{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Dissecting the Hype With Cheminformatics**\n",
    "\n",
    "A recent paper in [Nature Biotechnology](https://www.nature.com/articles/s41587-019-0224-x) reported the use of AI in the discovery of inhibitors of [DDR1](https://en.wikipedia.org/wiki/DDR1), a kinase which has been implicated in fibrosis. Many who have worked in kinase drug discovery may have noticed that the most prominent compound (Compound 1 from this paper) bears a striking resemblance to a certain marketed drug. Let's assume the compound appears familiar, but we can't specifically place it. How can we use Cheminformatics to find drugs similar to the compound highlighted in this paper? Let's take look."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we will import the Python libraries that we'll need"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from chembl_webresource_client.new_client import new_client\n",
    "from rdkit import Chem\n",
    "from rdkit.Chem.Draw import MolsToGridImage\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "import pandas as pd\n",
    "from rdkit.Chem import rdFMCS\n",
    "from tqdm import tqdm\n",
    "from rdkit.Chem import PandasTools\n",
    "from rdkit.Chem import AllChem\n",
    "from rdkit.Chem import rdDepictor\n",
    "rdDepictor.SetPreferCoordGen(True)\n",
    "IPythonConsole.ipython_useSVG = True\n",
    "from rdkit.Chem.Fingerprints import FingerprintMols\n",
    "from rdkit import DataStructs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will start with Compound 1 from the paper. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "compound_1_smiles = \"Cc1ccc2c(Nc3cccc(c3)C(F)(F)F)noc2c1C#Cc1cnc2cccnn12\"\n",
    "compound_1_mol = Chem.MolFromSmiles(compound_1_smiles)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A quick check to ensure that we have the correct SMILES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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       "<path class='bond-29' d='M 159.432,24.2735 159.429,29.456' style='fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />\n",
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       "<text x='321.796' y='146.293' style='font-size:9px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#33CCCC' ><tspan>F</tspan></text>\n",
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      ],
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x11de393f0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compound_1_mol"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could use the [ChEMBL API](https://github.com/chembl/chembl_webresource_client) to grab the SMILES for all of the small molecule drugs. However, I've found that this can sometimes fail.  If you want to do this, the code is below. \n",
    "\n",
    "```\n",
    "molecule = new_client.molecule\n",
    "approved_drugs = molecule.filter(max_phase=4)\n",
    "small_molecule_drugs = [x for x in approved_drugs if x['molecule_type'] == 'Small molecule']\n",
    "struct_list = [(x['molecule_chembl_id'],x['molecule_structures'])for x in small_molecule_drugs if x]\n",
    "smiles_list = [(a,b['canonical_smiles']) for (a,b) in struct_list if b]\n",
    "smiles_df = pd.DataFrame(smiles_list)\n",
    "smiles_df.columns = ['ChEMBL_ID','SMILES']\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As an alternative, we will read the small molecule drugs from a csv file. \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "smiles_df = pd.read_csv(\"data/small_molecule_drugs.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's add a molecule column to the dataframe to make it easier to view the chemical structures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "PandasTools.AddMoleculeColumnToFrame(smiles_df,'SMILES','Mol')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we'll add a fingerprint column to our Pandas table so that we can do a similarity search."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "smiles_df['fp'] = [FingerprintMols.FingerprintMol(x) for x in smiles_df.Mol]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we can generate a fingerprint for Compound 1 and use that to do a similarity search. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "compound_1_fp = FingerprintMols.FingerprintMol(compound_1_mol)\n",
    "smiles_df['fp_sim'] = [DataStructs.TanimotoSimilarity(compound_1_fp,x) for x in smiles_df.fp]\n",
    "smiles_df.sort_values(\"fp_sim\",inplace=True,ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the 5 most similar compounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1000x200 at 0x11EF03208>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top5_sim_df = smiles_df.head()\n",
    "MolsToGridImage(top5_sim_df.Mol.to_list()[0:5],molsPerRow=5,legends=[\"%.2f\" % x for x in top5_sim_df.fp_sim])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hmmm, the first compound above looks a lot like Compound 1.  Just to be certain that we've found what we need, why don't we try an alternate method of calculating similarity.  In this case, we'll calculate the number of atoms in the maximum common subgraph (MCS) for Compound 1 and each of the small molecule drugs.  MCS calculations are time-consuming so this isn't the sort of thing we want to do with a large database.  However, is this case we only have a few thousand drugs, so the calculation isn't prohibitive.  On my MacBook Pro, this takes about a minute and a half. \n",
    "\n",
    "We'll start by defining a function that calculates the number of atoms in the MCS for two molecules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mcs_size(mol1,mol2):\n",
    "    mcs = rdFMCS.FindMCS([mol1,mol2])\n",
    "    return mcs.numAtoms"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we will run this over the small molecule drugs in our dataframe. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 3147/3147 [01:28<00:00, 35.42it/s]\n"
     ]
    }
   ],
   "source": [
    "mcs_list = []\n",
    "for mol in tqdm(smiles_df.Mol):\n",
    "    mcs_list.append(mcs_size(compound_1_mol,mol))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can add the number of atoms in the MCS to our dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "smiles_df['mcs'] = mcs_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we sort the dataframe by the number of atoms in the MCS and take a look at the 5 compounds with the largest MCS. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/2VRIyLykJDU2Wwnzj5EYxD+1KoTCRyUlgM+EspaRkTF//vxBgwbdvHmTrlh869atr776isFgjBkzRkFBge7jvXr16pKSElk3FqEauFygOV08HmhrAwA8fdrcx2QzGHu3bOnTp09CQoKTk9PgwYMfPHhgamq6btQoay63uY+OUKuCgXtLED+x+M+3bx+UlJzIza3CbFckBvFPrdDs7K+SkhSZTEwDlRU+nx8cHGxubr5v3z55eXkfH5/ExMTZs2czGIzQ0NDXr1+fP3++S5cuTk5OPB4vMDDQwsIiLCysUYnvLZiLjDqKOXNg0SJYsQL09EBDAzw9wdYWbt1q7sOqqKicOnWqc+fO9+/fT01NNTY2PnnypJmZWXMfF7VmmZlQUQEAsGABHDsGQ4cCAGRkyLZRzQ4D9xYiSiw+lJWVwefXWqaoqurnjAwAWG5oqCDesrUI0VNLl8Op52Evh88/nJUFAHaqqi3YNPSvU6dOWVhYLF26tLi42MXFJT4+PiAgQEVFhX531apVERERJiYmSUlJFy9etLW1tbCwSEtL8/DwGDZsGN2XRGItnouMOoTBg+HgQdiwARYuhEmT4OVL4PHAxQWSk5v7yEZGRhMnTqSPsikpKX369Bk6dOjvV6/iVPsOy88P/P0BAI4fh2vXgF5Q16yR7E2EQqFQKGz6xjUbjA5bCE0svlVUtCs9/bMnT7alppbVyG04nJxcIBD0V1H5RKNDLGmEmgQ9tc7n5bklJEQXFtZaZmdaGk8oHKOpaaOs3MLNQwCQn5//ww8/pKSkWFhYnD9//tSpU927d/+ozPjx40XRfFxc3IsXL8aNG9epU6cbN24cPXq0uLhY4qPKIhcZdRSKihAeDqdOwY0bMGgQ5OVVff553tu3tZYVdYtmZkJW1vtEG+m6ReniSxs2bHB3d+dyuTdu3PhbXn7Mw4dfJSUdzckpEAhwF5QOhcEAoRAePXp/Um3fDgEBIP7FsrKyko6Cjh07dvbs2Tn1bhfQemDg3kJoYrE5lztOU1NAyO85OVMTEi48fSoaB09ISFjWp49eRMQKQ0PZNhW1LfTUOp2f/7q83Pv58xUvXqTRm+QH12/cSIuPV2axlhgYyKqRHVxAQMDt27enTJny+PHj0aNH11WM5s+kpKR4eXlVVVUlJSU9evTI2Nh427ZtcXFxEh+1Zi4yQk1ozhxYsgTKyyE5uWLIkGllZeMnTODxeDULirpF16+HDRugrAxA8m5RALh3715iYqKuru7q1avDwsIyMzN/+/13Ax0dFoPxsKRke2rqlPj4UFzxtoP5/nsICHh/qfPwgK++AjFnPZw5c8ba2nrp0qXPnj27ePHi4cOHzc3Nf/zxR0GrP3MwcG8J3oaGNLFYl8NZ3717qLl5by6XV1U1e9y4gQMH3rp1CwCWL19eWVnZNS/PVEmp5jtgLwKqlejU+tnMzMvQkMtiXS0oWJyQsGbtWjq1saqqynvJkl8nTBgfE6MrJyfr9nZoRkZGBw4cuHv3bv3FtLW1g4ODb9++ffDgQV1d3S5dukh5vOq5yFpaUr4JQvXYuRMmTSrX1JxWXn6rrOzmzZuff/55VbWbVFUVJCY2tltU5OjRowDw+eef0/3tlZWVp3/++TZT03/69PHv1m2ompqDmhoTV7ztYLhccHeHV68AAHR0QEcHmEx49Aj27oW6wqXk5OTx48e7uLgkJSUZGxvv378/MTHx008/fffunbe3t5WV1ZkzZ1rwE0iOIFmoIuRkdHSnTp0AgMlkOjs7A4CamlpsbOyLFy9SXr5MKy8X/ZfL5welph7OyvojJ+d1ebms297RZfIzhURICEnnpxNCCgWFCbwEQkgWP0vGLSPkLZ/v//LlmFWrAEBfXz80NHTPnj0A0KVLl9LS0prl8yorX/B4L3i8YoGg5VvbcaxatQoAaF/72rVrJarr6OgIAJcvX5b4qAsXEk9PsmQJ8fQkxcUSV0dIHCUl44cPBwBjY2NlZWUAWLhwYXBw8Nq1N/v3JwoKBIDMmEFKSsj06cTTkyxaRF69Ijk5xN1dsuMIhcKuXbsCQExMTF1lqggJSk1NKC1NKy+vEgob+9FQm+XoSABInz7kypX/nAbv3r3z8fGRk5OjEdfYsWNVVFScnJzodyMjIy0tLWls7OTkFB8fL4u2NwzXl5ANJsDkIUNGvXixdevWgICAyMhIACgsLOzfvz8AGPXurfu//4kKD1BV7amoiL0IrcSGrA1bDLZwmdw1GWumaUw7X3TeUsHyUN6hclIebBgs27ZpcTjrunW7O3VqwfXrt27d8vDwoF1Ttra269evB4BuLi6V1bKr31VWGisqKjGZ/VVVlXEF0hZBWmzBqP37obIStLXh7Vv44QfA6Q2oOXC5/ztxwsrKKiUlBQAYDMbPP/8MAAMGbIyNHQQA3bsDj/e+WzQoCExNQUcHFBRA0r+DGzduvH79ukuXLoMGDaqrDE0h0JeTw7WzOrhly+D1a3j4EPz9o7dvDwwODu7Wrduvv/66cuXKnJwcJpM5dOjQlJSUc+fOAYCmpmZ5ebmCgoKTk9ODBw/27Nnj6+t78eLFvn37Lly4cP369WpqarL+QP/RLCd3ZiZoaoK8PGRmgp5ecxyhneByuX5+fjNmzLC2tubz+V27dmWxWADQWV9fW15eVEybwwEAO1VVVRYL981pDbZnb5djyBVXFR/NPxrSJUSBqZAryN2YtVHW7XrPzs4uJibmxIkTXl5elZWVeXl5f/31F/3WjAEDkhQVRSUd1dXxgbAFMBrxZ0vrShPu47UCtQhtbW17e/s///wTPpyo/fr1mzvXbNs26N0bRDHP2LEwdiwAQGkpTJ0KACAUgvjLp9E8mRkzZtT/1+SNk8QQwPjx4OwMQUGCnTs9cnJSIiMjdXR00tLSAKB///5CoTAqKgoAbGxsgoKChg0bJqrI4XC8vb0///zztWvXHjp06McffwwPDz9x4oS9vb3MPkwNzRK4+/mBlhZs2gTr18PPPzfHEdoVMzMzDofD5/Pj4+O5dcyqCE5Lw16E1vNA6KHlocRUSkhL6MzpLAQhAEQWRcqyQTUwGAxXV9e8vLyFCxf2799/Kr1PAhgYGo6qNkU1taICHwhbWMv1uFP0N4v7QiBpvXv3TklJSb5aX1JNb968qf7PGTNmzJvnWlfhjAy4ehXevYPvv4cffhCrDQKB4I8//gCA6dOni1UBdXgKCrB6NXv27Ch/f//9+/dXVlbq6+sPHTr0+PHjQqGwU6dOGzdu/PLLL5m1PTt27tz5wIEDX3/99dKlS+/evRseHj548OBaS8pEswSCopkoZWWwZw8MHQpWVhI8WKOasBcBWtMDoQ5bR4mpxGQwZ2rOnPN6ji5bdyB3oCwbVAeayde7d28fH59aC+ADYcuQSY97qbk5o7KyUlWVo60th2mRSCqnT5+eOnVqRUWFiopKt27dLly4oFej10QoFD6ttnlq586dFyxYUM979ugBx47BuHGweTNYWMCsWQ03IzIyMicnx9zcvHfv3lJ9DtRB6evrh4SE3Llz58GDB9euXeNyuX/99df8+fPFSYCxtbW9du0ah8P58ccfd+zY0TINFkdzXcy//x7mzYPsbAgLAwBQVwd7exg3Lq53b56dnV39z+4dEL0rN+bu3hFUX5rA0xMSEsDBAeztYehQUFdvuWbsNtpNvzjU9RAAHO1+VEAEcgy5WZpi3H9aGXwgbHkt1uOunZxcXl6uo6OTm5ubDaDbMkdF7cv//ve/iooKACguLn78+HFgYGBQUNBHZV6+fFlaWir657fffqtU29po1Tk7Q1AQrFpV9ssvC0xNF9WTtg4ApaWldJL9zJkzpfsUqINTUFAAADk5uX79+r1580ZXt+HLIY/HGzp0qGK1zNLWo+kDd7r+Dp2J4usLs2ZBVBS8fg1nzsDr1yFPnvyioKDQv39/R0dHOlsOAQbuYqMPhCoq8M8/8Po1REcDAOjoCLt2HWRvP2To0KH29vadO3duySYxgSnHaKXLLOJ51UrIJscdoUbT+O9ugKI1N6pLSEgQfW1gYOAp3k69X38Nqak/BQYenjw58s6dO0ZGRqJvVVZWJicnx31w9+5doVCooqJiZWUl7edA6D1xonYAqKqqiouLU26Vc/qbOHDPzYWBA8HbGwj5dyYKAKSlQVQU3LqlxmBYx8fH37hxIzU11cDAYP78+U3bANRepaTA27f/Lk3w6BHcuQM3bkB0NJSXZ924cTc29m5wcDAAbN++ffny5bJub6uAgXsTyhcICgQCANDlcKRbgUdfX9/T09POzk6cwi9fvszLy6PLTDUGxv2oMT4K3IcOHVqzzJMnT0Rff/vtt7R3UxwbN34TGxt56dKl8ePH//TTT/Hx8bGxsbGxsfHx8dU3weFwODo6OpmZmUuWLBk4cKC+vr5UHwWhdqKJA/fvv4eXLyEyEry9//O6oSFMnw7Tp28F2FpQUPDXX3/NmTNnw4YNGLhTGGA1aNkyOH0aQkPBw+P9A6GTEzg5AQCUlanfvn05KioqOjr62rVrgYGB6urqX375pWwbjNqZw1lZWhyOdEtnvnjxAgAIISEhIQ0WLisr27JlS2BgYPfu3e/evZueng4AT58+daKnu4TKy8ulqBUbG/vs2TMpJgISQo4ePcrlcmNjY1euXKmqqirF0VHrUT1w19bWNjc3r1kmPj6efmFkZDR37lzx35zNZh8/ftzOzi4hIaH6yh4sFsvS0rJfNWw229HRMTo6evz48VFRUQ2m4iDUjjXljNH4eDhwANhs4PFg377a96wSCAQHDhx48uQJm83OysqqrKxswgag9uryZYiIAC4XTExq+a6SkpKjo+O6desuXLjg4+OTk5Pz8uXLFm9ja4QPhE2LLp3JIORJtYze+iUnJ7u4uISHhxsYGBw6dMjZ2VkU5dRECDly5IiZmZm/v39FRYWhoWH//v0TExPV1dW9vLzc3Nw+WrujLpWVlcHBwXQJfx6Px2azN27cWFBQIE7dvLw8b2/vQYMGeXp6ZmRkiPcp37t3796wYcNmzpz5xRdfbNy40djYODg4uAo3e271hEKhUCis9VvVA3d7e/taLyaiU3rt2rWSTmDT0NAYO3asQCDQ0dFxd3cPDg6Ojo4uKiqKj48PCwvz9vZ2cHBgMBhz5sx59epV9+7d792798UXX+AIEpJIY26FrfE22oSbOc2c+QiAjBpFAIiBASkpqb0YzRmio12vXr1qwga0XfRiV467otZGICDW1gSAjB1LOByyc2ftxQ4ePKipqTlq1CgAmD17dos2sbWi/buenp6ybkh7INqRcdXz5/1jY31evMioqKin/Lt375YtW8bhcABAQ0Nj8uTJdBEDDoezfPnyd+/efVQ+Li7OwcGBXpatrKxE0/UsLCymT59OLxHKyso//PADj8er57inTp3q0aMHrTtmzBg3Nze6ipmuru7hwzfr2SG3ooLs2RND+8jl5eV9fHyKiorE/OG8ffvWy8uLbkOhp6e3du1a0WexsbG5du2amO+DWlhxcbGvr++gQYP69u3r4+NTWFj4UYHffvtNFC1s27at5jsIBAI6ga9Lly4V9f5F1EooFJqYmABAZGRkXWX4fP6IESMAoFevXvT83LRpk6QHQh3ZwIEDAeDWrVviVykqKgIAFRUVev2sqqpqvuZJqskC95MnTzIYDCenBdbWqQAkLKzOknSsrW/fvgAQFRXVVA1o0+iyfVJc9TqCffvChg7dZ2IiUFUlAOSff2ovduzYMQCg462Ojo4t28ZWCgP3JhSUmlpQWSkkZHda2uB79/rFxjrcu7c/I6OsrOyjklVVVaGhoZ06dQIAJpPp7u6enZ1N/hvdampqBgUFVVZW0iq//PILvT106tTp008/pWG6hoZGQEAAvSy8efPG3d2dxk+GhoahoaHCGju6JyUlffrpp7RMz549z5w5Q1+nHeHa2rqqqgUWFuT8+Vo+XWQksbQkGhpCTc0eTk5OCQkJYv5Y+Hx+UFCQ6JnEy8uLBn9jx451dHTs0qULbY+Li0tKSoqY74laAJ/P/+mnn7S1taFab6Kent6+ffsE1R7v6NaS1O3bt2u+jyjB/ZdffpGiGdevX6fH7dq168qVK+sq9vbtWxrfjxw5ksViMRiM8PBwKQ6HOiYM3GtRUVFB+3jGjh2rpKQ0e/ahGveUfzk7OwPA8OHDAeC3335rkga0aRUVFbRbrmZvR4MyMzNv3Ljx999/8/l8Seu+efPmzZs39+/fl7RiS8rPz6e3lkmT5vXte2XSpDpLxsTEAABd5dfU1LQF29h67d27FwDmz58v64a0N9kVFd+/fNk/NnbWP/98FEbfvn2b3iToVe7Bgwcf1U1ISBgzZgwtYG5ufvbsWUJIWlqahoaGs7MzXfGgerhf3ZUrV/r06UPrDhw4UHQfevfunY+PT81wv7q//37VrRsBIADks8/IvXuEjvDdukVGj37/uoUFuXz544PWIzIyUrTMSPVw/8mTJ/Sapqam5uLioqKiAgBycnJeXl7i9+Kj5hMZGdmrVy/6ixs0aFB0dPStW7dEE0/Nzc1FYfGtW7foi0pKStVPKoFAEBUV5eXlpaGhoaampqysXFLXIHu9vvrqKwAYPXo0HSCqp2R8fDztbh87diwdfXr48KEUR0RtVVkZSU6WrioG7rXw8/MDgB49eigpKTEYjBs3btRTmM4apCkNgYGBTdKAtisiIsLU1JTD4SgoKBgaGoaEhIh5ftCOLlVVVU1NTQaD0aNHD/F7IEpKSnx9fRUVFQcMGEC32Hz58qX0n6E5eXt7A4CdnR2TyZSXl3/+PLOukqmpqQBA14JUUFCo2R/Z0eTl5dHpjKamppL+fhMSEsaOHRsQEODh4ZGRkSFR3djY2NmzZ2/evPl///tfq7rYNbm4oqLRru+3hxw6dOi5c+fc3d1p52VdneIiERERxsbGot7oP/74Q7SAzIgRI2qG+yIfdefPmjXrxx9/rNm7X6uKChIURFRViYoKmTWLfPstIYS4uxMul6irk4AAIv6YX1JSkouLS83e/VoLdO/efejQofQnY2BgEBYWhn+esnL37l3aawYAZmZmH9016P2Ifnfw4MHR0dFJSUn0nyNHjiSEVFVVXb16dcGCBTo6OqKeeDpVdNGiRZI2pqysjI7VWFtbA8DRo0frL3/27FkWi8VkMmn3X9euXes521G7cu4c8fYmwcFk3jwpaosC97y8PFdX1/j4+AarCASC2NjY+/fvt5/Anc/nx8bGBgUFubu7W1paqqurM5nMrVu32trazpo1q/66vr6+oifsxYsXS9eAdiAqKkrUM2dqampmZka/HjBgQIMZRCdPnjT5ME/TwcFB9PWYMWOePq2v276ykvzyy2Haq8dgMPr06UN76ZSUlL777rvi4uIm/YjSq6ysvH//vp+fH5vNZrFYQ4YMAYBVq1bVU0UgELDZbCaTqaWlBQA5OTkt1trWpry8fNu2bXRWGe3slJeXX7lyZc286pry8/O9vLxodymXy6U9W5s2bao/r5qi6Rz0MkffoW/fvhcvXmyCj9RaVVVV/fLLLzRupuELl8tdv359zfyZmng83ubNm+kviP6/W7dux48fF+e41RPo6f9HjBghZgdkWho5e5bMn098fMjDh2T+fHL6NMnNFafqvy1fs2YNAKirq9fauy9y+vTpnj17igJBW1tbAOjfv39qaqoEx0NNITU11dPTk/55amlp1fWL4/P5ISEh9JRmMBgTJkygv75Fixb5+PhUX4rR0tLS19c3MTHx/v379OTfv3+/RE369ddfAcDGxgYA1NTUxPmr2bRpEwCoqqrSbNuhQ4dKMdqM2p4ZMwi9B61dS54+JRcvErF7oy5evKipqamgoDBv3jzaFchms728vPLz8+uvKBQKw8LC5OTkNDQ02mrg/uLFi19//XXJkiV2dnb0ViFCgz87O7vi4uIGR0L3798PAJ988gkATJgwoXHtb5OSkpJcXV1p/5OWltbIkSOjo6OrqqrCw8Orp4Q+e/asZt3ExMTq4+y0o4tearW1ta2t7TkcoacnqTVqjYwk1tZk2LDdADBw4ED6eECDLdoYbW3toKAgQT3z15pTZmZmRESEr6+vi4uL+oetULt27aqlpRUfH79o0aIGU4noT4+O3cfFxbVMs1sVoVAYHh4uepAbOnTo+fPnRXdrTU3NgICAuuZA067c6qkat2/fnjx58ocTcvGJE3Uet6iIbNjwls47l5eXX7FixcGDB0U9yk5OTo8ePWquz9wK5Ofna2lpMRgMNpstae5ZRkbG3LlzDxw4IGa4Xx1NhQKAIUOGSFSREDJ/PikpIdOnEylmQERFRQGAkZFRrhjxvujqxGQyb9++PWPGDABYtmyZxEdFjXDs2DG6vLqiouLq1asLCgrqL19QUODj41PrtpEmJiZr1qz56C/68OHDAKCgoFBrHnxdaMc57cUTcyqOUCicOXPmuHHjnj17pq6uPn78eEy+6hDmzSP08rh8OXn1inTuTOTkiJcXqfe3//z5c9EtjK6yZWBgMGbMGPr1RxONPnLr1i1R12rNEUXZajhwFwqFsbGxH+01xWKx+vTpM3/+/IMHDyYmJubm5tIcdxcXlwbDvgsXLtAonz5qN9EHaRGNSLGi3r596+PjQ6eicrnckSNHampq0gCLFigtLQ0ICKDdbxwOx9PTU9RznJeX5+XlVc8Jl5ub6+PznMUiAERLi+zZQ9LS3qexRkaSkSPfp7Gam1eePHnqo4bduXNHlOBoYWFx6tTHBZrJgwcPgoKCpk2b1rVr149uDz169Jg2bVq3bt0AwNHRUZyZu/b29gBA///nn382f/Nbl5s3b9LPDgCmpqZOTk5qampZWVmEkNjYWLosA9Q2Pk4IuXTpEp0eQH/a1VM1Ll26ZGc30MDgFQAZMYJ8lMRRVUVCQ0nnzgSADB0618XF5fnz5/RbFRUVommLbDbb09OTNqb9ofux007Hr776qmUOyufzaWc2vZ5cvXpVoup04sPZs2TUKIkPfePGDfrwHxIScuzYMXGq5ObmhoWFEUJ27twJAEuXLpX4qEhaubm5M2fO5HA4rq6uEk0Rpp30HA6HzWbr6el5eXlFRUXVleb09ddf08c5MdNX0tLSWCyWgoKCgYEBAERHR4vZqvLy8qqqqtLSUi6Xy2AwcG26DiEmhnzxBfnmG7J1K9mwgTg6EgaDrmD4+vjxmuckzQemD6tcLtfX1/fGjRuDBw+m9zhra2vRsl3m5ubnzp2rXjc9PV3U26Wnpyd+AnOLaThwv3TpkoGBAYPBUFNTc3Jy8vX1jYiIqDnEkJiYqKGhoaVl7u/fQIpCenr6li1b6BiZtra29G1vYY1LsaIROQ1imEymo6MjDUnhQyph9cL0vKGrT2hoaPzwww+7du2iczRpAFRPHkhiIhkzhgCQIUOIp+f7NNZBgwgA0dAgAQGknjUnIyIiRJ21Tk5O9STaNonLly9/9tlnokhdWVnZ3t7ey8srPDxcdOlPTU2lg7Nfftlwf8y0adPk5OToiMSPP/7YrI1vYo17Jnz69Knrh2Trzp07Ozk50UEwRUXFiIgIUbHIyEjRnuGDBw+OiYkhhDx79kxU18jIKDQ0tOb7CwRkzx6irU0ACItFtm17fxa9eEGsrN4/ENrbk1u3arm6VX9YVVZW9vX1FSfrpg0RzZ/evXu3vLw8k8m8c+dOCxx3+/bt9K5Dkw/79u0r0ViZQEBcXcm0adIcmgbuNMOhV69eEtXFwL3l0f2/unTpIl112u/eYCIln8+n2fP29vbipK9s3rwZPqwD1qNHD0mnPYSHh9PrmES1UNtWVkaePSNycgSADB5MbGyEGho9NDX79+8vCqKEQmFoaCid7Uan8L1+/brWbw0fPpyO0hsaGtKBaNrZVH0yvRRLhrSAhgN3uhGat7d3gyWvXLlhYsIHIHv3NlAyIyNj3bp1LBZLTU3thx9+aBvLIH6UYiWhyMhImo7i4ODQr18/0aNePTNKHzx48NFeiaNHjxZzmbY//iD37/+bxjp3LvHzIw0ldBHyIT2aZqr0799f/A8oBRpEjhs3bv/+/Y8fP67rofbevXudOpnY2WVv3NjAG5aUlAiFwhUrVgAA3aSjbWjcM+F3331Hx2FUVFQmTpwoWt+t1t41Pp8fHBxMpwEwmUwbGxsa4quoqGzevLn+nQTevSM+PkRNjUyf/v6BcMECMn066dKFhIaS+m+7CQkJoqmKXbt2vXLlihSftHXanZAweNasESNGEEJWrlzZc9gwn5s3m3vqZV5eHh2sO3v2LI/Ho70AISEh4r8Dn08ACIcjzdGjo6Phw5K+VlZWEtUNCgoS84aCpJCZmUkj4PT0dNGLNHDv3r27dO9JA/fS0tIGS2ZlZRkaGoJ4qVAWFhYAsGLFik6dOm3YsEHSVtHuhh07dkhaEbVtfD7ZuZOoq9Pr11E3N9HU/C+++CIyMlLUrW5nZ1frMA7tjKc3Pi6X+8knn/z666+kxoIBL168aPHPJq4GAnc+n0/v8XPmzPn1118b3CHo4MH3fXJ1pVpER993c3OjcYaIpaVlG5jBVj3F6u1bSWvTs+TChQt0oWWaTV5XclV1Z86coRG/FOkrUqexvn37lp7939IArRk8fPgQALS0tMR5oj11qoLFIgwGqX/VgaioKFdXVyaTaWhoyGAw3N3d20ZuRiOeCe/fv+/i4sJisdzc3EQTJJycnOrPtKarB8rJyXXp0oX+oDIz61yup0bd/8xrzMuTYCmSS5cu2djYMJlMX19fceKA1u8ljzcwLm5AXNzTnBxCSFFJybiHD/vFxp7Py2vW486fP58+9NJ/Hj9+HAA0NTXzxD5uZSUBIGy2NEenS6/SwN3S0lKiusHBwQDg5eUlzYFRQxYtWkSXZfTw8BC92GKBOyHk5s2b9GZ38ODBeooVFxdPnDiRy+W+ffu2srJS0qUkMU+mo8vLI15ePDMzBTZbQ0NjzJgxCgoKCgoKokW9jhw5Uv8YTnJy8vjx4+kds1u3bvRqBgB9+vRp/f1KDQTuERERAGBhYcFgMJSUlMT561q7lgCQAQP+0wNXUUHCw8ngwcTe/iUA0GS7yMjIyMhI+tgNrX+HjuopVpKj+a8lJSVPnjzx9fUVZ/2WioqK8PDwkydP0qdJKQ7amDRWf39/AFi3bp0UxxXH6tWraYipoqLyww8/NFh+504CQBQUSM1H6OJismeP0MbmfXq3oqLioEGDaG6Gurq6mA9IstSIZ8J9+/YBgJubW0VFhYmJiYWFhfirgq5btw4Apk+fLml7GzOvsaqqii530zaeqRqy5NmzfrGxP3wYiiWE/P32bb/Y2LGPHpU1W1rkkydP2Gw2m81+8uSJ6EU6z0/8FBQM3NulRYsW+fv7b968ecqUKaIXWzJwJx/2fVNQUIiNja2nGF2g4pNPPpFiyJ1ut4d5Mh3c04cPRXO3unTpoq+vr6CgINGWzxcvXrS2tmYymdra2nTqoKwW55AIE+r1+++/06FtQgh9Pq6/PABs2AA//ACHDgGfDwCQmQk//ABGRuDmBjdvwqtXXf38Nr969So8PNzJycnJyenhw4d0PfLTp09bWVmtXr26pKSkwaPIQHw8dOoEWlpQXg7JyZLWpoMMVVVVVlZWfn5+dP2N+hUUFLi5udGutY+W8RHT0qWwejWkp8OFCxLXraqqAgCaZ98caB9hWVlZcXExTf2v39KlsHgxaGlB9XUOUlJg9Wro2hUWLWIoKy/U09Pz9fV98+bNzZs34+PjXV1dCwoKli5damVlVX3/v1ZnzhxYtAhWrAA9PdDSkqgqPa+4XK6cnNw///zz+PFjUcJ6PUJCQhwdHZ89ewYAenp6UjSZywV3d3j1SuKKTCaTdopId0q3KreLimIKC7ks1vxqP0MXLS1LLjeHzz+cldVMx122bJlAIFi8eLFoxgIA7Ny5k81m79q1S7STZf0YDDAySjE0TJGiAfQ3SAgR/V+6uqg5eHh4fPXVV/RmXVlZ2fIN8PT0tLe3V1VVpY/odQkNDTU0NLx8+bKHh4dQKJToEPT2Ic61DrVjPXv3vnLlSkRERPfu3QsLCzMyMn766SfR8h7iGDlyZFxc3D///HPq1KkXL154e3s3X8zTlOoJ6ktLS2l8STvFq89ya5BoWuSCBeTLLwkAsbEhISGkruXO0tPTRYsSGhgYVJ8hx+PxWsWUXkdHAkAcHAgAkXzFEpqQKv5ANiEkLS0NAOjUTGVlZUmPSAg5e5YAkLFjpahK6DrN4vSFS+HmzZsA0LlzZzk5ORaLJWbnq0BAsrNJRsb7mZFnzxIm8/3MyKFDycmTxTV71qvv7NhKh3QSE4mGBunXj6irEwnThQkhYWFhAODu7i5RrW+//RY+rMLm4+Mj6UEJIaNGEQBy4YIUVQnd/rB1TvoRU15l5Qse72FJycbXr3+rsYbGw5KSlS9exJeWvuDxXvB4xU3ahUOH4DQ1Nd/WGJxZuHAhfNgop0ECgQAAWCyWFG2gf790D1dzc3OJ6v7000/QsXfwaFaLFi2iXeOzZ8/+5ptv6KZILdzj/uTJE1rl9OnT9Zd89OgRnU8l0VVIlCfzutpIF+rIysrK6JDjX3/9Jeu2tIT6etxPnz5dUlLSp0+fxMREdXV1utepmBgMEArh0SMgBFavhhs34N498PSE2paFBRqehoWFXb9+3cbGJj093cPDY+TIkQkJCQCwdu3a/v37X7t2TfyjNwvaRUT/z2BIWpv2jNKbpZhoZwmtKF33JJ1KIMkx/6Wq6jB8uI+mpr00lRty9OhRAOjduzefzx85ciSdXNIgFgt0dcHPD/z9AQAiIqBXL3B1hZs34fp1mDxZ+aO5E/BhbZy6hnTCwsLevXvXlB9MCgIBvHsHJSVQUABFRZLWluK8gv/2w7X8qUVbW/OX1YYczsqKKSx8Xlbm3qnT9P8ulQsAvbncLcbGkfn5MYWFD4qL86X7MdWGz+f7+PgAwMaNG7VqDM7QFy9dunTq1KmmOmKtsNe8lXj69OmOHTs8PT3T09PpK7t371ZSUqqoqKisrIyJiWGxWPfu3WvJJlVUVMycOZPH482dO5dO6KqHtbX1yZMn5eTkAgMDf/zxx/oLv3379s2bNwBw+vTp0tLSwYMHi2b1oA5OUVGRZiN3EPUF7jS6oiPpn332GZ1xIr7vv4eAACAEevQAe/HCPwcHh9jYWLoLzNOnT+3s7GbNmvXnn3/ev39/xIgRbm5uL1++lKgNTan6XaoDBO7Z2WOvXQvg8YZLU7leQqHwxIkTAECD5mnTpklUvfoz4b17EB4OH9ZjrR2Hw/H29k5MTJw1a1Z5eXlgYOD48eOPHTsWExPzxRdfmJiYBAYG8mlel0xUfxSU/Lyi43ptK3Dv1CnRyOgFm13HQ3wbISREANC53p+eOGUkkpqaymaze/XqNW/evJrf1dTU9PX1VVJSyszMbPCtGhN807osFsvT09PNzU2cKjwe7+zZs408LhIpLy+3tLS0sLD45ptvfvnll6lTp1b/bkZGhpKSkr6+/qNHj+gyAC1m5cqVDx8+NDU13bFjhzjlHR0dDx48yGAwli1bRkeTqMLCwri4uLCwsNWrV48fP97ExERHR4cOFWKeDOrg6gzci4qKzp8/z2Qyk5OTQfLoqrgYysqkyYJlMpmzZ89OTEz09PTk8/lHjhx59+6di4uLiorK8ePHzc3Nvb29iyTvmGw8gaIiUVfny8kRdXUBs4G5ATVJHbjTyEwW3aL/vkPTunr1akZGRrdu3e7duycnJzdx4kRJ30H0TCh+Npq+vv7hw4dv3749aNCg/Pz8adOmLViwoF+/fu/evVu9erWNjc0///wjaTOaRlM8ENIJCeKTbeD++nWX1FRjNlviD9uq2Kmq2quqsuv9lYlTRiImJiYPHz48ffp0XeMVCxcuTEpK8vT0bPCtiouLAYAQIsXllGbxFRUV/fTTT3QWe/1OnTplZWU1YcKEhw8fJiYmSno4VNOZM2eq/yRf/fdG271797179w4aNEhXV/fw4cNZzTbd4iPnz5/ftWsXh8M5cuSI+HnGM2bMWL9+vVAonDVrFl1p9M8//1RXV+/fv7+Hh0dgYODp06dTUlLU1NRKSkoOHz58+vRpBoMxZcqU5vwoqI35ixACMLHpLratWZ0B6MmTJ8vLy/v375+SktKpUydHR0eJ3pfFAj09yMuTZlokfOg6OnLkiIODQ0FBwenTp7W1tYcPH15ZWfnjjz+am5vTZ+6WNLKsjFlQ4FhRwSwoOC95dRn1uN8EYAgEQ6SoS0O75phASGc89+zZs6qqaty4cTT7X0yEwLVr8McfMGOGNDMj6cKuS5Ys6dSp0+PHj+/duzdq1CgzM7OEhITRo0c7OzuLObGvCWUzGOeGDz9rZnZu+PB/bG0lrd6YVBna6yndqdWt28Phw28xmRJPbRQKQSgEJhMkf/htXfTl5Azk5Zn13ifEKSMpDodTc5thETabTRfSrgchJCwszNzcnC5NY2xsHBwcLOazX2lpqZ+f38yZM1VVVV+8eGFlZVX/pfjhw4eOjo4TJkx4+fJlz549V6xYsXv37r59+y5evFicw6G6ODo6Vo+Mc3JyKioqqhdgs9krVqxYuHChlZUV3dm3ueXk5MyZM4cQsnnz5gEDBkhU97vvvvv66695PN7EiROTkpJ69OghJydnampqb2/v5OTk6OjYq1cvPp8fERExe/bs7t27e3t7Y54M6rjqSn6nu6Xs3r379u3bf/zxh0SJ83w+0dAgACQpSerkeyIQCKytrRkMxrBhw8zMzGhrBwwYYGtrCwCHDh2S/q2lMnToUACgq5s3OOemph49egBAkiQ/kbt37wJAr169AKBHjx6SHpEQcvv2bQCws7OTou7cuQSA/PKLFFXrI9oZYPXq1bq6ukfrX5i9hrt36SbHDWz3U7/S0tLevXvTlV8BQElJydnZmc6Y5HA4yY3YwVQK9+/fBwA6g1aK2WNnzpyBaut5i+mLL74AADqbJygoSNKDEkJmzJgBAEeOHJG0Ynk5ASDy8lIcEzWBmzdv2tnZ0cupra2t7YdnRVtb2+vXr9dTUSgUHjx4kGZOMpnMTz/9tGfPnrSuk5PT48ePPyqfl5fn5eVFBww1NTVHjhxJky1VVVW3bt3aKtYbaFPu3buXmppafUo33WlOpK79YtLT09evXw8fVoeT1I0bN2jvwBdffBEeHl5z03RKKBTSjHZnZ2fpfrmVlZU06tDS0urTp0/N1Fwmk2lqajpp0qQtW7ZI8f6onZswgQCQv/+WdTtaQp2B+6lTpxQUFMaNGyfFqpYXLhAAYm3dqJaVl5evXbuWTk5XUlIaP3483RKSyWQ6OjqKv19MU3FwcBAF7mfOnJG0Ol2Zh+57Gh8fL06VpKQkV1dXmswq6WLJVFxcHADY2NhIWjEjg+Tnk/x80uS7W6SlpQ0ZMkRTU5NOnxJnZ+zq1qwhAGTJkka1gS4zTH+qzs7ONOlWX1/f2dl58uTJjXprydGpYzRwNzY2lrT6+fPnAWCUhAv1z5o1i8Zb9OFc0oMSQmbPng0A1Vd/ElNFBXF1JTNnSnFM1Cjp6emenp5MJhMA9PT0nJycLly4QAiJiIigG69C3Ssv3b17d8iQ9wN3dnZ2N2/eJIRUVlaGhITo6OjQy7K7u3v2hwV2nj9/TpcC5HA4n376qYGBAQBIutUXot68eUOXXOvTp4+ent7x48fp6xkZGbTrgapr15hbt24NGjRIXV1dUVHRx8enwV0URTIyMmbNmkUvj4wPo0YsFqtfv34+Pj6RkZHVr97btm0DAB0dnYyMDKk/aVlZmZ6enqgrnZ6lXl5eISEhUVFRkm7ShDoWDNwJIfHx8TSHYfbs2fVvQFXTggUEgPj6NrZxhJDU1FTRMpF6enqOjo706V9TU3PPnj2Shn2EkDt37jx//jwuLk7Sivb29gBgbW0NAGfPnpWorkAgoKPbly9fPn/+PL2BZddYRa5WdDmdPn36SNpg8mF30p49e0pasfpqnk2rqqqK/gynTZsmRceMuTkBIJcvN7YZ1Tc3Hjx4sGgXsAEDBsTExDT23SVBH67ogtwmJiaSVr948SJ8WAHw999/37dvnzg/1ZSUlKioqJkzZwLAvn37pGj2l19+CQAHDhyQtKJoNc9G3N+RZCoqKujCSgCgqKjo7OxMr+29e/em1/aysjLR4sdycnJeXl6iHUwyMjJE4b6+vn5oaOhHt4P8/Hy6Cy8AqKurBwQE0NBw+PDhAwYMEO1HKAr3kfiKi4vXrFkjGhgUXbImT56clpZGPiwASoWFhX1UPTExcfLkyfS7qqqq9JfYq1ev27dv139cPp9f/YTx8fGh/dxOTk7VO8KVlZVdXFxCQkLOnz9PN638u3FhU35+Pl0g+Pz58+LsUYjQv06cIAEB5NkzWbejJdS3jvutW7foJg7fffed+O9YVUX09AgAefCg0a37ICoqqn///vRisXDhQhcXF9r/3aNHD/H3iUxNTaV3IBsbGwaD4erqKv5uybdu3aJ9otra2iwWa+7cueKvQn3p0qXevXvTu5qqqurUqVPphVhDQ2P37t31DGgIhcLQ0FAdHR09PT3xP2Z12dnZX331FYvFcnFxefPmjZi1qqr+s6d9ZWWj8lJqEq3dS9cYFl9SEgEgWlqkSTZC5fF4mzZtojsVyMvLjxs3jq5KOWLECHd3d0n7jU6ePPn5558vXLjw4MGDEj2QxMbGampqGhkZcTgcU1NTiQ5aUlIyZ84cBQUFHR2dK1eu6OrqAsDAgQPr37CQSk1NNTU1BYD//e9/Eh2UotMfp0+fLumIXPM9E6JaffSMam5uTr/+5JNPHj16VL1kWlpa9Rh9z549O3fupNHbR9F8TU+fPhWt/WdmZhYaGjpnzpx6wn1UP6FQGB4eTvueGQyGvb39unXrhEJhSEgI/Y1wudyAgICUlBTRHJXqe27k5uZ6eXmJdmfz8fEpLCyMjo6mv30mk+np6VlXB/alS5dEG3uJRmDi4uK+/vproVBYXFx86tSpxYsX0+TP6hq/Nj/dB3r06NGNfB/UEZWVkZZNc5Wh+gJ3Qoho+YKdO3eK+Y4JCURBgUi71UOd6IWsZ8+eL1++JIScO3dOlGE5ZswYmoJSl4KCglWrVtFwWVFRcejQobTbQElJad26dfUPwKWkpIhW2jIyMho5ciTt/p8wYffhww1EtMnJZMYMHperCwDdunUb9GHZQgsLC9G4c9++fWvt4o2NjRWVHzFihNT7w//22290fVNVVdUdO3bU3KLoIxERxMyMfP75v3vaBwSQfv1IVJR0x6/dlStX6K9j06ZN4tf64QcCQObMacqW0Dsci8XS1NR89erVmjVraAq+iorK5s2beTxeg+9w584dOv9BxMbG5rIYgwJCofDo0aP03sz8MFXTxcXl2bOGt2sWCsnRoxdoBgL9C2UymWPGjDEyMoIPeQu5ubm11q2oqAgICKDP5NOnT2/wWLV6+/Ytvbvb2NiI2ZOam0tu3frPM+Fff5GCAumOj8Ty+PFjer2ysLAQbcRhZGRUT45TTEwMnVkoyo6YOnUqveo2KCIigs5HoimOCgoK3333HWY4SKp6YpKVlRX9dcjJyT1//pwQkpGR4e7uTr9ra2srel5asGABIaSkpCQgIIAG92w229PTs3ofBI/H8/X1pbG+sbHxpUuXqh+Xjm+Lnr6qDyzHxcXt3r37o/IvXrz4+eefJ02aNGTIkAMHDohztawfXQOj5SewoTbv3Dni7U2Cg8m8ebJuSktoIHAnhBw+fJjBYDCZzN9//7366wKBICEh8/Bhsnw5GT/+/Yt0HLyoiFy82BytJdX7Mvl8fkhICE18p1eonJycj8rTMrQnlcFgODg4eHh4kGpZgwCgp6cXEhJSs+OwpKTE19dXNEzp6+tbVlZGCLl9+/aECTM5HD4AGTKEPHlSSzvLysiKFUROjgCQ0aOjAwMD6fAx3ZuXNmbEiBF0/Qcmkzlv3jxRA/Lz80WTuvT09BrfWZWWlia6HPfs2fOff/6ptdjTp++3wxTNTzh7ljg7EwsLAkAYDDJrFklLa0xD/uOvv/5isVgMBmP//v11lcnP/09CxZ9/EmdnIvnE4IbFxsaKBnlfv34t+nHREKeun79oDAcANDU1/f39f/vtN/r7hTpm7FU/oijct7W1vXTpUlBQkJqamrW1vZyc0MuL1DOic+cOGTKE9O37DgD69+8fGRnp6+tLn0U1NDTGjBlDv9bU1AwKCvqo+//y5cvVu9PEH3SqqfrJXH/qV1UVCQ0l2tqkc2cyZ877Z0I3N8LhEE1NEhREmnRrUfSvXr16ycvLb9q0ic5qUFZW3rRpU4NZzkKhkO6Go6ioKM4jaHUVFRU0jcrIyEjMcB+JVJ+H0Llz59GjR9McJA0NjYCAgIqKClHJiIgI+sxPr6IAMHbs2JCQkM6dO4uuPx+NqIg8ePCgX79+9C/X09OzsLCwrKxMdLPjcrm+vr4fnSQ5OTna2tpubm7V29C0MjIyWCyWgoJCAT7NI/GVlpK//yYzZhD63Lh2LXn6VNZtanYNB+6EkICAAADgcDjnz58nhFy8eHHgwIGKioomJuNpnAdAXr8mVVUyGAenaxfQTsePrm6RkZF0SRYAsLa2FiXbiG5Fd+7coSk3tEdKNOWU5qjQKyBNqvloa2WhkISHky5dCJtNao3NBAJibU2YTOLuTj6ai1X9EqmmpkbDLNrxKcqNoT9tLy+vJtwW/tKlS6JMbhcXl9TUVNG3SkpK1qxZ2737KwCiqUn27PlPIFVSQtauJQoKBIAMH566cePGxvesUHv37qU3HtGyRenp6adPn96wYcPXX6d1704AyNdfEyKLxOjLly/THd0BYODAgbdu3ar+3eLiYtEvUU5OztnZuVOnTmvWrCEf8onV1NREz5MfRbTV783a2tpBQUGiZ7bs7OwVK54zmQSAmJnVHs7+8gthMN4vrXPs2A3RQ0VycvLo0aNFvXSi1UK2b99OC1R/fuvRo8e5c+ca/1OqfjKrq6tX/ywit28X29q+v0qMGkVmzSKEkLNnib09GTbs/et9+5IbN942vj3oI3QE5s2bN2/evPnyyy/T09MbrFJaWhoZGUn3Xu3UqZMUB6V1XVxcpKjbkVVWVtJtcRUUFKovxlDXU3FhYeHixYtFg3WinBl7e/vo6Oj6j8Xn8/39/elTQadOnWiWHYPBmD17dl2zh0+ePDl16tQhQ4ZI+rnyKitf8HgveLzieh/Qd+7cCQBTpkyR9P1RxxURQbp1I0wmmTSJlJURQsjy5eRt+7+ViBW4E0KWL18OACoqKrGxsZcvX6Z/5CYmZiNGVI0ZQ0aMIGZmZNy4/4yDt6TExMRx48aJOpWDgoKGD3+/5aexsbGTk5NoVTLR3CmR6jmgTk5OR44cEeWo0GW/6zpoURE5deo/MWVm5vvkmfR0cusWuXevzgY/f/5c1GBLS8tTp07FxcVVz415UmtPfuPQKUc0q5t2q1RUVBw/fpze3QcNmvzVV6SO9Ary8iVxc6syNHQAgG7duolWNmikdevW0Y49uhSd6OFq+PBrAITLJW5u5NdfycyZMkiMrqqqCg0NpcM19PaZmZlZcwxHlOvp5OQkCqPfvn0rep5UVlb29fXl8Xg0pq8+BbDWB7N798jQoWTLltpPrUePiJ4e8fEhteYbi/rh6OJLffv2fffuXfXfOx07En9lCXFUP5ltbGxEqV/0odrQsBuXW2JgQGrNzoiIIN27Ew0NoaZmj7qWNEFSEwXu4ldJSkoCABMTEwzcWxjdA87Q0PDu3bv0yX/kyJF19ZqLxMXFmZub01Hxnj17hoeHiz9C++TJkwEDBogG6OpfLW3JkiXBwcF79+719/cX9yMRQggJSk09nJX1R07O63ovOzQjqKnuLKh9exUXRxwc3nf82NqSgwfJF1+Qb74hW7fKumktQdzAXSgUenh40D/vBQsWODg40FtCr17Fok53Q0Myf/6/udEt7++//6ZRFF2JTFtbe+LEiTRe4XA4tebSUDweLzAwkF4raXZgly5dfvvtN3GugNUHGRYtIjSf08NDrAafPHlSNP2IDncaGRlJNw9VfCkpKRMmTKBhFu3UAYB+/fp91KlcqytXroj6oRs/FYlasmQJHXx48ODBsmXL7OzsRo8ePXVqUJ8+REnp/anl6CibB0JCSEFBwTfffEO7ppSVlWlaOX2oowsN0bOl1oyaJ0+ejB07lpYxMDCga2ADwNSpU+uPUIVCIhDUeWrVP+BBU7xog7W0tBYtWlR9pOWjsaMmJFpVkMFgzJo1a+vWrXTpEnl5+a1bI0tL66xYVkaCg6Npzr2iouL333+PWdFNhV5eJPql062yaV+Grq6uFAc9ffo0AHz66adS1O3IIiIiAGD8+PGEkEOHDp08eVLMirm5ufTq1OAUppry8/PhAx0dnXp2Zjh27JiOjs6YMWPOnz8vztCNSFBqamhm5rGcnMfFxVvevHlYXFzztvrixQsGg6GiokLzURGqy/uJ1yxWQe/eREvrP6mWHebkETdwJ4Tw+fyxY8dW365MWVn5iy8eLllC/vc/cv8+4fPfx1VnzxIJ15VuMhUVFTQq7d+//+3bt2mXp4uLC53WU7+cnBy6UuGnn35aWk+g8V/VBxkWLSL+/mTzZiL+cF9paamvr6+NjU2vXr3qX7ehaV28eNHc3Hzy5Ml1ZTjURdQPXf92LeITCAR0zTJ1dXXRaK+hoQMN2Y2NyWefkU8/leUDISHk2bNnrq6uLBZLQ0PDxMRk8uTJdIRaS0tr586d9ed9Xrx4sU+fPgoKCoqKijY2NlevXhXzoI05tZ4+fUr3V6KD4D179qSLdjer0tLSb7/9lj4z0D+90aNHi7mhVXp6Op12wuFwnnaAJMWWMXHi+eHDz755I0HS8LNnzwCAzl7AwL0lHTt2DABcXV0lrVhQUED7PqQ4KA3cGdU29x07dmytT3rJyckzZ86kD9UeYnZNEUIICUpNTSgtTSsv3/bmTb/Y2H6xsS6PHgWnpSVWy8nZuHEjALi7u0vxEVAHIRAIqq9a++uGDfVNBWvXJAjcCSHFxcXPnz9ftWrV0aNHnz592jp3v9u1axcAfP3114SQbdu2ibnkxc2bN8PDw+l+kCEhIeIfrvogw6JF5NUrkpNDJL3+VFZWStFZ0kg8Hq+srKyunfDq17T9Ijweb+bMmVOmTGGxWJaWljNnzty2bfvly8J3794XkPkDIUV7lBMSEo4cOVL/GM5HysrK6LCPRH8yjTy1hELh4cOH6bTXljy7nj59unDhwh07dki64zIhJDo6eteuXc3Rqo6pa1cCINk2atUDdx0dHSkOKt1uvig0NBQAZs+eLWnFxgTuOTk5AECDIREVFZVdu3bVHEJctGiRv7//5s2bJcpED0pNLaisJIQkl5UFpaaOe/SIhu+9Ro3q1q2bj49PYmIinY0m6QYpqENJSEigk6qdnJzE3MWyvZIscG8Tfv75ZwCYL2FSxZQpUwCALkcl0crW1WPKRYsI7amXpD8CvZednS3+QIdMiLa/FQqFYqYf5Obm9uvXjybMKCkpSXQ4PLVQI0kRuD9//hwA6DMqBu4tie7o7Cn5qGJjAvfMzEwA6Ny5syjxT6T6AgbUokWLXr16lZOT05iucSEh94uLg5KT6WCgiLq6uhQ7KqKOg24esnTpUlk3RPaY0O7QMfqqqiqJagkEgo/eQUx79wIAjB0LFy7A7t2gpAQAcOiQRAdHAAC6urp0yflWi54YAoGAwWBUzxmrB4/Hi4uLe/ToEUh4XgGeWqjRaAYEIVJWJ1LVpHkX0tXtyHg8HgDQNZpaDL3xsdnsvXv3ijIVAYDL5db6G9TR0dHR0REtZSMFBkBfZWXvHj0yMzOjoqLc3NyYTKaCgkJFRQWdGI1QPURTtjqydhu4Vw/ExUHL03C/+vULIRG6NpFEz4Si+yLgeYXaAgy7ZaW8vBxaPHCnVzMWi9WrVy+6dhwAKCsrnzt3zsjIKCMjo3rh3bt3076VQ03Rf8BkMjMyMiIiIoRCoaamJo/HGzNmTFpaWuPfGaH2DQP39yorK+HD7UrSnlHUQUhxatHzilbE8wq1pMxMePoUCAF5eQlqKSkpOTk50bX5sMe9JdHAnW4622Kq9yysW7du3LhxVlZWo0aNohtBrFmzpvkOfTgmZtq0aeXl5YsXL05OTnZwcEhPT584cWJJaWnzHRShdqAdRhKN6XEXCoWAPaOoDlKcWrQwHVnG8wq1JD8/0NKCTZtg/Xr4+WcAgOJiYDBAWbm+Wp07d46MjMzMzDx+/HjLtBNRNHCXl+gxq9FEPe4AoKSkROcnfP3119u3b5eTkysuLm6OgwoJ2ZaaelxefsLmzcM4HNrT/9dff9nb23edOfP7jIxtpqasagvdIISqa4eBO70GSdfjTgN37BlFtZLi1MIedyQrDAYIhfDoERACpaXA5cL330N4OPj5wVdfAYtVZ8WLFy96e3srKyuvXLlSiuP26tUrJCTE0NBQ+qZ3PAKBIDs7G2Ta416dh4eHkpJSQkJCkx+RJxSuSUmJKiyUYzAWzZs3SlOTvq6lpXXhxo2v0tOjioq2pqauFm8SEeo46CAeA5/o2mXg3pjJqRi4o3pIcWrR84pG/HheoRb2/fcwbx6oqMC0aVBaCoWFkJkJ8+dDVFTYggUmNRcSSUpKWrZs2blz5wDAwsJCtFObRAwNDen6D0hMFy9eXLZs2Zs3bwCALh3bYqr3uFeno6OjpKTUmEmoH8kXCAoEAgDYk54eVViowWbvMDW15nKrl+mqrf2joqJncvKJ3FwDeXn3Tp2a6ugItSftPMc9Ly+Pdnk2yNbW1snJiT7MYUoDqpXUOe70vojnFWphXC64u0NSEsTEwJUr8OgRODmBtXX6n39+PXTo0OnTp2dlZdGSJSUlfn5+ffr0OXfunLq6ekBAwIMHD3ABh+aWEhs7bNgwZ2fnJ0+eKCsrd+vWbf369atXry4pKRHzHYRC4YkTJwCAx+PFxMRI2oAHDx5AjT6Fpp2ESh3OyoopLHxQXOyqq9tHWfmguflHUTtlyeX6d+vGBLj87t1zHi+lvLxEwj44hNq9dhi400W16IZwc+bMsba2joyMbLDW7t27IyMjafcD9oyiWokCd6FQuHHjRrrTeP0sLCzOnj27ZMkSwPMKtSzRcqJXr0JyMixeDABw8SLo6m765BNHLpd79uxZBoMhFArDwsJMTU39/f0rKyvd3d2TkpJ8fHzoDrioubx5A7Nndxs79tXDh5qammPHji0qKsrIyODz+YGBgbNmBZw40fB7REZm2drazp07l8Fg8Pl8BwcHDw8P0cNY/RISEtzc3Dw8PLS1tXfu3NnYjyMGISECABsu90DPnoZ1p/KP1NDYbmpqrax8q6joQXFxvoRZrwi1f7JbQr7pVVZWhoSEaGpq0p0dRo0aRff/YzAYs2bNyqy2wXJNmZmZdMf1L7744pVEG5agjiElJYWm7S5YsIBulaKurh4UFCQQCBqsu2XLFgCwtbVtgXYiVJcnT8js2fF0XNHU1HT9+vW3b98eNGgQvRcMHz78wYMHsm5jB1BYSJYvJ3JyBIAoKv7z+ec6Ojr0PuXq6vrXX3+NGOGsrp4PQD75hCQk1P4eN28SR0fCYhFj408NDQ3nzp27YMECupQkl8v19fWtqKio6/jPnj2bOXMmTYPhcrlr1qwpLi5urg/7QVBqakJpaVp5eVWNDVnrKh+amXksJ6eiVW7QjlrevHnzAGDfvn2ybojstZ/A/cKFC5aWlvQOZGFhQaf4qKqqTpo0SVlZmV6hAgICau79XllZuXPnTlVVVQBQUFD45ZdfZNJ+1GoVFxd/++239KZIzytLS8shQ4bQk61v374xMTF11X369OmoUaMAQFlZ+enTpy3ZbIRqFRER0aNHD3r20iC+a9eu4eHhsm5XB1BWRpKTSVkZMTIiTCYZNoz07EkUFQfp6w8cOPD69eu0VFUVCQ0lurqEwSDXrtXyNnw+MTQkAERHh4SEpJWXl7969SovL+/Nmzfu7u70N2tmZnbu3LmPKqalpXl5edGFa+Tk5Dw9PTMyMpr7Q1NBqakFNW6+9ZeXKNBHrR8d3Dt//nxAQACPx5Oobnl5+cCBAzFwp9pD4J6cnOzq6kqvVqampvQOlJaWJrqEGRsbDx48mH7dp0+f2NhYUd1r16717t2bfsvFxeXFixey+xyo1REKheHh4XSTVNoftn//ftEwjqOjo5GREf3a3d09Jyenet3S0lJfX196jxS/bx6hFsDn84OCglRUVFRVVb/55psW6HBF5Nw54u1NgoPJvHnk99+JrS0BIADEzCz79OmaxfPzyaFDJCODlJcTQkhGBsnMJDSITU8nhw8TX19SVPS+8KBBg3x9fenXFy9eFPVhubi4vHz5khDy9u1bHx8f2u/AZDJdXV1b+c1O0kAftXJ3796ls+G1tbUBwMjIKDQ0VMy6ERERJiYmAODm5pabm9us7WwT2nbg/u7dOx8fHxobKSsr+/r6ltOL3AeXLl0Sza8aPny4qakpk8m8desWqZYbQyP7U6dOyehDoFbqzp07ouc9Ozu76Oho+npZWZmvry/tgFdTU3N2dqZnoL6+vqgXISIiomvXrqKYPjs7W3afA6HacblcACgpKZF1QzqGGTMIvT6sXUsSEoiNDdHUJAEB5L/3rI94epJvvyWEkAULyKJFhP6uPDz+U4bH4z18+DA5OVn0Snl5+aZNm+jvl8vljho1SkVFhV6O3NzccOgPtaT09HRPT0+amqWnp7d8+XJRb+m4cRMePaqv7uPH5NNP369tZWVlFRkZ2VKtbtXaauBeVVUVGhraqVMn2n/g7u6elZVVa0nat0SzZVRVVefNm8fj8YKCgmhujKKioq+vr6SjNqh9o8M19KFOX18/JCSkqkae5fPnz8eNG0cvKJaWloMHD163bh0hJDk5eezYsfR1GxsbUbiPUGtDr4rY3d5C5s0jZWWEELJ8OXn7liQkkIKCBivNn098fMjDh2T+fLJoEfH3J5s3kylT/lMmLi7O2Nh49OjRH9VNT0+n1zErKysAcHJyqj7ajFBzq6iooCN7NDXLy8ursLCQfIjfdHV1hw8PYDKJuzup2bWVl0e8vAibTUaMWK+hoREUFFQzz7nDaquBO91rDQBGjBhx//79BsunpKSMHz+eVtHQ0KBfTJgwISUlpfkbi9oMHo+3bt06uhSaoqLiunXr6u+PjIiI6NatG+3KmjZt2sqVK2nvO73QYG4Mas0wcG9RMTHkiy/IN9+QrVvFrzR/PikpIdOnE09PsmgRefWK5OQQd/f/lLl27dqhQ4fCw8NrvVhdvXo1Pj7+xo0bjWw+QhKJiIgwNjauJw85Pz9/+fJyNpsA/GfwKSOD7N5NNDQIAGGzybJlvLy8PBl8gFasrQbuL1686NGjR2hoqFCSmSsRERHdu3efNWuWiYkJ5sagmiorK2nvlCg3tEElJSWrV6+ma+cxmUwmkzlv3jzMw0Otn6Nj8ODBOwoLy2TdkI6kTLKf9vz5hBBy9iwZNYosWkRKSwmpkSpz6NCh2bNnu7q6fjTNBiGZSEhIGD16tGilkPPnz9dT+OlTMm4cASB9+/6bFbZ8OQEgI0eS+hNpOiwGIQTaJkKIFJvf8ng8DocjEAhojjJCH7lx4waDwai5qWT9kpKSjh07pqys7ODgMGDAgGZqG0JNSE0NioqgsBBUVWXdFCQtQsiCBQsAQE1NbdKkSaLVrhCSibKyMh8fn127dmlqaq5bt27x4sU19+Wt6dQp+PNP0NWFGTNgzx4ICIAbN8DFpQXa2ya14cAdIYSQ1DBwbweEQuGOHTtUVFSKior69OlDF59FSFYiIiImTpxoZmZ2+/ZtdXV18SsuWADbt8O8eaCiAiEhzda+dqEd7pyKEEKoQXTAErtu2jQmk/ny5ctZs2atXLnyt99+k3VzEAIAMDc3lyhqp7hccHeHV6+avj3tDO7BjhBCCLVh27dvl5OTKy4ulnVDEJLS3r0QHg4nTsC8ebJuSquHgTtCCHU4mZlw5w6w2VBSAmpqsm4NahwPDw8lJaWEhARZNwQh6T15AsePg7W1rNvR6mGqDEIIdTh+fnDoEBgbw8aNsm4KajQdHR0dHR26xw1CMsTh9B88ONzAYJWsG9KeYY87Qgh1LIQAgwFCITx6BIS8/ydqo3bv3k2/OHTokEwbghDw+fo3b7rq6sq6He0aPqAjhFBHUVkJwcHg4ABCIXz/PQQEACHw2Wcwfz7k5sq6cQihDozLLbSwKFNSKpR1Q1o7DNwRQqhD+OsvsLCApUshJgbS09+v4RAfDxERsG8fWFjArl0gEMi6lQihDqmkZFtiIpfH+0nWDWntMHBHCKF27smTJx4eKydPJi9egLU1XLoEZ84AAIwdCzduwP37MHIk5OXBkiUwY4b/P//8I+v2IoTaJHV16NcPTExk3Y52DQN3hBBqt/Lz85csWWJjYxMWts3Z+cTu3XDvHnzyyX/KWFvDxYvw55/g7Bz7xx/rR48ePWHChGfPnsmoyQihtsrMDKKjYft2yMyUdVPaLwzcEUKofXrz5o2ZmdmuXbsA4Ouvv/7995GLFgG7jiUJJk2CU6esN2/erKqqeurUqV69el2/fr1Fm4sQagVSU1PPnDnz22+/SbEzgJ8f+PsDAKxfL/FxX7x4IXGdDgkDd4QQap9++uknDoczePDguLi4Xbt2aWpq1l9eXl5+1apVKSkpixcvVlBQ2LNnT8u0EyHUGvB4vMDAQEtLSzc3t1mzZhkbGwcHB1dVVYlTNycHsrP/s1xVfLy4x3327Jmbm9vRo0ednZ0/++wz6T9Ax8AguOE1Qgi1R3369Hn06NHDhw979+4tUUU+ny8vLy8nJ1dRUdFMbUMItR6EkGPHjq1atSo1NZXBYIwaNSovLy82NhYA7OzsgoODBw8eXFfdykrYswd8fWH8eOByYft2mDcPiovh9GlwcYEff4Tu3es8bmFh4YYNG3766Sc+n6+mpubr67ts2bLm+IDtCfa4I4RQ+8RgMABAit4ZqSsihNqce/fuDR8+fPr06ampqVZWVkOGDNmwYcOdO3fCw8O7du169+5de3t7Nze3169f16x75oygVy9YuhQKC+HdOxAK3y9X9fIlKCnB6dNgZQW+vlBW9vF6VUKhMCwsrGfPntu3bxcIBO7u7klJSRi1iwMDd4QQQgihDuft27fe3t4DBgyIiorS1NT85JNPnj17Fh0d/d133zEYDFdX14SEBF9fXwUFhePHj1taWvr5+ZWXl9O6ycnJLi4uW7dGJCeDmRmcOgWnT8O+fQAAY8fCkyeQnAzu7lBeDuHh983NjcPCwkR9AdeuXevXr5+Hh0d2dvbAgQOjo6PDwsI6deokq59DG0MQQgi1R3379gWA+/fvS1qxsrISANhsdjM0CiEke3w+PygoSFVVFQA4HI6zs7Ouri4AMBgMd3f3zMzM6oVTU1Pd3d3pQJyhoeGePXu8vb05HA4A6Ojo7drF4/PrPFBUFJkyZT4NOB0cHM6ePVv9rUJDQ4VCYbN/2vYFc9wRQqh9srGxefDgwf3792kELz6BQMDhcNhsNo3gEULtzMWLF52dnQFg6NChRUVFDx8+BIABAwYEBwcPGjSo1ipXrlxZunTpo0ePOBxOZWUli8WaN2/ehg0btLW16z+WUCg8ePDg2rVrs7OzlZWVS0pKuFyuj4/PihUrFBUVm/yjtXsYuCOEUPtka2t7//79e/fu2djYSFSxqqqKzWazWCwB7qSKULsjFApZLBaDwbhw4cK2bdv++eefLl26bNmyxc3NjfaF16Wqqmrt2rWBgYFaWlqXL1+WaNZ7UVHRhg0bTE1No6OjN23aZGho2OjP0UHVsaIvQgihNg4npyKE6sJgMJydnfX19f/444+VK1c22Pmdn59/7949S0tLADA1NZV0rSpVVdWtW7cCwPz586VuMwIM3BFCCCGEOiYrKysrKytxSsbGxo4ePXrgwIHN3SRUP1xVBiGE2ifscUcIoXYGA3eEEEIIIYTaAAzcEUKofbK0tNTS0lq7dm2tO6fUpaSkxN/fn8vlOjo6Nl/bEEIISQEDd4QQap8CAgLKysouXLhgZWW1YcMGHo9Xf3mhULh//34TExN/f//y8vLVq1e3TDsRQi2JZsHVv4BMXbUoSeuiJoSBO0IItU/6+vrx8fFTp04tLS1dt27djBlh4eFQV+L6jRvw2WcF8+cvzMnJGTZs2N27d+kyzwghhFoPDNwRQqjd6t69+/Hjx69evTpu3Odnznz5+ecwfDjExf2nTGoqTJ8Ow4bBX39purgc+f33369evSrp0u8IIYRaAAbuCCHUzg0fPvzUqd937+bo6kJUFAwYAIcOQUUFAMDdu2BuDr//DoqK4OsLR4+6ff755zgOjlAHUVZW9urVK3FKamlpOTk59ezZs5lbhBqAgTtCCLV/TCbMmwcpKeDrC8bGEBUF/v4AAP/7Hzg7g4sLxMeDnx8oKcm6oQihFkEI4fP5AQEBPXv29Pb2Li4urr98//79IyMjZ82a1TLNQ3XBwB0hhDoKLhf8/CA+HjgcEArh0SMgBI4fh1OnoFs3WTcOIdQimExmYGAgh8Pp1atXTExMZWXljz/+aGlpeeTIkXp2bxAKhWFhYTNmzDA0NFy5cmVLNhhVh4E7Qgh1LHJyAADffw8BAUAIcDiybhBCqAUxGAwnJ6fu3bs/e/bs0qVLgwcP7tu3b1pa2qxZswYOHHjz5s2aVS5dutS3b18PD4+3b9+amZkNHTq05ZuNKAzcEUKoIxIIYPJkePlS1u1ACLU4W1vbx48fh4SEaGtrx8TExMfHDx8+XFdX9+7duw4ODsuXLxeVfPPmzezZs52cnB4/fmxkZBQaGnrp0iUdHR0ZNr6Dw8AdIYQ6nL17oXdvcHOD/ftl3RSEkCyw2WxPT8+kpCQvLy+hUHjt2rXKysoxY8bIycmZmJgAQGlpqZ+fX8+ePQ8fPszlcn19fZOTk2fPni3rhnd0jHrymRBCCLVXXbvCmzfw+jV06SLrpiCEZCoxMXHZsmUXLlwAAEtLy59++iktLc3HxycrK4vBYEydOnXbtm1d8ErROmDgjhBCHVG3bvD6Nbx6BV27yropCKFW4Pjx4ytXrnz9+jWD8T44HDJkSFBQkJ2dnaybhv6FqTIIIdQR0bXasesGIUS5uromJiauWLFCWVlZVVX1yJEjN27cwKi9tcEed4QQ6ogmTVqbn/82LOyHbt20Zd0WhFBr8erVq+7du3fr1u0lTl1vlbDHHSGEOqJHj45GRe0jpIFdVxBCCLUeGLgjhBBCCCHUBmDgjhBCHRGDwQAAzJZECKE2hC3rBiCEEJIBurgbm413AYQQajPwko0QQh3RlStXZN0EhFCrQ0fh6IgcaoUwVQYhhBBCCKE2AAN3hBBCCCGE2gBMlUEIIYQQQuLKFwgKBAIA0OVwlFksWTenY8HAHSGEEEIIAQAIhUIAKCwsDAwMpK+oGxkpfPKJqIAllxtTWKjF4Sgxmf1VVTFwb2G4cypCCCGEEII7d+4sXrz46dOnxcX/bs02eNQo/qZNon/O6tSJAaDBZiuwWJO0tOSYmHTdorDHHSGEEEKoQ0tNTV21atWxY8cIIfLy8gDQr18/JycnANA2Npbv3FlU0kZZOa642E5VVZXFYuPiMy0Oe9wRQgghhDqocqEwLCsr+vbtsClTFBUVV65cOXHixIEDBwLA/fv3e/XqVbNKcFraF507q+EuELKAgTtCCCGEUIdDACLz84PT07P5fA6DYXvihM+CBXRrtkWLFv3888+fzZx54tdfZd1M9B8YuCOEEEIIdRSiNWFO5ub+npMDAOZKSiuMjPoqK4vKvH371js8PGPIkPXduw9VU5NZW1ENGLgjhBBCCHUUwWlpdE2YzvLy/q9efdG58+c6Oswa2eq/5eTsSE01lJcPt7KSw1z2VgPnAiOEEEIIdSBCQgQA/ZWVz1hbT9fVrRm1A8DnOjomioppFRXhOTkt30JUFwzcEUIIIYQ6EDtVVXtVVTaDUc+yMCwGw9vQEABiCgtbsGmoATgjGCGEEEKoA9GXkxNnTZghqqo/9uhhpqSUUl4OuE9q64A57gghhBBCqHainPj+qqpd5OVl3ZyODlNlEEIIIYRQnWhOfGcOR9YNQZgqgxBCCCGE6ob7pLYeGLgjhBBCCKE6iZkTj1oA5rgjhBBCCCHUBmCOO0IIIYQQQm0ABu4IIYQQQgi1AZixVKc3b96cOnWqrKxs7NixvXr1oi+WlZVduHDh2bNnw4YNGzRokGxbiNoiPK9Qc8jPz//rr79SU1OnTJlibW1NX8TzCjUSnleo+Rw4cMDe3t7c3Jz+MysrKzw8nMfjjRo1ysbGRrZta9UIqk1aWlrnzp11dHQmTJigoKCwb98++vqoUaNMTEw+//xzJSWl0NBQ2TYStTl4XqHmUFJS0qtXLwsLi2nTpqmqqs6ePZu+jucVagw8r1Azqaio+PvvvxkMxsmTJ+krJSUlnTp16tq165gxYzgcTkREhGxb2Jph4F67kJAQKyur0tJSQsjq1av79+9PCPn7778VFRWzs7MJIVu2bLGxsZFxK1Fbg+cVag4XLlxQU1MrKioihERERLDZ7OzsbDyvUCPheYWaiYGBAe07FgXuR44c0dPTEwgEhJDvvvuuZ8+eMm1gq4Y57rXr16/f3r17lZSUKioqrl+/3rVrVwB48OCBg4ODrq4uAAwaNOjJkycVFRWybilqS/C8Qs2BxWKtXbtWRUUFAOTk5BgMhlAoxPMKNRKeV6iZJCYmFhQUcLlc0Su3bt3q378/i8UCAGtr6+fPn5eXl8uuga0aBu6169evn4ODw9atW1VUVGJiYubOnQsAycnJ+vr6tICpqWllZWViYqJMm4naGDyvUHMYOXLkypUrAeDmzZsLFy787LPPOnfujOcVaiQ8r1AzUVFRUVNTYzL/DUHHjx8fFRX1+PHjwsLCQ4cOVVVVpaeny7CFrRkG7vVZsGBBZGTkhAkTpk+fXllZqaamVlpaWr2Ajo6OrNqG2i48r1CT4/P58+fPHzFihJub26FDhwAAzyvUeHheoZYxcuTI6dOnOzg4aGlpZWRkMJnMLl26yLpRrRQG7rXz9fX95ZdfVFRUhg8fvm7duoKCguTkZDs7uxcvXtACKSkpWlpaojwthMSB5xVqDjweb+LEiY8fP3748GFAQIC8vDwA4HmFGgnPK9Ri8vLyVq9enZmZmZqa+v3335ubm3M4HFk3qpXC5SBrp6uru23bNhsbGwsLi8OHD5ubm1taWjIYjAcPHly6dMnCwmLDhg2DBw+WdTNRG4PnFWoO4eHhUVFRUVFRcnJyKSkpAGBgYDBgwAA8r1Bj4HmFWszVq1e/+uqr58+fA8DWrVsnT54s6xa1YrKeHdtK5ebm9unTBwDk5eUHDBhw7tw5+vqaNWuYTCaLxTI2Nk5LS5NtI1Gbg+cVag7z5s376MIeGxtL8LxCjYPnFWpWqqqqf/75J/26oqJi9OjRnTp1UlRUdHJyqqiokGnTWjUGIaRlnhDaHKFQmJKSIi8vb2RkVP31d+/eZWdni7YMQEgieF6hloTnFWoOeF6h5pCTk8Pn8w0NDWXdkFYNA3eEEEIIIYTaAJycihBCCCGEUBuAgTtCCCGEEEJtAAbuCCGEEEIItQEYuCOEEEIIIdQGYOCOEEIIIYRQG/B/SeuyIQIN31cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1000x200 at 0x104FABBE0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smiles_df.sort_values(\"mcs\",inplace=True,ascending=False)\n",
    "top5_mcs_df = smiles_df.head()\n",
    "MolsToGridImage(top5_mcs_df.Mol.to_list()[0:5],molsPerRow=5,legends=[\"%d\" % x for x in top5_mcs_df.mcs])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While the two most similar molecules are the same as those we identified using the similarity search we can see that the MCS search uncovers a few different molecules. Let's learn a bit more about the drug that is most similar to Compound 1. We can start by getting its ChEMBL identifier."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'CHEMBL1171837'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top5_mcs_df.ChEMBL_ID.to_list()[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can use the ChEMBL API to get the names associated with this molecule. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>molecule_synonym</th>\n",
       "      <th>syn_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AP-24534</td>\n",
       "      <td>RESEARCH_CODE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Iclusig</td>\n",
       "      <td>TRADE_NAME</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ponatinib</td>\n",
       "      <td>ATC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ponatinib</td>\n",
       "      <td>BNF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ponatinib</td>\n",
       "      <td>INN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Ponatinib</td>\n",
       "      <td>USAN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  molecule_synonym       syn_type\n",
       "0         AP-24534  RESEARCH_CODE\n",
       "1          Iclusig     TRADE_NAME\n",
       "2        Ponatinib            ATC\n",
       "3        Ponatinib            BNF\n",
       "4        Ponatinib            INN\n",
       "5        Ponatinib           USAN"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "molecule = new_client.molecule\n",
    "m1 = molecule.get('CHEMBL1171837')\n",
    "pd.DataFrame([(x['molecule_synonym'],x['syn_type']) for x in m1['molecule_synonyms']],columns=['molecule_synonym','syn_type'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This molecule is [Pontatinib](https://en.wikipedia.org/wiki/Ponatinib).  A quick Google search shows us that this is a marketed drug originally developed as an inhibitor of BCR-ABL. Ponatinib is also a promiscuous inhibitor of a number of [other kinases](https://www.dovepress.com/ponatinib-a-novel-multi-tyrosine-kinase-inhibitor-against-human-malign-peer-reviewed-fulltext-article-OTT) including [DDR1](https://www.sciencedirect.com/science/article/pii/S0022283614001983).  In fact, extensive SAR around the activity of Ponatinib analogs against DDR1 was reported in a [2013 paper in J.Med.Chem](https://pubs.acs.org/doi/10.1021/jm301824k).  \n",
    "\n",
    "Let's generate a side-by-side visualization of Compound 1 and Ponatinib with the MCS highlighted. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1200x400 at 0x11CE14C50>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ponatinib_mol = top5_mcs_df.Mol.to_list()[0]\n",
    "compound_1_mcs = rdFMCS.FindMCS([compound_1_mol,ponatinib_mol])\n",
    "mcs_query = Chem.MolFromSmarts(compound_1_mcs.smartsString)\n",
    "AllChem.Compute2DCoords(mcs_query)\n",
    "for m in [compound_1_mol,ponatinib_mol]: AllChem.GenerateDepictionMatching2DStructure(m,mcs_query)\n",
    "compound_1_match = compound_1_mol.GetSubstructMatch(mcs_query)\n",
    "ponatinib_match = ponatinib_mol.GetSubstructMatch(mcs_query)\n",
    "MolsToGridImage([compound_1_mol,ponatinib_mol],highlightAtomLists=[compound_1_match,ponatinib_match],subImgSize=(400, 400))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Given the similarity of Compound 1 to a marketed drug with 9nM biochemical activity against DDR1 and good pharmacokinetics (PK), the activity and PK profiles of Compound 1 are not particularly surprising. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
    },
    "source": []
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}