1_Reading and Writing Smiles using rdKit.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial -1 \n",
    "\n",
    "# File Handling using rdKit\n",
    "\n",
    "# Reading and Writing Smiles using rdKit\n",
    "\n",
    "This is a short overview of reading, creating smiles from different file types and writing molecules to various file formats. It is intended to be a complement to, not replacement for, the contents of the [main RDKit documentation](http://rdkit.org/docs/index.html)\n",
    "\n",
    "Credits to @iwatobipen [https://github.com/iwatobipen];  @rdkit [https://github.com/rdkit]\n",
    "\n",
    "@TAGS: #basics #molecule_input #rdKitTutorials #Smiles #CADD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from rdkit import Chem\n",
    "from rdkit import DataStructs\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "from rdkit.Chem import Draw\n",
    "from rdkit.Chem import AllChem\n",
    "from rdkit.six import StringIO\n",
    "# uncomment this if you try the tutorial and end up with low-quality images\n",
    "# IPythonConsole.ipython_useSVG=True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Working with SMILES"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reading a SMILES string using MolFromSmiles:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x2046601a5d0>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mol1 = Chem.MolFromSmiles('COc1ccc2c(c1)[nH]c(n2)[S@@](=O)Cc1ncc(c(c1C)OC)C')\n",
    "mol1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "     RDKit          2D\n",
      "\n",
      " 24 26  0  0  0  0  0  0  0  0999 V2000\n",
      "    3.7500   -1.2990    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "    3.0000    0.0000    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "    1.5000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "    0.7500   -1.2990    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -0.7500   -1.2990    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -1.5000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -0.7500    1.2990    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "    0.7500    1.2990    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -1.7537    2.4138    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -3.1240    1.8037    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -2.9672    0.3119    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -4.4231    2.5537    0.0000 S   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -5.7221    1.8037    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -4.4231    4.0537    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -5.7221    4.8037    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -5.7221    6.3037    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -7.0211    7.0537    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -8.3202    6.3037    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -8.3202    4.8037    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -7.0211    4.0537    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -7.0211    2.5537    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -9.6192    4.0537    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -9.6192    2.5537    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -9.6192    7.0537    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  2  0\n",
      "  4  5  1  0\n",
      "  5  6  2  0\n",
      "  6  7  1  0\n",
      "  7  8  2  0\n",
      "  7  9  1  0\n",
      "  9 10  1  0\n",
      " 10 11  2  0\n",
      " 10 12  1  0\n",
      " 12 13  2  0\n",
      " 12 14  1  1\n",
      " 14 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",
      " 19 22  1  0\n",
      " 22 23  1  0\n",
      " 18 24  1  0\n",
      "  8  3  1  0\n",
      " 20 15  1  0\n",
      " 11  6  1  0\n",
      "M  END\n",
      "\n"
     ]
    }
   ],
   "source": [
    "m2 = Chem.MolFromSmiles('COc1ccc2c(c1)[nH]c(n2)[S@@](=O)Cc1ncc(c(c1C)OC)C')\n",
    "print(Chem.MolToMolBlock(m2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adjusting Hydrogens and removing them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24 43 24\n"
     ]
    }
   ],
   "source": [
    "mol_exampleH = Chem.AddHs(m2)\n",
    "mol_examplenoH = Chem.RemoveHs(mol_exampleH)\n",
    "print(m2.GetNumAtoms(),mol_exampleH.GetNumAtoms(), mol_examplenoH.GetNumAtoms())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x1ffbde62ad0>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mol_exampleH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "print((Chem.MolToMolBlock(mol_examplenoH)),file=open('foo.mol','w+'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Writing molecules in SD and SMI formats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "w1 = Chem.SDWriter('./data/data_set.sdf')\n",
    "w1.write(mol_exampleH)\n",
    "w1.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<rdkit.Chem.rdmolfiles.SmilesMolSupplier object at 0x000001FFC02480D8>\n"
     ]
    }
   ],
   "source": [
    "w2 = Chem.SmilesWriter('./data/data_set.smi')\n",
    "w2.write(mol_exampleH)\n",
    "w2.close()\n",
    "s1 = Chem.SmilesMolSupplier('./data/data_set.smi')\n",
    "print(s1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "mol1 = Chem.MolFromSmiles(\"Cc1ccccc1\")\n",
    "mol2 = Chem.MolFromSmiles(\"Clc1ccccc1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=600x200 at 0x1FFBDF33940>"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Draw.MolsToGridImage([mol1, mol2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "fp1 = AllChem.GetMorganFingerprint(mol1, 2)\n",
    "fp2 = AllChem.GetMorganFingerprint(mol2, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2222222222222222"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DataStructs.TanimotoSimilarity(fp1, fp2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading Smiles Files from CSV/txt format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Source file from \"https://github.com/iwatobipen/substrate-scope-plot/tree/master/data\"\n",
    "import pandas as pd\n",
    "import numpy\n",
    "df = pd.read_csv('./data/mps.csv', sep=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "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 ChEMBL ID</th>\n",
       "      <th>Molecule Name</th>\n",
       "      <th>Molecule Max Phase</th>\n",
       "      <th>Molecular Weight</th>\n",
       "      <th>#RO5 Violations</th>\n",
       "      <th>AlogP</th>\n",
       "      <th>Compound Key</th>\n",
       "      <th>Smiles</th>\n",
       "      <th>Standard Type</th>\n",
       "      <th>Standard Relation</th>\n",
       "      <th>...</th>\n",
       "      <th>Target ChEMBL ID</th>\n",
       "      <th>Target Name</th>\n",
       "      <th>Target Organism</th>\n",
       "      <th>Target Type</th>\n",
       "      <th>Document ChEMBL ID</th>\n",
       "      <th>Source ID</th>\n",
       "      <th>Source Description</th>\n",
       "      <th>Document Journal</th>\n",
       "      <th>Document Year</th>\n",
       "      <th>Cell ChEMBL ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CHEMBL3092035</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>412.49</td>\n",
       "      <td>0</td>\n",
       "      <td>4.89</td>\n",
       "      <td>28</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCOCC5</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL394</td>\n",
       "      <td>HCT-116</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>CELL-LINE</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>CHEMBL3308372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CHEMBL3092030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>484.63</td>\n",
       "      <td>0</td>\n",
       "      <td>3.77</td>\n",
       "      <td>17</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3ccn(C4CCCCC4)c3n2)N5CCN(CC5)...</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL394</td>\n",
       "      <td>HCT-116</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>CELL-LINE</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>CHEMBL3308372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CHEMBL3092038</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>490.59</td>\n",
       "      <td>0</td>\n",
       "      <td>3.53</td>\n",
       "      <td>31</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3cccc(c4cccnc4)c3n2)N5CCN(CC5...</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL3983</td>\n",
       "      <td>Dual specificity protein kinase TTK</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>SINGLE PROTEIN</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CHEMBL3092037</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>489.60</td>\n",
       "      <td>0</td>\n",
       "      <td>4.13</td>\n",
       "      <td>30</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCN(CC5...</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL3983</td>\n",
       "      <td>Dual specificity protein kinase TTK</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>SINGLE PROTEIN</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CHEMBL3092033</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>479.57</td>\n",
       "      <td>0</td>\n",
       "      <td>2.65</td>\n",
       "      <td>20</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3ccn(c4cccnc4)c3n2)N5CCN(CC5)...</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'&gt;'</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL3983</td>\n",
       "      <td>Dual specificity protein kinase TTK</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>SINGLE PROTEIN</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Molecule ChEMBL ID  Molecule Name  Molecule Max Phase  Molecular Weight  \\\n",
       "0      CHEMBL3092035            NaN                   0            412.49   \n",
       "1      CHEMBL3092030            NaN                   0            484.63   \n",
       "2      CHEMBL3092038            NaN                   0            490.59   \n",
       "3      CHEMBL3092037            NaN                   0            489.60   \n",
       "4      CHEMBL3092033            NaN                   0            479.57   \n",
       "\n",
       "   #RO5 Violations  AlogP Compound Key  \\\n",
       "0                0   4.89           28   \n",
       "1                0   3.77           17   \n",
       "2                0   3.53           31   \n",
       "3                0   4.13           30   \n",
       "4                0   2.65           20   \n",
       "\n",
       "                                              Smiles Standard Type  \\\n",
       "0      COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCOCC5          IC50   \n",
       "1  COc1cc(ccc1Nc2ncc3ccn(C4CCCCC4)c3n2)N5CCN(CC5)...          IC50   \n",
       "2  COc1cc(ccc1Nc2ncc3cccc(c4cccnc4)c3n2)N5CCN(CC5...          IC50   \n",
       "3  COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCN(CC5...          IC50   \n",
       "4  COc1cc(ccc1Nc2ncc3ccn(c4cccnc4)c3n2)N5CCN(CC5)...          IC50   \n",
       "\n",
       "  Standard Relation  ...  Target ChEMBL ID  \\\n",
       "0               '='  ...         CHEMBL394   \n",
       "1               '='  ...         CHEMBL394   \n",
       "2               '='  ...        CHEMBL3983   \n",
       "3               '='  ...        CHEMBL3983   \n",
       "4               '>'  ...        CHEMBL3983   \n",
       "\n",
       "                           Target Name  Target Organism     Target Type  \\\n",
       "0                              HCT-116     Homo sapiens       CELL-LINE   \n",
       "1                              HCT-116     Homo sapiens       CELL-LINE   \n",
       "2  Dual specificity protein kinase TTK     Homo sapiens  SINGLE PROTEIN   \n",
       "3  Dual specificity protein kinase TTK     Homo sapiens  SINGLE PROTEIN   \n",
       "4  Dual specificity protein kinase TTK     Homo sapiens  SINGLE PROTEIN   \n",
       "\n",
       "   Document ChEMBL ID Source ID     Source Description  \\\n",
       "0       CHEMBL3091390         1  Scientific Literature   \n",
       "1       CHEMBL3091390         1  Scientific Literature   \n",
       "2       CHEMBL3091390         1  Scientific Literature   \n",
       "3       CHEMBL3091390         1  Scientific Literature   \n",
       "4       CHEMBL3091390         1  Scientific Literature   \n",
       "\n",
       "           Document Journal  Document Year  Cell ChEMBL ID  \n",
       "0  Bioorg. Med. Chem. Lett.           2013   CHEMBL3308372  \n",
       "1  Bioorg. Med. Chem. Lett.           2013   CHEMBL3308372  \n",
       "2  Bioorg. Med. Chem. Lett.           2013             NaN  \n",
       "3  Bioorg. Med. Chem. Lett.           2013             NaN  \n",
       "4  Bioorg. Med. Chem. Lett.           2013             NaN  \n",
       "\n",
       "[5 rows x 41 columns]"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Molecule ChEMBL ID', 'Molecule Name', 'Molecule Max Phase',\n",
       "       'Molecular Weight', '#RO5 Violations', 'AlogP', 'Compound Key',\n",
       "       'Smiles', 'Standard Type', 'Standard Relation', 'Standard Value',\n",
       "       'Standard Units', 'pChEMBL Value', 'Data Validity Comment', 'Comment',\n",
       "       'Uo Units', 'Ligand Efficiency BEI', 'Ligand Efficiency LE',\n",
       "       'Ligand Efficiency LLE', 'Ligand Efficiency SEI', 'Potential Duplicate',\n",
       "       'Assay ChEMBL ID', 'Assay Description', 'Assay Type', 'BAO Format ID',\n",
       "       'BAO Label', 'Assay Organism', 'Assay Tissue ChEMBL ID',\n",
       "       'Assay Tissue Name', 'Assay Cell Type', 'Assay Subcellular Fraction',\n",
       "       'Target ChEMBL ID', 'Target Name', 'Target Organism', 'Target Type',\n",
       "       'Document ChEMBL ID', 'Source ID', 'Source Description',\n",
       "       'Document Journal', 'Document Year', 'Cell ChEMBL ID'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "mols = [Chem.MolFromSmiles(smi) for smi in df.Smiles]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1000x1400 at 0x1FFBDF33128>"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Draw.MolsToGridImage(mols, molsPerRow=5, legends=[str(i) for i in range(len(mols))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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 ChEMBL ID</th>\n",
       "      <th>Molecule Name</th>\n",
       "      <th>Molecule Max Phase</th>\n",
       "      <th>Molecular Weight</th>\n",
       "      <th>#RO5 Violations</th>\n",
       "      <th>AlogP</th>\n",
       "      <th>Compound Key</th>\n",
       "      <th>Smiles</th>\n",
       "      <th>Standard Type</th>\n",
       "      <th>Standard Relation</th>\n",
       "      <th>...</th>\n",
       "      <th>Target ChEMBL ID</th>\n",
       "      <th>Target Name</th>\n",
       "      <th>Target Organism</th>\n",
       "      <th>Target Type</th>\n",
       "      <th>Document ChEMBL ID</th>\n",
       "      <th>Source ID</th>\n",
       "      <th>Source Description</th>\n",
       "      <th>Document Journal</th>\n",
       "      <th>Document Year</th>\n",
       "      <th>Cell ChEMBL ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CHEMBL3092035</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>412.49</td>\n",
       "      <td>0</td>\n",
       "      <td>4.89</td>\n",
       "      <td>28</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCOCC5</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL394</td>\n",
       "      <td>HCT-116</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>CELL-LINE</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>CHEMBL3308372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CHEMBL3092030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>484.63</td>\n",
       "      <td>0</td>\n",
       "      <td>3.77</td>\n",
       "      <td>17</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3ccn(C4CCCCC4)c3n2)N5CCN(CC5)...</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL394</td>\n",
       "      <td>HCT-116</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>CELL-LINE</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>CHEMBL3308372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CHEMBL3092038</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>490.59</td>\n",
       "      <td>0</td>\n",
       "      <td>3.53</td>\n",
       "      <td>31</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3cccc(c4cccnc4)c3n2)N5CCN(CC5...</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL3983</td>\n",
       "      <td>Dual specificity protein kinase TTK</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>SINGLE PROTEIN</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CHEMBL3092037</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>489.60</td>\n",
       "      <td>0</td>\n",
       "      <td>4.13</td>\n",
       "      <td>30</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCN(CC5...</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL3983</td>\n",
       "      <td>Dual specificity protein kinase TTK</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>SINGLE PROTEIN</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CHEMBL3092033</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>479.57</td>\n",
       "      <td>0</td>\n",
       "      <td>2.65</td>\n",
       "      <td>20</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3ccn(c4cccnc4)c3n2)N5CCN(CC5)...</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'&gt;'</td>\n",
       "      <td>...</td>\n",
       "      <td>CHEMBL3983</td>\n",
       "      <td>Dual specificity protein kinase TTK</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>SINGLE PROTEIN</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Molecule ChEMBL ID  Molecule Name  Molecule Max Phase  Molecular Weight  \\\n",
       "0      CHEMBL3092035            NaN                   0            412.49   \n",
       "1      CHEMBL3092030            NaN                   0            484.63   \n",
       "2      CHEMBL3092038            NaN                   0            490.59   \n",
       "3      CHEMBL3092037            NaN                   0            489.60   \n",
       "4      CHEMBL3092033            NaN                   0            479.57   \n",
       "\n",
       "   #RO5 Violations  AlogP Compound Key  \\\n",
       "0                0   4.89           28   \n",
       "1                0   3.77           17   \n",
       "2                0   3.53           31   \n",
       "3                0   4.13           30   \n",
       "4                0   2.65           20   \n",
       "\n",
       "                                              Smiles Standard Type  \\\n",
       "0      COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCOCC5          IC50   \n",
       "1  COc1cc(ccc1Nc2ncc3ccn(C4CCCCC4)c3n2)N5CCN(CC5)...          IC50   \n",
       "2  COc1cc(ccc1Nc2ncc3cccc(c4cccnc4)c3n2)N5CCN(CC5...          IC50   \n",
       "3  COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCN(CC5...          IC50   \n",
       "4  COc1cc(ccc1Nc2ncc3ccn(c4cccnc4)c3n2)N5CCN(CC5)...          IC50   \n",
       "\n",
       "  Standard Relation  ...  Target ChEMBL ID  \\\n",
       "0               '='  ...         CHEMBL394   \n",
       "1               '='  ...         CHEMBL394   \n",
       "2               '='  ...        CHEMBL3983   \n",
       "3               '='  ...        CHEMBL3983   \n",
       "4               '>'  ...        CHEMBL3983   \n",
       "\n",
       "                           Target Name  Target Organism     Target Type  \\\n",
       "0                              HCT-116     Homo sapiens       CELL-LINE   \n",
       "1                              HCT-116     Homo sapiens       CELL-LINE   \n",
       "2  Dual specificity protein kinase TTK     Homo sapiens  SINGLE PROTEIN   \n",
       "3  Dual specificity protein kinase TTK     Homo sapiens  SINGLE PROTEIN   \n",
       "4  Dual specificity protein kinase TTK     Homo sapiens  SINGLE PROTEIN   \n",
       "\n",
       "   Document ChEMBL ID Source ID     Source Description  \\\n",
       "0       CHEMBL3091390         1  Scientific Literature   \n",
       "1       CHEMBL3091390         1  Scientific Literature   \n",
       "2       CHEMBL3091390         1  Scientific Literature   \n",
       "3       CHEMBL3091390         1  Scientific Literature   \n",
       "4       CHEMBL3091390         1  Scientific Literature   \n",
       "\n",
       "           Document Journal  Document Year  Cell ChEMBL ID  \n",
       "0  Bioorg. Med. Chem. Lett.           2013   CHEMBL3308372  \n",
       "1  Bioorg. Med. Chem. Lett.           2013   CHEMBL3308372  \n",
       "2  Bioorg. Med. Chem. Lett.           2013             NaN  \n",
       "3  Bioorg. Med. Chem. Lett.           2013             NaN  \n",
       "4  Bioorg. Med. Chem. Lett.           2013             NaN  \n",
       "\n",
       "[5 rows x 41 columns]"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "from rdkit.Chem import PandasTools\n",
    "PandasTools.AddMoleculeColumnToFrame(df, 'Smiles', 'Molecule', includeFingerprints=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Molecule ChEMBL ID</th>\n",
       "      <th>Molecule Name</th>\n",
       "      <th>Molecule Max Phase</th>\n",
       "      <th>Molecular Weight</th>\n",
       "      <th>#RO5 Violations</th>\n",
       "      <th>AlogP</th>\n",
       "      <th>Compound Key</th>\n",
       "      <th>Smiles</th>\n",
       "      <th>Standard Type</th>\n",
       "      <th>Standard Relation</th>\n",
       "      <th>...</th>\n",
       "      <th>Target Name</th>\n",
       "      <th>Target Organism</th>\n",
       "      <th>Target Type</th>\n",
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       "      <th>Source Description</th>\n",
       "      <th>Document Journal</th>\n",
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       "      <th>Cell ChEMBL ID</th>\n",
       "      <th>Molecule</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CHEMBL3092035</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>4.89</td>\n",
       "      <td>28</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCOCC5</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>HCT-116</td>\n",
       "      <td>Homo sapiens</td>\n",
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       "      <td>CHEMBL3308372</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>CHEMBL3092030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>484.63</td>\n",
       "      <td>0</td>\n",
       "      <td>3.77</td>\n",
       "      <td>17</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3ccn(C4CCCCC4)c3n2)N5CCN(CC5)S(=O)(=O)C</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>HCT-116</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>CELL-LINE</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>CHEMBL3308372</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CHEMBL3092038</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>490.59</td>\n",
       "      <td>0</td>\n",
       "      <td>3.53</td>\n",
       "      <td>31</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3cccc(c4cccnc4)c3n2)N5CCN(CC5)S(=O)(=O)C</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>Dual specificity protein kinase TTK</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>SINGLE PROTEIN</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</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>CHEMBL3092037</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>489.60</td>\n",
       "      <td>0</td>\n",
       "      <td>4.13</td>\n",
       "      <td>30</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCN(CC5)S(=O)(=O)C</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'='</td>\n",
       "      <td>...</td>\n",
       "      <td>Dual specificity protein kinase TTK</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>SINGLE PROTEIN</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</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>CHEMBL3092033</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>479.57</td>\n",
       "      <td>0</td>\n",
       "      <td>2.65</td>\n",
       "      <td>20</td>\n",
       "      <td>COc1cc(ccc1Nc2ncc3ccn(c4cccnc4)c3n2)N5CCN(CC5)S(=O)(=O)C</td>\n",
       "      <td>IC50</td>\n",
       "      <td>'>'</td>\n",
       "      <td>...</td>\n",
       "      <td>Dual specificity protein kinase TTK</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>SINGLE PROTEIN</td>\n",
       "      <td>CHEMBL3091390</td>\n",
       "      <td>1</td>\n",
       "      <td>Scientific Literature</td>\n",
       "      <td>Bioorg. Med. Chem. Lett.</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Molecule ChEMBL ID  Molecule Name  Molecule Max Phase  Molecular Weight  \\\n",
       "0      CHEMBL3092035            NaN                   0            412.49   \n",
       "1      CHEMBL3092030            NaN                   0            484.63   \n",
       "2      CHEMBL3092038            NaN                   0            490.59   \n",
       "3      CHEMBL3092037            NaN                   0            489.60   \n",
       "4      CHEMBL3092033            NaN                   0            479.57   \n",
       "\n",
       "   #RO5 Violations  AlogP Compound Key  \\\n",
       "0                0   4.89           28   \n",
       "1                0   3.77           17   \n",
       "2                0   3.53           31   \n",
       "3                0   4.13           30   \n",
       "4                0   2.65           20   \n",
       "\n",
       "                                              Smiles Standard Type  \\\n",
       "0      COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCOCC5          IC50   \n",
       "1  COc1cc(ccc1Nc2ncc3ccn(C4CCCCC4)c3n2)N5CCN(CC5)...          IC50   \n",
       "2  COc1cc(ccc1Nc2ncc3cccc(c4cccnc4)c3n2)N5CCN(CC5...          IC50   \n",
       "3  COc1cc(ccc1Nc2ncc3cccc(c4ccccc4)c3n2)N5CCN(CC5...          IC50   \n",
       "4  COc1cc(ccc1Nc2ncc3ccn(c4cccnc4)c3n2)N5CCN(CC5)...          IC50   \n",
       "\n",
       "  Standard Relation  ...                          Target Name Target Organism  \\\n",
       "0               '='  ...                              HCT-116    Homo sapiens   \n",
       "1               '='  ...                              HCT-116    Homo sapiens   \n",
       "2               '='  ...  Dual specificity protein kinase TTK    Homo sapiens   \n",
       "3               '='  ...  Dual specificity protein kinase TTK    Homo sapiens   \n",
       "4               '>'  ...  Dual specificity protein kinase TTK    Homo sapiens   \n",
       "\n",
       "      Target Type  Document ChEMBL ID  Source ID     Source Description  \\\n",
       "0       CELL-LINE       CHEMBL3091390          1  Scientific Literature   \n",
       "1       CELL-LINE       CHEMBL3091390          1  Scientific Literature   \n",
       "2  SINGLE PROTEIN       CHEMBL3091390          1  Scientific Literature   \n",
       "3  SINGLE PROTEIN       CHEMBL3091390          1  Scientific Literature   \n",
       "4  SINGLE PROTEIN       CHEMBL3091390          1  Scientific Literature   \n",
       "\n",
       "           Document Journal  Document Year  Cell ChEMBL ID  \\\n",
       "0  Bioorg. Med. Chem. Lett.           2013   CHEMBL3308372   \n",
       "1  Bioorg. Med. Chem. Lett.           2013   CHEMBL3308372   \n",
       "2  Bioorg. Med. Chem. Lett.           2013             NaN   \n",
       "3  Bioorg. Med. Chem. Lett.           2013             NaN   \n",
       "4  Bioorg. Med. Chem. Lett.           2013             NaN   \n",
       "\n",
       "                                            Molecule  \n",
       "0  <img src=\"data:image/png;base64,iVBORw0KGgoAAA...  \n",
       "1  <img src=\"data:image/png;base64,iVBORw0KGgoAAA...  \n",
       "2  <img src=\"data:image/png;base64,iVBORw0KGgoAAA...  \n",
       "3  <img src=\"data:image/png;base64,iVBORw0KGgoAAA...  \n",
       "4  <img src=\"data:image/png;base64,iVBORw0KGgoAAA...  \n",
       "\n",
       "[5 rows x 42 columns]"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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