O[C@H]2C[C@@]3(C)[C@@H]4CC[C@H]5C(C)(C)C(O[C@@H]6OC[C@@H](O)[C@H](O)[C@H]6O)CC[C@@]56C[C@@]46CC[C@]3(C)[C@H]21', 'CHEMBL2373279', Decimal('602.80'), Decimal('2.88'))\n",
      "(1299787, 'O=C1c2ccccc2OCC12OC21C=CC(Cl)=CC1', 'CHEMBL1978496', Decimal('274.70'), Decimal('2.35'))\n",
      "(1300804, 'O=C(O[C@@H]1[C@@H]2O[C@]2(CO)[C@H]2[C@H](OC3OC(CO)C(O)C(O)C3O)OC=C[C@@H]12)c1ccc(O)c(O)c1', 'CHEMBL1979513', Decimal('498.43'), Decimal('-2.02'))\n",
      "(1300984, 'CC1(C)CCC[C@@]2(C)C1CC[C@@]1(CO1)[C@@H]2/C=C\\\\C(C=O)CC=O', 'CHEMBL1979693', Decimal('318.45'), Decimal('2.94'))\n",
      "(1290593, 'Cc1ccc2c3c1[C@@H]1O[C@@H]1c1cccc(c1-3)[C@@H]1O[C@H]21', 'CHEMBL1969302', Decimal('248.28'), Decimal('2.70'))\n",
      "(1376887, 'Clc1ccc([C@]2(Cn3cncn3)O[C@H]2c2ccc(Cl)cc2Cl)cc1', 'CHEMBL2104617', Decimal('380.66'), Decimal('4.56'))\n",
      "(1385023, 'C[C@]12CC[C@H]3[C@@H](CC=C4C[C@@H](O)CC[C@@]43C)[C@@H]1CC[C@@H]2[C@@H]1CN1', 'CHEMBL2112772', Decimal('315.49'), Decimal('3.42'))\n",
      "(1385033, 'C[C@]12CC[C@H]3[C@@H](CC=C4C[C@@H](O)CC[C@@]43C)C1=CC[C@@H]2[C@@H]1CN1', 'CHEMBL2112782', Decimal('313.48'), Decimal('3.17'))\n",
      "(1378261, 'O=c1n(CC2CO2)c(=O)n(CC2CO2)n1CC1CO1', 'CHEMBL2105991', Decimal('269.25'), Decimal('-1.29'))\n",
      "(1304213, 'Cc1ccc(S(=O)(=O)N2CC2CCCCC=O)cc1', 'CHEMBL1982922', Decimal('281.37'), Decimal('2.27'))\n",
      "(1383913, 'CC(C)CNC(=O)[C@H](CC(C)C)NC(=O)[C@@H]1O[C@@H]1C(=O)O', 'CHEMBL2111662', Decimal('300.35'), Decimal('0.65'))\n",
      "(1301882, 'C[C@@H]1CCC[C@]2(C)O[C@H]2CC[C@@](C)(O)[C@@H]2CC3=C(CO)C(=O)O[C@H]3[C@H]1O2', 'CHEMBL1980591', Decimal('366.45'), Decimal('1.71'))\n",
      "(1367965, 'CC1(C)CN1P(=O)(Nc1ccn([C@@H]2O[C@H](CO)[C@@H](O)[C@@H]2O)c(=O)n1)N1CC1(C)C', 'CHEMBL2092776', Decimal('429.41'), Decimal('-2.30'))\n",
      "(1347014, 'C=C(C)[C@@]12OC3(c4ccccc4)O[C@@H]1[C@@H]1[C@@H]4O[C@]4(C)[C@@H](O)[C@@H]4C(=O)C(C)=C[C@@H]4[C@@]1(O3)[C@H](C)[C@@H]2OC(=O)c1ccccc1', 'CHEMBL2037469', Decimal('570.63'), Decimal('4.63'))\n",
      "(1486682, 'C/C=C(\\\\C)C(=O)O[C@H]1C[C@@H](OC(C)=O)[C@@]2(C(=O)OC)CO[C@H]3[C@@H](O)[C@@](C)([C@]45O[C@@]4(C)[C@H]4C[C@@H]5O[C@@H]5OCC[C@@]54O)[C@@H]4[C@@](OC)(C(=O)OC)OC[C@@]14[C@@H]32', 'CHEMBL2269390', Decimal('736.76'), Decimal('-1.10'))\n",
      "(1490004, 'C=C1Cc2c(Cl)cc3[nH]c4c5c3c2[C@H]2[C@@H]1C[C@@H]2C(C)(C)O[C@H]5[C@@H]1CC[C@@]2(O)[C@@]35O[C@@H]3[C@@H](O)[C@@H](C(=C)C)O[C@H]5CC[C@]2(C)[C@@]41C', 'CHEMBL2272678', Decimal('618.20'), Decimal('5.65'))\n",
      "(1548540, 'C=C(C)[C@H]1O[C@H]2CC[C@]3(C)[C@@]4(C)c5[nH]c6cc(Cl)c7c8c6c5[C@@H](OC(C)(C)[C@H]5C[C@H](C(=C)C7)[C@]85O)[C@@H]4CC[C@@]3(O)[C@]23O[C@@H]3[C@H]1O', 'CHEMBL2374089', Decimal('634.20'), Decimal('4.64'))\n",
      "(1302591, 'O=C1CN2C(Cl)(Cl)C2(c2ccccc2)c2cc(Cl)ccc2N1CC(F)(F)F', 'CHEMBL1981300', Decimal('435.65'), Decimal('5.25'))\n",
      "(1385010, 'CC(=O)[C@@]12O[C@@H]1C[C@H]1[C@@H]3CCC4=CC(=O)CC[C@]4(C)[C@H]3CC[C@@]12C', 'CHEMBL2112759', Decimal('328.45'), Decimal('2.92'))\n",
      "(1385139, 'C[C@]12CC[C@H](O)C[C@@H]1CC[C@@H]1[C@@H]2CC[C@@]2(C)[C@H]1C[C@H]1O[C@]12c1cccnc1', 'CHEMBL2112888', Decimal('367.52'), Decimal('3.58'))\n",
      "(1304487, 'CC(=O)O[C@H]1C[C@@H](OC(C)=O)[C@@](C)(O)[C@@H]2[C@@H](OC(C)=O)[C@@]3(O)[C@H](C=C(CCl)[C@H]4O[C@H]4[C@@H](OC(C)=O)[C@@]12C)OC(=O)[C@@H]3C', 'CHEMBL1983196', Decimal('617.04'), Decimal('-0.25'))\n",
      "(1140747, 'C[C@@H]1O[C@@H](C=C=CBr)C[C@H]2O[C@@H](C[C@H]2Cl)[C@@H](Br)C[C@H]2O[C@H]12', 'CHEMBL1765721', Decimal('442.57'), Decimal('2.54'))\n",
      "(1363863, 'CO[C@@]12[C@H](COC(N)=O)C3=C(C(=O)C(Br)=C(N)C3=O)N1C[C@@H]1N[C@@H]12', 'CHEMBL2079632', Decimal('399.20'), Decimal('-1.54'))\n",
      "(1593438, 'CO[C@@]12[C@H](COC(N)=O)C3=C(C(=O)C(C)=C(NCCc4ccccn4)C3=O)N1C[C@@H]1N[C@@H]12', 'CHEMBL3040627', Decimal('439.46'), Decimal('-0.22'))\n",
      "(1301081, 'C=C1C(=O)OC2(C)CCC1CC1OC1(C)CCC=C(C)CCC2O', 'CHEMBL1979790', Decimal('334.45'), Decimal('3.65'))\n",
      "(1359336, 'CC(=O)CC1CC2C(O1)[C@H]1O[C@]13[C@@H]1CC[C@@H]4C[C@@H](O)CC[C@]4(C)[C@H]1CC[C@]23C', 'CHEMBL2069022', Decimal('388.54'), Decimal('2.58'))\n",
      "(1378488, 'C[C@]1(O)CC[C@H]2[C@@H]3CC[C@@]45O[C@]4(C)C(O)=C(C#N)C[C@]5(C)[C@H]3CC[C@@]21C', 'CHEMBL2106218', Decimal('357.49'), Decimal('2.84'))\n",
      "(1384770, 'C[C@]12CC[C@H]3[C@@H](CC=C4C[C@@H](O)CC[C@@]43C)[C@@H]1CC1O[C@]12c1c[nH]cn1', 'CHEMBL2112519', Decimal('354.49'), Decimal('2.79'))\n",
      "(1298648, 'CC#CC#C/C=C1/O[C@]2(CCC(OC(=O)CC(C)C)CO2)[C@@H]2O[C@H]12', 'CHEMBL1977357', Decimal('330.37'), Decimal('3.13'))\n",
      "(1301139, 'CC(=O)c1ccc2c3c1[C@H]1O[C@H]1c1cccc(c1-3)[C@@H]1O[C@H]21', 'CHEMBL1979848', Decimal('276.29'), Decimal('1.96'))\n",
      "(1287453, 'C=C1C(=O)O[C@@H]2C=C(C)C=C[C@@H]3O[C@@]3(C)C[C@@H](O)C12', 'CHEMBL1966162', Decimal('262.30'), Decimal('1.12'))\n",
      "(1286741, 'C=C1C(=O)O[C@@H]2[C@H]1C[C@H]1O[C@]1(C)CC[C@@H]1O[C@@]1(C)CCC[C@@H](C)[C@@H]2O', 'CHEMBL1965450', Decimal('350.45'), Decimal('2.60'))\n",
      "(1303225, 'CC(=O)OCC1=C(C)CC(C(C)C2CCC3C4CC5OC56C(OC(C)=O)C=CC(=O)C6(C)C4CCC23C)OC1=O', 'CHEMBL1981934', Decimal('554.67'), Decimal('4.15'))\n",
      "(1295673, 'C=C1C(=O)OC2CCCCC3OC3C12', 'CHEMBL1974382', Decimal('194.23'), Decimal('1.54'))\n",
      "(1296635, 'COc1cc(O)c2c(c1)C(O)C(O)CC1OC1C(=O)C=CCC(C)OC2=O', 'CHEMBL1975344', Decimal('378.37'), Decimal('0.90'))\n",
      "(1302979, 'C=C1C(=O)OC2C=C(C)C(OC(C)=O)CC=C(C)C(OC(=O)C3(C)OC3C)C(O)C12', 'CHEMBL1981688', Decimal('420.45'), Decimal('1.99'))\n",
      "(1300314, 'C=C(C(=O)OC)[C@H]1CCC(C)=CCCC(C)=CCC[C@@]2(C)O[C@@H]2C1', 'CHEMBL1979023', Decimal('332.48'), Decimal('5.29'))\n",
      "(1332359, 'O=C(CCCCCc1ccc(-c2ccccc2)cc1)OCC1CO1', 'CHEMBL2011311', Decimal('324.41'), Decimal('4.78'))\n",
      "(1303342, 'CC(C)C1CN1CC(O)Cn1ccnc1[N+](=O)[O-]', 'CHEMBL1982051', Decimal('254.29'), Decimal('1.03'))\n",
      "(1298487, 'CC1OC(O[C@H]2C3C=CO[C@@H](OC4OC(CO)C(O)C(O)C4O)C3[C@@]3(COC(=O)/C=C/c4ccc(O)cc4)O[C@@H]23)C(O)C(O)C1O', 'CHEMBL1977196', Decimal('654.61'), Decimal('-2.17'))\n"
     ]
    }
   ],
   "source": [
    "for c in cur: print c"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Similarity-based (NN) search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "smi = 'CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4' #sildenafil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cur.execute(sql2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(410802, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 1.0)\n",
      "(1351310, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12', 0.88135593220339)\n",
      "(1351311, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12', 0.88135593220339)\n",
      "(80636, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12', 0.866666666666667)\n",
      "(80694, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12', 0.838709677419355)\n",
      "(488008, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5ccccc5)CC4)ccc3OCC)nc12', 0.825396825396825)\n",
      "(512303, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCC(C(N)=O)CC4)ccc3OCC)nc12', 0.8125)\n",
      "(410662, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCC(=O)O)CC4)ccc3OCC)nc12', 0.8125)\n",
      "(488151, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C5CCCCC5)CC4)ccc3OCC)nc12', 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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5ccc(F)cc5)CC4)ccc3OCC)nc12', 0.8)\n",
      "(410656, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCC(C(=O)O)CC4)ccc3OCC)nc12', 0.8)\n",
      "(488073, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5ccccc5Cl)CC4)ccc3OCC)nc12', 0.787878787878788)\n",
      "(488147, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5ccc(Cl)cc5)CC4)ccc3OCC)nc12', 0.787878787878788)\n",
      "(1351309, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N(CC)CC)ccc3OCC)nc12', 0.783333333333333)\n",
      "(488146, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5cccc(Cl)c5)CC4)ccc3OCC)nc12', 0.776119402985075)\n",
      "(410657, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCC(CC(=O)O)CC4)ccc3OCC)nc12', 0.776119402985075)\n",
      "(488010, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5ccccc5OC)CC4)ccc3OCC)nc12', 0.776119402985075)\n",
      "(488009, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5ccccc5C)CC4)ccc3OCC)nc12', 0.776119402985075)\n",
      "(488149, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5cccc6ccccc56)CC4)ccc3OCC)nc12', 0.764705882352941)\n",
      "(488071, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5ccccc5F)CC4)ccc3OCC)nc12', 0.764705882352941)\n",
      "(1351312, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N(C)C)ccc3OCC)nc12', 0.758064516129032)\n",
      "(488148, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5ccc([N+](=O)[O-])cc5)CC4)ccc3OCC)nc12', 0.753623188405797)\n",
      "(410658, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCC(CCC(=O)O)CC4)ccc3OCC)nc12', 0.753623188405797)\n",
      "(1334601, 'CCCc1nn(-c2cccnc2)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.742857142857143)\n",
      "(488152, 'CCCCCCCCCC(=O)OCCN1CCN(S(=O)(=O)c2ccc(OCC)c(-c3nc4c(CCC)nn(C)c4c(=O)[nH]3)c2)CC1', 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",
      "(1831953, 'CCCCCCCNS(=O)(=O)c1ccc(OCC)c(-c2nc3c(CCC)nn(C)c3c(=O)[nH]2)c1', 0.734375)\n",
      "(1831954, 'CCCCCCNS(=O)(=O)c1ccc(OCC)c(-c2nc3c(CCC)nn(C)c3c(=O)[nH]2)c1', 0.734375)\n",
      "(1334603, 'CCCc1n[nH]c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.734375)\n",
      "(410660, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCC(CCCC(=O)O)CC4)ccc3OCC)nc12', 0.732394366197183)\n",
      "(1820863, 'CCCc1nn(C)c2nnc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.73015873015873)\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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(c5cccc(C(F)(F)F)c5)CC4)ccc3OCC)nc12', 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",
      "(410735, 'CCCOc1ccc(S(=O)(=O)N2CCC(P(=O)(OCC)OCC)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",
      "(488150, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(Cc5ccc6c(c5)OCO6)CC4)ccc3OCC)nc12', 0.712328767123288)\n",
      "(1575538, 'CCCCCCCCc1nc(-c2cc(S(=O)(=O)N3CCN(C)CC3)ccc2OCC)[nH]c(=O)c1Br', 0.707692307692308)\n",
      "(410737, 'CCCOc1ccc(S(=O)(=O)N2CCC(CP(=O)(OCC)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.704225352112676)\n",
      "(410715, 'CCCOc1ccc(S(=O)(=O)N2CCC(P(=O)(O)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.704225352112676)\n",
      "(1831952, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCCO)ccc3OCC)nc12', 0.701492537313433)\n",
      "(1831956, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCCN(C)C)ccc3OCC)nc12', 0.701492537313433)\n",
      "(1831951, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCCCO)ccc3OCC)nc12', 0.701492537313433)\n",
      "(1334754, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2cnn(C)c2c(=O)[nH]1', 0.698412698412698)\n",
      "(1334755, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cccc(S(=O)(=O)N4CCN(C)CC4)c3)nc12', 0.698412698412698)\n",
      "(1831959, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCN4CCCCC4)ccc3OCC)nc12', 0.695652173913043)\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",
      "(1351313, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCc4ccccc4)ccc3OCC)nc12', 0.691176470588235)\n",
      "(1831955, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCN(CC)CC)ccc3OCC)nc12', 0.691176470588235)\n",
      "(1831950, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCCCCO)ccc3OCC)nc12', 0.691176470588235)\n",
      "(1831949, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCCCCCO)ccc3OCC)nc12', 0.691176470588235)\n",
      "(487042, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCNc4ccccc4)ccc3OCC)nc12', 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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCOC(=O)CCCO[N+](=O)[O-])CC4)ccc3OCC)nc12', 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",
      "(1831957, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCCN4CCOCC4)ccc3OCC)nc12', 0.676056338028169)\n",
      "(1831958, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCN4CCOCC4)ccc3OCC)nc12', 0.676056338028169)\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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc21', 0.671641791044776)\n",
      "(140806, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(=O)[nH]c(=O)n(C)c2[nH]1', 0.666666666666667)\n",
      "(410679, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)cc4c3OCC4)nc12', 0.666666666666667)\n",
      "(487043, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCNc4cccc5ccccc45)ccc3OCC)nc12', 0.666666666666667)\n",
      "(1441766, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(CCC)c(=O)[nH]1', 0.666666666666667)\n",
      "(80598, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccccc3OCC)nc12', 0.666666666666667)\n",
      "(487044, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCNCC(=O)O)ccc3OCC)nc12', 0.661971830985915)\n",
      "(487046, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)NCCN(CCO)S(=O)(=O)c4ccc(OCC)c(-c5nc6c(CCC)nn(C)c6c(=O)[nH]5)c4)ccc3OCC)nc12', 0.657534246575342)\n",
      "(410681, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)cc4c3OCO4)nc12', 0.656716417910448)\n",
      "(410683, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)cc4c3OCCO4)nc12', 0.656716417910448)\n",
      "(283502, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(ncn2CCC)c(=O)[nH]1', 0.656716417910448)\n",
      "(553751, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3ccccn32)c(=O)[nH]1', 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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc21', 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",
      "(1441764, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(C)c(=O)[nH]1', 0.636363636363636)\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",
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      "(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",
      "(139899, 'CCCCCCn1c(=O)n(C)c(=O)c2[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc21', 0.605633802816901)\n",
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      "(140172, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(=O)[nH]c(=O)n(CC(C)C)c2[nH]1', 0.6)\n",
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      "(563829, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(CC)c(OC)cc(O)c2c(=O)[nH]1', 0.597222222222222)\n",
      "(562146, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(I)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",
      "(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",
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      "(1441473, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(NC(C)=O)cc(=O)[nH]1', 0.594202898550725)\n",
      "(140805, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(=O)n(C)c(=O)n(CC(C)(C)C)c2[nH]1', 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",
      "(140087, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(=O)n(C)c(=O)n(CC(C)C)c2[nH]1', 0.591549295774648)\n",
      "(410684, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)cc4c3OCC4)nc12', 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",
      "(1821316, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nnc2nn(C)c(C)c2n1', 0.588235294117647)\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",
      "(555093, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2cc(OC)cc(O)c2c(=O)[nH]1', 0.585714285714286)\n",
      "(1441772, 'CCCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Br)c(=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",
      "(139960, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(=O)n(C)c(=O)n(CC3CCCCC3)c2[nH]1', 0.583333333333333)\n",
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      "(1334762, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cccnc3OCC)nc12', 0.578125)\n",
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      "(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)n2c(O)nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.571428571428571)\n",
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      "(410687, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)cc4c3OCO4)nc12', 0.567567567567568)\n",
      "(410689, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)cc4c3OCCO4)nc12', 0.567567567567568)\n",
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      "(410686, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)cc4c3OCCC4)nc12', 0.565789473684211)\n",
      "(304580, 'CCCn1cnc2c(O)nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc21', 0.563380281690141)\n",
      "(304707, 'CCCc1nc(CC)c2c(O)nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nn12', 0.561643835616438)\n",
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      "(102837, 'CCCOc1ccc(S(=O)(=O)N2CCN(CP(=O)(O)O)CC2)cc1-c1nc(O)c2c(n1)c(CCC)nn2C', 0.545454545454545)\n",
      "(1821318, 'CCOc1ccc(S(=O)(=O)N2CCCN(S(=O)(=O)c3ccc(OCC)c(-c4nnc5c(n4)c(C)nn5C)c3)CC2)cc1-c1nnc2c(n1)c(C)nn2C', 0.542857142857143)\n",
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      "(512228, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccccc3O)nc12', 0.53968253968254)\n",
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      "(1334759, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cccnc3OC)nc12', 0.537313432835821)\n",
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      "(1334767, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cccnc3O)nc12', 0.53030303030303)\n",
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      "(1334776, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccsc3)nc12', 0.523809523809524)\n",
      "(1334773, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cn(C)cn3)nc12', 0.523809523809524)\n",
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      "(1469710, 'CCOc1ccc(S(=O)(=O)N2CCN(c3ccccc3)CC2)cc1-c1nc2ncccc2c(=O)[nH]1', 0.520547945205479)\n",
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      "(326091, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(O)c2nc3ccc(C)cn3c2n1', 0.52)\n",
      "(1353820, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccc(C)cc3)nc12', 0.516129032258065)\n",
      "(512227, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccccc3)nc12', 0.516129032258065)\n",
      "(1334771, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cn(C)nc3C)nc12', 0.515625)\n",
      "(1353819, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccc(OC)cc3)nc12', 0.515625)\n",
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      "(1334775, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccnn3C)nc12', 0.507936507936508)\n",
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      "(1746350, 'CCOc1ccc(S(=O)(=O)N2CCCNCC2)cc1-c1nnc2c(n1)c(C)nn2C', 0.506666666666667)\n",
      "(28710, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(O)c2cc3[nH]cnc3cc2n1', 0.506666666666667)\n",
      "(421326, 'CCCc1nc(C)c2c(=O)nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)ccc3OCC)[nH]n12', 0.506666666666667)\n",
      "(140382, 'CCOc1ccc(S(=O)(=O)N2CCN(CCN(C)C)CC2)cc1-c1nc2c(=O)n(C)c(=O)n(CC(C)C)c2[nH]1', 0.506329113924051)\n",
      "(1353818, 'CCCc1nn(C)c2c(=O)[nH]c(-c3cccc(Cl)c3)nc12', 0.5)\n",
      "(140451, 'CCOc1ccc(S(=O)(=O)N2CCN(CCO)CC2)cc1-c1nc2c(=O)n(C)c(=O)n(CC(C)C)c2[nH]1', 0.5)\n",
      "(1353816, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccc(Cl)cc3)nc12', 0.5)\n",
      "(1334770, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccc(=O)[nH]n3)nc12', 0.5)\n",
      "(326382, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(O)c2nc3cccc(CC)n3c2n1', 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)c2c(=O)[nH]c(-c3cccc(Br)c3)nc12', 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",
      "(1334766, 'CCCc1nn(C)c2c(=O)[nH]c(-c3ccc(O)cc3)nc12', 0.5)\n",
      "(453288, 'CCCc1c2nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)cnc3OCCOC)[nH]c(=O)c2nn1C', 0.5)\n"
     ]
    }
   ],
   "source": [
    "for c in cur: print c"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### More about the RDKit Cartridge here: http://www.rdkit.org/docs/Cartridge.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Working with Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from rdkit.Chem import PandasTools\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = pd.read_sql(sql2, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(217, 3)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1351310</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1351311</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80636</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80694</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12</td>\n",
       "      <td>0.838710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   molregno                                                            smiles  similarity\n",
       "0    410802    CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12    1.000000\n",
       "1   1351310      CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12    0.881356\n",
       "2   1351311       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12    0.881356\n",
       "3     80636       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12    0.866667\n",
       "4     80694  CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12    0.838710"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filter the table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "nn = data[data['similarity'] >= 0.8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12, 3)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nn.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1351310</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1351311</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80636</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80694</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12</td>\n",
       "      <td>0.838710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   molregno                                                            smiles  similarity\n",
       "0    410802    CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12    1.000000\n",
       "1   1351310      CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12    0.881356\n",
       "2   1351311       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12    0.881356\n",
       "3     80636       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12    0.866667\n",
       "4     80694  CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12    0.838710"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nn.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Add RDKit molecules and descriptors to the table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "PandasTools.AddMoleculeColumnToFrame(data,smilesCol='smiles',molCol='mol',includeFingerprints=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12</td>\n",
       "      <td>1.000000</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1351310</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAYAAACtWK6eAAAa/0lEQVR4nO3deVxU9f4/8NeADIuCgJqi4AoiKqJB5W6S4haVZabdq958/NSrJvRo8avX+pLful1bLCrLNNObVmr36tUsyzWNRK8yLogLiwpuuDIgyDbA6/fHCVzCEzBz5ozyfj4ePBhg+HzeA/Oacz7nnM9nDCQJIUS1nPQuQAhHJgERQoUERAgVEhAhVEhAhFAhARFChQRECBUSECFUSECEUCEBEUKFBEQIFRIQIVRIQIRQIQERQoUERAgVEhAhVEhAhFAhARFChQRECBUSECFUSECEUCEBEUKFBEQIFRIQIVRIQIRQIQERQoUERAgVEhAhVEhAhFAhARFChQRECBUSECFUSECEUCEBEUKFBEQIFRIQIVRIQIRQIQERQoUERAgVEhAhVEhAhFAhARFChQRECBUSECFUSECEUCEBEUKFBEQIFRIQIVRIQIRQIQERQoUERAgVEhArXbx4Ue8ShIYkIFYoKSlBREQEZs+eDZJ6lyM0IAGxgqurK3788Ud88803ePLJJ1FYWKh3ScLGDJSXPqudP38eI0aMgNFoxIYNG3DffffpXZKwEdmC2EDLli2RkJAAX19f9OrVC6mpqXqXJGxEAmIjjRo1wvr169G7d2/07t0bCQkJepckbEACYkNGoxHLly/HjBkzEBUVhVWrVuldkrCSZgG5fv06oqOjcf78ea26cEgGgwGvv/46PvnkE0yYMAGvv/663iUJKzTQqmEPDw9s374d6enpaNmypVbdOKyJEyfC398fo0aNgtlsxvvvvw9nZ2e9yxK1pNkWxGAwICAgAKdPn9aqC4cXFRWFbdu2YfXq1Rg1apQcBr4LaToGad26db0OCAA88MAD2L17N44fP46BAwfi0qVLepckakHzgJw5c0bLLu4K7dq1w44dO1BYWIhly5bpXY6oBU0DUt93sW7WvHlz9OzZE8eOHdO7FFELmgdEtiA37N+/H+Hh4XqXIWpB812srKwsLbu4a5SUlCAlJUUCcpfRPCD5+fnIzc3Vspu7QnJyMioqKtC9e3e9SxG1oHlADAaDjEMAmEwmdOrUCR4eHnqXImpB04C4ubmhadOmMg4B0OjsWTz1yCN6lyFqSbMz6ZXkXIjizxs3AhMn6l2GqCXNL1aUcyEAiouBlBRABuh3HbsEpN5vQQ4fBkggLEzvSkQtaR4QOVkIwGQCQkIAGaDfdeyyBcnIyMDVq1e17spxmUyye3WX0jwgQ4YMQZcuXRAQEIDJkycjJSVF6y4dT8OGQP/+elch6sBuizb8+uuv+Oijj7B27Vp0794dMTExGDt2LFxcXOzRvRB1YvdVTU6cOIHPP/8cixcvhqurK6ZMmYLnn38eTZs2tWcZ9rNzJzBunHJ7xQpgwAB963FAZ86cQUpKCpKTk+Hr64vhw4ejVatWepcFQMdlf/Lz87Fy5UrEx8fj5MmTGD16NF5++WV069ZNj3K0060b8NZbgMEAzJ4NJCfrXZFuCgoKcOTIESQnJyM5ORmHDx9GcnIyzGYz2rRpg9DQUJSXl+Pw4cPYuHEjQkND9S5Z/3WxKioqsH37dnz44Yf44Ycf0Lt3b8TGxmLkyJFo0EDz85jac3cH8vKUw7ze3kBRkd4Vaa6oqAgmkwlHjx7FkSNHqm6bzWa0aNECERER6NKlCzp37ozw8HAEBQXBaDQCAEhi7ty5mD9/PlatWoURI0bo+2DoQJKSkjh+/Hi6uroyJCSECxcuZFFRkd5lWadrV3LDBvL778nQUL2r0dx7771HDw8POjs7Mzg4mE8//TTfeOMNrlu3jidPnmRFRUWN2lmyZAnd3Ny4cOFCjStW51ABqZSbm8v4+HgGBgbyiy++0Lsc62zbRvr7Kx/bt5Pr1pE1fJLcbbZs2UKj0cj169ezsLDQ6vZ++uknenp6MiYmpsbBsjWHDEiluLg4Dh8+XO8ybCcri/TxISdMIEtL9a7GpsrKyhgaGsoXX3zRpu3u3buXzZs35/jx41mqw9/MoReOu+cuU2ndGkhKAnbvBqKigHtonsxXX32Fc+fO4dVXX7Vpu5WLXvz3v//FsGHDkJeXZ9P2/4jDB+Sem5HYvj2QmAiUlQF9+wI2uJDz0qVLWLhwIQYOHIiZM2fCbDbboNCaKywsxJw5czBz5kz4+PjYvP127dohMTERJSUl6Nu3r30vfrX7NqsWUlNTCYBms1nvUmwvP58cOpR5kZFMTU2t9a9fvXqVn3/+OQcNGkRnZ2f6+flx8uTJDAsLY0hICDMzMzUounrvvPMOW7durfkBleLiYo4ePZotW7bkgQMHNO2rkkMHpKioiAaDgcnJyXqXog2LhXNjYtikSRPu2rXrD++enZ3N+Ph49unTh05OTgwMDGRcXBxTUlKq7lNcXMxnnnmGvr6+TEhI0LJ6kuSVK1fo7e3NpUuXat4XqYx1ZsyYQW9vb/7888+a9+fQASHJZs2a8fvvv9e7DE3Fx8fTzc2NK1as+N3PLl68WBUKZ2dndujQ4XehIJUnalpaGkmyoqKCM2fOpJubG1evXq1p7S+//DK7du3KsrIyTfu5XeXf7KuvvtK0H4cPSHh4OD/99FO9y9DcmjVr6OHhwbi4OObm5nLRokVVoWjfvn21ocjJyeHSpUs5dOhQuri4cMKECbf8PD4+ni4uLlywYIEmNWdmZtLNzU23F7CFCxdy4MCBzM/P16wPhw/IyJEjOXv2bL3LsIutW7fSy8uLDRs2ZNOmTTl58mRu2bLlllfn23ezQkJCqg1PpTVr1tDd3Z0xMTEsLy+3ab3jx49nZGSkTdusjePHjxNA/Q5IbGws//SnP+ldht08/PDDnDJlCi0WS9X3Lly4cEsogoODVUNxu927d7Np06Z86qmnbDaQ3r9/P52dnbl3716btFcXSUlJdHJy0vQkosMH5L333mO/fv30LsMuKioq6OPjw40bN5Ikt2/fzscff5xubm5s1aoVX3jhBe7atatOT4j09HQGBgayd+/evHz5stW1Dh06lE8//bTV7Vjj559/pqenp6Z9OPzVgPVp0YdTp07BbDZXrb545coVtG7dGlu2bEHv3r3h5FT301aBgYFISEjAo48+igEDBmDjxo1o06ZNndraunUrtm/frvs6wwUFBWjUqJG2nWgaPxvYvXs3XVxc7H6URA+rV6+mv7+/pn0UFBRwxIgR9PPzo8lkqvXvl5eXs3v37pw+fboG1dXOypUr2bFjR037cOgz6YCyBbFYLMjOzta7FM2ZTCZERERo2kfDhg2xdu1aREZGYtCgQdi/f3+tfj8rKwu5ubmYM2eORhXWXH5+vuZbEIcPSIsWLWA0Gu+ta7LuwGQy2WVxa6PRiBUrVqBnz57YtGlTrX7X3d0d58+fR2ZmpjbF1YI9drEcPiBOTk5o1aoVjh8/rncpmiKpeUDKy8sREhKClJQUGAwG5OTkwNXVtVZttGjRAk899RQWLFigUZU1V1BQAE9PT037cPiArF27Fnl5eXjhhRfw7rvvoqSkRO+SNHHy5Enk5uZqGpCjR48iLS0NAQEBsFgsOHToUJ36mz59Ov7973/jwoULGlRZc/V+CxIfH4+xY8diwYIF+Prrr/HZZ5+hQ4cOWLx4McrLyzXt22AA/vd/b9zWWlJSEgICAnDfffdp1ofJZEKHDh3QuHFjHD16FKWlpXUKSJ8+fdCtWzcsXrxYgyprrl6PQWbNmoW//e1vWLt2LcaOHYvo6GgcO3YMr7zyCmbOnIkHH3wQO3bs0LSGTz4B0tI07aKKPcYfNx8EMJlM6NixY52fYFOnTsVnn30Gi8ViyxJrpd7uYsXFzcWCBQuwbt06jBgxAtnZ2ejbty+OHj2K2NhYnDhxAn379sXgwYMxePBgHDlyxOo+k5OB1atv/d6UKcC0aVY3XSP2CkhlH9b2N2bMGISG/gPff2+r6mqv3u1iVVQA06cDe/Y8gy1btiAqKgqHDx9GREQE/Pz8EBISAgBo0qQJPvzwQ6SkpMDHxwc9evTAlClTcPny5Vr1d/w4MHcu0LkzcP/9wNdf3/rzmTOVVUO1Zo8BellZGQ4ePFjVR1JSklX9eXh4oHv3CfjgA/0W/rPHLpbDnCgsLCSjo8nWrcljx5TvJSYm0tfXl5MmTVI9Ubh161aGhYXRx8eH8+bNY3Fx8R3vm56ezgULNjEsjDQYyD59yI8+IrOzb71f5V/mH/9Qbs+cSWp1rjItLY0AeOnSJW06IJmcnEwnJyfm5eWxtLSUbm5u/OWXX6xqMzOTdHYm63C+0SZ69uyp2ZXKlRwiILm5ZP/+ZLdu5Pnzyvd27iSHDNnK2NjYGl2FWl5ezi+//JJ+fn4MCgrit99+W3XN0vHjx/nmm2+ye/fuBMDBgx/l/Pnk6dM1q89kIps3Jx97jLx+va6P8s5WrlzJgICAqq8vXLhg8z6WLVvG4OBgkuTBgwfp7Oxsk6tgH3uMnDTJ6mbqpGvXrvzyyy817UP3gOTkkA8+SPboQVY+L9atI93dyTffrEt7OXzppZdoNBo5YMAAduvWjQAYFhbGt956iydOnKhTnefOkd27K0tb1TRYNRUbG8snnniCpLLkka+vL99++22b9vH888/z2WefJamsORUSEmKTdjdvVv5XV6/apLkaKS8v57x58xgcHMz09HRN+9I9ICUl5Kuvknl5ytcffEAajWQ1k+v+kMViqdpqpKam0svLi1OmTOGxyn22Ojh8mFy/Xrn92zRytmxJWjslOiMjg3FxcezcuTM9PT3ZtWvXqi3Hnj172KxZM06YMMFmS9307NmT8+fPJ0lOnTqV48aNs0m75eVkcDC5Zo1NmvtDJ06c4EMPPUQ/Pz9u2bJF8/50CQhAvvbajduVsrPJJk3If/2rbu0uX76cPXr0IEkeOnSoap/bGkuWkC4uZOUCf0VF5OjR5JAhy2s0j/xmly9f5qJFixgZGUlnZ2e2atWKsbGx3Lp1K4cNG3bLYgQZGRkMCgrioEGDmJuba9VjsFgsdHd3586dO0mSDz74IOPj461q82Y2WCOuRr7++mt6eXlx+PDhvHjxol361C0gvr5kauqtASFvbEnqYsaMGRw9ejRJcunSpTa70nPTJtLLi4yJUV4xy8vL+eKLL9Ld3Z3r1q1T/d3bZwB27Nix2slOFouFkyZNYqNGjfjjjz+SVMYiERERDA0N5Wkr9usqB+j5+flVA3RbL+hwpxc9W8jPz+e4cePo6urK+Ph4u66yqFtAZs8mH3nEtn/M3r17V+27T58+vWqf2xYSE8mmTclZs1KrdnuWLl1Ko9H4u/HCzQstODk5MSgoqEYzACsqKhgXF0ej0Vi1gENBQQEfffRRq5a6SUpK4sSJE0mSBw4coLOzMwsKCurU1p2ovehZw2QyMTg4mB07dqzT5fnW0i0gZjPp7W27P6bFYqGHhwe3bt1KknzooYeq9rltJSOjlMHBXRkVFVW167Z582Z6eXlx6tSpXLlyJUeOHEk3Nze2aNGC06ZN444dO2o9F3zZsmU0Go2Mi4sjqSx189e//pWenp786aefrHoMS5YsYefOna1qozq3v+idPascgKmr8vJyxsXF0cXFhTExMTZZ67cudAsIeeMcgy2kpKTQYDDQbDZX7Ubs2LHDNo3fJCcnh/369WNgYGDVEZTExES2b9+eAQEBtZorrqYyeBMnTqyanz5v3jy6urpWuzzQH7FYLNy0aRMHDhzIIUOGWF3f7W5/0YuNVc6R9OlDvvEGuXevsntaE+fOneMjjzxCX19frrHX6P8OdD2K9eOPpJXnqqr885//ZIcOHUjeGKBrtdpFfn4+hw4dyoCAAF67do0FBQV0dnbmvn37bNrPoUOH6O/vz6ioKF67do2k8jhv3rqosVgs3Lx5MydNmsQmTZqwUaNGHDZsGL28vBgTE2PTWZrVvegdPky++y45aBDp6qrsosbEXOby5cvveK5nw4YNbNasGfv168esrCyb1VdXugbktdfIiAjbtHX7AL3ypJhWSktLuWHDBpLKFsTV1ZUlJSU27+fUqVMMCQnhAw88UPWkWrduHYcOHXrLyieViouL+d1333HcuHFs3LgxmzVrxpiYGCYkJFQF4ujRo2zTpo3VR8gyMshDh2p234IC5S1S5s7dw8DAQBoMBt5///2cPXs2d+7cyYKCAsbExNBoNHLevHkOM8Va14BcvKicZNq2zfq2bh+g23OpoI8//pgRtkp6NXJycti/f3+2a9eu2nM6JSUlVaHw9vZm06ZNfxeK22VnZzM8PJxdu3at0yv15ctkUBD529i/1jIyMvjJJ58wOjqaDRs2ZNu2be12bqM2dD9ROHWqcvLNGtUN0N9//30bVFczf/nLXzhlyhRN+yguLubYsWPp6+vLX3755XehaNy4MceNG8fvvvtO9Vq0m5nNZg4dOoiJiUNZVHS0xrUUFpK9epH9+innhaxVXFzMtLQ0q89ZaUH3gJw4QTZoQO7fX/c2Dh8+/LsBeuVJMXsIDQ3l4sWLNe+nrKyM06ZNo6enJ5s3b053d3c++eSTXLVqVZ0P21ZUFPPkybE8cMCH+fk1GRCWMy1tLP/nf1LsenmJXnQPCEmOGkX++c91/317DtBvV1REDhw4gyZT3S9nqa2kpCSuXLnSpo8xO3seTaYGvHxZPeiZmf+PyckBLC09Z7O+HZlDBGTvXuVyjrq+pcXtA3RbXYhXE4mJyhEaDcbndnfp0gKaTC68dKn6S8ivX9/HAwc8ef16kp0r049DrKz4wAPAQw8BS5cqE5hqKzw8vGrijL2WzqlkMgGhocBv72J8V2vWbDpcXPzh5ORR7c89PCLQpUs6XFya27ky/ThEQABg1SqgrusVTJgwoep2UlISxowZY6Oq/pjJBNgxj5rz9n686vaFC2/h4sUPUFZ2BQAQHs56FQ7AgQLSqpXy2WAAXnsN+L//U26Tv79vcTGQlZWOrKxTyMzMRFZWFjIzM5GZmYkLFy6gQQP7PaykJCAmxm7d2dWFC2+jefOZ8PUdC1fX9nqXowsDWd1TUD8GA+Drq7wRbHAw8M47yvtcnj6tfD57Frh0CQgMDMWlS6fRtm3bWz6ys7Px8ccfY9GiRRg/frymtV6/DjRuDOzbB/TooWlXusjL+wFXrizB9et74O39OFq3/kzvkuzOIQMyezawdy+wbRvQrx/Qpg0QEAD4+yvvpNy6NRAQUAQfH/dq29i8eTNGjRqF5557DvHx8TBotLDVuXPAjBnK7uG9MAa5k8LC/UhN7YcePa4DAMgSGAy1W5HxbuWQATGbgXbtlLcRr2t1+/btQ3R0NKKiorBkyRIY7+VnsI1UVFxHQcGv8PIaAgAwmZQXFmdnH9x333S0bPkGAODkyWfQoIEPAgIWwGBwmL10beh5CK06trzS9+TJk+zUqRMjIyOtnpV3u+omCN1cr+P9ZdVVVJQxPf1RHjkSxoqK31/jdbPCwhQmJ7dmamoky8ps+3d1NA6zLlZurvK5cosxa1bdtx6V2rVrh127dsFisaBv3742XyHenisvau3MmedRWHgAgYEbYDA0QEFBAoCKW+5z8eJ8FBQkwN29C4KDd8JSegGWuGnAxYv6FG0HDhGQo0eVMYYWbyTl6+uLLVu2oEuXLujVqxcOHjxY57auXgVycm58Xd3KiwaDfdbytal589D07RMICvoBRmMAcnP/g7S0R3D9+r5b7lZWdgnp6VEwm/8Fo7EtOrdNgFvCWaBXL2UVvnuR3pswkoyMJMeM0baPyvcO9/T0rJrzXRM5OeQXX5BDhijXjH3wgfL96mZF3pW7WEuXkm5uykJkJK9d20qTycjLl7+o9u6VZ9sLEn+7JKW4mHzmGWW+7bl77/IT3f+NP/yg/H9OnbJPf5VvQK82K89sNvObb8wcPlxZgqhtW/KVV8ib50NVN1a66wJy7Zoyi2nZMuXrtDSWDe3D7NTXVH+tIPN70tOTfOklsqJC+fiDxSvuVrr+G0tLyU6dyFmz7Nvv2rVr6eHhccusvLy8PK5YsYLR0dF0dXXlY4+t4Ysvknv2KP//e1blzL4zZ0h/f/K552r2gJOTlfs/8cSt6/7s2EEGBCgfGkx5tjddA7J4sbIOltls/77/85//sHHjxhwzZgyfeOKJqrdajo2NrfNbLd/Vxo0jH35Y2WWqqYwM8tlnlemClUJDyQ0blOmDoaG2r9POdDsPkp+fjz59HsYLL3yFiRND7N5/dHQ0/Pz84OPjg2PHjmHw4MGYPn26VW+1fNfYuRMYN065vWIFMGCAcvTByQnw9raubXd3IC9POQTp7Q0UFVlbra50O8vz5ptvgizFhAkddel/3759WLRoER5//HEMGTIEV65cqR/hAJTT/59+qhxumzFDeXMUX1/btB0YCGzerLQdFGSbNvWkx2YrIyODRqORGzdu1KN7njlzhgB45swZVlRU0NfXl+srF+CtD9zclAksxcXKbVvatk0Zm/j7k9u327ZtHeiyBZkzZw4GDhyIYcOG6dE9TCYTWrRoAX9/f2RmZiInJ8euc0h0p+WrfGSkNie0dGL3gPz6669Ys2YNDh06ZO+uq5hMJtx///1Vt/38/NCq8nr7+uDDD4HKOTTLl+tbi4Oze0A8PT3x97//HZ07d7Z311XSU1LQ47fr028OS71xj73Ka8nuAQkLC0NYWJi9u73Fyj17YPntFTTSbEaP/v11rUc4rnpy2OYmZ88C2dlwCQ8HSAz69ls83amT3lUJB1X/ApKUBLRoocy+yspSjv/XpwG6qJX6F5CbV1lISgL8/G5MiBfiNvU7ICaT8gbpQtxB/QvIgQM3Vli419bsETZ3j08orkZqKuD624ID7dopq0IIcQf1cwsSFKQsjfLss8CgQXpXJByYw61qorlu3YC33rqxvlByst4VCQdW/wJyj12OLbRV/8Yg99rl2EJT9S8gcqGeqIX6t4slRC3Uv6NYQtSCBEQIFRIQIVRIQIRQIQERQoUERAgVEhAhVEhAhFAhARFChQRECBUSECFUSECEUCEBEUKFBEQIFRIQIVRIQIRQIQERQoUERAgVEhAhVEhAhFAhARFChQRECBUSECFUSECEUCEBEUKFBEQIFRIQIVRIQIRQIQERQoUERAgVEhAhVEhAhFAhARFChQRECBUSECFUSECEUCEBEUKFBEQIFRIQIVRIQIRQIQERQoUERAgVEhAhVEhAhFAhARFChQRECBUSECFUSECEUCEBEUKFBEQIFf8f3zvwaliGz+QAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1351311</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80636</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.866667</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80694</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12</td>\n",
       "      <td>0.838710</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "   molregno                                                            smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    mol\n",
       "0    410802    CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12    1.000000                                                                                                                                                                  <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>\n",
       "1   1351310      CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12    0.881356              <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>\n",
       "2   1351311       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12    0.881356  <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>\n",
       "3     80636       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12    0.866667                              <img 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\" alt=\"Mol\"/>\n",
       "4     80694  CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12    0.838710                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data['logp'] = data['mol'].map(Descriptors.MolLogP)\n",
    "data['mw'] = data['mol'].map(Descriptors.MolWt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12</td>\n",
       "      <td>1.000000</td>\n",
       "      <td><img src=\"data:image/png;base64,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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>1351310</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>3.2395</td>\n",
       "      <td>473.599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1351311</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAYAAACtWK6eAAAbCUlEQVR4nO3de1RU170H8N8IDAPyEPQOIoLlZcigCNEYDbeRREltxfokMSgYTaRdGjG5prExycXctIn2pgWN8RbTmgiJD6xGie83anwkookDijw0IgpYeSPvme/94wiKwSMw58wZ9PdZi7VGndn7Nw7fOefs2XuPCgCIMdauHkoXwJgl44AwJoIDwpgIDghjIjggjInggDAmggPCmAgOCGMiOCCMieCAMCaCA8KYCA4IYyI4IIyJ4IAwJoIDwpgIDghjIjggjInggDAmggPCmAgOCGMiOCCMieCAMCaCA8KYCA4IYyI4IIyJ4IAwJoIDwpgIDghjIjggjInggDAmggPCmAgOCGMiOCCMieCAMCaCA8KYCA4IYyI4IIyJ4IAwJoIDwpgIDghjIjggjInggDAmggPCmAgOCGMiOCCMieCAMCaCA8KYCA4IYyI4IIyJ4IAwJoIDIoGGhgalS2Ay4YCYaMuWLfTEE0/QpUuXlC6FyYADYqJx48bRsGHDKDg4mHbu3Kl0OUxiHBAT2dra0tq1a+mDDz6gSZMm0SeffKJ0SUxCKgBQuoiHxebNm2nmzJk0ffp0+vTTT8na2lrpkpiJOCASO3fuHI0fP54CAgIoNTWVnJ2dlS6JmYBPsSQWFBREJ0+epIqKCgoNDaXLly8rXRIzAQdEBu7u7nTkyBEKCQmhJ598ktLT05UuiXWRrAEpLy+n5uZmObuwWLa2tpScnEx/+MMfaOzYsbR27VqlS2JdIFtA6urqqHfv3pSVlSVXFxZPpVLRokWLKCUlhebOnUsLFiwgo9GodFmsE2QLiJ2dHXl6elJOTo5cXXQbU6dOpW+//Za2bt1KkZGRdOvWLaVLYh0k6ymWn58f5eXlydlFtxEcHExHjhyhrKwsWrNmjdLlsA6SPSD5+flydtGtDBgwgEaNGkVnz55VuhTWQbIGxNfXl48g98jMzKTBgwcrXQbrID7FMiMAHJBuRvaAXL9+nS9KbysoKKCqqioOSDcie0CIiKeC36bX60mr1ZKbm5vSpbAOkjUg9vb25O7uzqdZt5VdukShw4crXQbrBNmnmvB1yB0xJ0/SFl9fpctgnWCWgPBQ7216PRFff3QrsgeEh3pva2wkuniRA9LNmOUIkpubK3c3lu/iRSKDgSgwUOlKWCeYJSCFhYVUX18vd1eWTa8n8vYm6tlT6UpYJ5glIEajkYd6s7KIBg1SugrWSWZZctu/f3+aOnUqvf/++4/uEtTmZqLqaiIXF6UrYZ1glhWFGzdupK1bt5KHhwe9+uqrdPr0aXN0aznS04l8fIiGDBFus27DLAEJDQ2ln376idLT08nKyoqeeeYZCggIoGXLllFpaak5SlDW/PlEq1YR/d//CbdZt6HIriYVFRWUmppKK1asoPz8fBo/fjzFxsbSmDFjzF2KedjZEVVWEgFEvXoR1dUpXRHrIEU2bejVqxfFxsZSZmYmHTt2jFxcXOi3v/0tBQYG0vLly6m6ulqJsuTj50e0dy/R/v1E/v5KV6OIqqoq2rZtG2VkZFBdN3qDsJh9scrLy2nTpk20YsUKKigooJdeeol+//vfU0hIiNKlme7gQaKZM4XbyclEvr5E/foRPSIbyxUWFtKIESPI2tqarl69SiqVinx9fSkoKIgGDx5MgwYNoqCgIPLx8aEePSxrox2LCUgLg8FAu3btotWrV9OuXbtoypQplJycTGq1WunSpBMaSuTgQLRxo3DK9RCrrKykp59+moKDg+nLL78kg8FABQUFlJWVRefPn6esrCzKyMigixcvkkqlIi8vL9LpdDR06FAKDAwknU5Hjz/+uGLBsbiA3K2wsJCee+45WrhwIf3ud79Tuhzp3LxJNGUKUWEh0TffEOl0kjZ/69Yt6mkBH0g2NzfT+PHjqby8nA4fPkwajea+962oqKDMzEzKysoivV5P58+fp3PnzlFpaSlptVoKCgqipKQk8vHxMeMzICJYuGnTpuHNN99Uugzp1dcDMTGAoyOwfbvJzdXU1CA5ORnh4eFwdXXFyJEjceXKFQkK7brXX38dnp6eKCoq6nIbRUVF2LdvH1566SUMHjxYwuo6xuID8u6772LixIlKlyEPoxFYvBhQq5G9bl2nH97Q0IDU1FRERETA1tYWPj4+iI+Px5kzZzB58mS4urri4MGDMhT+YKtWrULPnj1x5swZSdq7du0arKyscPr0aUna6yiLD8jnn3+OwMBApcuQVUlqKuw0Grz55pswGAyi9zUajTh69ChiY2Ph4uKC3r17Iy4uDkePHm3zWKPRiPj4eNjY2GDlypVyP4U29u3bB7Vajc2bN0va7vPPP48FCxZI2uaDWHxAjh49Co1G88BfnO7u7Nmz8PT0RHh4OMrLy3/273l5eYiPj0dAQABsbGwQGRmJtLQ01NXVtd6ntrYWX331Fb799tvWv9uwYQPs7OwQGxuLpqYm2Z9HdnY2XFxc8MEHH0jedkpKCrRaLRobGyVv+34sPiBFRUUgIhQUFChdiuyuXbuGYcOGwd/fH9nZ2bh58yYSExMRGhqKHj16IDQ0FElJSSgtLW19jNFoRHp6OmbPng0nJydotVqsWbOmTbsnTpxA37598atf/QoVFRWy1f/vf/8bPj4+mDFjBoxGo+Tt19TUwNHRETt27JC87fux+IAAgKOjo2Ln0uZWVVWFcePGwd3dHY6OjtBqtYiLi8P333/f5n4ZGRmIi4uDu7s7nJycEBsb+7PTrLsVFhZi6NChGDRoEC5duiR53Q0NDfjlL3+JkSNHtjmqSS0mJgbTpk2Trf17dYuABAcHY/Xq1UqXYTaNjY3QaDT48MMP25xOFBUVYenSpdDpdPc9zRJTU1ODSZMmoXfv3jh06JCkNc+aNQteXl4oLi6WtN177du3DxqNRtYj4d26RUCmTp2KRYsWKV2G2eTk5ICIUFZWBgDYvXs3pk6dCltbWwQGBmLp0qVdPuVsuXi3tbX92alYV/31r3+Fk5MTsrKyJGlPjMFggKenp2S1P0i3mOvwqC3b1ev15OHhQS63146kp6eTp6cnnThxwuSpNyqVipYsWUIBAQE0e/Zs+uGHH+hvf/sbWVlZdam9tLQ0+uMf/0jbtm0jncQfeLanR48eFBUVRSkpKTRr1izZ++sWR5DPPvsMQ4YMUboMs1myZAnGjh0rez/Hjx+Hm5sbxo4d2+VTlnnz5mHOnDkSVyYuKysLPXr0MMvAjWXNDLuPlq2DYLmzYiSl1+vNsj3pyJEj6dixY5SXl0cJCQldasPa2pquXbsmcWXidDpd69wuuXWbgNTU1FBxcbHSpZiFOQKi1+upvLyc/Pz8aObMmXTo0KEutRMdHU179+6lkpISiSt8cL8pKSmy99MtAuLh4UF2dnaPxP5atbW1lJ+fL3tApkyZQjt27CAiopycnC73N3ToUAoICKCNGzdKWd4DRUVFUV5eHmVkZMjaT7cISMv6gUchIBcuXCCVSkWPP/64bH3cG0JTj1gtF83mpNVqKTw8XPZ+u0VAiIicnZ1p9+7d1NDQoHQpstLr9eTv70+2tray9XH+/HmysrKigIAAam5upgsXLpgUkOnTp9OZM2fM/oWtkZGRlJqaKusXo3aLgCxbtoxOnz5NR44coYEDB9KaNWvIYDDI3q9KRfTf/33ntjmY6/qjJYS5ubnU2NhIg0zYs8vLy4tefjmd0tK8JKzywfbv308BAQHyLqaSfZzMRG+99RYcHR1x5MgRNDY2IikpCe7u7vDy8kJSUhKam5tl65sIcHUFLl4UbptDeHi4LBP97vbGG2/gxRdfBABs3LgRAwYMMLnNf/4T8PAAZHw52liyZAlcXFyQnZ0taz8WGxCj0YiFCxfCycmpdXbq9evXUVtbi1u3bmHp0qVwcXGBTqdDamqqJJPjjEbgyBEgL0/4MxHw9tvA6NHmC0jfvn2xdetWWfsYM2YM/vSnPwEQ1ttERESY3GZlJWBvD5hjyty6detgY2ODvXv3yt6XxQZkyZJVcHR0xNGjRwEAly9fho+PT5t317KyMsTHx8PR0RFPPfUUDhw40KW+Ll8G3n8f8PUFbG2Fd0NACEV5OdCrl3kCcuPGDRAR8vPzZe3Hzc0N27ZtAwBMmDABixcvlqTdqChg1ixJmrqvkydPQqPR4JNPPpG3o9ssLiBGIzB/PjBwYCNOnDgFANDr9XBzc0NMTEy7p1Q3btzAokWLYGtrizFjxnRo1VlVVRVSUuoQFgaoVMCTTwKffALcNZO8NRQffSTcjosDvvhCkqfZroMHD8LBwUHWtS8lJSUgotYZvd7e3li/fr0kbe/aBTg4ANXVkjT3MwUFBXB3d8fcuXPl6aAdFhWQpiZg2jSgXz/g/Hnh786fP49+/fph2rRpD1zw89NPPyE2NhbW1taIjIzExYsX72m/CTt27EBUVBTs7e0REbEWb70FdHSO3aZNwmlEbKxQq9SWL1+Op556CgBQV1eHsLAw7Ny5U9I+Dhw4ACcnJxiNRlRWVkKlUiEzM1OStpuaAK0W2LBBkubaqKmpQUhICMaMGWOWhV8tLCYg9fXA+PFA//5Ay3XXjz8CISF1mDs3vlMX46dOncLo0aOhVqsRFxeHPXv2YMGCBXBzc4ODgwOio6OxZ8+eLl3gnz0LeHoCzz8vnH5JwWAw4PDhwwgLC0N4eHjr9VRSUhLUajXi4+Ol6QhAYmIiRowYAUBYSKVWqyVdoffjj4DUy0EMBgMmT56MwMBAVFZWStv4A1hEQIxGIDJSCEfLm/7x44CzM/D668K/d8WJEycwbNgw+Pn5ITo6Gmlpaaivr+9SWwkJd2q7dAkIDASCgwFT5stduHAB77zzDgYMGACNRoPw8HA4OzsjKiqqdY3Hnj174OzsjGnTpkmyEOmVV15pnVy4evVqBAUFmdzmvYiA9967c9tU7777Lvr06SP7tVl7LCIgAJCSIvziAcCBA0DPnnf+kzvrH//4B3JycgAACxcuxJQpU0yqzWAQLkBdXYGWdUaVlUBkZD1CQibi1KlTHW7r8uXLiI+Ph06ng7W1NSIiIpCamora2loAQH5+PnQ6HYYMGdK6bY9er4e3tzeefvpplJSUmPRchg8fjhUrVgAA5s+fj+nTp5vUXnukHB5PSUmBra0t0tPTpSmukxQLiNi7zLhxwFtvda1do9EIZ2dn7N69G4CwE8b7779vQqV3JCYCarVwMd/SV8vio88///y+j6uqqkJSUlLr2vInnngCiYmJuHbt2n3vHxERAXd3d3z33XcAgJs3b+KZZ56Bj4+PSQuTPvroI5w7dw4AEBYWhqVLl3a5rfu5d3j85EnhmrKzlw7Hjx+HRqPBP1uGFRWgaEDu9y7TxbMgAMCVK1dARK2/fO7u7tiyZYsJlba1aZNwdPvLX/a3XiusX78eGo0GcXFxrSNQTU1NSEtLQ2RkJOzs7NC3b18sWrSowxfEzc3NiIuLg0ajwVdffQUAqK+vR0xMDBwdHbFdgs3m+vTpI8sGCPcOj7cExdYWCAkBoqOBv/wF2LevGlevXm23jStXrsDNzc3s2/zcS9GAyPEh3Pbt29G7d28Awi4bRITc3FzpOgBw9mwR+vXrh8mTJ6OmpgaAsFbaxcUFEyZMwDvvvAMfHx+o1WpMnDgRW7ZsQUNDQ5f6uvtCvSWQiYmJsLGxwfLlyzvdnsFgwKFDhxATEwNfX1+kpqZ2qS4x9w6PA8DNm8KHiCtWCKOAI0YAzz23HkQEFxcXjBo1CvPmzcPf//537N+/H0FBQYiIiJB1pkRHKBoQOT6E++ijjzBq1CgAwKFDh9CzZ09ZPlcoKirC8OHD2+wSkp2djYEDB2LIkCH49NNP22zPY4q9e/eiV69eePHFF1uvVf71r3/B3t4esbGxHRqFunDhAhYvXgwvLy9oNBpERkZizpw5UKvVkmyIUV3dtcGUsrIyHD16FImJiYiNjUVoaCjs7e0xYcIEyf7/TKFoQIC27zJSiIqKwmuvvQYAWLFiBZ588knpGr9HdXU1IiIi4OnpiVu3bqG6uho9evTADz/8IHlfOTk5eOyxxzBixIjWnUOOHTsGrVaLw4cPt/uYS5cutTsgcPdo2M6dO+Hs7Iw5c+Z0ebi3sREICxNmI0ihoaFBln21ukLxUayyMkDKo/zgwYORlJQEAJgzZw5mz54tXePtaG5ubp0Oc/LkSdjY2HR5KPlBSktLERYWhv79+7fueXvv5wKdHRAAgDNnzsDT0xMRERGoqqrqdF0xMYC/v3Aa9bBRPCCZmYCVFXB7YMUkDQ0NsLGxwfHjxwEAI0aMQEJCgukNd9Bnn30GnU4nax8NDQ14+eWX4eDggLS0NABtBwQ0Gg3c3d07NSAACKeM77wTiays4aiv7/jGcidPnoarqzSvnyVSPCAAMGEC8NJLprej1+uhUqlQXV0Ng8EABwcH7N+/3/SGOyguLq51GrmcjEYjlixZArVajRkzZsDb2xu2traYNGkSvv766y4PCBiNTbhyZS7OnnVCRcU3D7x/ZeVuZGSocf368S711x1YREDOnBGOIqZO7V+3bh28vb0BCB+4EZHJH6x1xrPPPts6jdwcNm7ciMWLF2PVqlWSXtCWlCQiI0ONoqL7f0ZSW/sDzpxxQElJ50fSuhOL2DguJIRo7FiiDz8kWru26+3cvRpPr9eTVqslrVYrUZUPZm//KwoO/qXZ+nvhhRfohRdekLxdrXYB2dj0o59+mkkqlQ25uf3Xz+7T2FhIrq5RpNXGSd6/JbGYJbfvvUf01VdEOTldb+PegJhjb6kWxcVEO3YsIp3uabP1KScXl0h67LEj5OIytd1/d3YeRwMGJJm5KvOzmIA89RTR6NFEy5Z1vQ0lA6LXEzk5Ef3iF2brUnb29sNIrRbWmRcXf0g//vgflJGhoowMMy3QtwAWExAiorffJvryS6Lr17v2+LVr19Lo0aOJSJmA6HTm29zB3IqLl5FW+zoNGpRPQ4c+GjtcEllYQMLCiA4cEL5CvCtGjRpFffr0odLSUsrNzTV7QMzYndl5e6+j2trTdPFiKBUU/F7pcszGogJCRPSf/9mx7XZqa4n0+nravHkzLVu2jF599VUKCwsjDw8P6tOnD3l4eNDu3bvNVvfDHhBn53Hk6/s1+fntoNLSO5u1lZVtoPp6Ey4cLZxFjGK159NPiWbMEG6fOkWUnk6Um0uUlyf8FBYS2dsbycVlAfn5+ZGfnx/9+te/pvnz55O/vz/duHGDoqKiSK/X0xdffEH29vay1tu3rzAa97BobLxCJSV/pf79PyaVSt163WFl5dJmVKuycjtdvTqPfHw2kaPjc0qVKxsVYHlbpqtUwvXId98Jp1wrVxLt2kXk4/PzH7Hf+/z8fBo/fjw5OTnR1q1bqW/fvuZ7Et2YwVBO2dkjyd5+GHl7t7+DusFQRVZWTkQEun59CRUXLyXv3n8nlwFm+M4Oc1L6g5j2SDnTt+U7/zw8PGT7ju32Fn/dXbdl/i/fR3Mz8i+Ox/nzwTAYhKn81669h9rau+eSGHHhwnBcuTIXRqOwCqrs5noYgwKAN94w3+5xZmCRL53UM32bm5uxaNEi9OzZE19//bXpDd6jvcVf3TYgCxagcdpoNDQIy32Liz/G2bO9UFd3vs3d6uvzkZmpQ3Z2KJqabs9W+PFHwMsLGDNGmIX6ELC4l07ONx8pdwm5e/loe4u/iNr+dAsJCcJyydszhasqDiAjQ43y8vZ3emxquomLF0fh1ruRd3a0uHIFGDIE+PJL89QsM4t66Q4eBHQ6YX2BXFpW/s2aNavTk/pKSoR16UOHAs88c+fv2zsl7HZHkLIy4Qm0bCKXnQ2jvy8qzq0Uf1xzI/DKK4CLC3B7HwCT1kxbGIt56YxG4RfvzTfl7ys3NxcBAQEIDQ194GTGxkYgLQ148UXAzk7Y1G7hQmF/rBbtnRJ2u4AAQMtXOBcXA7/4BTBvXscf+7//K+xocfcp7OHDwiZinp7C7W7IYl66TZuEfbDMteimrKwMo0ePvu8uId9//z3mz5+PZ5/9M5ycgJdfBvbvF7YAeui99hrw7LOdP5Tv3QvcveBq8GDgm2+A7duF292QRQSkqQkYOBD4n/8xd79NiIuLa90lpLCwEEuXLoVOp4OVlRV+85vfYMOGVNxeBv5wau9dvq5Omm0jNRqgoUE45dJoTG9PARbxQWFyMlFlJdF//XxWtaysra0pOjqabty4QbNmzaKysjLS6XQ0e/ZsioqKInd3d/MWpIT584lWrRI+fJo/n+jcOSKNRvgxlZ8f0d69Qtv+/qa3pwSlE1pfX4+JE+OxYkXXvqfbVG+//XbrDhoJCQkY3E1PBbpMznf5AweE/WT79zfPF4fIQPEjyMqVK+ncuRTauHGxIv3r9XoKDg4mV1dXqq6ufjSOGneT813+ueeIrl6Vtk0zUzQg5eXl9Oc//5kSEhJIrVYrUoNer6fo6OjW2+acAWwRli8nmjlTuJ2crGwtFkjRgHz88cfUr18/mtEyK9HMqqqqqKCgoM0iq3HjxilSi2Iegnd5OSkWkMLCQkpISKB169aRlZWVIjVkZmaSra0t+fv7U319PeXl5T16RxAmSrH1INu2bSOdTkcTJkxQqgSyvnSJFoweTdbW1nThwgUCQDqdTrF6mOVRdLp7RUUF9erVS6nuiV57jaiqiig5mWo3bKCy9eup/7ZtytXDLI6iKwoVDQdRm2WA9hkZ1F+hgQJmuSxuya1Z3b1O9mFfM8u65NENyLVrROXlHBAm6tENiF5P1Ls3kYcHUWmpsNcQB4Td49ENSGEhUVCQcDszk6hnT2GRO2N3schNG8wuN1eYbjFvntKVMAvz6B5BiIS9hLy8hD1PBw1SuhpmgR7tI0hQkLClfMs+Q+fOKV0RszCPdkDs7ISFKABRr15EdXVKV8QsjOLT3RX1MCzoYbJ6tAPCU73ZAzzap1iMPcCjPYrF2ANwQBgTwQFhTAQHhDERHBDGRHBAGBPBAWFMBAeEMREcEMZEcEAYE8EBYUwEB4QxERwQxkRwQBgTwQFhTAQHhDERHBDGRHBAGBPBAWFMBAeEMREcEMZEcEAYE8EBYUwEB4QxERwQxkRwQBgTwQFhTAQHhDERHBDGRHBAGBPBAWFMBAeEMREcEMZEcEAYE8EBYUwEB4QxERwQxkRwQBgTwQFhTAQHhDERHBDGRHBAGBPBAWFMBAeEMREcEMZEcEAYE8EBYUwEB4QxERwQxkT8P+BUPR2NySKGAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
       "      <td>2.8494</td>\n",
       "      <td>459.572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80636</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.866667</td>\n",
       "      <td><img src=\"data:image/png;base64,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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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12</td>\n",
       "      <td>0.838710</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>0.9734</td>\n",
       "      <td>504.613</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "   molregno                                                            smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    mol    logp       mw\n",
       "0    410802    CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12    1.000000                                                                                                                                                                  <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  1.6109  474.587\n",
       "1   1351310      CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12    0.881356              <img 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\" alt=\"Mol\"/>  3.2395  473.599\n",
       "2   1351311       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12    0.881356  <img 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\" alt=\"Mol\"/>  2.8494  459.572\n",
       "3     80636       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12    0.866667                              <img 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\" alt=\"Mol\"/>  1.2687  460.560\n",
       "4     80694  CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12    0.838710                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  0.9734  504.613"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>216</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><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>1.0225</td>\n",
       "      <td>519.628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>1353818</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cccc(Cl)c3)nc12</td>\n",
       "      <td>0.5</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>2.9295</td>\n",
       "      <td>302.765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>140451</td>\n",
       "      <td>CCOc1ccc(S(=O)(=O)N2CCN(CCO)CC2)cc1-c1nc2c(=O)n(C)c(=O)n(CC(C)C)c2[nH]1</td>\n",
       "      <td>0.5</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>0.4436</td>\n",
       "      <td>534.639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>1353816</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3ccc(Cl)cc3)nc12</td>\n",
       "      <td>0.5</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>2.9295</td>\n",
       "      <td>302.765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>1334770</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3ccc(=O)[nH]n3)nc12</td>\n",
       "      <td>0.5</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>0.3594</td>\n",
       "      <td>286.295</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "     molregno                                                                   smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        mol    logp       mw\n",
       "216    453288          CCCc1c2nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)cnc3OCCOC)[nH]c(=O)c2nn1C         0.5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  1.0225  519.628\n",
       "207   1353818                                CCCc1nn(C)c2c(=O)[nH]c(-c3cccc(Cl)c3)nc12         0.5  <img 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\" alt=\"Mol\"/>  2.9295  302.765\n",
       "208    140451  CCOc1ccc(S(=O)(=O)N2CCN(CCO)CC2)cc1-c1nc2c(=O)n(C)c(=O)n(CC(C)C)c2[nH]1         0.5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               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       "209   1353816                                CCCc1nn(C)c2c(=O)[nH]c(-c3ccc(Cl)cc3)nc12         0.5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          <img 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\" alt=\"Mol\"/>  2.9295  302.765\n",
       "210   1334770                             CCCc1nn(C)c2c(=O)[nH]c(-c3ccc(=O)[nH]n3)nc12         0.5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAYAAACtWK6eAAAXwElEQVR4nO3deVhVdf4H8PcFWcQERGRRMNFGBbNFVHDJMWVIXNLSQacJsRTtMYXyN7k8LUxlEznYXEtncn3GJVNbFUJyyVEUMFQacjRKIMcwFAXFZIf3748zXBbxpHjvPYf4vJ6Hh3vOxfP9ILw5y/d7vsdAkhBCNMtG6wKE0DMJiBAqJCBCqJCACKFCAiKECgmIECokIEKokIAIoUICIoQKCYgQKiQgQqiQgAihQgIihAoJiBAqJCBCqJCACKFCAiKECgmIECokIEKokIAIoUICIoQKCYgQKiQgQqiQgAihQgIihAoJiBAqJCBCqJCACKFCAiKECgmIECokIEKokIAIoUICIoQKCYgQKiQgQqiQgAihQgIihAoJiBAqJCBCqJCACKFCAiKECgmIECosFpCSkhL06tULZ8+etVQTQlicxQLi7OyM8+fP48cff7RUE0JYnEUPsTw9PVFQUGDJJoSwKIsGxMvLSwIiWjWLB+TChQuWbEIIi5I9iBAqJCBCqJCTdCFUSECEUGGVk3SSlmxGCIuxeEAqKytRVFRkyWaEsBiLBsTb2xsA5DBLtFoWDUj79u3h7OwsARGtlsVH80pnoWjNrBIQ2YOI1kr2IEKosHhApC9EtGYSECFUyDmIECokIEKosHhA/P394efnh3nz5iE3N9fSzQlhVhYPSM+ePbFs2TLk5uaiT58+CA8PR0ZGhqWbFcIsrDLtz4gRI5CUlITs7Gx4e3tj5MiRCAwMxKZNm1BdXW2NEoRoEQM1GGpbWFiIVatWYeXKlXBxcUF0dDSioqLg5ORk7VKEUKVJQOpcv34d77//PpYvX47i4mLMnTsX8+bNg7u7u1YlCdGIpjMrdujQAbNnz8bp06exfv16JCcnw8fHB9OnT0d2draWpQkBQCdTj9rY2GDChAlIT0/Hvn37UFxcjH79+pnWCaEVXQSkoeHDhyMhIQGZmZno2rUrHn74YdM6uTNRWJum5yC3IicnB2+//Tb++c9/IiAgADt37kTXrl21Lku0EboPSJ1Lly5h5syZcHZ2xubNm7UuR7QRujvEuhl3d3eMHj0aOTk5Wpci2pBWExBAxnUJ65OACKGi1QWkrKwMV69e1bqUNs1gAF55pf51w89NX7d2rS4ggEwjpAerVgHffad1FZbXqgLi7OwMJycnCYgOzJkDzJ3beJ3B8OvaewCtLCCAnIdY0/HjwJ//DPTrB8ye3fi9hQuV9xsilY9fEwmIaOTECSA2FnjgAWDgQGDXLiA8HIiObvx1rq7AokVaVGhd7bQu4HbJNELm9fPPwO7dQEKC8rmsDBg7FliwQPnc3MDqur3E4sXKx5UrQF7eje//GsgepA1oetXpwgVgzRpgwgTAwwOYPx9o3x7YsAEoLAR27ACmT28+HM15911g2DDg5EnLfQ9aaXV7EE9PTxnh2wKrVgFPPqm8njYN+PZb4NFHgY8+AkaNAhwdW77tl14Crl0DhgwBPvkE+N3vzFOzHrS6gMgepGUaXnXavl3ZO9iY6fjBYACWLQM6d1b2Slu2AFOmmGfbNygoAP53uR8AcPAgEBGhvN68Gfjtb83anASkjVi4EPDzU157eFimjUWLlN/dJ59UzktmzTLDRmtqgJQU5SRp505lwxcuALa2yvvz5wN//7uS0vnzgawsMzTaAFuZo0eP0tbWltXV1VqX0mrU/ZTffLP+tSVt3kw6OJCrV5e2bAM//USuXk2OH086OZHOzmREBLljB1lU1PhrHR3JigqyvFx5bWatLiBnz54lABYUFGhdilCRmFjNe+4ZzVdfffWWvv78+fN87733mPbMM0q6XFzIP/yB3L6dLCm5+T+8914yIYFMTCT79zdP8Q20uoCUl5fTYDDw66+/1rqUViEjg/T1JSsrtWg7g126dGFkZCSrqqpueD87O5txcXEMDg6mjY0Nu3XrxjWLF5PJycpeoTmlpeTnn5O1tcry/v2kj4/y8eWXZv8eWl1ASNLNzY3Jyclal9EqGI3kwIHatX/q1Cn6+vpy4sSJLCsr4/Hjx7lkyRL6+/sTAB944AG+/PLLPHbsGGvrfumbKipSjtsmTyY7dCDd3MjcXKvU3+pO0gE5Ub8daWnK5dc6X34JdOoEPPigddr39/fH4cOHERoairCwMPTo0QPXr1/H4sWLMXbs2JtP8fTtt8C2bUBiIpCZCfTpo3TpL1miFG+uS3C/QALyK5eWBsTF1S/HxgLjx1svIADQvXt3HDhwAI888giqqqqQmJgIV1fXG77u1KlT2LlzJ+wzM/F/H32kDAKbNAlYvRoIDLRewQ1ZZT9lRrm5ufT396e3tzc3btyodTm6du6cctUqL09ZrqhQLvQcPKhNPUVFRRwyZAi/+OILkmRNTQ3T0tK4cOFC9u7dmzY2Nhw2bBhXLF9Ofv+9NkU20aoCkpKSQjc3N06ZMoULFiygvb09x48fzzNnzmhdmi59+CHZrVv98tGjpL29cp6rhdraWrq5uTE+Pp5z5syht7c3HRwcOHbsWK5Zs0aXVyZbzVisHTt2ICQkBFFRUdixYweWL1+OnJwcdOrUCf7+/oiJiUFJSYlm9TV3l53W0tKAoKD65dRU4P77lXFXWsjOzkZxcTEcHBxQUlICo9GIwsJCfP7554iKioKnp6c2hanROqG34t1336WdnR2NRmOz7+/bt48BAQGmw66bXg2xIEC5uJKdbZ3OuFsRHEz+9a/1y+HhZHS0dvVs2LCBvXv31q6AFtDJj7J5NTU1jI6OZvv27fnJJ580em/VqlWmY1mSrKyspNFoZMeOHTlo0CAePXrUqrUC5JIl5OjR+ghIeXk5hw+fxtTU86Z1vr7kBx9oV1NUVBQjIyO1K6AFdPCjbF5lJbl48S46Oztz7969pvU1NTX805/+REdHR3700Uc3/Lv8/HxGRETQxsaGERERLCwsNHttpaXkzp3k00+Tly4p6wCyuJh0ddVHQI4cOUIHBweWl5eTVP5f7r03mHl5xZrVdO+99/K9997TrP2W0MGP8kYlJeQjj5B+frXMyvrWtP769eucOHEiPT09+dVXX6lu41//+hf79+9PNzc3Go3GOx671bSvqnNnMjKS/OEH5X1rj3f6JfHx8QwODjYtb9++nd0anrFbWVFREQ0GA7OysjSroSV08KNs7OxZMiCADAxUxqzVKSgo4KBBg9i3b1/m3mIvalVVFY1GI11cXDhgwAAeOXLktmr58cdrXLmSDAkh7ezI7t2VY/j9+8lmRk6YVFSQ8+aR58/f/GssbfLkyXz++edNy8899xynTJmiWT3Jycl0cXFhTU2NZjW0hK6uYmVmAsHByrDsgwfrh/3n5gJTpjwPg8GAgwcPwq9u3PYvaNeuHWJiYpCTk4Phw4djxIgRmD59uuotu5mZmXj11VcRGBiIgQP7Ys0aIjgYSE8Hzp4FVqxQbjBqp9LFWl2t1Dx8uPJZC2lpaRjSoAu96bIW9QwePBg2VuoBNxutE1onKYm86y5yzhyy4dHQsWOkpyc5c2YRr1+/fkdtZGRkMCgoiK6urjQajayqqmJJSQl37NjBiIgIuru7m/pWNm7cyIsXL7a4repqctYs5cpWevodlX3bfvjhBwJgfn4+SbK0tJR2dnZMTU21biENhIaG8pVXXtGs/ZbSRUB27FB6eBcurB+k2XB9bGzj9XeiqqqKb7/9Nl1cXDh48GA6OztbrLOqtpZ84QUl+A2uM1jcBx98QF9fX9Py4cOH6ejoaDpht7bq6mo6Oztz9+7dmrR/J3QRkA0byJUrG69buVK5LWDtWsu0eeTIERoMBq5bt44lavcb3KZDh8itWxuvi4tTvpePPzZbM6qio6MZHh5uWv744485btw46zTejKysLNrY2LC4uFizGlpKs4AA5Msv179uaOlSsn17ZaiEuSxdupQzZswwLVuq0+qDD5QwvPtu4/V/+1tdSO7sMPFmSktLuWvXLj799NPs06cPH3vsMU06TJuzevVq9uvXT+syWkTTM6abze/q4wPs3WveG/9TUlLg6+trWrbUSeu0aUByMvDii0BMTP0cUc89B2zYUIFnnw3CP/7xD7O0VVxcjC1btmDKlCno0qULpk6disuXL+P3v/89Dhw4gBkzZujiOfRaXyC4I1ol05o9zzU1NXR1dWVSUpJpnaU7rTIyyC5dyOnTG18S3r9/Pzt27Mjo6OgW/YU/deoUY2NjGRgYSBsbG/r4+DA6OpopKSmN+npOnz7N7t27c9SoUWY9hGyJPn36cP369ZrW0FKaBsRaPc8nT55sdAxsrU6rr78mvbzIqKgyVja457XuVtTp06c3eytqQ7W1tUxJSWF0dDR79uxJAAwMDGRsbCxPnjyp+m/z8/PZv39/Dho0yCIjCm5FYWEhDQYDT58+rUn7d0rTgJDW6Xles2YN/f39TcvW7LQ6c4YcNep5jhs3jqUNxpnX/YV/9NFHG60nyYqKCu7atYuzZ8+mr68v7ezsGBISQqPRyLy6mztu0eXLlzlkyBAGBATw3Llz5viWVGVlZfHKlSum5YSEBLq5uenmfOh2aXYOQirnH7a2lp/LNS0tDUOHDm20bK1Oq169gA8/fAmXLl3CiBEjcOnSJQBA3759kZaWhry8PISFhSE/Px+bNm1CeHg4vLy88Mc//hHFxcVYunQpCgoKsHfvXsTExKBHjx631b6bmxv27t0LHx8fPPTQQ/j+++/N+v3V1NTg4MGDWLBgAXr16oUHH3wQhw4dMr2flpaG4OBgGPRyD8Dt0jKd331H2tqSp05Ztp2+ffty3bp1puXQ0FDGxsZattEmrl27xpCQEPr7+/O///2vaX1BQQEDAgLo4+NDFxcXTps2jdu2bePVq1fN2n5FRQXDw8Pp6enJzMzMO9pWcXExN27cyPHjx9PJyYkuLi6MiIjgrl27bujMffjhh/n666/fUXta0rwfZMwYcu5cy22/7hj4P//5D8n6TistZkUpLy/n5MmTeffddzM7O9u0Pjo6mmPGjGHFzaa6MZPq6mrOmTOHrq6uPHTo0G3923PnztFoNHLYsGG0tbW96cWBhsrLy9mhQwfu27fPHOVrQvOAfP65Mnne5cuW2X5iYmKjY2CtO60qKio4derURvfTBwUFMT4+3mo1xMXF0cHB4YZ7bJo6duwYY2NjGRAQcMsXB8rKyrhr1y7OnDmT7u7uHDdunOZX0e6E5gGprSX79CGXL7fM9l988UWGhYWZlvXWaaXVOKl33nmHdnZ23LBhww3v7d69m/3796fBYGBgYCBff/111St++fn5NBqNDAkJoYODA7t16/aLe5fWQvOAkOQ775A9ejQepGguo0aN4muvvWZanjFjBqOioszfUAulpKRoNk5qy5YttLe35/Imf52ysrK4cuXKRudKTZ0+fbpRf4y/vz9jY2N57NixVjekXY0uAlJSokzFunOnebdbVVXFDh06NLojsXfv3s3+1dTKW2+9xWHDhmnWfkJCAtu3b89Fixapfl3T/hiDwcBhw4bRaDQyJyfHStVany4CQpIxMcqNSeZ04sQJ2tramo6BL168qLtOq0mTJvGFF17QtIb09HR27tyZc+fObfTXv2l/jLluBWhNdBOQ778nbWxIc3Zur1q1ivfff79pOSEhge7u7rrqtPLw8PjFk2VrOHnyJLt168apU6eaQuHl5UVHR0eOGzeOa9eu5YULF7Qu0+p0c3vXPfcAYWHKAEZzae6uuqCgIN10WuXlnUdJSQmCg4O1LgX9+vXDvn37cOHCBURFRcHR0RGbN29GcXExEhMTMWvWLHhY6sk7OqaruXnnzwcefxx44w3lcV53Kj09HS+99JJpOTU1FSEhIXe+YTNJTe0KH58SeHvbaV0KAKV3/8CBA6iurkY7tXuK2xDd7EEAIDQUuPtu5Wmr5pCeno7JkycDAKqrq5GRkaGrYddHjgBBQfoIR0MSjnq6+p8wGID4eMDFxTzb69xgN5SVlYWKigoENZyLU2OpqUBUlNZVCDUGUp+PfTcYgJdfBl57TXl9q1WWl5fjwoUL+Omnn3Dx4kUUFBSgoKAAKSkpyMvLw5kzZyxb+C26dk15TkdGhnUfRSBuj64D4uamTMDcp4/yC/Xjj8oDTht+vngROHcOcHdfiH37VpsmsLa1tYWHhwc8PDzQtWtX3HXXXUhKSsJTTz2FFStWaD79zP79yqMvrlypf2Cr0B9dHWI11fDZ3h07KqHx8FA+vLyUD09PYMAAwNf3D3jmmd/By8vLFIymV6tOnDiBsLAwnDt3Dtu2bYOjo6MG35UiLQ0YNEjCoXe63oMUFyuTyF25Apw/rwTjTn+hcnNzERoaCl9fX+zcuRPOzs5mqfd2jRsHPPCAcsVO6JeurmI15eqqPJweALy9zfPXtmfPnkhJSUFRURFGjx6NwsLCO9/obaqtvfHZgUKfdLsHsbTi4mJMmDABly9fxp49exrNeGJptbXKVKb9+yuHjkK/dLUHOX0aeOIJoKrK8m116tQJe/bsgZ+fH4YPH47s7GzLNwrl0PHPfwaGDgXqju4anirppJNf/I9uAkICs2cDdnbKhzU4OTnhs88+w9ChQzF06FAcPXrUKu3ebD4woT+6Ccj27cA33wDLllm3XXt7e2zduhWRkZEICQnB3r17Ld5mw6tzdQwG2XvoknbjJOtdu6Y8jdWKd502q+5W1A/NNOdpZSW5Zw/57LPk++8r65qbD6zhT0EfPxFRRxf9IG+8oXQKxsRoW8eiRYvQsWNHPPHEE7hy5QpmzZp129soKVGmHv3sM2D3buV8Kiys/lknQP3VuSVLzFa6sBStE/rtt8qzu/fv17qSelu3bqW9vT2XLVt2S19//vx5rltXyjFjlAmq3dyUx7N99pl2zyQX5qH5Zd7QUGVw4ocfalnFjfbv34/HHnsMc+fOxZtvvnlDr3xOTg4+/fRTfPrpp0hPT8fYsZnw9b0Pjz8OjByp/gQq0Ypomc6kpGSGhLzFW3zkoNV99dVXdHd3Z2RkJCsrK033ZPv5+ZnuyY6Li/vFOXJF66XZHqS0tBT+/v6IiopqdFOTniQmJuLo0aNYu3YtOnbsiNzcXAwZMgQTJ07EpEmT8Jvf/EbrEoWFaXYgEB8fD0dHRyxcuFCrEn7R1q1b4ebmhn//+9/Izs7G4cOH0aFDB8RofTVBWI0m/SB5eXmIi4tDfHw87O3ttSjhlqSmpmLIkCHw9PTEiBEj8MUXX6C0tFTrsoQVaXKINXnyZFRUVCAxMdHaTd+y/Px8+Pj4IDc3F35+fqisrISrqyuSkpIwcuRIrcsTVmL1Q6zk5GQkJSXh5MmT1m76tqSlpcHb29v0TPasrCxUVVVh8ODBGlcmrMmqh1gVFRWIjo42PUtCz5pOGZSamor77rsPTk5OGlYlrM2qAfn555/x0EMPYfHixdZstkXqzj/qNH0Ij2gbrBqQzp07Y/369eio85sgysrKcPz48RueSqWnKYOEdehmNK+eXP/mG8QFBWHAgAEAlBP2s2fPSkDaIBkQ0Qz3Q4ewoKYG+N+kDjZff40NY8aYTthF2yF7kOY0uWHc+8ABPCUn522SBKQ5R440nlEhNVVmWGijJCBN/fCDMitd3Ql6eTlw4oQEpI2SgDSVmgp07w507aosnzihfB44ULuahGYkIE2lpdXvPQAlMAMGAA4O2tUkNCMBaarpjG5NAyPaFAlIQ9XVwKVLQMNHJDQ9YRdtivSDNNSunXKSXufqVWVyYB08Ik1oQwLSnIMHgYgI5fXmzUC3btrWIzSj+aQNunTffcBf/qLM5LZkCZCVpXVFQiMSkOa0b68cXpHKJFZlZVpXJDQih1jNueceYM8eZQ8iEzO0aRKQ5qxYAURGKq83bdK2FqEpOcQSQoX0gwihQgIihAoJiBAqJCBCqJCACKFCAiKECgmIECokIEKokIAIoUICIoQKCYgQKiQgQqiQgAihQgIihAoJiBAqJCBCqJCACKFCAiKECgmIECokIEKokIAIoUICIoQKCYgQKiQgQqiQgAihQgIihAoJiBAqJCBCqJCACKFCAiKECgmIECokIEKokIAIoUICIoQKCYgQKiQgQqiQgAihQgIihAoJiBAqJCBCqPh/IVK9VF06W/8AAAAASUVORK5CYII=\" alt=\"Mol\"/>  0.3594  286.295"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sort(columns=['similarity']).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Simple plotting using the table columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>217.000000</td>\n",
       "      <td>217.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>487.381023</td>\n",
       "      <td>2.263238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>91.319758</td>\n",
       "      <td>0.965502</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>448.589000</td>\n",
       "      <td>1.548900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>491.614000</td>\n",
       "      <td>2.286600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>533.448000</td>\n",
       "      <td>2.894700</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>"
      ],
      "text/plain": [
       "               mw        logp\n",
       "count  217.000000  217.000000\n",
       "mean   487.381023    2.263238\n",
       "std     91.319758    0.965502\n",
       "min    268.320000   -0.048300\n",
       "25%    448.589000    1.548900\n",
       "50%    491.614000    2.286600\n",
       "75%    533.448000    2.894700\n",
       "max    866.980000    4.731700"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['mw', 'logp']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "rcParams['figure.figsize'] = 12,12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5051e60d10>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mLL/M0n3KrPYOwCq1dwAWq70DsIL73vgsvwAAbIbOLySj85vJiHOZKY8R59L5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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f505110a3d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['logp'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f5050f37f90>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ueNT4wsJC9uz5k/niF39p018LwM3ZpAdQs+pq8K5dezMxcTAnTz61oYD78ssvr60gb3z1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\nGCjIAAAwUJABAGCgIAMAwEBBBgCAwRdqSsjCCjvIWwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f505065b090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter(data['mw'],data['logp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>74</th>\n",
       "      <td>487046</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>852.997</td>\n",
       "      <td>2.6245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>487045</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>866.980</td>\n",
       "      <td>2.7168</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "     molregno                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            mol       mw    logp\n",
       "74     487046                                                                              <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  852.997  2.6245\n",
       "105    487045  <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  866.980  2.7168"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['mw']>800][['molregno','mol','mw','logp']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Substructure search within the table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "qsmi = 'c1nn(C)c2c1nc[nH]c2=O'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "qmol = Chem.MolFromSmiles(qsmi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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T30ZILpeL3bt3k5eXZ3YU8WMqQrGFBQvgmWfgNpv/F9urVy/Onj3Lzp07yz3vbyOke++9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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f5051e5b590>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "subset = data[data['mol'] >= qmol]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 6)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12</td>\n",
       "      <td>1.000000</td>\n",
       "      <td><img src=\"data:image/png;base64,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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>1351310</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>3.2395</td>\n",
       "      <td>473.599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1351311</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80636</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.866667</td>\n",
       "      <td><img src=\"data:image/png;base64,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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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12</td>\n",
       "      <td>0.838710</td>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAYAAACtWK6eAAAX4klEQVR4nO3dfVhUZd4H8C8DIqjogAq+i29ZuFjrW0+BoWQWq5KZkNZKuRLlulpbKVe79rL2aGha2lVtZS1aaW7PWgokq6SIhJYpJmphlkWmKaiAyjvD9/njbhxUPMHMnDkw/T7XxeUg59znh57vnPs+5z5nPEgSQogGmYwuQIjmTAIihAYJiBAaJCBCaJCACKFBAiKEBgmIEBokIEJokIAIoUECIoQGCYgQGiQgQmiQgAihQQIihAYJiBAaJCBCaJCACKFBAiKEBgmIEBokIEJokIAIoUECIoQGCYgQGiQgQmiQgAihQQIihAYJiBAaJCBCaJCACKFBAiKEBgmIEBokIEJokIAIoUECIoQGCYgQGiQgQmiQgAihQQIihAYJiBAaJCBCaJCACKFBAiKEBgmIEBokIEJokIAIoUECIoQGCYgQGiQgQmiQgAihQQIihAYJiBAaJCBCaJCACKFBAiKEBgmIEBokIEJokIAIoUECIoQGCYgQGiQgQmiQgPyK8vJy/P3vf0dFRYXRpQgD6B6QDRs2YOzYsXpvRjeVlZVITU3F5MmTUVNTY3Q5wsV0D0hVVRWOHj2q92Z0ExAQgG3btuGHH37A5MmTUVtba3RJwoV0D4iXl1eL36k6deqELVu24MCBA5g+fTrq6uqMLkm4iO4BadWqlVt0Tbp3746MjAxs3boVs2fPNroc4SJeem/AXQICAP369cPmzZsxatQoBAQE4LnnnjO6JKEzCUgThYaGIj09HWPGjIGfnx/mzZtndElCRxIQO4wYMQIbNmzA+PHjYTabkZCQYHRJQicSEDtFRkZi3bp1iI2NRfv27TFlyhSjSxI6cMkgvaWfxbqa6OhovPLKK5g+fTq2bt1qdDlCBy45zVtXVweLxaL3pgwRHx+PadOmSUDclEuOIADcsptldfToUZhMMmvHHbksIO7azSouLsaOHTswYcIEo0sROpAjiIPS09PRsWNHDB8+3OhShA50D0hAQAAiIiIwf/58nDlzRu/NuVxmRgaioqKki+WmdP9fNZvNWLp0KQ4dOoT+/ftjyZIlqKys1HuzrlFTg9fT0vDCpElGVyJ04pK3vWHDhmH79u34z3/+g3Xr1qFfv3548803W/64JCsLnhUV6HjrrUZXInTiQZKu3GBdXR3Wr1+PefPmwcfHBwsWLEBMTIwrS3CeRx4BCgqADRuMrkToxOUdZ5PJhJiYGHz11Vd44IEH8OCDD2LMmDHYt2+fq0txXGoqEB1tdBW/XVlZQK9e6isry/b3Hh4Nv7YHDXb69GkmJibSx8eHMTEx/P77740uqXHOnyfvvJP8+WejK/ntCg0lU1PJtDT12qr+bu3gLu7yLtbV5OXlYe7cudi5cyfS09MRHh5udEmiufP1BUpLARIwmwHrcwMuP2o4sIs3m3OTgwcPxubNm/Hggw82/xuSrnZoF67Vvz+wZQvwySfAgAGX/kwdOxzehO6zeZsqNDQUn3zyidFlaJs9G3jtNfVONXs2kJdndEW/TStWAPffr16/844um2h2AWkR0+OPHAHGjlXvUJMnG13Nb4fFokIxc6bqXkVGAseOXblc/SOHg0cRCYg9rId2D48rD+1CH9XVwH33AZ99BkycCPTt65LNSkDs4YJDu7uorq7Giy++iE2bNiEqKgrR0dEYNGhQ0xo5d06dTj97Fti9G+jaVZ9iG9BsBulWLeIxQdZD+7FjQEQEEBWlromIS5SVlSE6OhorV67EDTfcgPfffx+/+93vMGDAADzxxBPIysr61fuESkpK8K9Zs8Bz59RR24XhAOQI4jiTCZg6FYiJAT78EPjDH4yuqFkoLCxEVFQUvL298cUXXyAgIAAAUFRUhPT0dKSlpWHChAmwWCyIjIzEhAkTMHHiRAQGBl7Sxu233w4fHx/cvXUrOvj7u/4Xcegqig4yMjJoNpuNLqPpkpJIX18yK8voSgx34gR5550JDAsLY3Fx8VWXKy8vZ0ZGBufMmcPu3bvT09OTYWFhTEpK4pYtWxgcHMyJEyeysrLSdcVfptlcKLTKysrCuHHjcOHCBaNLabrZs/Hlt9+i1dKlTepnl5WV4fPPP0d2djYCAwNx9913X/JO2pJ89506wXf99efx3nueaNOmTaPWs1gsyMnJQWpqKlJTU+Hh4YGQkBCsXbsWrVu31rnqq2t2Adm5cydGjx6Nqqoqo0tpOhJxcXHYlpmJnJwc9O7du8HFCgsLkZOTg+zsbOTk5CA3NxdeXl4YNmwYLBYLKioqkJmZCbPZ7LLSjxw5guzsbPj6+uKOO+6Avx3dmc8+A8aNU+Ppt94CPD3tr+fChQto166d/Q04i2HHrqv4/PPPaTKZjC7DbrW1tbznnnvYt29fnjhxghaLhXv27OHy5csZExPDrl27EgBDQkI4bdo0vvHGGzx48CBra2tJqm7HqFGjOGLECJ47d84lNX/55ZcMCgrirbfeym7dutHLy4sRERF84YUX+M03xxvVRkkJ2akTef/95C+/iltodgHJzc0lAFosFqNLsVtFRQVHjRrF0NBQdunShR4eHgwJCWF8fDxXrVrFb7755uKyp06d4vr16/noo49y9uzZJMnS0lIOGzaMo0ePZkVFha61btmyhW3btuW8efNYV1dHkjx48CCTkpIYFhbGG27Yzt69yYQEMiWFrK62rQuQTz1le52dTf7ShNtodgEpWL6cnQFWJycbXYpD1qxZQ39/f6akpPDMmTMX//7IkSNctWoVZ8yYwYEDBxIAO3XqxAkTJvDll1++uFxRURFDQkIYHR3NmpoaXWpcv349W7duzaSkpKsuc/gw+cIL5KhRpJcX2b07uX+/+hlABgSoZZpfX8Q5ms+vdfasmj4O8EJQkPoXHzuWPN64Q3xzExcXxz/96U8kyQ8++ICxsbEXu1cDBw7k9OnT+fbbb/Prr7+++M59uZ9++onBwcH84x//6PQjanJyMlu1asV//vOfjV7n7Fly7VqyrEx9D5BPPkneeqsERF8HD5LXXWedf6lOl1pfd+1KpqcbXWGT1NTUMCAggB999BFJ8tVXX+XcuXO5ceNGFhYWNqmtI0eOsEuXLpw1a5bT6nvppZfo7e3NtWvXOtQOQBYXk2azBEQ/y5eTrVurf2GTifzzn8l77iEff1x9bw3KtGmkiwatjtqxYwfbtGnDMutbrYPy8vIYEBDAZ5991uG2EhMT6evry7S0NIfbsobi+eclIM5XUkJOmmQLQFCQCoc1LPHx5NatZM+etmWCgx2/EHf5yFIHc+fO5bhx45za5q5du9iuXTsuW7bMrvXr6uo4e/Zstm/fnllyMbPRjAnI/v3kNdfYdvybbiJjYi7tYr35plq2pEQdPaw/8/QkExPJqqrGbevHH1XH2TqWccHIcuDAgXz99ded3m5GRgZ9fHz41ltvNWm9mpoaxsXFsXPnztyzZ49Ta9qwQR1B3JUxAbnrLtsOHxND9u9v+37wYDI//8p1PvhA7djW5YYNI7/++tJlKivVucakJHL8eDIw0La8NXA6jyzz8/Pp4eHB4zqdXFi1ahUHDhzI8+fPN3qd+fPnMygoiPv27XN6Pe+9R/bu7fRmmw3XBeTyrs2wYeSzz5Jt29p24vvuUw9DuJqffyajoi490sycSS5YoP6+Qwfbzy7/evhh27Z1HFkuWbKEw4cPd2qblZWVHDx4MPPz85mZmck2bdqwvLy80esPGTLkklPIzvTDD+qf8ccfdWnecK4NSP2ujcVCnjmj3n7atSPffbdx7dTWkgsXkq1a2dq8PAytWpFhYeScOerIU//d/PKRZXGxWsZJRo4cyQULFjitPZJMS0uj2WxmdXU1H3vsMUZHRzdp/djYWM6ZM8epNdXXs6fqxboj1wakoa5NdrbtylNjzJmjdu6UFDUe8fUl/fxUlyopSbXX2O7H8ePq9LKHB/nGG037fRpQVFRET09Pfvnllw63Vd9DDz3EKVOmkCT79evHlStXNmn9FStWcMiQIU6tqb577iF/mQTgdlwbEEe7NmfPqsu5gJr0Yz1i7NplX3tHj9rOknl5kRs32tfOL1avXs3g4GCH2rhcXV0du3btyjVr1vCrr76iyWTiyZMnm9TG3r176enpqdvcrjff3Mj/+Z9RurRtNNfeUWg2A4mJ9q+fng5Y7zYsL1d/9ugB3Hhj09uqqFBPJAkJAbp1U+1Onqy2YafU1FSMHz8eAJCbm4tz587Z3ZbVnj17UFRUhKioKKSkpGD48OEICgpqUhuDBw9Gnz63IDf3uMP1NGT48F7YvXsHSktLdWnfSK4LCAnU1QEjRwKFhfa1Yb2tdcAA4NNP1evx4+17vOSSJcDHHwObNwNjxgAdOwI1NSok1rYbIT8/H8nJyZgxYwYOHDiAvr88TOCJJ55AdHQ0KqwPM7NTamoqwsPD4e/vj9TUVLs+qMfLywvBwduQmXmtQ7VcTWhoKPz8/LBr1y5d2jeUy45V5eW27ow9F7uqqmxnqe6919a9+vhj++qpqiLvuMPWzvTpaiwDqO00cEq0srKSn376KRcvXszo6Gh26tSJJpOJoaGhnDlzJu+77z62b9+ee/bsYWlpKYcMGcLIyEiHZuRef/31XLZsGU+ePEmTycS8vDy72nnmGXLMGLvL+FW33XYb58+fr98GDOLa6yDWHfL3v2/6up98YtuZ4+LUn35+6tqHvcrKyPBwW7vx8aS3t3rdsycLsrO5evVqJiQkMCQkhJ6enjSbzRw/fjyTkpKYnZ19xXSSxx9/nB06dGBubi4LCwt57bXX8s4777RrRu7Ro0cJgN9++y2Tk5PZp08fu3/VLVvUyUKdJgYzLi6O8fHx+jRuINcGJDnZtjMeOtS0dR95RK3XqZO6mAioC46OKikhhwxR7Xl4kLNmkZ6e/KlbN5oBms1mjhs3josWLWJ2dvavHg3q6uoYHx/PwMBA5ufn88cff2SvXr3smpG7YsUKXnfddSTJSZMmOXSq9tw5ddIvN9fuJq7qnXfeobe3Nz/88EPnN24w1waktJT08VE74zPPNG3dPn1sobCG7F//ck5dx4+TffuqgCxaRAYE8BjAvKlT7ZpmXltby9jYWPbs2ZMFBQU8fPgwAwMDmzwjd8yYMUxMTGRFRQXbtm3LjIyMJtdS36xZ5BdfONTEFRYvXkxfX1+mpKQ4t+FmwvVTTSZOVDt3v36NX+fAgUvHCtY5WU2cOq7pu+/I1avJnTtt2/rvf+1urqqqilFRURw0aBBPnz7N3bt308/Pj08//XSj21i9ejX379/Pjz/++OKFwuYkMTGRfn5+zMzMNLoU3bg+IOvWkbffrnbGxt68vGiR2mFbtyYjI9XrsDB96nvySeeMb0iWlZVx5MiRHD58OM+dO8dt27bRx8eHS5YsaVI7CQkJFy8UOsoZk5ktFgsffvhhduzYkbt373ZKXc1Vy5jFn5ys5m5FRtqmmGjcJuqQQYNU+3ff7ZTmSkpKOHTo0Iv3l69bt44hISFXfdZTdXU1s7OzL3nIQ48ePRgdHX3VOw+bwtHJzNXV1Zw6dSq7d+/OQ00dR7ZAxj32x8MDeOopYMEC9frAAcD6qJ+qKtuFQAAoKVGdnpwc9VxcADh0SF3kc6YjR4BrrlGvV62yPX/XQUVFRYiIiMCAAQOwfv16WCyWi896qqqqwp49e5CTk4OcnBzs2rULp0+fRkhICMLDwxEeHo6goCBMnToVsbGxeO211xyqxcMDePJJ9YjbrVuBNWvUwyAb84ShiooKxMTEID8/HxkZGejTp49DtbQIhkXz8rey+lPetb78/ck2bRo/36opXnzRNr45fdqpTR87dozBwcGMjY3lRx99xLlz5zIsLIytW7emt7c3b775Zs6bN++KhzxYWccwf/vb3xyq4/IZPz17qoPybbeRr71G/vRTw+uVlpYyIiKCoaGhPHHihEM1tCTGBqT+5MX696RrfVmvU0RGks5+JM7o0art8HDntvuLQ4cOcezYsezRo0eDz8T6Nenp6fzLX0bw5MlXGr3NsjKy/jDh8snMpDo/sXy5GtaNGrWEffv25Zw5c5iRkcHq6moWFhZy6NChvPHGGxsMrzsztotVXAz06aO6UIcO2T5jztsbaNvWtqzZbJtOsnix+gLUFJG0NMAZj6YsLgYCA9WcrMWLgXnzHG+zARaLBR4eHjCZ7JvlU1z8f/j++3vRu/fb6NgxTnPZkhI1E6euTvVOGzMj57vvCpCa+hHS0tKwY8cOdO7cGYGBgfDx8cGmTZvseuJii+bSONa/ptDQW1ljPfqo7Yhy113OuTy8Y4ft5q0DBxxvT0dnzrzHvXu9eObM+1ddprr6BHNy7uWUKed59qx92ykpKeG///1vpqSkNOkORnfiuiMICdxxB9ChA/DGG4Aj70QkMGMGkJysvo+LU4NqRz8Tu6IC2L5dfd5HM3fq1FKUlqbhmmsyAVz5e+fn3wyTqQ36998Ak6kZPOO2pXJZFFeutL3rL13qeHvV1eomKWubjtyx09DFgfr/NAaey9BSV3f16zQVFfm0WPR9bOlvgWuOIIcPA0OGqFO3t9wCZGaqD55xVEWFere3fhTzP/4BPP1009vx8AACAoBdu4CBA1XkPDzUn9afGzRUa4yTJxfh1KmXUFt7GgAwdGjzrbXF0T2C1dW2yYB+fuouPmcqLVUXERtzdKquVncfLlumxi7W0zsN3Q58+dmzZmzfvvY8ceJ/WVn5ndGluB39/+efesq2kzXxXupGKyoiQ0JsM3Kt2ykoUFNaEhLUz62361q/Fi5UyzV0O3AL6GJZlZSk8dtvJ3L//i4sKHjI6HLcir7/8zt32nbKyZN13RSPHiW7dbNd6OvT59JHl15+LeWmm2yzgRs6o9aCAmJVVraXubltjC7Dreg3Bjl/HrjhBuDoUaBLFzWVpFMnXTYFQF2/6NxZjXN69lSfBWbVu7ca+4SHA2FhwLXXOvbxRwY7c+Zd1NYWISjoMQDA3r3qLJanpz8CA2ehW7fnABAlJRtgNk9EQ2e5ROPo9ym3X3+tLr4BwKuv6hsOQA3US0rU69BQFZDu3dVDGAYNcs5JgWbg/P5kFFhmIjg4+eLfNTQor6k5gYKCh3Dhwk706PGCK0t0K/rtNSNGAAcPAi+/DEyapNtmLrI+0MHf33b0GDFChcVNwoGFC+EX8VcM7LwB/v6xKChIQEnJhksWIWtw4sTTMJnaYMCAdHR8fj/w/PPG1OsOjO7jOY31jsNfPoTHqXccNgfl5eTIkWRmJllVxVOZDzMvrwcrKi59PrHFUsb8/HAePjSSLLtAbt+uZggcPGhM3S1cs/uUW7scPKiOFADwwAPqqrqnJ/Dzz2pc4k7Ky4FJk8Azhaj59EN4tw6+YhGLpQSWvybA+3CpOrIWFwNNfJaWUNyj72HtXnl7Az/8oF7feKN7hCMrC+jVS31lZQFFRYDJBI/UTQ2GAwA8Pc3wnv8KcPIkkJsr4XCE0Ycwp7jpJtWlGj3adsehu3xoRWgomZpKpqWp101x+QMntm9XN4D07Klei1/V8rtYJ0+qs1V1dbbuFaC6XYMGGVmZc/j6AqWlalRlNttuCbDH4MHAokW22wrz8pxWprvS7zSvq2zapMJhvb8EAPr3d49wAOp32bJF/X4DBjjW1pEjwNixKmyTJzunPjfX8gNyyy3AwoVAfr7twdMtYLp6o61YYbs3/p13HGvLmWH7jWj5Xaz6Tp0CNm4Ehg1Ts4fFpbZtuzRso0cbW08L4B4BycoCpk1Tr999F4iIMLYe4TbcIyAy+BQ6cY+AOPNMjxD1tPxBOiCDT6Eb9wiIM8/0CFGPe3SxhNCJe8zFEkInEhAhNEhAhNAgARFCgwRECA0SECE0SECE0CABEUKDBEQIDRIQITRIQITQIAERQoMERAgNEhAhNEhAhNAgARFCgwRECA0SECE0SECE0CABEUKDBEQIDRIQITRIQITQIAERQoMERAgNEhAhNEhAhNAgARFCgwRECA0SECE0SECE0CABEUKDBEQIDRIQITRIQITQIAERQoMERAgNEhAhNEhAhNAgARFCgwRECA0SECE0SECE0CABEUKDBEQIDRIQITRIQITQIAERQoMERAgNEhAhNEhAhNAgARFCgwRECA0SECE0SECE0CABEUKDBEQIDRIQITT8PxkA4YtDAlP3AAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
       "      <td>0.9734</td>\n",
       "      <td>504.613</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "   molregno                                                            smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    mol    logp       mw\n",
       "0    410802    CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12    1.000000                                                                                                                                                                                              <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  1.6109  474.587\n",
       "1   1351310      CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12    0.881356          <img 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\" alt=\"Mol\"/>  3.2395  473.599\n",
       "2   1351311       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCC4)ccc3OCC)nc12    0.881356  <img 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yOeeU+cZBw5YV+SFC9X5R3PUDXBgoDrviY62tt21qzpXaoSff/6ZsbGxDA0NZZs2bTh+/HgmJiayrKyMJJmdnc3Q0FD279//8rQ9qampDAoK4u233878/PzmvYZLbr31Vq5YsYIk+eijj3LatGktaq8hANm5M5mZ2fKAxMfH083NjUlJSbYpromMC0hDm5mKCnWlaPx4sm1bMiGh6e0+/rh1r5GQYF2Jc3NbVu8776iaAHWiHh9PxsWpEAOkyUSuXdvgU0tKSrhq1arLY8sHDRrEuLg4nj59+qqPHz9+PP38/PjDpeAVFBRw+PDhDA4ObtHApJdeeomHDx8mSY4cOZJLr7zoYQMA+cwz1msn+/eri45NPXXYt28fTSYT3333XZvX2FjGBuRqm5mLF8lvvmleu3feqdr705/UOQZAenu3vF6S3LOHvPlm67nN/PnkJ5/UP3mPjSUtFlZXV3PTpk2Mioqiu7s7u3Tpwvnz5zf6hLimpoZz586lyWTi2kvBq6ioYHR0NDt06MAvbTDZ3E033aTLBAhXXh2vDYqbGzlwIHn//ep6y9atF3jq1KkG2zh58iR9fX3tPs3PlYwNSN3NjK34+an2nnqKnDhRLQ8fbrv2s7LqX3aOjCS3b1eXby79bO2UKQwODqarqyvvuusufvbZZ6ysrGxWd3VP1GtP3uPi4ti2bVsuX768ye2ZzWbu3LmT0dHR7NGjBxOvdjm8Ba68Ok6SBQXkjh3kihVkTAw5dCg5atQ6AqCXlxdHjBjBOXPm8O233+a2bdsYHh7O8ePHs6ax72npxNiA1N3M2MKvv1pX3LpXs+bMsU37tUpKyHHjrH0NGKDOQYKCWNC1K4cFBnLlypX1pudpiS1btrBTp0685557Lp+rfPrpp/Tw8GBMTEyjrkJlZGRwwYIFDAwMpMlkYlRUFGfNmkVXV1ebTIhx4ULzrnoXFhZyz549jIuLY0xMDCMiIujh4cGJEyfa7P+vJYwNCFl/M9NSO3daV9p9+6znB0090W+MykpyxgzVvquruvIWFaW+v+UWm3d37Ngx9u7dm0OHDr08c8jevXvp4+PDXbt2NficEydONHhBoO7VsM2bN7Njx46cNWtWsy/3VlWRI0eq93htobKyUpd5tZrD+KtYhYXkP/9pkwmcuWKFWkHbtlXnC7VhqTPToM298gr5/vtquV8/1d+MGbp0de7cOY4cOZL+/v6X57y98n2Bpl4QIMmUlBQGBARw/PjxLCkpaXJd0dFkr17qMOp6Y3xABg9WK9XAgS1/Z3rWLOt7Ke+8Yz1xbsYfvckqK61XuZYt07GbSj7wwANs3749N126JabuBQGTyUQ/P78mXRAg1ZxbCxdGMT39VlZUNH5iuf37D7BzZ/LShbHrjvEBiY+3bulbOtnx0KGqnXvuIefOtb5jbg+pqdbXsW2brl1ZLBYuXryYrq6uvO+++xgUFEQ3NzdOmjSJGzZsaPYFAYulmidPzubBg54sLv7imo8/f/4bJie78syZfc3qrzUwPiA1Ndb7rQYMaP5exGJRd8oB5H/9F/mf/6mWJ0ywbb1X89FH1oC08M28xkpISOCCBQv45ptv2vSENj8/jsnJrjx79urvkZSV/cSUlPbMz2/6lbTWxPiAkOoYvnblunQbdpOdOFG/jZtuUss2upX7mp55RvXn42Of/nRWWJjIlBR35uW92uDvi4u/5C+/xNi5KvtzjAFT06YBtR+ttWSJWs2bKjXVutyli/qYMwCww/xS9fq3V3868/KKQu/eu+HlFdng7zt2HIfu3VfZuSr7c4yAtG0LPP20Wk5JUaMHm6p2BfX0BIqLrT+XgDSbh8cQuLqqceZ5eS/i0KGbkZzshORk+4zPdwSOERAAiI5Ww10BYNOmpj9/5kwVrJUrgbQ09TNXVzVMV28lJUBOjlq+jgJSV17ey/DxeQx9+2Zj8OBm7OFbKceZvNrNDVi+HDCZgD//uWnPLShQUwHl5wPHjwNr16qfBwaqvZPe0tKsh4XXaUCCgj5CQcH/4tdf30CnThMRGPi20SXZhWN+DLSTE/Dss8Bzz6llsxn45RcVgvR04MgRtXzihPoo5aqq37bh7w+cPq2m7Vm8WN96V60CHnkEcHYGLlwAPDz07c9AZWUpyMz8PQYOvAgAKCz8GB4eg2Ay2WFPbQDH2YNcaeVK4L771PJDDwH/93+Ne563NxAQAGRlqa36kiXAuXPAsmVqyiA9eHkBI0eq6Yeuk3BUVZ1Efv6r8Pd/BU5OrpfPO1xcvODr+4/Ljzt//kucOjUHwcGfoEOHUUaVqxvH3YM88wzwww/A9u1qL/Dcc+p3JhMQFqauel355e+vzjsAtfeYONE6hU9EBLBhA3Dzzca8plbEbC7C0aPD4OExBEFBDc+gbjaXwMXFEwBx5sxi5OUtRZD32/DqbofP7LAnY68yX8WVd/qmp5MbNqh3qy/dzdoopaXkpEnW90d69FAjd/So98rBX3X/ax30v7lBNTXMzpzAI0cG0GwuJUmePv0sy8rq3ktiYUbGrTx5cjYtFjUKqrBgHS3hIeTf/974aZdaAcf8y9nyTl+LRQ1iqh0y6+Vl+1tBGhr81VoDMm8eq6b8gZWVarhvXt4rPHiwE8vL629YKiqymZYWyqNHI1hdfenOgUOH1JDk0aPVTajXAcf6y2Vm6rf1WbfOOuVPmzbqzt/mKC5Wk0jUvfu4ocFfV86i0hosW0a2a6dmbyFZUrydycmuLCr6vMGHV1cXMDNzBC8uilJ/O1JNYNG/P/nhh/apWWeO85crK1PjyPv0UUPP9LBvH+nra11pY2IaN1C6rEzNmzV6NOniop4bEWH9fUODv1rbHqSwUNVfO4nc0aO09OrB4sNvaD+vpop86CG1Z64dJt3cyTEckOP85V580bri7t6tXz+nTpGDBln7uvPOq08Yd+gQ+Y9/WKcgqvs1ZIh1AqiGDglbW0BIsvYjnPPy1F3QTRmJ+T//owaObdhg/dmuXWRAgPq6yqAuR+cYf7mCAuvW909/0r+/CxfU1KO1K3tYmLrZkSSzs9U5S90ZHWu/fvc7NfWpHT480lB/+5u6G7qpIwy3bKk/9qZfP/KLL9ThaL9+tq3RThwjIE89pVZAZ2e11baH6mq1ItSu/N7e5B13qPOTuqHw9FQzMu/YoSaku940tJUvL1eHjC1lMqmBZBUVarkVMj4gOTnqPw8g773Xvn2bzerEum1bFYTaUHh4qLlptm69ri5ZNkjPrXzfvrIHabGYGOvEBycaP9TTJo4ft4bihRdUDZ07k82YTqfV0nMrv327uvDi76/fhRedGXurSUYG8O67annmTCAoyL791x1DMno0sHCh+lAeX1/71mGknj2BLVvU3Qu9etm27VGjgFOnbNumnRkbkNhYdSNiu3bAokX277/uGJKiIuvPr9M7chu0fDkwfbpaXrPG2FockHEB+de/gE8/Vcvz5gF+fvavoTYgfftal93c7DOGxFFcB1t5PRk3YOrZZ9XRv7c38NRTxtRQdxRg7XJIiH53/YpWx5iAlJdbP1b58ceBjh2NqSErSy3XDciNdHglrsmYTaW7O/Dtt8COHcBttxlSAjIycPkzi0ND1feABETUY+yxxCgDB9jUvYLVrp31I6QlIKIOx5m0wd5qA+Lvr4bz1pKAiDokIHXPP7y8rDOrCAEJSP2A9O1rXD3CId2YASkvB7p2VRcLwsLkCpa4qhvzgr+7O3DgAGCxqCtZ7dsDP/4I3HGH0ZUJB3NjBqTWnj3A/fer5fh4YMQIY+sRDscxp/2xl/Bw4MUXrdMMHT5sdEXCwdzYAXF3B86fV7e8dOqkzk2EqOPGPsTS81ZvcV24sQMit3qLa7ixD7GEuIYb830QIRpJAiKEBgmIEBokIEJokIAIoUECIoQGCYgQGiQgQmiQgAihQQIihAYJiBAaJCBCaJCACKFBAiKEBgmIEBokIEJokIAIoUECIoQGCYgQGiQgQmiQgAihQQIihAYJiBAaJCBCaJCACKFBAiKEBgmIEBokIEJokIAIoUECIoQGCYgQGiQgQmiQgAihQQIihAYJiBAaJCBCaJCACKFBAiKEBgmIEBokIEJokIAIoUECIoQGCYgQGiQgQmiQgAihQQIihAYJiBAaJCBCaJCACKHh/wFqmJdvsnLYBgAAAABJRU5ErkJggg==\" alt=\"Mol\"/>  2.8494  459.572\n",
       "3     80636       CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCNCC4)ccc3OCC)nc12    0.866667                                  <img 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\" alt=\"Mol\"/>  1.2687  460.560\n",
       "4     80694  CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(CCO)CC4)ccc3OCC)nc12    0.838710                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  0.9734  504.613"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">molregno</th>\n",
       "      <th colspan=\"8\" halign=\"left\">similarity</th>\n",
       "      <th colspan=\"8\" halign=\"left\">logp</th>\n",
       "      <th colspan=\"8\" halign=\"left\">mw</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>114.0</td>\n",
       "      <td>886740.473684</td>\n",
       "      <td>597207.645589</td>\n",
       "      <td>28710.0</td>\n",
       "      <td>310086.75</td>\n",
       "      <td>565658.0</td>\n",
       "      <td>1441764.75</td>\n",
       "      <td>1831663.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>0.594148</td>\n",
       "      <td>0.053740</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.560411</td>\n",
       "      <td>0.598611</td>\n",
       "      <td>0.625946</td>\n",
       "      <td>0.734375</td>\n",
       "      <td>114.0</td>\n",
       "      <td>2.025773</td>\n",
       "      <td>0.780307</td>\n",
       "      <td>-0.0483</td>\n",
       "      <td>1.4712</td>\n",
       "      <td>2.07581</td>\n",
       "      <td>2.5482</td>\n",
       "      <td>4.4372</td>\n",
       "      <td>114.0</td>\n",
       "      <td>493.521193</td>\n",
       "      <td>58.942393</td>\n",
       "      <td>391.453</td>\n",
       "      <td>456.1290</td>\n",
       "      <td>489.106</td>\n",
       "      <td>518.6400</td>\n",
       "      <td>762.879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>103.0</td>\n",
       "      <td>851594.970874</td>\n",
       "      <td>562828.499705</td>\n",
       "      <td>80558.0</td>\n",
       "      <td>410705.00</td>\n",
       "      <td>488147.0</td>\n",
       "      <td>1351307.50</td>\n",
       "      <td>1831961.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>0.672338</td>\n",
       "      <td>0.107084</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.577465</td>\n",
       "      <td>0.691176</td>\n",
       "      <td>0.740659</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>103.0</td>\n",
       "      <td>2.526063</td>\n",
       "      <td>1.080157</td>\n",
       "      <td>0.3034</td>\n",
       "      <td>1.6615</td>\n",
       "      <td>2.59310</td>\n",
       "      <td>3.3193</td>\n",
       "      <td>4.7317</td>\n",
       "      <td>103.0</td>\n",
       "      <td>480.585107</td>\n",
       "      <td>117.141116</td>\n",
       "      <td>268.320</td>\n",
       "      <td>415.5065</td>\n",
       "      <td>502.641</td>\n",
       "      <td>552.6255</td>\n",
       "      <td>866.980</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "      molregno                                                                                    similarity                                                                    logp                                                                  mw                                                                       \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    114.0  886740.473684  597207.645589  28710.0  310086.75  565658.0  1441764.75  1831663.0      114.0  0.594148  0.053740  0.5  0.560411  0.598611  0.625946  0.734375  114.0  2.025773  0.780307 -0.0483  1.4712  2.07581  2.5482  4.4372  114.0  493.521193   58.942393  391.453  456.1290  489.106  518.6400  762.879\n",
       "True     103.0  851594.970874  562828.499705  80558.0  410705.00  488147.0  1351307.50  1831961.0      103.0  0.672338  0.107084  0.5  0.577465  0.691176  0.740659  1.000000  103.0  2.526063  1.080157  0.3034  1.6615  2.59310  3.3193  4.7317  103.0  480.585107  117.141116  268.320  415.5065  502.641  552.6255  866.980"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby(data['mol'] >= qmol).describe().unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data['containsQ'] = data['mol'] >= qmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12</td>\n",
       "      <td>1.000000</td>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAYAAACtWK6eAAAaDklEQVR4nO3deVxU5f4H8C8MsjluA4KgYuEKZRp03XDXruZ6s6woNbTdFOt6lZ95bbLSLLuJrZLWzeW61e3iViZoKimYgFuau5iiuLApsjjL5/fH0zCgeGRmzpkzwPf9evniCMzzfNHz4WzP84wbABBjrEruahfAmCvjgDAmgQPCmAQOCGMSOCCMSeCAMCaBA8KYBA4IYxI4IIxJ4IAwJoEDwpgEDghjEjggjEnggDAmgQPCmAQOCGMSOCCMSeCAMCaBA8KYBA4IYxI4IIxJ4IAwJoEDwpgEDghjEjggjEnggDAmgQPCmAQOCGMSOCCMSeCAMCaBA8KYBA4IYxI4IIxJ4IAwJoEDwpgEDghjEjggjEnggDAmgQPCmAQOCGMSOCCMSeCAMCaBA8KYBA4IYxI4IIxJ4IAwJoEDwpgEDghjEjggjEnggDAmgQPCmAQOCGMSOCAOyM7OpitXrqhdBlMQB8QBs2fPpl69etHZs2fVLoUphAPigM8//5yioqKoa9eutG/fPrXLYQrggDjAw8ODlixZQmPHjqXevXtTcnKy2iUxmXmoXUBN5+bmRvPnzyd/f38aNmwYrVixgh5//HG1y2IyUSwgZrOZcnJyKCAggDw8an8O4+LiKDAwkMaMGUP5+fn0wgsvqF0Sk4Fie25xcTE1b96cjhw5QmFhYUp141JiYmKoSZMmFB0dTdnZ2fTWW2+pXRJzkGLXIFqtlrRaLV28eFGpLlzSyJEj6YcffqAFCxbQlClTyGw2q10Sc4CiF+lBQUGUk5OjZBcuqW/fvrRt2zZavXo1Pfvss2QwGNQuidlJ0YA0a9asTgaEiCgyMpJSU1MpLS2NRo0aRcXFxWqXxOzARxAFhYaGUkpKCp07d4769+9Pubm5apfEbMRHEIU1a9aMkpKSqLS0lNatW6d2OcxGHBAnaNq0KbVo0YJOnjypdinMRhwQJwBAaWlp1L17d7VLYTZSPCB17TZvVU6cOEF5eXkckBpI8Yv03NzcOn+bMzU1lVq3bk3+/v5ql8JspPgRBABdunRJyW5cXmpqKh89aihFA9K0aVPSaDR1/joksqiInujbV+0ymB0UDYhGo6GmTZvW7YAUFtILq1bRsIgItSthdlB8PkhQUFDdvlDfu5eofn2ijh3VroTZQfGA1Plbvbt3E3XpQqTRqF0Js4PiEzVGjRpFM2fOJJPJRJMnTyY/Pz+lu3QtqalEfIFeYyl+BImOjqbp06fT119/Ta1bt6a4uDjKzs5WulvXYDYTpaVxQBRiMpkUHwSqeEDq169PU6dOpaysLFq+fDmlpKRQSEgIDR8+nNLS0pTuXl0GA5FezwFRAAB6+eWXady4cYp35HQpKSkYPXo0NBoNoqKisH79epjNZjVKUdb27UDLluLP9u1qV1OrTJo0CTqdDocOHVK0H1UCYnHixAnExsbCx8cHHTt2REJCAkpKStQsSV4dOwIbNgAbN4ptJosPPvgAWq0WaWlpivelakAscnJyoNfrodPpEBgYCL1ej7y8PLXLcpy3N1BWBpSWim3msNWrV8PT0xPr1q1zSn8uERCL3NxczJkzB4GBgfDz88OWLVvULskx99/PRxAZ/fQTEBmZgqVLVzitT5cKiEVpaSlef/113HvvvWqX4pitW4EWLcSfbdvUrqZG27ED8PEBPv/cuf26AYCytwHss3//foqIiKCysjKqV6+e2uU47sgR8YcXlbNZZiZRv35EU6cSvfmmc/t22aVHLSOBL1++rHYp8jh0iGjMGKLPP1e7EqfIy8uj69evO9zOsWNEgwcTPf+888NB5MIBsYwErjXjuJ58kujHH4lmzCCaMoXINQ/cskhISKCBAwdSkyZNqFOnTjRx4kRavnw5nTp1yua2ioqIRo0i+uADBQqtBpddE7RWjgTu149o61aiIUOICgqIvvqKyIFlWQFQRkYGJSYmUuvWrempp54iHx8f+eq1w7///W+aMmUKJSYmkr+/P+3Zs4f27NlD7777Lp04cYJ69hxOOt066tqVqFs3ooceImrQoHIbbm5Es2YRvf22+Lqqv0uce8ljm86dO+PLL79Uuwz5HTgAU7t2+GjiRJSVldn0UqPRiG3btmHy5MkICQlBvXr1MGDAALRt2xa9evVCQUGBQkXf3caNG+Hl5YWVK1dW+fXc3FwkJR3HrFlA//6AVgtoNOJm38SJ1u8jAnQ64Ngxsa0mlw7II488grffflvtMhSRdfo02rRpg0GDBqGoqEjyewsKCrB06VIMGzYMvr6+aNy4McaOHYv169ejuLgYAHD9+nUMHDgQYWFh+OOPP5zxI1Syc+dO+Pj44LPPPqv2a4xGIDMT+PRT4M03rZ8nAmbMAAYM4IBIGj9+PCZW/NVSy+Tl5aFHjx6IiIjApUuXKn0tOzsb8fHxiIqKgoeHB5o3b47Y2FikpKTAaDSWf19JSQmysrIAiNvjjz32GFq1aoWjR4867efIzMxEo0aNoNfrZWmPCMjPBxo35oBImjFjBkaNGqV2GYoqKirC4MGDERoaii1btkCv1yMyMhLu7u4ICwuDXq/Hb7/9Vuk1BQUFWLlyJUaPHg2tVotBgwaVf81oNOK5556DTqdzylCMY8eOISAgAK+99ppsbVpC8d57HBBJCxcuRPfu3dUuQ3ElJSXo27cvgoODER4ejpkzZyI9Pb3SAM7jx49j3rx5iIqKgru7e/kRJSkpCaWlpZXaM5vNmDZtGrRaraKjES5cuIDQ0FDExMTUzsGmcPGArFmzpuY/Ta+m2NjY246W6enp0Ov1CA8PBxEhPDwcer0e6enpMJlMd21z3rx58PLywrfffit7vbm5ubj//vsxZMgQ3Lx5U/b2V64EYmNlb9ZmLh2QnTt3wruODPL7y1/+ggULFgAAtm/fjk6dOoGI0LlzZ+j1emRmZtrV7jfffAMvLy8sXrxYtlqLiorQrVs39OrVq/wmgdySkwFfX+DGDUWarzaXDsjx48dBRMjPz1e7FEXduHED9erVK79mOH78OOLj43HmzBlZ2k9MTISPjw/ef/99h9sqKyvDww8/jM6dOyt6S9lgELd6nTRo945cOiDXrl0DEeH3339XuxRFpaSkwNvb2+ZnIrbYtm0bGjZsiNjYWLuvF0wmE55++mm0a9futrtuShg3Dhg/XvFuJLnsUBMiogbe3tRQq6X8w4fVLkVRqampFBERQZ6enor10a9fP9q6dSutWrWKYmJiyGg02tzGpk2baPPmzbRu3ToKCAhQoMrKRo4kWr+eyI5SZeO6Abl6lah3b0ry96du0dFEw4cTZWWpXZUinLU06UMPPUTJycm0d+9eOnjwoM2v3717N0VERFCHDh0UqO52f/0rUUkJ0Z49JU7pryquGZDsbKIBA4jS0qhLVha5GQxEGzcSdepE9NFHYjGEWmTXrl2KBuT48eM0fvx4MplM1KZNGzp58qRdR5ARI0bQzp076dq1awpUeTutlmjIkAn0/ff/dEp/VVL3DK8K6elAs2biCRER8MYbYhyCl5f1c61bA2vXKtM/ETBrlnVbYadPnwYRITs7W7E+EhIScN999wEAduzYAV9fX7tuzZpMJgQFBWHVqlVyl3hHX3/9NVq1aqXacxbXOoJs2kTUpw9RTo4Y5bp4MdHly0T79hEdOEA0dKj4vlOniJ54gujhh4l+/93xfm8dMfzZZ0THjzvebjWkpqZSq1atKDg4WNE+LEcoy/WOPZPQ3N3daeTIkZSYmChzhXc2YsQIys7Opv379zutz4pcJyCLFomrshs3xPjnxESi5GSiJUuINmwQ4dm4UVy1hYaK1yQni9OuKVOIbJmcAxD98gvR//0f0X33EQUFER09av36Sy8RTZwo6493J864/rg1II7097e//Y02bdpEpaWlcpUnyc/Pj3r06OHUUFaiynGrIrNZPDK1nD4FBorZ+V26WD83dChQccRrWRkQHy/GS1u+JzgYWLpUtFcVgwFIShJ9tWplfZ3lj+UZQVUj5arx1NpekZGRWLhwoWLtX7lyBW5ubjhy5AgAICAgAN9//73d7ZWWlqJHjzewdetFuUq8q3/961/oqNKiF+oG5OZNcbPbspN26CAWOggNtX7upZfEuOiqnD8PjB1beUfv0wc4cEB83WgUC7ZNmVJ1KNzdgZ49gfnzActDuVtHyun1QL9+QGGh7D++5QHhr7/+KnvbFps2bYJOp4PZbMapU6dARMjJyXGozaefBl54QaYCq2HHjh1o164dbqjwWF3dgPz979ad9aGHgPXrAT8/8Xc3N2DevOq1s2ED0KaNtS1PT9Gev//tofD2BoYPB5YsAe72sOunn0QdREBUFCDzWl2OXDBX1z//+U8MHjwYALBixQrcc889Dre5Zg0QEHDn31tyunr1KsLCwvDoo48q31kV1A3I5ctix37ySeC//xWDb4iAevWAb76xrS2DQZx2NWok2mje3BqK5s3FqVVSkljErbqMRmD69MpHuLNnbatLwnvvvYeePXv+Wb4BH3744W0jcx3Vv39/zJ49GwDw6quvIjo62uE2r18Xv2d++cXhpiTl5eWhY8eOGDRokKKjDKQ4PyC33kbNyhI7t2VH9PUFEhNta/PXX4G4ODFwZ8cO6w79yCPilM1gsL1OgwEYNkwEa8EC65EkKAg4eND29iq4efMmtmzZgj59+uCZZ54BIFaX7NChA/r164dCmU7njEYjGjRoUD7k/cEHH8THH38sS9tDhwL/+IcsTVWpqKgI3bt3R/fu3VU5tbJQJyBVTTg2mYBXXgFSU21v8803RVuNGgErVlgD4sizhbfftrbzyiviiObhIf7epAmwa5dNzV27dg1r1qxBdHQ0GjdujAYNGqB///7w8vLC8uXLAQD5+fno1asXwsPDce7cOftr/9P+/fuh0WhQWFiI69evQ6PRID093eF2AWDxYvE4SgkGgwHDhg1Dhw4dcOXKFWU6qSZ1AiL3hOOBA0VbAwcCkyaJ7ZYtHWszL09cd1hCMnw48N13Ynk/IqB+feDHHyWbOHr0aPkkJ41GgxYtWtw2bXbdunXw8fEpn64q57TZL774ovzuz88//yzr9c6lS0BCgvzXISaTCWPGjEFISIgsvyQcpU5A5JxwbDQCDRpYT90iI8X2E0843vaNG8CQIZXvkG3aZL3O8fQEKjxVNpvNSElJQVxcXPkkp8jIyCqnzVa0fft2NGrUCJMnT4bJZILRaMTzzz8PnU6HVHuOqH8aN24cXnzxRQDA3Llz0bt3b7vbuhO5Bx5MmjQJfn5+OHz4sOONyUCdgADyTTg+eNC6A//vf+ICn0hcN8jBYAAmTLD2ERkpjhyWu20aDdLj4vDiiy8iJCQEbm5uiIqKQnx8PE6dOlXtbg4dOoTg4GA888wzuHnzJsxmM+Li4lC/fn1s3rzZrtLnzJmD9evXAwCGDx+OuLg4u9qRIucSPXPnzoVWq8WePXvkKU4G6tzFKi4GFi0Sz0AclZBgfaaxcaN1R5ZzwQKzGZg2zdp2+/biFk6LFijR6RDo7o6oqCjMnz8fJ0+etLub038uBTR06NDyC9P4+Hh4e3tj9erVDpRvhr+/PxJtvflRDXKdMSckJMDLywtJSUnyFScDdQLyySfWnc3Ri8aYGNFOWJj1qGR5Xw65WW4GEInFnMaNg5kIOc2by9bFxYsX0blzZ3Tp0gVXr14FACxbtgxeXl744osvbG7v8OHDmDlzJgICAhR5N6Zbz5iDgsTNv3nzgJSU6t1VX7NmDTw8PO644Jya1AnI9evWf9ExYxxrq3170c6ECcCIEWK7Rw956qzKJ5+IX5kAEBEh+nvqKVm7yM/PR8+ePSvdzVq7di28vb2xaNEiydeaTCbs2rUL06ZNQ9u2beHu7o4ePXqgW7duaNu2LU6fPi1rrbeeMSckAM8+C7RrJ/7esCHwxBPZeOutt7Bly5bbbmFv3rwZnp6eNi0450zqPSi0PEX39AQuXLCvjStXrM8nFi8Wj3eJgKlT5a21KtevW2/7KjCWqrS0FKNGjUKrVq1w7NgxAMDWrVvLtysqLCzE0qVLMXr0aDRp0gQNGzbE2LFjsXbt2vJ36jIYDIiJiYFOp8Pu3bsdqu3atep93+XL4tHUe+8dQJ8+faDVaqHRaPDAAw/glVdewZw5c9CoUSP8Q8kHKg5SLyBZWWJhVst4J3tUvOb48Ufr9nffyVpqlbZvt/an0FgqyyJwAQEByMjIqPQ1y8qLAwcOhLe3N4KDg8vXybrT+zyazWa8/vrrqF+/Pn68yy3qO5k1C+ja9c5jQqUYjUYcOHAACQkJmDBhAqKiovDOO++49Jpa6g41efRRsYMFBAD2vHnnzJnWB3fLlll3WHuPSLawnFP4+opBlwoxm82YPn06tFotli9fjo8//hgDBgyAh4cHQkJCMHnyZCQnJ8NQzdEClkXlVq4ciPx82y7a339f3FHfu9een6RmUjcgFX8LL1tm++v79xevHTRILA9OJEbtOoPleqdXL6d0p9fr0bNnT7tuIVclJ+cDZGTUw9Wr1RvzdvXqf/DUU6fxww8OdVvjqBsQs1msfe/ubr3wtUVMjLht8uabwIMPKnLBfEeW653p053TH1Dto0R15ed/j8xMb5w/L/18JC/vW2RkeNp8xKkN1A0IIMZeOXpn5fx56/WMgpOPyp08WfnhZA1WULARmZm+uHBhdpVfNxrzsW9fY1y6JM8gx5pG/XeY6tZNfKz4tkJubuIdmM6fJ7p4kejCBaL8fOt2xY/5+eL1Go342KyZ8jWnplq3e/RQvj8FNWo0lNq1SyaTqeopyxpNYwoLyyAvr1AnV+YaXOddbt3ciHQ6sfO1b0/UoUPleeJ34+tLVFxM5O8v5q936aJcra++Kt6MMzRULCBRi+TkzKVLlxaQ0XiViIgiI11j91CL+keQiioultCs2e0BadCAqHlzooAAouBgosBA8X1BQUR//EE0b175gnO0cqV490clWI4gTljszdlyct6nwMDppNNF19mjRkWudQTJzye6915xevXTT2KFk4AAEYCgIKK7vUHlnj1iaaDcXHHKlZBA9Nxz8teamEj066/i9HDECPnbV1Fh4Sa6enUJ3biRRo0bj6SQkEVql6QudS+BKpBrlO9vv1mn27q5WVcrkUtV47sr1utC/6SOuHEjA5mZvmqXoTp1jyDFxUQ//ED02GPiCCKXM2fEwq4nT4q/x8YSxcfL08et10qA+Jzln7Hidg0A3KSyspPk7R1OREQZGeLfSKNpQgEBr1Jw8DtERHTlymfk7q4lP79nVatVFarGc9Ys68M2uecdX7wIdO5svR07bpx9c9MBMe7Koqrx3beunFJDmM1GnDo1GkeORACQHu5x5cpXyMioh5ycD51TnItQ73/z6FExUJEIkGGljSrl54t1rypOm63uOyKlp4sxYuHhYhKWZcmfqmZE1tBTrLNnX8KBA8EoKzsDACgtvf3p/LVryeVfLyjYhMwMLUpWvm/fYKwaSL3/zYcfto6HvqjgKn23Tpvt3Ruo6p2RKq68eO+9tx8VVqwQ31fVtVJNDMjMmbgx9REUF4s5Irm5/0Fmpg/Kyiq/x/qpU4/jwIHg8u8znNwrZlM+/7xzFsZSmTr/m+vWWXe86i4O5wiDQbxVkaXP++8XT98NBrEs0J2WI9VoxKqKCxc6tkKKq5k3TxwB9+8HAOTlfffnUJL/3fatZvNNnD4djf37dSg79+dU2CNHxKIYSh35XYjzA1JSYl1atH17ZWb+VcVoFL/1LDu/TidGAd8aCm9vMSXuq6/EfJPaprAQuOcelI863LULN0dE4fKFTyReZELBVr1YC9kyTP7sWdSFkYvOD8js2dadUcH38K7Shg3WcIaHW+sIDLSuvGjPsPuaxjIPNiNDnOK++271XhcfLyaJffmlcrW5GOcG5MwZ67pSI0c6tWsAwGuvib79/MSC1kRASEjV1yR1wbBhwMsv2/aaTz8Vv+Qq2r5dnHK1bCm2axHnBuSxx6yTjGRc47baunYV/Y8eLSZOW44kdUFVO3FRkTwX2h07iqPzxo1iuxZxXkAqTom1d4qtI4qLrWtmffSRdVWB555zfi1qUHIntqwiU1oqtmsR5w1WzMwkcncXgw2nTXNat5X6t7z5Z1gY0YkTYrsWDjis0okTYnQBQPT44/K23aYN0ZYtYhRB27bytq0y5wXkjTeIBg0SAxHr13dat+UsI3C9vcV7C1uGg9SVgCi5Ey9cSPTsn0NQli2Tt22VOXe4e2SkU7urxBKQBx8kSk8X2zqdOJrUBUruxP37E507J2+bLsK15oMoadcu8bF7d6Ldu8V2ly7yDpJ0ZbV4J1aS67zLrZKysoguXRLbXboQ7d0rtuvK6RWzW90IiOWIQUTUpImYiEVU4+eTM+XVjYBYrj9atrTevdJoiLp2Va8mViPUjYDs2yc+du1qDUt4uJjjzpiEunGR/vPP4jlIvXpEq1YRhYRYlxtiTILrLNrgbAaDCAxjEurGKRYR0Y4d4sgREiK2ORysGurOEeSBB4jmzhXPPWbMIDp4UO2KWA1QdwLi40NUWCiGmDRuLIabMHYXdeMinahWD6hjyqk7AanFA+qYcurOKRZjdqg7d7EYswMHhDEJHBDGJHBAGJPAAWFMAgeEMQkcEMYkcEAYk8ABYUwCB4QxCRwQxiRwQBiTwAFhTAIHhDEJHBDGJHBAGJPAAWFMAgeEMQkcEMYkcEAYk8ABYUwCB4QxCRwQxiRwQBiTwAFhTAIHhDEJHBDGJHBAGJPAAWFMAgeEMQkcEMYkcEAYk8ABYUwCB4QxCRwQxiRwQBiTwAFhTAIHhDEJHBDGJHBAGJPAAWFMAgeEMQkcEMYkcEAYk8ABYUwCB4QxCRwQxiRwQBiTwAFhTAIHhDEJ/w+PzR8RZt5NpwAAAABJRU5ErkJggg==\" 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>1351310</td>\n",
       "      <td>CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12</td>\n",
       "      <td>0.881356</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td>3.2395</td>\n",
       "      <td>473.599</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "   molregno                                                          smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            mol    logp       mw containsQ\n",
       "0    410802  CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12    1.000000                                                                                                                                                                                      <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  1.6109  474.587      True\n",
       "1   1351310    CCCc1nn(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCCCCC4)ccc3OCC)nc12    0.881356  <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  3.2395  473.599      True"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5050f47e10>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mQqiGDuvrY08AAKwCnWoA4ART6yBP7XwYh041AAAMSKiGDrp+AMOyzjIVQjUA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5052652910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.boxplot('similarity',by='containsQ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "conn.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### More useful RDKit stuff here:  http://www.rdkit.org/UGM/2012/ and  https://github.com/rdkit/UGM_2013"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  },
  "widgets": {
   "state": {},
   "version": "1.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}