torsion_resp.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from rdkit import Chem\n",
    "from rdkit.Chem import AllChem\n",
    "from rdkit.Chem import Draw\n",
    "from rdkit.Chem import rdMolTransforms\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "AllChem.SetPreferCoordGen(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mol_with_atom_index(mol):\n",
    "    for atom in mol.GetAtoms():\n",
    "        atom.SetAtomMapNum(atom.GetIdx())\n",
    "    return mol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import py3Dmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "mol = Chem.MolFromSmiles('C=CC(=O)OC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f9faa4af490>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hmol = Chem.AddHs(mol)\n",
    "mol_with_atom_index(hmol)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_1597475038633385\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_1597475038633385\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_1597475038633385 = null;\nvar warn = document.getElementById(\"3dmolwarning_1597475038633385\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_1597475038633385 = $3Dmol.createViewer($(\"#3dmolviewer_1597475038633385\"),{backgroundColor:\"white\"});\n\tviewer_1597475038633385.removeAllModels();\n\tviewer_1597475038633385.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.5050   -1.5395   -0.9250 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.6993    0.4530    0.1045 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1245    0.4525   -0.0632 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.5071    1.4724   -0.0086 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2939    0.0361   -1.0933 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.6039   -0.2592    0.6310 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_1597475038633385.setStyle({\"stick\": {}});\n\tviewer_1597475038633385.setBackgroundColor(\"0xeeeeee\");\n\tviewer_1597475038633385.zoomTo();\nviewer_1597475038633385.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_1597475038633385\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_1597475038633385\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_1597475038633385 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_1597475038633385\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_1597475038633385 = $3Dmol.createViewer($(\"#3dmolviewer_1597475038633385\"),{backgroundColor:\"white\"});\n",
       "\tviewer_1597475038633385.removeAllModels();\n",
       "\tviewer_1597475038633385.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.5050   -1.5395   -0.9250 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.6993    0.4530    0.1045 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1245    0.4525   -0.0632 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.5071    1.4724   -0.0086 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2939    0.0361   -1.0933 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.6039   -0.2592    0.6310 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_1597475038633385.setStyle({\"stick\": {}});\n",
       "\tviewer_1597475038633385.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_1597475038633385.zoomTo();\n",
       "viewer_1597475038633385.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "AllChem.EmbedMolecule(hmol)\n",
    "IPythonConsole.drawMol3D(hmol)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "179.99918297409627"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdMolTransforms.GetDihedralDeg(hmol.GetConformer(0), 0, 1, 2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386417077\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386417077\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386417077 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386417077\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386417077 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386417077\"),{backgroundColor:\"white\"});\n\tviewer_15974750386417077.removeAllModels();\n\tviewer_15974750386417077.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6068    0.3659    0.0693 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5883   -1.6256   -0.9802 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.0145   -1.6075   -1.1381 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.3874   -2.6227   -1.2789 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.4066   -1.1876   -0.1720 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.3165   -0.8910   -1.9214 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386417077.setStyle({\"stick\": {}});\n\tviewer_15974750386417077.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386417077.zoomTo();\nviewer_15974750386417077.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386417077\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386417077\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386417077 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386417077\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386417077 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386417077\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386417077.removeAllModels();\n",
       "\tviewer_15974750386417077.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6068    0.3659    0.0693 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5883   -1.6256   -0.9802 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.0145   -1.6075   -1.1381 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.3874   -2.6227   -1.2789 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.4066   -1.1876   -0.1720 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.3165   -0.8910   -1.9214 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386417077.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386417077.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386417077.zoomTo();\n",
       "viewer_15974750386417077.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "30\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386434977\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386434977\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386434977 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386434977\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386434977 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386434977\"),{backgroundColor:\"white\"});\n\tviewer_15974750386434977.removeAllModels();\n\tviewer_15974750386434977.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.5444    0.4881   -0.4704 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.6564   -1.7589   -0.3914 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.0820   -1.7396   -0.5546 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.5134   -2.6673   -0.1768 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.4323   -0.8736    0.0703 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.3575   -1.4908   -1.5940 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386434977.setStyle({\"stick\": {}});\n\tviewer_15974750386434977.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386434977.zoomTo();\nviewer_15974750386434977.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386434977\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386434977\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386434977 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386434977\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386434977 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386434977\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386434977.removeAllModels();\n",
       "\tviewer_15974750386434977.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.5444    0.4881   -0.4704 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.6564   -1.7589   -0.3914 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.0820   -1.7396   -0.5546 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.5134   -2.6673   -0.1768 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.4323   -0.8736    0.0703 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.3575   -1.4908   -1.5940 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386434977.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386434977.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386434977.zoomTo();\n",
       "viewer_15974750386434977.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386456602\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386456602\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386456602 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386456602\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386456602 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386456602\"),{backgroundColor:\"white\"});\n\tviewer_15974750386456602.removeAllModels();\n\tviewer_15974750386456602.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.4851    0.3223   -0.9987 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.7210   -1.5780    0.1849 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1461   -1.5603    0.0165 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.6218   -2.1513    0.8001 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.4361   -0.4798    0.1244 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.4261   -1.8452   -1.0123 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386456602.setStyle({\"stick\": {}});\n\tviewer_15974750386456602.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386456602.zoomTo();\nviewer_15974750386456602.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386456602\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386456602\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386456602 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386456602\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386456602 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386456602\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386456602.removeAllModels();\n",
       "\tviewer_15974750386456602.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.4851    0.3223   -0.9987 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.7210   -1.5780    0.1849 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1461   -1.5603    0.0165 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.6218   -2.1513    0.8001 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.4361   -0.4798    0.1244 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.4261   -1.8452   -1.0123 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386456602.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386456602.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386456602.zoomTo();\n",
       "viewer_15974750386456602.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "90\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386475484\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386475484\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386475484 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386475484\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386475484 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386475484\"),{backgroundColor:\"white\"});\n\tviewer_15974750386475484.removeAllModels();\n\tviewer_15974750386475484.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.4448   -0.0871   -1.3741 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.7650   -1.1314    0.5944 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1896   -1.1177    0.4223 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.6833   -1.2129    1.3901 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.4168   -0.1117   -0.0245 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.5039   -1.8593   -0.3323 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386475484.setStyle({\"stick\": {}});\n\tviewer_15974750386475484.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386475484.zoomTo();\nviewer_15974750386475484.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386475484\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386475484\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386475484 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386475484\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386475484 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386475484\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386475484.removeAllModels();\n",
       "\tviewer_15974750386475484.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.4448   -0.0871   -1.3741 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.7650   -1.1314    0.5944 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1896   -1.1177    0.4223 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.6833   -1.2129    1.3901 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.4168   -0.1117   -0.0245 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.5039   -1.8593   -0.3323 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386475484.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386475484.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386475484.zoomTo();\n",
       "viewer_15974750386475484.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "120\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386490614\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386490614\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386490614 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386490614\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386490614 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386490614\"),{backgroundColor:\"white\"});\n\tviewer_15974750386490614.removeAllModels();\n\tviewer_15974750386490614.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.4342   -0.6304   -1.4959 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.7765   -0.5387    0.7272 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.2011   -0.5304    0.5540 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.6816   -0.1037    1.4352 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.3797    0.1320   -0.3363 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.5699   -1.5293    0.2639 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386490614.setStyle({\"stick\": {}});\n\tviewer_15974750386490614.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386490614.zoomTo();\nviewer_15974750386490614.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386490614\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386490614\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386490614 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386490614\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386490614 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386490614\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386490614.removeAllModels();\n",
       "\tviewer_15974750386490614.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.4342   -0.6304   -1.4959 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.7765   -0.5387    0.7272 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.2011   -0.5304    0.5540 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.6816   -0.1037    1.4352 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.3797    0.1320   -0.3363 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.5699   -1.5293    0.2639 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386490614.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386490614.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386490614.zoomTo();\n",
       "viewer_15974750386490614.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "150\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386505063\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386505063\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386505063 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386505063\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386505063 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386505063\"),{backgroundColor:\"white\"});\n\tviewer_15974750386505063.removeAllModels();\n\tviewer_15974750386505063.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.4563   -1.1621   -1.3315 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.7525    0.0412    0.5479 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1772    0.0444    0.3763 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.6171    0.8792    0.9232 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.3347    0.1861   -0.7275 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.6065   -0.9436    0.6165 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386505063.setStyle({\"stick\": {}});\n\tviewer_15974750386505063.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386505063.zoomTo();\nviewer_15974750386505063.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386505063\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386505063\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386505063 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386505063\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386505063 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386505063\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386505063.removeAllModels();\n",
       "\tviewer_15974750386505063.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.4563   -1.1621   -1.3315 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.7525    0.0412    0.5479 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1772    0.0444    0.3763 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.6171    0.8792    0.9232 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.3347    0.1861   -0.7275 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.6065   -0.9436    0.6165 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386505063.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386505063.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386505063.zoomTo();\n",
       "viewer_15974750386505063.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "180\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_1597475038652143\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_1597475038652143\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_1597475038652143 = null;\nvar warn = document.getElementById(\"3dmolwarning_1597475038652143\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_1597475038652143 = $3Dmol.createViewer($(\"#3dmolviewer_1597475038652143\"),{backgroundColor:\"white\"});\n\tviewer_1597475038652143.removeAllModels();\n\tviewer_1597475038652143.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.5050   -1.5395   -0.9250 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.6993    0.4530    0.1045 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1245    0.4525   -0.0632 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.5071    1.4724   -0.0087 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2939    0.0361   -1.0933 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.6039   -0.2592    0.6310 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_1597475038652143.setStyle({\"stick\": {}});\n\tviewer_1597475038652143.setBackgroundColor(\"0xeeeeee\");\n\tviewer_1597475038652143.zoomTo();\nviewer_1597475038652143.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_1597475038652143\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_1597475038652143\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_1597475038652143 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_1597475038652143\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_1597475038652143 = $3Dmol.createViewer($(\"#3dmolviewer_1597475038652143\"),{backgroundColor:\"white\"});\n",
       "\tviewer_1597475038652143.removeAllModels();\n",
       "\tviewer_1597475038652143.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.5050   -1.5395   -0.9250 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.6993    0.4530    0.1045 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.1245    0.4525   -0.0632 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.5071    1.4724   -0.0087 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2939    0.0361   -1.0933 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.6039   -0.2592    0.6310 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_1597475038652143.setStyle({\"stick\": {}});\n",
       "\tviewer_1597475038652143.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_1597475038652143.zoomTo();\n",
       "viewer_1597475038652143.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "210\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386536818\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386536818\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386536818 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386536818\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386536818 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386536818\"),{backgroundColor:\"white\"});\n\tviewer_15974750386536818.removeAllModels();\n\tviewer_15974750386536818.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.5674   -1.6618   -0.3853 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.6313    0.5863   -0.4843 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.0571    0.5846   -0.6467 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.3810    1.5169   -1.1107 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2682   -0.2779   -1.3357 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.5629    0.3406    0.3035 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386536818.setStyle({\"stick\": {}});\n\tviewer_15974750386536818.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386536818.zoomTo();\nviewer_15974750386536818.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386536818\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386536818\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386536818 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386536818\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386536818 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386536818\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386536818.removeAllModels();\n",
       "\tviewer_15974750386536818.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.5674   -1.6618   -0.3853 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.6313    0.5863   -0.4843 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -2.0571    0.5846   -0.6467 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.3810    1.5169   -1.1107 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2682   -0.2779   -1.3357 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.5629    0.3406    0.3035 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386536818.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386536818.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386536818.zoomTo();\n",
       "viewer_15974750386536818.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "240\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386551068\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386551068\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386551068 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386551068\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386551068 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386551068\"),{backgroundColor:\"white\"});\n\tviewer_15974750386551068.removeAllModels();\n\tviewer_15974750386551068.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6267   -1.4959    0.1430 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5666    0.4055   -1.0607 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -1.9930    0.4054   -1.2178 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.2727    1.0009   -2.0876 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2644   -0.6717   -1.3897 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.4943    0.6951   -0.2782 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386551068.setStyle({\"stick\": {}});\n\tviewer_15974750386551068.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386551068.zoomTo();\nviewer_15974750386551068.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386551068\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386551068\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386551068 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386551068\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386551068 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386551068\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386551068.removeAllModels();\n",
       "\tviewer_15974750386551068.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6267   -1.4959    0.1430 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5666    0.4055   -1.0607 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -1.9930    0.4054   -1.2178 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.2727    1.0009   -2.0876 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2644   -0.6717   -1.3897 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.4943    0.6951   -0.2782 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386551068.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386551068.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386551068.zoomTo();\n",
       "viewer_15974750386551068.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "270\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_1597475038656738\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_1597475038656738\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_1597475038656738 = null;\nvar warn = document.getElementById(\"3dmolwarning_1597475038656738\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_1597475038656738 = $3Dmol.createViewer($(\"#3dmolviewer_1597475038656738\"),{backgroundColor:\"white\"});\n\tviewer_1597475038656738.removeAllModels();\n\tviewer_1597475038656738.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6670   -1.0865    0.5184 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5226   -0.0412   -1.4701 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -1.9494   -0.0373   -1.6236 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.2111    0.0626   -2.6777 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2837   -1.0398   -1.2409 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.4165    0.7092   -0.9582 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_1597475038656738.setStyle({\"stick\": {}});\n\tviewer_1597475038656738.setBackgroundColor(\"0xeeeeee\");\n\tviewer_1597475038656738.zoomTo();\nviewer_1597475038656738.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_1597475038656738\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_1597475038656738\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_1597475038656738 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_1597475038656738\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_1597475038656738 = $3Dmol.createViewer($(\"#3dmolviewer_1597475038656738\"),{backgroundColor:\"white\"});\n",
       "\tviewer_1597475038656738.removeAllModels();\n",
       "\tviewer_1597475038656738.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6670   -1.0865    0.5184 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5226   -0.0412   -1.4701 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -1.9494   -0.0373   -1.6236 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.2111    0.0626   -2.6777 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.2837   -1.0398   -1.2409 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.4165    0.7092   -0.9582 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_1597475038656738.setStyle({\"stick\": {}});\n",
       "\tviewer_1597475038656738.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_1597475038656738.zoomTo();\n",
       "viewer_1597475038656738.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "300\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386584084\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386584084\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386584084 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386584084\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386584084 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386584084\"),{backgroundColor:\"white\"});\n\tviewer_15974750386584084.removeAllModels();\n\tviewer_15974750386584084.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6775   -0.5432    0.6402 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5111   -0.6338   -1.6030 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -1.9380   -0.6246   -1.7553 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.2128   -1.0466   -2.7227 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.3208   -1.2835   -0.9291 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.3505    0.3792   -1.5544 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386584084.setStyle({\"stick\": {}});\n\tviewer_15974750386584084.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386584084.zoomTo();\nviewer_15974750386584084.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386584084\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386584084\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386584084 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386584084\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386584084 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386584084\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386584084.removeAllModels();\n",
       "\tviewer_15974750386584084.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6775   -0.5432    0.6402 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5111   -0.6338   -1.6030 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -1.9380   -0.6246   -1.7553 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.2128   -1.0466   -2.7227 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.3208   -1.2835   -0.9291 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.3505    0.3792   -1.5544 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386584084.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386584084.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386584084.zoomTo();\n",
       "viewer_15974750386584084.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "330\n"
     ]
    },
    {
     "data": {
      "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_15974750386601985\"  style=\"position: relative; width: 400px; height: 400px\">\n        <p id=\"3dmolwarning_15974750386601985\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n}\n\nvar viewer_15974750386601985 = null;\nvar warn = document.getElementById(\"3dmolwarning_15974750386601985\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_15974750386601985 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386601985\"),{backgroundColor:\"white\"});\n\tviewer_15974750386601985.removeAllModels();\n\tviewer_15974750386601985.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6555   -0.0116    0.4758 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5352   -1.2138   -1.4237 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -1.9618   -1.1994   -1.5776 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.2773   -2.0295   -2.2107 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.3658   -1.3376   -0.5379 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.3139   -0.2065   -1.9070 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n\tviewer_15974750386601985.setStyle({\"stick\": {}});\n\tviewer_15974750386601985.setBackgroundColor(\"0xeeeeee\");\n\tviewer_15974750386601985.zoomTo();\nviewer_15974750386601985.render();\n});\n</script>",
      "text/html": [
       "<div id=\"3dmolviewer_15974750386601985\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_15974750386601985\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
       "    tag.async = true;\n",
       "    tag.onload = () => {\n",
       "      resolve();\n",
       "    };\n",
       "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
       "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
       "});\n",
       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_15974750386601985 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_15974750386601985\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_15974750386601985 = $3Dmol.createViewer($(\"#3dmolviewer_15974750386601985\"),{backgroundColor:\"white\"});\n",
       "\tviewer_15974750386601985.removeAllModels();\n",
       "\tviewer_15974750386601985.addModel(\"\\n     RDKit          3D\\n\\n 12 11  0  0  0  0  0  0  0  0999 V2000\\n    2.1542    0.3889    0.4057 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.5425   -0.5998   -0.1883 C   0  0  0  0  0  0  0  0  0  1  0  0\\n    0.0795   -0.5908   -0.3553 C   0  0  0  0  0  0  0  0  0  2  0  0\\n   -0.6555   -0.0116    0.4758 O   0  0  0  0  0  0  0  0  0  3  0  0\\n   -0.5352   -1.2138   -1.4237 O   0  0  0  0  0  0  0  0  0  4  0  0\\n   -1.9618   -1.1994   -1.5776 C   0  0  0  0  0  0  0  0  0  5  0  0\\n    1.6311    1.2502    0.7991 H   0  0  0  0  0  0  0  0  0  6  0  0\\n    3.2279    0.3765    0.5252 H   0  0  0  0  0  0  0  0  0  7  0  0\\n    2.0986   -1.4403   -0.5669 H   0  0  0  0  0  0  0  0  0  8  0  0\\n   -2.2773   -2.0295   -2.2107 H   0  0  0  0  0  0  0  0  0  9  0  0\\n   -2.3658   -1.3376   -0.5379 H   0  0  0  0  0  0  0  0  0 10  0  0\\n   -2.3139   -0.2065   -1.9070 H   0  0  0  0  0  0  0  0  0 11  0  0\\n  1  2  2  3\\n  2  3  1  0\\n  3  4  2  0\\n  3  5  1  0\\n  5  6  1  0\\n  1  7  1  0\\n  1  8  1  0\\n  2  9  1  0\\n  6 10  1  0\\n  6 11  1  0\\n  6 12  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_15974750386601985.setStyle({\"stick\": {}});\n",
       "\tviewer_15974750386601985.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_15974750386601985.zoomTo();\n",
       "viewer_15974750386601985.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "confs = []\n",
    "import copy\n",
    "from IPython.display import display\n",
    "for deg in range(0, 360, 10):\n",
    "\n",
    "    rdMolTransforms.SetDihedralDeg(hmol.GetConformer(0), 0, 1, 2, 3, deg)\n",
    "    mol = copy.deepcopy(hmol)\n",
    "    confs.append(mol)\n",
    "    if deg % 30 == 0:\n",
    "        print(deg)\n",
    "        display(IPythonConsole.drawMol3D(hmol))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from psikit import Psikit\n",
    "pk = Psikit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizer: Optimization complete!\n",
      "Optimizer: Optimization complete!\n",
      "0 -306.4664671988334\n",
      "10 -306.4661685160852\n",
      "20 -306.4652912434956\n",
      "30 -306.46392597558355\n",
      "40 -306.46221004515115\n",
      "50 -306.4603256823502\n",
      "60 -306.4585016217785\n",
      "70 -306.4569816427162\n",
      "80 -306.4559863294905\n",
      "90 -306.4556871351432\n",
      "100 -306.45612777747436\n",
      "110 -306.45723766665077\n",
      "120 -306.45884826472906\n",
      "130 -306.4607129715492\n",
      "140 -306.4625814332829\n",
      "150 -306.46423792159135\n",
      "160 -306.46551916875075\n",
      "170 -306.4663230682071\n",
      "180 -306.4665970127409\n",
      "190 -306.46631883927336\n",
      "200 -306.4655118279453\n",
      "210 -306.46422915660736\n",
      "220 -306.46257314518425\n",
      "230 -306.46070675931935\n",
      "240 -306.4588449515096\n",
      "250 -306.4572373342053\n",
      "260 -306.45612993519217\n",
      "270 -306.455690925566\n",
      "280 -306.45599071201934\n",
      "290 -306.4569855833913\n",
      "300 -306.45850460984167\n",
      "310 -306.4603274750086\n",
      "320 -306.46221081912967\n",
      "330 -306.4639259824197\n",
      "340 -306.4652909556084\n",
      "350 -306.466168221301\n"
     ]
    }
   ],
   "source": [
    "resp_charges = []\n",
    "dihedral_energies = []\n",
    "dihedral_degrees = [i for i in range(0, 360, 10)]\n",
    "pk.read_from_smiles('C=CC(=O)OC')\n",
    "pk.optimize(basis_sets=\"scf/sto-3g\")\n",
    "pk.optimize(basis_sets=\"b3lyp/6-31G*\")\n",
    "\n",
    "for deg in dihedral_degrees:\n",
    "    conformer = pk.mol.GetConformer(0)\n",
    "    rdMolTransforms.SetDihedralDeg(conformer, 0, 1, 2, 3, deg)\n",
    "    degy = pk.energy(basis_sets=\"b3lyp/6-31g*\")\n",
    "    print(deg, degy)\n",
    "    try:\n",
    "        resp_chage = pk.calc_resp_charges()\n",
    "    except:\n",
    "        resp_chage = []\n",
    "    dihedral_energies.append(degy)\n",
    "    resp_charges.append(resp_chage)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "dihedral_energies_array = np.array(dihedral_energies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "rerative = (dihedral_energies_array - dihedral_energies_array.min()) * pk.psi4.constants.hartree2kcalmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Relative energy kcal/mol')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(dihedral_degrees, rerative)\n",
    "plt.xlabel('Dihedral Angle degree')\n",
    "plt.ylabel('Relative energy kcal/mol')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "chargeofO = []\n",
    "chargeofC = []\n",
    "for respc in resp_charges:\n",
    "    try:\n",
    "        oc = respc[3]\n",
    "        cc = respc[0]\n",
    "    except:\n",
    "        oc = None\n",
    "        cc = None\n",
    "    chargeofO.append(oc)\n",
    "    chargeofC.append(cc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'RESP Charge of Caron0')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(dihedral_degrees, chargeofC, c='b')\n",
    "plt.xlabel('Dihedral Angle degree')\n",
    "plt.ylabel('RESP Charge of Caron_0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.2197554791121001 0\n",
      "-0.22546639462261134 10\n",
      "-0.22748453026885992 20\n",
      "-0.23966308064488032 30\n",
      "-0.24612716742016771 40\n",
      "-0.25973807158327883 50\n",
      "-0.26879981847526174 60\n",
      "-0.2782436509298841 70\n",
      "-0.2935261176358955 80\n",
      "-0.29915569603697634 90\n",
      "-0.29723202343440797 100\n",
      "-0.29261598601586414 110\n",
      "-0.27709502631691196 120\n",
      "-0.2657938750127841 130\n",
      "-0.2502509197323011 140\n",
      "-0.23697490413226155 150\n",
      "-0.22216599104406917 160\n",
      "-0.22090016586002373 170\n",
      "-0.22737372923956456 180\n",
      "-0.23504522168916253 190\n",
      "-0.23607968258769527 200\n",
      "-0.24427533302704219 210\n",
      "-0.25471935667353574 220\n",
      "-0.26238156808759444 230\n",
      "-0.28420027350766175 240\n",
      "-0.3012323012514356 250\n",
      "-0.3012936774869173 260\n",
      "-0.29229779745275414 270\n",
      "-0.28599033928337697 280\n",
      "-0.28015993546139906 290\n",
      "-0.26395273269771485 300\n",
      "-0.2548554201929656 310\n",
      "-0.24663456846429835 320\n",
      "-0.23086215589584383 330\n",
      "-0.21739423945430714 340\n",
      "-0.22658279677694673 350\n"
     ]
    }
   ],
   "source": [
    "plt.plot(dihedral_degrees, chargeofO, c='b')\n",
    "plt.xlabel('Dihedral Angle degree')\n",
    "plt.ylabel('RESP Charge of Oxygen_')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'RESP Charge of Oxygen3')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(dihedral_degrees, chargeofO, c='b')\n",
    "plt.xlabel('Dihedral Angle degree')\n",
    "plt.ylabel('RESP Charge of Oxygen3')"
   ]
  },
  {
   "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": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}