{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This example shows how ring substitutions are handled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from rdkit import Chem\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "IPythonConsole.ipython_useSVG=True\n",
    "from rdkit.Chem import rdRGroupDecomposition\n",
    "from IPython.display import HTML\n",
    "from rdkit import rdBase\n",
    "rdBase.DisableLog(\"rdApp.debug\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from rdkit.Chem import PandasTools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "core = Chem.MolFromSmarts(\"*1CCCC1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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     "execution_count": 4,
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    }
   ],
   "source": [
    "core"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "smiles = [\"C1CCCC1-C2CCC2Cl\", \"N1CCCC1-C2CCC2Cl\", \"O1CCCC1-C2CCC2Cl\", \"N1OCCC1-C2CCC2Cl\", \"N1OCSC1-C2CCC2Cl\"]\n",
    "\n",
    "mols = [Chem.MolFromSmiles(smi) for smi in smiles]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from rdkit.Chem import Draw\n",
    "Draw.MolsToGridImage(mols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 1, 2, 3, 4)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "core.GetSubstructMatch(core)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make RGroup decomposition!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "rgroups = rdRGroupDecomposition.RGroupDecomposition(core)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i,m in enumerate(mols):\n",
    "    rgroups.Add(m)\n",
    "    if i == 10:\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to call process after all molecules are added to optimize the RGroups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rgroups.Process()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "groups = rgroups.GetRGroupsAsColumns()\n",
    "frame = pd.DataFrame(groups)\n",
    "PandasTools.ChangeMoleculeRendering(frame)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I would have preferred new cores to appear and the [*:2]-N-[*:2] depiction is a bit annoying...  Perhaps for round 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Core</th>\n",
       "      <th>R1</th>\n",
       "      <th>R2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAQI0lEQVR4nO3dfUxT1/8H8MNTeVALCgJXoYC4OYQIOHHDGcAoEzfQYBxm4cEt0S3BzTlHpjh1PsSARk2cmBlGNhEHDnQggSEymJtVESdsgKJiZQJSKqDCeBB6237/uL/02x8PLfDt6a34fv3X67mnn+rb03tP7z3XRKVSEQB9M+W7AJiYECygAsECKhAsoALBAioQLKACwQIqECygAsECKhAsoALBAioQLKACwQIqECygAsECKhAsoALBAioQLKACwQIqECygAsECKhAsoALBAioQLKACwQIqECygAsECKhAsoALBAioQLKACwQIqECygAsECKhAsoALBAioQLKACwQIqECygAsECKhAsoALBAioQLKACwQIqECygAsECKhAsoALBMlIv+uP+ECyjU1RUlJmZ6eLisnXrVr5rGT9zvguA/0cqlcbGxj558kSlUjU2NvJdzviZ7d69m+8a4L8mTZpkZWVlYWGRlZUVEhLi5OSk+adXrlypqqpyc3OzsLDgq8JRMnnRv8snJJVKZWJiMnR7ZGRkXl7e8ePH4+PjDV/VmOCr0BgNmypCyJIlS6RSaWRk5KDtcrnc2MYwjFgvPIVC4e7uPm/evDNnzkyZMoXvcv4PRiyj8OzZMzs7u/HtW1NTI5VKra2tjSdVBNMNxiAtLc3Ly+vXX38d3+5+fn6tra2ZmZmDtkskkqNHj/J1aolg8e/8+fOtra1tbW3j7sHBwWHBggWDNmZmZm7evHnv3r3/W3XjhK9C/p0/f76wsDAiIkK/3QYGBkZFRa1du3bQ9u7u7smTJ+v3vYbCwftLZ/ny5U1NTT/++KO/vz+9d0GwXi4DAwPu7u7t7e2tra3Tpk2j90Y4xnq5CASCpqam8vLyQakaGBhISEi4fPmy3t5JBQanUCgSExOlUinfhfxXQUEBIcTf319fHeLgnQdHjhxJSkoqLCz866+/RppkN7A5c+Zs3bp11qxZg7Z3dnZaW1sLBIIx96ivhMLoSaXS5cuXX7x4ke9CdNu2bZutrW16evpYd8SIxQNnZ+cLFy7wXcWo1NfXd3Z2ikSise6Is0LQ4cGDB25ubmZmZpobExMT586du2bNGmtr62H3QrBgzFpbW2fOnGlhYXHnzh13d/dh22C6wUAeP36sVCr5rkI/bGxskpKS+vv733jjjZHaYMQyhP7+/sDAQDs7u6ysrEEXhb6g2tvbvb29p0+fXltbO2wDHLwbgkQikUql3d3dNjY2fNeiHw4ODjKZTEsDjFgG8vjx4/b29rlz5/JdiIEgWEAFDt6BCgQLqECwaLl+/fqePXsUCgXfhVChVCplMll7e/tIDXBWSIVcLo+Jibl//769vf0nn3zCdzn619bW5uzs7OjoONK5IUYsKiwsLFJTU1euXPnRRx/xXQsVZmZmjo6O06dPH6kBzgqBCoxYQAWCBVQgWPokkUj4LsFYIFh6U1RU9Nprr+3Zs4fvQowCgqU3dXV1KpVqwvzMrJ3OeSycFepTVVWVr6+vqenE/+8qk8m0z2NhglSfqN5bbFQwjwX8mPiDNvBC21dheXm5XC5XvxQIBE5OTm5ubsPeYymXy69fv/7o0aPe3l6GYQIDA21tbbW/961bt+rr6zs6OmxtbRcsWDDSZfnG7PPPP3/33XeXLVvGdyHGR8s9h/PmzWOG8PPzO3HihEKh0Gx58uRJX19fzWaenp7Hjh1TKpXD9lxZWRkWFqbZfsaMGevXr3/69OlYb4zkEXdbulAo5FbPBk3ajrF8fX3b2tqCgoK4+xW7urqqq6v/+ecfQkhMTMzBgwe5Zvv37z9+/LiZmdnSpUsDAgJUKlVJScmNGzcIITt27Bi6vq9YLI6Li3v+/LmXl1dYWJidnV1NTU1ubq5CoVi4cOHPP//8opxVKRSK5ORkkUgUGxvLdy3GR0vouBGrsLBQvUUul+/du5cbY6qrq1Uq1b1791xcXEQiUVlZmbqZQqGIj49nGOaVV17p6enR7FOhUAQHBzMMs3PnTs1h7/z581y3xcXFevo/AxQpFApuFcKRGowtWCqVSi6X+/j4MAxz9OhRbsuVK1fOnj07aF+JRMIF5fLly4P+qLGx8ZtvvmFZdtB2LnDbt2/X/pHAGLS2thJCHB0dR2ow5nksc3NzDw+Pjo4O9ZqZixYtGtrMzc3N3NycZdmhS2u6urp++umnQ3fx9PS8d++elslcMB4657HGM0Ha3NxMCHF2dtbSpqenh2VZQohQKCSE/PLLL1VVVbNnzx66JKZaZ2cnIUTnuSS/uBuatX/2l4HO+wrHHKz09HRuGBx2oFKrqKgghJiamnKT0WVlZZmZmSEhISMFq7e3l7un9vXXXyeEPHnypKura6y1DcvExISL+P9OpVJ9/PHHtbW1eXl5gYGBeulzotIdrKKiooaGBkJIT0/PzZs3udUEV61apf3ni9TUVEJIaGgotyShSCTy9fX19PQcqX1WVlZXV5dQKFyxYgUh5NChQydPnhzbRxmBpaUldyarFx4eHiqV6kWccjMw3cE6d+6c5svJkyfHxcVpf5Reenq6WCwWCATbtm3jtmzatGnTpk0jtX/w4MGBAwcIIZ999hn31Wlvb+/m5jaaD6CTQCDQ4/zFxo0bV65cyTCMvjqcsLQc+XNnhVu3bs3IyMjIyOCmQI8cOaL9fOGPP/5wd3dnGObUqVOjOb/gpsoYhomNjR007wovrjFMN5w5c4ZhmFmzZjU3N4+0y6VLlzw8PBiGSUlJGc3by2SykJAQhmHWrFnT19c3ptKBR/qcx1IqleHh4QzDxMfHD9s+IyNDJBIxDHPo0KHRFHfr1q2AgACGYVatWtXd3T2aXYyHRCLJy8vjuwre6JzHGtsEaXV19cyZMxmGuXr1qmbLgYGB7du3Mwzj4eGRk5Mzmsry8/M9PT0ZhtmyZUt/f/9odjEeDx8+FAqFNjY2t2/f5rsWfrS1tTk6Onp7e4/UYMwz71u2bGEYZsmSJXK5nNvS3NzMjWTz58+vrKwctqvCwsJ9+/ZlZWWpVKr+/v4dO3YwDOPq6jrKb0wj9MEHH6xevbqjo4PvQoyU7h+h09LS3nnnHfXG9vb2xYsXd3V1JSUlrVu37saNG7Gxsdyc06JFi+zt7Qd1EhAQsH79+oSEBG4eKzU1dfXq1dyUlYeHh4+Pz6D2FhYWKSkp+jo1occIH2pqVMY8Qerg4JCQkLBr167k5OSIiIjq6mr1TObVq1eHtudW2xWJRH5+fp6enp2dnerFBRsaGrgZMk1WVlZjLYkXSJV22kasuro6uVzu7u7OzS2psSx7+/ZtQohIJGJZtqWlRcsb2NnZaa4SLpfL6+rqtLQ3NTUdOozBCwfXvOvHwMCAubn5i3IlmQHgL0IPGhoagoODuR8PXhI67ytEsPSgvr6+oqIiPT29v7+f71oMhFsfy9vbe6QGCJYevP3225mZmRUVFZaWlnzXYiC4rxD4gRELqECwgAoES//6+/sPHjz48hzIDwuLguhfdHT0uXPnZDLZ4cOH+a6FNxix9C8xMXHOnDlr1qzhuxCKsD4WP5RK5cSehde5PtZE/vA8mtipIpjHAr5M8P9YvGtpaYmKirp58ybfhRgazgrpOnXqlFgslsvlubm5fNdiUAgWXV988QXLshs3buS7EEPDMRZQgWMsGA9cjwVU4Hos48KybGlpKd9V/E86OzuVSqXOeSwEy3CUSuV7770XFxf322+/8V3LOG3cuNHJyUksFnPrY6lvuBoKwTIcU1PT0NDQGTNmTJ48me9axkkoFLIs+/fff+tsibNCg1Iqld3d3YNupzNCra2t2dnZ9vb20dHRmttlMpmZmZmDg4POHhAsGEZhYWF4eLi/v39lZeX4esAEKZDm5mYXFxfNLcuWLYuOjo6IiFCpVMM+iEQnjFg8G/e/nF7I5fKAgIDbt2/LZLKpU6fqsWccvPOGZdnDhw8b/tee+/fv79+/Pz8/nxBiYWExffp0oVDIrZmgT/wscgMqVUNDw+zZs11dXe/cuWPI983JyWEYJioqinv56NEj9YpUeoSvQj4VFBQwDMOtQE6DQqGQSCSvvvqq5saurq5Dhw6Fh4cvXLiQ0vsSHGPp3Z9//imVStUvrayspk2b5uXlpeVZ0ZWVlTKZbP78+U5OTjr7b2pqqqys9PLyGhSXobq6ut56662BgYGamhqBQDD6j6AXOCvUs2+//baoqGjQRoFAEBkZuWvXLs0DZKVSWVpampaWxi2d/+GHH+7fv19LzzU1Nd99911eXh7Lsl5eXjp/GhIKhTNmzOjr62tubp41a9Z4P9A4IVhU+Pv7c0/u6OnpuXv37rVr13766afq6uqCggJra2uWZdPT09PS0h4+fDia3kpKSlJSUrgn9Q2rrKwsOzs7Pj5+3rx5mttzcnL4moxFsKh48803v/rqK/XL0tLSdevW1dXVnT59esOGDWZmZt9//z3LsjExMaGhoYWFhdnZ2Vp6Kyoqunv3bkRExLJly7q7uzV75ly6dCk/P9/FxWVQsHic4kewDGHp0qWhoaHFxcWXLl3asGGDiYlJfn6+er3Wixcvat999+7dBw4c4BanPHv27NAGUVFRrq6umkvF8g7BMhDuKOfp06fcy6GrAGuhc+Dx8fExtvU1ESwD4R4UNfrn0YnF4qKioqlTpyYkJFAsixrMvBvCtWvXSkpKCCFBQUGj3KW2tvaHH37QfuxlzDBiUVFVVXX8+HFCyLNnz+7du1daWqpUKr29vd9///1R9jBz5sxFixZpuUTTyCFYVJSXl5eXl6tfWlparl69+uuvvx79WpIRERERERF0qjMEBIuKoKCg8PBwQkhubu61a9cWLlz4si1phGBR4e3tHRMTQwhZvHhxSEjI5cuXL1y4EBYWxnddhoODd7rc3d03bNhACNm5c2dfXx/f5RgOgkXd5s2bnZ2dHz16dOLECb5rMRwEi7pJkybt2LGDEHLs2LGmpqZR7iUWixMTEw8ePEizNIpwjGUIkZGRp0+fLi8v37dvX2pqKiFEIpFs376d+9P6+npCSHFx8f379wkhHh4eycnJtbW16enpLi4uX375JSEkLi6OWy338ePHhJDGxsa1a9dyu588edLa2pqPj6UNgmUIJiYme/fuXbFiRUFBwe+//x4cHPzvv/9yV8uotbS0cM9R4372cXFxWbx4sXoeSywWP3/+XN24p6dHvTvLsgb6GGOBC/30rK2trbe3VygUDr03oaWlRS6XT5kyZdq0aQMDA5rXA2qytLQc+stPY2PjSP9Srq6uRrgyJYIFVBhd0mFiQLCACgQLqECwgAoEC6hAsIAKBAuoQLCACgQLqECwgAoEC6hAsIAKBAuoQLCACgQLqECwgAoEC6hAsIAKBAuoQLCACgQLqECwgAoEC6hAsIAKBAuoQLCACgQLqECwgAoEC6hAsIAKBAuoQLCACgQLqECwgAoEC6hAsIAKBAuoQLCACgQLqECwgAoEC6hAsIAKBAuoQLCACgQLqECwgAoEC6j4D1+gKRNQkbWiAAAA5HpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjAzLjFkZXYxAAB4nHu/b+09BiDgAWJGBghgg+IGRgYZDZAAkyQHkHQsyc/1K83J0ZBh0JZg1GECCgUZsglkgFUglIRUFqQqSrFBzQKqpaoSZkbcShh4wK5llGCCOM6Im4FRQFIEyAzOzEvPSfUvcizKz00syUx2ys9LUZRiRGhlZCJSIRMzkQqZWYhUyMJArEJWBhFGVgZGJmYWcZgwA9s8ph7bcyGz94M4dVH77RkYHJDZ9iA2VA2YHWAaAJJXBbFDeEUOAKmlILYYANaMVo0Ie6PoAAAA23pUWHRNT0wgcmRraXQgMjAyMS4wMy4xZGV2MQAAeJylkk0LwjAMhu/9FQFvwkrSL1evm3gQRXbYRfwB3v3/LE1dJ2x+oCGF9w3NA0mrIEXXHm53KGFapQCCJC5mjBF6g4gq3UeNoXYsKtKGrH/UOKBbvUJIUhZCIe2ii4mCeuO5d6I08JaCSxT4h1ImgtlE31N4jpqsfer9iWK0zZRqRvmwXVMoJCZkw8oWw8oVw8oX46VtMiE/lzryf9mfBZMKckL6NaqXhcFlvaVrNgaaLOwo3Cg8C0btTq0aADZQZIna9yl9AAAAyXpUWHRTTUlMRVMgcmRraXQgMjAyMS4wMy4xZGV2MQAAeJxljTELgzAQhf9KRy3JkbskVuNUsraluBYHpdkMiuhQ8Mc3Cm0NXQ7ex33vWbQ2eRwN1Wm4WFs8LAmCKlShmYCTZqUAkeUyU4ohEEotWckF5CglrghREDmOWcAEcsWMR/hXwL8Nnwm+baSsmXp/H/vBCJicH6quaV0HXBqMsjIUZW0k+L47B/vaDLfZt24ECvA5e/+6bE8VGbWXMMQ/Z4V7B42Ohmh5A+FUUtQCWaX6AAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAANAUlEQVR4nO3df1DTdRzH8c8UFCN+iBp8NofyI0CMCWVJJxcZWEa080w5ulOu6Co7b1RXUSFJhK1fu2OZcApH3UTvkstTtj86wVIzDo9MWGaYLQRUnMQ55mQeg7H++HY7UoENeDuZr8dfY/t+tzfs6fe7ffcFRQ6HgwFMtmmeHgC8E8ICEggLSCAsIIGwgATCAhIIC0ggLCCBsIAEwgISCAtIICwggbCABMICEggLSCAsIIGwgATCAhIIC0ggLCCBsIAEwgISCAtIICwggbCABMICEggLSCAsIIGwgATCAhIIC0ggLCCBsIAEwgISCAtIICwggbCABMICEggLSCAsIIGwgATCAhIIC0ggLCCBsIAEwgISCAtIICwggbCABMICEggLSCAsIIGwgATCAhIIC0ggLCCBsIAEwgISCAtIICwggbCABMICEggLSCAsIIGwgATCAhIIC0ggLCCBsIAEwgISCAtIICwggbCABMICEggLSCAsIIGwgISPpweYMs6ePRscHDxt2rS5c+d6epYpAFussZlMpvfeey8hIWHNmjX333//Z5991t/f7+mh7ngOGNnAwEBZWdmcOXMYYz4+PtHR0cIPLS4u7vvvv/f0dHc0hDWiH3/8USaTCSWtWLFCr9c7HI76+vrFixcLV6anp//++++eHvMOhbBuobOzc8OGDUI9UqlUo9EMv9Vms6nV6qCgIMaYr69vXl5eb2+vp0a9YyGs/7l27VpRUZGfnx9jzN/fv6io6Pr167dcsqenJy8vb/r06YyxOXPmqNXqwcHB2zztnQxh/WdoaKimpkYqlTLGRCLRunXrOjo6xlzr5MmTjz32mLBtS0xMPHr06G0YdUpAWA6Hw9HU1PToo48KfTz88MMNDQ1ura7VaiMiIoTVMzMz29raiOacQu72sC5evLhhwwaRSMQYE4vFO3futNvt47gfq9X66aefBgQEMMZmzZr17rvvXr16ddKnnULu3rCGpzBjxoy8vLyJpzBZmXqBuzQs0p3XBHes3uGuC6u5uXn4y+0jR45QPMrQ0JBGowkLC3O+Fejs7KR4oDvWXRTW8AMEISEht+EAgesHL7zPXRHWzYc0TSbTbXv0jo6OUQ63eivvD+vw4cOxsbHC85qRkXHmzBmPjFFfX//AAw8IY7z++uutra0eGeO28eaw/v7775ycHM55ampqTEyMTqfz7Dx2u12j0chksqioKIlEolAoenp6PDsSHe8My2w2b9myJTw8nHMeGxv79ddf22w2Tw/1H5PJVFBQIJVKOeeLFi2qqqoaGBjw9FCTz9vCstvtNTU1CQkJnHNhq9Dd3e3poW7BYDCsX7+ec845T0lJOXTokKcnmmReFVZDQ0NaWprwbK1Zs+b06dOenmgMP/30U2pqqjBwVlbWn3/+6emJJo2XhNXV1aVQKMRiMef8wQcfrKmpGRoa8vRQLrHZbJWVlbGxsZzz8PDwwsJCs9ns6aEmwZQPy2q1qlSqhQsXcs4jIyNVKtVUPFZ05cqVwsLC+fPnc87j4+MrKyun+kk4UzisoaEhrVa7dOlSzrlYLH7llVfOnz/v6aEm5Lffflu9erWwZ3zyySePHz/u6YnGb6qG1dLSIpfLhefgqaeeampq8vREk6auru6RRx4RvrWcnJwp+lnQ1AvLaDS+8847EomEc56YmFhdXe19ZxBYrdbt27dHR0dzziMiIrZu3Xrt2jVPD+UekcPhGOkXeEpKSiwWi/PLmTNnBgYGRkVFpaSk3HfffSOt1dDQsH//fs75+vXrQ0NDR1rMaWBgoLa2trGxMSoq6rXXXhPOORlpSY1G88UXX1gsFl9f35ycnPz8fOG8F69kNBqVSuW+ffscDkdYWNj777+/du3aG34+Op3u2LFjzi+nTZsWEBAgFouXLl2akJAw0j13dXV98803AwMD6enpKSkprgzT0tLy7bffzp49Oysry3liyGhGiU4mk/FbEd689Pf3D1/YZrNptdpnnnnGudixY8dGj/rq1auVlZUPPfSQc5VRtj11dXXJycnOHUR7e7sb/3ymspMnT2ZmZgrfeEZGxokTJ4bf+uGHH97yOeKcZ2ZmGgyGG+7t1KlTCoVCOHTMOX/rrbdGf3S73V5XV5eVleW82++++86Vscf+Tejk5OS0tDTGmM1mu3DhwqFDh/7555+qqqre3t6vvvqKMWa323fs2FFVVWU0GhljItFoW0FBT09PaWnp3r17rVbrmKsYDIaioqLDhw8zxqKjo4uLi1esWDH2vxhvkZSUVFtbu2/fvq1btzY3N8vl8ueee66wsHD4TiMgICAvL0+4fPny5RMnTrS0tPz6669r1649ePCgsOTPP/9cWlra2NgoLObK07Rr164dO3a0t7e7uPz/jBKdsMUqKSkZfqXFYhE+gOOcNzc3C1empaVFRETk5ORUV1cfP358zC1Wd3d3eHj44sWLFQqFVqutqKi45RbLZDIVFhY6P/2orKz0yk8/XNTX16dSqRYsWMA5j4qKUqlU/f39whYrKSnphoV3794t/Ei3bNkiXLNt2zbOeWpqqkql0uv1Tz/99JhbrOeff14qlcrl8srKyra2Nre2WG6H5XA4DAaD8BgqlUq4pr293Xn0yDnB6LvCv/76y5mR86cwPKxz587FxcU597z43T2B85P1yMjICxcujBSWw+FYtWoV53z58uXCl2az+dKlS85bMzIyxgzr4sWLFotFuGy1Wid5V3iziIiImTNn9vf3C/s+xtiCBQvcvRPnr6uPZOHChfHx8dOnT//oo4/i4uLGMadXioyM1Gg0R44cOX/+vEQiGWXJuLg4vV7vfI4CAwMDAwPdeiyxWDzuOccTVl9fn81mY4yFhIS4vpbJZDp16hRjTCaTBQcHu7KKRqO59957xzGh13v88cfHXObKlSvMzeeIMdbY2DgwMBAaGuo8iW18xvPXZg4ePOhwOBhj8fHxrq+l1+uzs7Ozs7P1er2Lq6CqcTOZTE1NTYyxRYsWubXiSy+9lJ2dXV5ePsEB3NhiDQ0NGY3G/fv3l5aWMsYkEklGRsYEHx4mndls/uWXX5RKpdlsZoy9/PLLHhlj7LDKy8tv7jc4OLiiosLX19f1R5LJZLt37xYuuDUijMloNN78ekgkEm3evNnF459OFRUVNpuNcz7Bkdx+jSUSid58880XXnjB3T9sFxIS8sQTT7j7cDA+KSkpBQUFiYmJ41hxUgYY+zVWbm5ua2tra2urRqNhjDkcjrCwMPy5xDtKaGio8Bzp9fr58+czxux2+5IlSzw40thh+fn5BQUFBQUFrVy5ctWqVYwxpVJpMpnoZwNXiUQi4TmaN2/eBx98wBhrbGzU6XQeHMm9d4UlJSWzZs3q7e1VqVREA8EEPfvss6mpqYyx4uLivr4+T43hXlgSiWTjxo2MsV27dv3xxx80I8FEFRcX+/r6Xrp0afv27Z6awe3jWAqFQiqV2u32goIChzufSnZ0dKjVarVa3dnZ6e6DgltiYmJycnIYY+Xl5W1tbW6tu3PnTrVaXV9fP8EZ3H5X6Ofnt3nz5o0bNzY1Nel0OrlczhizWCzbtm0TFhAOnzDG9uzZc/ToUcYY5zw3N/fcuXOff/45YywpKSk8PPz06dMHDhwQlnRu/JRKpXC+0bJly9LT0yf4vd3N8vPzdTpdd3d3cXGx8K6LMbZnzx7hVAXGWFdXF2Osubn5448/Fq559dVX586d++WXX/b29q5bt27lypWMMaVSKWw+BgcHhcW0Wu2ZM2cYY/7+/m+88cZIA4znIx25XF5dXd3Q0FBcXJyWlubv72+1WsvKym5YrLa2VriQkJCQm5t7w61nz569eRXnAbPBwUGENREBAQH5+flvv/12fX39Dz/8IJz4dODAgYaGhuGLCe8lhctZWVk3v9kvKyu7Yb9UX18vbM/mzZs3zrBefPHFvr6+5OTkm2/65JNP9u7dyxgzGAxLliy55557Nm3aNNL9CEfbUlJShO/B39+fMRYTEzPKKsuWLRtlMHBavny5j4/PLU+jzc7ONhqN169fv3z5snDN6tWrRzmyNXv2bMaY8BscM2bMEK7ctGnTSC94hOdxJG6evQXgGvyXJ0ACYQEJhAUkEBaQQFhAAmEBCYQFJBAWkEBYQAJhAQmEBSQQFpBAWEACYQEJhAUkEBaQQFhAAmEBCYQFJBAWkEBYQAJhAQmEBSQQFpBAWEACYQEJhAUkEBaQQFhAAmEBCYQFJBAWkEBYQAJhAQmEBSQQFpBAWEACYQEJhAUkEBaQQFhAAmEBCYQFJBAWkEBYQAJhAQmEBSQQFpBAWEACYQEJhAUkEBaQQFhAAmEBCYQFJBAWkEBYQAJhAQmEBSQQFpBAWEACYQEJhAUkEBaQQFhAAmEBCYQFJBAWkEBYQAJhAQmEBSQQFpBAWEACYQEJhAUkEBaQQFhAAmEBiX8BQkt0HiJxmzEAAABselRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDMuMWRldjEAAHice79v7T0GIOABYkYGCGAGYiYgbmBkUygAsVmYGHg0QDKMEow6IJkgQwwBbqB2IEuEQRxmDNgcELAHEQ/dlu0HGrkPyraHscUAK6gODvXh5HcAAACSelRYdE1PTCByZGtpdCAyMDIxLjAzLjFkZXYxAAB4nONSAIEgF+/MEgU4MHLh4lJQMAYyFBQMsCJLS0uFMCMDAwMukHoDPSDLAMIyhbPAYs4KuIxARiBTdA31jCwtQXp1DfSMTFFMCVLGq98QYYoCNUwxBPvcEMIxBrPAHF9gSLkHgCXBGCgIklYwBMm4+rlwAQB0hjRIrqjSlAAAAJV6VFh0U01JTEVTIHJka2l0IDIwMjEuMDMuMWRldjEAAHicc9aI1rIyjNUEkwo1GgY6BnqmOta6hnpGlpYGJjq6BnpGQD4qV1MnsSQ/N6Aov8DKUK84MyXVOSMxMy8oJzEpNadYL9pQJxYonpuf4whU5ZtY4Feam5RapGcIFEwpzc2t9AGp0wsytDLCodkIm2YjVM01APz2OOfuWOdfAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAQTUlEQVR4nO3de0yTd9vA8asn24IKiIPdRYRNBYYchvNlzwiLgRh8EswQHAOUzgEqgsd5Qjd1j1MkOJwh2Vwyo4uHqXMgyJwMFMYT9+BQAZGBCh4gKgiik0JLD7R9/7ift+GlUKj017st1yfLAnev/vgVv7S3XelYWq0WEDI1NtMbQLYJw0JEYFiICAwLEYFhISIwLEQEhoWIwLAQERgWIgLDQkRgWIgIDAsRgWEhIjAsRASGhYjAsBARGBYiAsNCRGBYiAgMCxGBYSEiMCxEBJfpDQxBLpcrFIqBRxwcHAzMSySSx48f9/b2UhTl7u4+4voSieTJkycSiYSiqOnTp491uyalVqtv374NAN7e3jweT3+gra3txYsXzs7OFEWZfXfG0Fqe3bt3U//f9OnTIyMjf/zxR41GM3Cyrq5OLBa7ubnpJufNm3f58uXhVm5oaFi2bNm0adN086GhoSUlJeRv02g9f/6c/nNpaWkZciA5ORkAVq9ebeaNGcsS77FoLi4u3t7eACCVSh88eFBTU1NTU/PHH398++23LBYLAC5dupSamiqXyz08PIKDgwHg6tWrTU1Ny5YtO3LkyIIFCwYtWFFRsXz5cplM5u7u/u6777JYrKqqqvv37yclJX333XcffPCB+W+jLWO67CHQ91hr1qzRHVEqlbm5ufR9THFxsVarlUgkAQEBFEUdOHBArVbTY1Kp9KOPPqIoau7cubqDtN7e3qCgIIqisrKydBf19fUlJiZSFPX2228rlUpz3T5DbOYeyzpO3nk83rp169577z0AuHjxIgDY29vv27dv7dq1GzduZLP/eyvs7Ox27NgBAE+ePKHPVHSEQmFWVlZ6evq2bdt08wKBgJ7v6Oior6835y2yedYRFs3Pzw8A2tvbAYDNZkdGRm7fvn3QjI+PD4fDAYC2traBx9ls9oIFC+iMBpo5cyZ9jkwvi0zFcs+x9HV2dgLA1KlTDczI5XK1Wg0A9vb2AHDp0qWHDx/6+vqGhoYOOa9SqQbOI1OxmrCamppKS0sBgD5PH05tbS0AcLlc+u7t1KlTJSUlYrF4uLBqa2s1Gg2bzfb391er1S9evBjLJunTi1e++sSJE3Ufl5WVvfbaa/ozjx49euX1zclyw3r48OHJkycBQKFQNDU15eXl9fX1vfnmmwkJCQaudfjwYQCIiIiYPHkyAIhEohkzZri4uBieDw8Pd3Z2bmlpCQkJGcuenZycGhsbX/nqu3btWr9+Pf1xSkrKWHbCOMsNi35+QfcpfZKUnZ0tEAiGu8rPP/9cVlbG5/O3bt1KH8nMzDTwJYqKin777Tcej7dt2zYA4HA4hh9nRzRp0iQDEY9o4D1Weno6/bMxyMWLF2/duvXKX8JsLDcsPz+/qKgoACgtLb1+/fq8efN++OEHA/PXr1+nz+W//PJLLy+vEdevqanZvHkzAHzxxRe+vr4A4O7uzvifme6xeOvWrR4eHvoDnZ2djG9yNCw3LG9v79WrVwNAZGRkWFjY77//Xl5eHh4ePuRwVVWVWCyWyWQ7duwQi8UjLl5dXb106dLe3t4tW7bQzwwh07KCpxs8PT1XrlwJADt37lQqlfoD+fn58fHxvb29mzdvTk9PH3HBoqKi2NhYiUSybt26Tz/91PQ7RlYRFgBs2LDBzc3t4cOHR44cGXi8v79/7969a9euZbFY33zzzcaNGw2vo1ars7Oz09LStFrtwYMH6VMrRIJ1hCUUCj/77DMAOHjwYEdHB32wvb09Njb20KFDFEWdO3cuJiZG/4onTpzYvn17YWEhAHR1dSUmJubm5rq6uubn58fFxZnzJow3lnuONUh0dPTJkyevXr26b9++3Nzc5ubmRYsW/f333wAwZcqUrKysQfPz589fsWJFeXl5SUmJRqMJDAyMiorq6uqi57OzswfNz5s3bzQPo2iUrCYsAMjMzIyIiMjLy1uyZElPTw9dFQA0NDToD3t6egJAUFCQRqPx9fV9/PgxXRUADPlUk0gkIrVvY7BYLPq1G/S/9bHZbBaLpfvPnRaLNZZnigmhX+jH4/Hs7OwGXSSRSLRaLZ/P53A4MpnMwCITJkwQCoW6T1UqleH5Ib8cemWWGBayAZZ+j4qsFIaFiMCwEBEYFiICw0JEYFiICAwLEYFhISIwLEQEhoWIwLAQERgWIgLDQkRgWIgIDAsRgWEhIjAsRASGhYjAsBARGBYiAsNCRGBYiAgMCxGBYSEiMCxEBIaFiLCmNwUxLblcrtFomN7FqAgEAst/F5BBxmlYcrl87ty5Q75NjQUqLi6OiIiwrrbG6ZuCBAQE1NfX8/l8y//TUigUGo2mvLw8LCyM6b0YYZzeY9GuXbsWEBDA9C5GEBYWVlFRwfQujGbpP6/ISmFYiAgMCxGBYSEiMCxEBIaFiMCwEBEYFiICw0JEYFiICAwLEYFhISIwLEQEhoWIwLAQERgWIgLDQkRgWIgIDAsRgWEhIjAsRASGhYjAsBARGBYiAsNCRGBYiAgMCxGBYSEiMCxEBIaFiMCwEBEYFiICw0JEYFiICAwLEYFhISIwLEQEhoWIwLAQERgWIgLDQkRgWIgIDAsRgWEhIjAsRASGhYjAsBARGBYiAsNCRGBYiAgMCxGBYSEiMCxEBIaFiOAyvQEGqFSq58+fA0BwcDCLxWJ6OyNQKpUA0NTUFBYWxvRejKEdZ5RKZUxMDABMmTKF6e/9aPH5fCcnpxs3bjD9zTMCS6vVMv19Mx+VShUXF1dQUODo6HjhwoU5c+YwvaORqdXqFStWnDlzxtHRsaSkJDg4mOkdjQ7TZZuPUqmMjo4GAEdHx2vXrjG9HSP09/cnJCTQO6+qqmJ6O6MyXsKy3qpoVtfWuAjL2quiWVdbth+WbVRFs6K2bDwsW6qKZi1t2XJYtlcVzSrastmwbLUqmq4tBwcHy2zLNsOy7apoFt6WDYY1HqqiWXJbthbW+KmKZrFt2VRY460qmmW2ZTthjc+qaBbYlo2ENZ6rollaW7YQFlZFUyqVixcvBgAnJ6eaxzXMbsbqXzajUqk2bNhQWVnZ2tp6+fJlq3glDDlqtVosFrdHtdf61JbOLA22Z+w1Ntb90mSVSpWWllZQUMDlcsvKysZ5VQDA4XCOnTjm/D/O3eruf977Z7WsmrGtMHuHORZKpTI5OZmiKG9v79raWqa3Y0H6Nf0JDxKgGhxuOlT1MnO+Za1hYVWGMd6WVYaFVY0Gs21ZX1hY1egx2JaVhYVVGYuptqwpLKzq1TDSltWEhVWNha4tx5uO5mnLOsLCqsbOzG1ZQVhYlamYsy1LDwurMi2ztWXRYWFVJJinLcsNC6sixwxtWWhYWBVppNuyxLCwKvN45bYk/ZLS7tJ/9/zbwIyhN17bs2dPT0+P7lOhUEhRVGhoqJ+f36BJhUJRWFhYWVn55MkTLpfr5eX14YcfBgQEDLeyUqksKiq6cuVKW1sbh8OZNWtWdHS07kUva9asKS4udnBwOHv2rL+//xheuoEM4bA4JzxPAEBRd5FMIxt0qUwjuyu/+1z93J5t78X3cuY66y66p7gXcS/ChevSEdAx7OoGogsICKCG8vHHH0skEt3YrVu33nnnnUEzIpEoJydnyGUbGxuDg4P157OysuiBX375Zfbs2XhfZR5KjbJeVj/wyHXp9YX3FvJr+FAN9D+cGk5YU9gN6X/f+a1GWgPV4FLnYmDZkcM6evRoXV1dbW1tcXHxzp07PTw8KIr65JNP6JmnT596eXnRtVVVVT179qyxsXH9+vV0LqWlpYPW7Orq8vHxoSgqMTHx6tWrz549u3PnzqZNm+j5X3/9lR7r6ekx6ruDTOVo11FuDReqQVAriGiOWN66PO5B3Ou3Xodq4NZw8//O15oqrPLy8oEH8/Ly6Aju3bun1WpLS0t9fX1XrVql0WgGjkVFRVEUtWTJkkFrlpeXz549OyUlRa1WDzweGxtLUVRsbOwobjsipbK3kq5q4b2FT5VPdcdVGtXutt12tXZnXpzREgqrv7/f09OToqj8/Hz6iFQqHfjISDt8+DBFUYGBgfrLymSy7u7uQQePHTtGUZSPj4+B/SDSQu6EQDXMuT1HoVHoX9qubKc/GE1YRr9rMofDEQgECoVC+3+/hWFnZ6c/Rr91rEKh0L9IKBQKhcIh5+l3CEaMuCu/WymtBIA91J4JrAn6A6/zXh/9akb/MkVDQ0N3dzcAvPHGGwbGWlpaAMDd3R0AZDLZjBkzZsyYUV097Gv7W1tbdfOIEf+R/gcA7Nh2EZMjxr6aEWGp1eqqqqq0tDQAeOutt4KCgoab1Gq158+fB4Dw8HD6076+vr6+PrVaPdxVCgoKdPOIEc2KZgDwFfhyWSZ49/+Rl1i5ciWXywUAmUymUqkAwNXV9dChQwbeev/s2bPNzc1CoTApKQkABALB4cOHAWDWrFlDzhcWFjY2NvL5/JSUlFe7GWjsXva/BAAnrpNJVhttm1qtlq4qPT193bp1kydPHm7y7t27O3bsAIDPP//c1dUVADgcTmRk5HDzDx48yMjIAICMjAw3Nzejdo9MiM1iA4DWRL/APPJD4ffff3/79u07d+6EhIQAQGdnp4Gq7t+/Hx8fL5VKk5KSkpOTR1z80aNHCQkJPT098fHxqampRm0dmZYjxxEAuvq7TLKaEedYmZmZXC43Pz//zz//HHLg5s2bixcv7ujoSEhI2Lt374gL/vXXX1FRUY8ePYqNjc3JybH8/62NbfMR+ADAHcUdpdYEfzc3Iixvb2+xWKzVanft2qV/Gl5YWBgTE9PZ2ZmamvrVV1+NWMmFCxcWLVr09OnT5OTkr7/+ms227l/2twGhE0NZwJJr5Be7L5pgOQPPcek/Qfry5cvZs2dTFHX8+HHdQZVKtXfvXpFI5OnpeebMGf11NBpNe3t7e3u7Uqmk53Nyctzc3Dw8PE6fPm1gA8jMwpvCoRr8G/371H0Gxkz/BKmDg0NGRkZGRkZWVtbChQudnJxaW1tXrVpVV1fH4/G2bNkiEomuXLky8CqBgYEcDod+5UJhYaFIJEpLS6uuruZyuZs2bXJzcxs07+/v7+joOPYfGPQKctxy/nH3H/V99QvvLzzqcXT6hOm6ix6rHp96cWqz62b26B7ljH7GYunSpadPn75582ZOTk5mZub+/fvr6uoAgL7f0p8/d+7cwJe+HDhwgH6atL+/PysrS3/+p59+ev/9943dFTKJILug457Hl7UsK+spm9UwK2RiyEz+TLlG3qxoviG7odaq59jNmT9p/miWMhRWUlKSVCr18PAYeJDNZu/fv//8+fMcDkehUERERIhEIgOLiEQioVBYVlYGAJ6enp2dnVOnTjUwj0++MyvOKc5P6Pevtn8VS4oreioqeiro4+4T3GMdY/0Eg1+KNxyrf+M1RIhCq7ivuP+s/5kd224abxrFo3QXaUDTo+5hA3sSZ9JwV8ewEBH4l3xEBIaFiMCwEBEYFiICw0JEYFiICAwLEYFhISIwLEQEhoWIwLAQERgWIgLDQkRgWIgIDAsRgWEhIjAsRASGhYjAsBARGBYiAsNCRGBYiIj/BSb++cD1nQ10AAAArHpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjAzLjFkZXYxAAB4nHu/b+09BiDgAWJGBgjgAGJ2IG5gZFMoAImzQBlMLExoDKCUoIICWC+PBkgvowSTDhOQDjJiZIAIYEhwA8UYmRiYmBmYWRiYGRhYgbaxMYgwAjlMjOIwR4Bc4bBf6pvoPgjXYb+t41p7KNsemQ1Ts+3wc/uqpln7oez9MDZIzbwFYg4wc2BsMQAdJiHx5tZz9QAAAMh6VFh0TU9MIHJka2l0IDIwMjEuMDMuMWRldjEAAHicrZLBCsIwDIbvfYofPFuSdlvb8yoKosgOvoPg0ffHtINSdY4xDYHkp+lHmkYh2RCPtweKmagU4AEH0KSHEHA1RCR12JJ2LdGYcdM1iUFaTgk9viFqf6WAtW1tt4qCP1N+eZF04JlcorA25Lim3BfPZYYybGbvm8m5mPe5HNb80QdlcS+cBY9CMluEZE0RkrW14CK6WoxbmsVJFnl/ycxUk6NPMZ3szlE9Abz2dALa9ZrwAAAAx3pUWHRTTUlMRVMgcmRraXQgMjAyMS4wMy4xZGV2MQAAeJx1jD0LwjAQQP+Ko0py9NImkXSSLAoq0rV0SG3BQGJLPwahP94qChba7d7du6edRq01plvFMkgP2WdYDWuEHQZCEIrAAolI4gAkJzQAjEQUyS8jhDzknMR0Dv9suhBk048fbojpKn9tqlpxaG1R6ruxj8SZvHQtpJSTbDz4yu1H7WzqS+/zsgE2Love++fpLULClADbHn3t7M12gEouxeRcTE5jwwtqCFLUUO1BXgAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HTML(frame.to_html())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (conda rdkit_build)",
   "language": "python",
   "name": "rdkit_build"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
