{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "47ac389c-4292-4bd8-a723-93afcde7d98a",
   "metadata": {},
   "source": [
    "## Initial imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "03eac5ef-58c2-4dc4-a5f9-1fbdda42826c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PLAMS working folder: /path/plams/examples/MoleculeSubstitution/plams_workdir\n"
     ]
    }
   ],
   "source": [
    "from scm.plams import *\n",
    "import matplotlib.pyplot as plt\n",
    "from rdkit import Chem\n",
    "from rdkit.Chem import Draw\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "from rdkit.Chem import AllChem\n",
    "from typing import List\n",
    "\n",
    "IPythonConsole.ipython_useSVG = True\n",
    "IPythonConsole.molSize = 250, 250\n",
    "\n",
    "# this line is not required in AMS2025+\n",
    "init()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad08bfea-fbf2-441f-a445-a9936e14c990",
   "metadata": {},
   "source": [
    "## Helper class and function\n",
    "\n",
    "The ``MoleculeConnector`` class and ``substitute()`` method below are convenient to use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9b7fc767-fe74-4f6c-9c5d-a2b0e29cb317",
   "metadata": {},
   "outputs": [],
   "source": [
    "class MoleculeConnector:\n",
    "    def __init__(self, molecule, connector, name=\"molecule\"):\n",
    "        self.name = name\n",
    "        self.molecule = molecule\n",
    "        self.molecule.properties.name = name\n",
    "        self.connector = connector  # 2-tuple of integers, unlike the Molecule.substitute() method which uses two atoms\n",
    "\n",
    "    def __str__(self):\n",
    "        return f\"\"\"\n",
    "Name: {self.name}\n",
    "{self.molecule}\n",
    "Connector: {self.connector}. This means that when substitution is performed atom {self.connector[0]} will be kept in the substituted molecule. Atom {self.connector[1]}, and anything connected to it, will NOT be kept.\n",
    "        \"\"\"\n",
    "\n",
    "\n",
    "def substitute(substrate: MoleculeConnector, ligand: MoleculeConnector):\n",
    "    \"\"\"\n",
    "    Returns: Molecule with the ligand added to the substrate, replacing the respective connector bonds.\n",
    "    \"\"\"\n",
    "    molecule = substrate.molecule.copy()\n",
    "    molecule.substitute(\n",
    "        connector=(molecule[substrate.connector[0]], molecule[substrate.connector[1]]),\n",
    "        ligand=ligand.molecule,\n",
    "        ligand_connector=(ligand.molecule[ligand.connector[0]], ligand.molecule[ligand.connector[1]]),\n",
    "    )\n",
    "    return molecule\n",
    "\n",
    "\n",
    "def set_atom_indices(rdmol: Chem.rdchem.Mol, start=0):\n",
    "    for atom in rdmol.GetAtoms():\n",
    "        atom.SetAtomMapNum(atom.GetIdx() + start)  # give 1-based index\n",
    "    return rdmol\n",
    "\n",
    "\n",
    "def to_lewis(molecule: Molecule, template=None, regenerate: bool = True):\n",
    "    if isinstance(molecule, Chem.rdchem.Mol):\n",
    "        rdmol = molecule\n",
    "    else:\n",
    "        rdmol = to_rdmol(molecule)\n",
    "    if regenerate:\n",
    "        rdmol = Chem.RemoveHs(rdmol)\n",
    "        smiles = Chem.MolToSmiles(rdmol)\n",
    "        rdmol = Chem.MolFromSmiles(smiles)\n",
    "    if template is not None:\n",
    "        AllChem.GenerateDepictionMatching2DStructure(rdmol, template)\n",
    "    try:\n",
    "        if molecule.properties.name:\n",
    "            rdmol.SetProp(\"_Name\", molecule.properties.name)\n",
    "    except AttributeError:\n",
    "        pass\n",
    "    return rdmol\n",
    "\n",
    "\n",
    "def smiles2template(smiles: str):\n",
    "    template = Chem.MolFromSmiles(smiles)\n",
    "    AllChem.Compute2DCoords(template)\n",
    "    return template\n",
    "\n",
    "\n",
    "def draw_lewis_grid(\n",
    "    molecules: List[Molecule],\n",
    "    molsPerRow: int = 4,\n",
    "    template_smiles: str = None,\n",
    "    regenerate: bool = False,\n",
    "    draw_atom_indices: bool = False,\n",
    "    draw_legend: bool = True,\n",
    "):\n",
    "    template = None\n",
    "    if template_smiles:\n",
    "        template = smiles2template(template_smiles)\n",
    "\n",
    "    rdmols = [to_lewis(x, template=template, regenerate=regenerate) for x in molecules]\n",
    "    if draw_atom_indices:\n",
    "        for rdmol in rdmols:\n",
    "            set_atom_indices(rdmol, start=1)\n",
    "    legends = None\n",
    "    if draw_legend:\n",
    "        try:\n",
    "            legends = [x.properties.name or f\"mol{i}\" for i, x in enumerate(molecules)]\n",
    "        except AttributeError:\n",
    "            pass\n",
    "\n",
    "    return Draw.MolsToGridImage(rdmols, molsPerRow=molsPerRow, legends=legends)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc7a0846-13a1-4df8-9466-365bbf1b68bc",
   "metadata": {},
   "source": [
    "## Generate substrate molecule"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a1a55ff8-24aa-4758-be37-a74e6fa8f50c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "substrate_smiles = \"c1ccccc1\"\n",
    "substrate = from_smiles(substrate_smiles, forcefield=\"uff\")\n",
    "substrate.properties.name = \"benzene\"\n",
    "\n",
    "plot_molecule(substrate)\n",
    "plt.title(substrate.properties.name);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "738006d4-0b52-47ea-a2e8-773a15761b13",
   "metadata": {},
   "source": [
    "## Find out which bond to cleave"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20b74b17-9cbe-4aba-93dd-fad7eb6fa310",
   "metadata": {},
   "source": [
    "In the molecule you need to define which bond to cleave. To find out, run for example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c4bd952f-ac83-4147-9d41-6757deeb01cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "substrate.write(\"substrate.xyz\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0057fb8-c42e-437b-a080-00e7f193a058",
   "metadata": {},
   "source": [
    "Then open ``substrate.xyz`` in the AMS GUI and find that atoms 6 (C) and 12 (H) are bonded. We will choose this bond to cleave.\n",
    "\n",
    "Alternatively, we can plot the molecule inside a Jupyter notebook with RDkit to also find that atoms 6 (C) and 12 (H) are bonded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "827b3ebe-9309-4f63-a91b-e2071e10db9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns:svg=\"http://www.w3.org/2000/svg\" xmlns:rdkit=\"http://www.rdkit.org/xml\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" version=\"1.1\" baseProfile=\"full\" xml:space=\"preserve\" width=\"800px\" height=\"200px\">\n",
       "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"800\" height=\"200\" x=\"0\" y=\"0\"> </rect>\n",
       "<path d=\"M 54.6309,86.1205 56.5314,119.015\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 65.9144,90.4193 67.2447,113.446\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 68.0811,67.7594 83.0581,57.9246\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 36.9517,68.3243 35.7402,67.7157\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 74.2107,136.812 85.8125,142.64\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 43.0812,137.377 37.8243,140.829\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 116.942,142.075 131.919,132.241\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 113.141,131.391 123.625,124.507\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 103.492,160.437 104.722,181.729\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 145.369,113.879 143.469,80.9846\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 163.048,131.676 163.135,131.719\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 125.789,63.1884 114.188,57.3596\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 119.103,72.1582 110.982,68.0781\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 156.919,62.6234 162.176,59.1714\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 96.5083,39.5634 95.2781,18.2715\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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       "<text x=\"39.913\" y=\"137.377\" style=\"font-size:18px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:2</tspan></text>\n",
       "<text x=\"85.8125\" y=\"160.437\" style=\"font-size:18px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:3</tspan></text>\n",
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       "<text x=\"79.8898\" y=\"57.9246\" style=\"font-size:18px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:6</tspan></text>\n",
       "<text x=\"1.44252\" y=\"68.2807\" style=\"font-size:18px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:7</tspan></text>\n",
       "<text x=\"6.6948\" y=\"159.19\" style=\"font-size:18px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:8</tspan></text>\n",
       "<text x=\"88.1034\" y=\"200.09\" style=\"font-size:18px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:9</tspan></text>\n",
       "<text x=\"158.132\" y=\"150.08\" style=\"font-size:18px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:10</tspan></text>\n",
       "<text x=\"152.88\" y=\"59.1714\" style=\"font-size:18px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:11</tspan></text>\n",
       "<text x=\"71.4711\" y=\"18.2715\" style=\"font-size:18px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:12</tspan></text>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "draw_lewis_grid([substrate], draw_atom_indices=True, draw_legend=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1e50003c-568f-4ddc-8fcf-e7f0e9e9e0e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "substrate_connector = MoleculeConnector(\n",
    "    substrate, (6, 12), \"phenyl\"\n",
    ")  # benzene becomes phenyl when bond between atoms 6,12 is cleaved"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e6c7e11-d3a2-4577-9f1f-b437ba209973",
   "metadata": {},
   "source": [
    "## Define ligands"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fcc997b-bfcc-4271-b097-dbdc9aa30de7",
   "metadata": {},
   "source": [
    "Similarly for the ligand, if you do not know which bond to cleave, write the molecule to a .xyz file and find out.\n",
    "\n",
    "Or plot it with rdkit in the Jupyter notebook.\n",
    "\n",
    "**Note**: The ligands below have an extra hydrogen  or even more atoms compared to the name that they're given."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "374842d3-b569-4eae-b3a4-7fb095b212e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ligands = [\n",
    "    MoleculeConnector(\n",
    "        from_smiles(\"CCOC(=O)C\", forcefield=\"uff\"), (3, 2), \"acetate\"\n",
    "    ),  # ethyl acetate, bond from O to C cleaved\n",
    "    MoleculeConnector(\n",
    "        from_smiles(\"O=NO\", forcefield=\"uff\"), (3, 4), \"nitrite\"\n",
    "    ),  # nitrous acid, bond from O to H cleaved\n",
    "    MoleculeConnector(\n",
    "        from_smiles(\"Cl\", forcefield=\"uff\"), (1, 2), \"chloride\"\n",
    "    ),  # hydrogen chloride, bond from Cl to H cleaved\n",
    "    MoleculeConnector(from_smiles(\"c1ccccc1\", forcefield=\"uff\"), (6, 12), \"phenyl\"),  # benzene, bond to C to H cleaved\n",
    "]\n",
    "\n",
    "ligand_molecules = [ligand.molecule for ligand in ligands]\n",
    "\n",
    "fig, axes = plt.subplots(1, len(ligands), figsize=(15, 3))\n",
    "\n",
    "for ax, ligand in zip(axes, ligands):\n",
    "    plot_molecule(ligand.molecule, ax=ax)\n",
    "    ax.set_title(ligand.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "95f0007d-9ba6-43e8-999e-d42db47bb7ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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       "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"800\" height=\"200\" x=\"0\" y=\"0\"> </rect>\n",
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       "<path d=\"M 41.3237,81.2787 43.2403,63.5603\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 78.7328,102.18 84.9057,100.524\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 84.9057,100.524 91.0787,98.8676\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 58.1203,98.5196 60.8358,101.403\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 64.3505,113.192 62.7029,130.995\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 116.834,102.395 117.764,102.985\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 117.764,102.985 118.694,103.575\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 143.956,106.201 157.84,101.428\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 124.718,117.219 122.069,123.479\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 122.069,123.479 119.421,129.74\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 129.582,119.276 126.934,125.537\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 126.934,125.537 124.286,131.798\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 185.247,96.698 199.96,96.6778\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 172.056,89.3807 173.15,73.7245\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 178.807,104.053 183.645,108.939\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<text x=\"26.8268\" y=\"95.9508\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:1</tspan></text>\n",
       "<text x=\"51.326\" y=\"113.192\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:2</tspan></text>\n",
       "<text x=\"91.0787\" y=\"102.395\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#FF0000\"><tspan>O:3</tspan></text>\n",
       "<text x=\"116.549\" y=\"118.248\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:4</tspan></text>\n",
       "<text x=\"157.84\" y=\"104.053\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:5</tspan></text>\n",
       "<text x=\"104.554\" y=\"145.441\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#FF0000\"><tspan>O:6</tspan></text>\n",
       "<text x=\"36.0857\" y=\"108.363\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:7</tspan></text>\n",
       "<text x=\"-4.61247\" y=\"103.058\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:8</tspan></text>\n",
       "<text x=\"30.3305\" y=\"63.5603\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:9</tspan></text>\n",
       "<text x=\"35.3267\" y=\"101.403\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:10</tspan></text>\n",
       "<text x=\"43.424\" y=\"145.667\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:11</tspan></text>\n",
       "<text x=\"162.76\" y=\"104.039\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:12</tspan></text>\n",
       "<text x=\"155.063\" y=\"73.7245\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:13</tspan></text>\n",
       "<text x=\"172.309\" y=\"123.611\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:14</tspan></text>\n",
       "<path d=\"M 336.072,95.3976 333.494,93.9944\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 333.494,93.9944 330.916,92.5912\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 331.864,103.13 329.286,101.726\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 329.286,101.726 326.708,100.323\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 302.846,96.4572 298.215,99.1772\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 298.215,99.1772 293.585,101.897\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 267.619,101.897 268.064,102.14\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 268.064,102.14 268.509,102.382\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<text x=\"333.249\" y=\"113.936\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#FF0000\"><tspan>O:1</tspan></text>\n",
       "<text x=\"301.631\" y=\"96.4572\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#0000FF\"><tspan>N:2</tspan></text>\n",
       "<text x=\"266.9\" y=\"116.569\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#FF0000\"><tspan>O:3</tspan></text>\n",
       "<text x=\"241.328\" y=\"102.382\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:4</tspan></text>\n",
       "<path d=\"M 504.252,100 498.749,100\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 498.749,100 493.247,100\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<text x=\"504.252\" y=\"107.336\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#00CC00\"><tspan>Cl:1</tspan></text>\n",
       "<text x=\"465.84\" y=\"107.336\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:2</tspan></text>\n",
       "<path d=\"M 663.473,88.9091 664.992,115.195\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 672.49,92.3442 673.553,110.744\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 674.221,74.237 686.189,66.3782\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 649.346,74.6885 648.378,74.2021\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 679.119,129.416 688.39,134.073\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 654.244,129.867 650.043,132.626\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 713.265,133.622 725.233,125.763\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 710.228,125.084 718.606,119.583\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 702.517,148.294 703.5,165.308\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 735.981,111.091 734.462,84.8051\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 750.108,125.312 750.177,125.346\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 720.335,70.5844 711.064,65.9267\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 714.992,77.7521 708.503,74.4917\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 745.21,70.1329 749.411,67.3745\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 696.937,51.706 695.954,34.692\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<text x=\"649.346\" y=\"88.9091\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:1</tspan></text>\n",
       "<text x=\"651.712\" y=\"129.867\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:2</tspan></text>\n",
       "<text x=\"688.39\" y=\"148.294\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:3</tspan></text>\n",
       "<text x=\"722.701\" y=\"125.763\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:4</tspan></text>\n",
       "<text x=\"720.335\" y=\"84.8051\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:5</tspan></text>\n",
       "<text x=\"683.657\" y=\"66.3782\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>C:6</tspan></text>\n",
       "<text x=\"620.971\" y=\"74.6536\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:7</tspan></text>\n",
       "<text x=\"625.168\" y=\"147.298\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:8</tspan></text>\n",
       "<text x=\"690.221\" y=\"179.98\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:9</tspan></text>\n",
       "<text x=\"746.179\" y=\"140.019\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:10</tspan></text>\n",
       "<text x=\"741.982\" y=\"67.3745\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:11</tspan></text>\n",
       "<text x=\"676.93\" y=\"34.692\" style=\"font-size:14px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>H:12</tspan></text>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "draw_lewis_grid(ligand_molecules, draw_atom_indices=True, draw_legend=False, molsPerRow=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79fd67c3-b4f0-484f-8564-d09dc74d457e",
   "metadata": {},
   "source": [
    "Above we see that cleaving the bonds from O(3)-C(2), O(3)-H(4), Cl(1)-H(2), and C(6)-H(12) will give the acetate, nitrite, chloride, and phenyl substituents, respectively."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f1251f1-6039-4ea5-80f8-a06878b5f34c",
   "metadata": {},
   "source": [
    "## Generate substituted molecules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "45a53cfe-137c-4ba4-9ce8-bee013990eb5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing phenyl--acetate.xyz\n",
      "phenyl--acetate formula: {'C': 8, 'H': 8, 'O': 2}\n",
      "Writing phenyl--nitrite.xyz\n",
      "phenyl--nitrite formula: {'C': 6, 'H': 5, 'O': 2, 'N': 1}\n",
      "Writing phenyl--chloride.xyz\n",
      "phenyl--chloride formula: {'C': 6, 'H': 5, 'Cl': 1}\n",
      "Writing phenyl--phenyl.xyz\n",
      "phenyl--phenyl formula: {'C': 12, 'H': 10}\n"
     ]
    }
   ],
   "source": [
    "mols = []\n",
    "\n",
    "for ligand in ligands:\n",
    "    mol = substitute(substrate_connector, ligand)\n",
    "    mol.properties.name = f\"{substrate_connector.name}--{ligand.name}\"\n",
    "    mols.append(mol)\n",
    "    print(f\"Writing {mol.properties.name}.xyz\")\n",
    "    mol.write(f\"{mol.properties.name}.xyz\")\n",
    "    print(f\"{mol.properties.name} formula: {mol.get_formula(as_dict=True)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "132e2d2e-e763-4d9a-ab49-f3ca5f58a552",
   "metadata": {},
   "source": [
    "## Plot 3D structures with PLAMS / ASE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "be3cdaef-d6b9-4a2d-b950-8d242dc62aa9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, len(mols), figsize=(15, 3))\n",
    "\n",
    "for ax, mol in zip(axes, mols):\n",
    "    plot_molecule(mol, ax=ax)\n",
    "    ax.set_title(mol.properties.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5d2cd1d-f97e-4c22-b2f2-9a99b26ff350",
   "metadata": {},
   "source": [
    "## Plot 2D Lewis structures with RDKit\n",
    "\n",
    "The molecules can be aligned by using a benzene template. The ``regenerate`` option regenerates the molecule with RDkit to clean up the atomic positions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bc8f6a33-91b5-4a9b-8f2c-f07ee9049551",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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       "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"800\" height=\"200\" x=\"0\" y=\"0\"> </rect>\n",
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       "<path d=\"M 80.2372,115.404 44.664,115.404\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 44.664,115.404 26.8775,84.5964\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 48.1575,107.225 35.7069,85.6602\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 26.8775,84.5964 44.664,53.7892\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 44.664,53.7892 80.2372,53.7892\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 50,60.9038 74.9012,60.9038\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<text x=\"128.059\" y=\"152.14\" style=\"font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#FF0000\"><tspan>O</tspan></text>\n",
       "<text x=\"128.059\" y=\"90.5252\" style=\"font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#FF0000\"><tspan>O</tspan></text>\n",
       "<text x=\"50.3577\" y=\"194\" style=\"font-size:12px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>phenyl--acetate</tspan></text>\n",
       "<path d=\"M 385.372,117.323 372.923,117.323\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 372.923,117.323 360.475,117.323\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 385.372,124.438 372.923,124.438\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 372.923,124.438 360.475,124.438\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 351.913,114.952 346.443,105.477\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 346.443,105.477 340.972,96.0021\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 332.012,90.0732 316.994,90.0732\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 316.994,90.0732 301.976,90.0732\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 301.976,90.0732 284.19,120.88\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 293.147,91.137 280.696,112.702\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 301.976,90.0732 284.19,59.266\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 284.19,120.88 248.617,120.88\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 248.617,120.88 230.83,90.0732\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 252.11,112.702 239.659,91.137\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 230.83,90.0732 248.617,59.266\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 248.617,59.266 284.19,59.266\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 253.953,66.3806 278.854,66.3806\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<text x=\"385.372\" y=\"126.809\" style=\"font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#FF0000\"><tspan>O</tspan></text>\n",
       "<text x=\"350.197\" y=\"126.809\" style=\"font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#0000FF\"><tspan>N</tspan></text>\n",
       "<text x=\"332.012\" y=\"96.0021\" style=\"font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#FF0000\"><tspan>O</tspan></text>\n",
       "<text x=\"256.372\" y=\"194\" style=\"font-size:12px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>phenyl--nitrite</tspan></text>\n",
       "<path d=\"M 552.287,96.9193 537.86,96.9193\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 537.86,96.9193 523.433,96.9193\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 523.433,96.9193 505.647,127.727\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 514.604,97.983 502.153,119.548\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 523.433,96.9193 505.647,66.112\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 505.647,127.727 470.073,127.727\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 470.073,127.727 452.287,96.9193\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 473.567,119.548 461.116,97.983\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 452.287,96.9193 470.073,66.112\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 470.073,66.112 505.647,66.112\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 475.409,73.2267 500.311,73.2267\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<text x=\"552.287\" y=\"102.848\" style=\"font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#00CC00\"><tspan>Cl</tspan></text>\n",
       "<text x=\"448.766\" y=\"194\" style=\"font-size:12px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>phenyl--chloride</tspan></text>\n",
       "<path d=\"M 786.957,96.9193 769.17,127.727\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 778.127,97.983 765.676,119.548\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 786.957,96.9193 769.17,66.112\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 769.17,127.727 733.597,127.727\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 733.597,127.727 715.81,96.9193\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 737.09,119.548 724.64,97.983\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 715.81,96.9193 680.237,96.9193\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 715.81,96.9193 733.597,66.112\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 680.237,96.9193 662.451,66.112\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 671.408,95.8555 658.957,74.2904\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 680.237,96.9193 662.451,127.727\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 662.451,66.112 626.877,66.112\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 626.877,66.112 609.091,96.9193\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 630.371,74.2904 617.92,95.8555\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 609.091,96.9193 626.877,127.727\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 626.877,127.727 662.451,127.727\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 632.213,120.612 657.115,120.612\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 733.597,66.112 769.17,66.112\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 738.933,73.2267 763.834,73.2267\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<text x=\"652.764\" y=\"194\" style=\"font-size:12px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#000000\"><tspan>phenyl--phenyl</tspan></text>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "draw_lewis_grid(mols, template_smiles=substrate_smiles, regenerate=True)"
   ]
  }
 ],
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