notebooks/3_4_clinical_phase_overview.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9861ef9d",
   "metadata": {},
   "source": [
    "### Overview of compounds clinical phase\n",
    "\n",
    "#### Import modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ec7518da",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from collections import defaultdict\n",
    "\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "61443f12",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b550e79f",
   "metadata": {},
   "outputs": [],
   "source": [
    "mpl.rcParams['figure.dpi'] = 400"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96020194",
   "metadata": {},
   "source": [
    "### Loading data files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bed58e6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_DIR = '../data/patent_dumps'\n",
    "FIG_DIR = '../data/figures'\n",
    "MAPPER_DIR = '../data/mapper'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7be5f940",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chembl</th>\n",
       "      <th>surechembl</th>\n",
       "      <th>patent_id</th>\n",
       "      <th>date</th>\n",
       "      <th>ipc</th>\n",
       "      <th>assignee</th>\n",
       "      <th>organization_name</th>\n",
       "      <th>acquired_by</th>\n",
       "      <th>person</th>\n",
       "      <th>genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CHEMBL3137316</td>\n",
       "      <td>SCHEMBL1707427</td>\n",
       "      <td>US-20140316139-A1</td>\n",
       "      <td>2014-10-23</td>\n",
       "      <td>C07D 213/89</td>\n",
       "      <td>PFIZER</td>\n",
       "      <td>Pfizer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IL6, NR3C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CHEMBL3137316</td>\n",
       "      <td>SCHEMBL1707427</td>\n",
       "      <td>US-20140142316-A1</td>\n",
       "      <td>2014-05-22</td>\n",
       "      <td>C07D 213/89</td>\n",
       "      <td>PFIZER</td>\n",
       "      <td>Pfizer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IL6, NR3C1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          chembl      surechembl          patent_id        date          ipc  \\\n",
       "0  CHEMBL3137316  SCHEMBL1707427  US-20140316139-A1  2014-10-23  C07D 213/89   \n",
       "1  CHEMBL3137316  SCHEMBL1707427  US-20140142316-A1  2014-05-22  C07D 213/89   \n",
       "\n",
       "  assignee organization_name acquired_by person       genes  \n",
       "0   PFIZER            Pfizer         NaN    NaN  IL6, NR3C1  \n",
       "1   PFIZER            Pfizer         NaN    NaN  IL6, NR3C1  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rare_disease_data = pd.read_csv(f'{DATA_DIR}/orphanet_gene_enumerated_patent_data.tsv', sep='\\t')\n",
    "rare_disease_data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b130a7b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chembl</th>\n",
       "      <th>surechembl</th>\n",
       "      <th>patent_id</th>\n",
       "      <th>date</th>\n",
       "      <th>ipc</th>\n",
       "      <th>assignee</th>\n",
       "      <th>organization_name</th>\n",
       "      <th>acquired_by</th>\n",
       "      <th>person</th>\n",
       "      <th>genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CHEMBL1460470</td>\n",
       "      <td>SCHEMBL14919618</td>\n",
       "      <td>US-20140256767-A1</td>\n",
       "      <td>2014-09-11</td>\n",
       "      <td>C07D 401/14</td>\n",
       "      <td>UNIV RUTGERS</td>\n",
       "      <td>Rutgers University</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DUSP3, PTPN7, POLB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CHEMBL1460470</td>\n",
       "      <td>SCHEMBL14919618</td>\n",
       "      <td>US-20180148408-A1</td>\n",
       "      <td>2018-05-31</td>\n",
       "      <td>C07D 209/48</td>\n",
       "      <td>UNIV RUTGERS</td>\n",
       "      <td>Rutgers University</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DUSP3, PTPN7, POLB</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          chembl       surechembl          patent_id        date          ipc  \\\n",
       "0  CHEMBL1460470  SCHEMBL14919618  US-20140256767-A1  2014-09-11  C07D 401/14   \n",
       "1  CHEMBL1460470  SCHEMBL14919618  US-20180148408-A1  2018-05-31  C07D 209/48   \n",
       "\n",
       "       assignee   organization_name acquired_by person               genes  \n",
       "0  UNIV RUTGERS  Rutgers University         NaN    NaN  DUSP3, PTPN7, POLB  \n",
       "1  UNIV RUTGERS  Rutgers University         NaN    NaN  DUSP3, PTPN7, POLB  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alzheimer_disease_data = pd.read_csv(f'{DATA_DIR}/ad_gene_enumerated_patent_data.tsv', sep='\\t')\n",
    "alzheimer_disease_data.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "238dc223",
   "metadata": {},
   "source": [
    "Drop patents with no assignee names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6391a0d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((17506, 10), (76321, 10))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rare_disease_data.shape, alzheimer_disease_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "02ca7c89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17375, 10)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rare_disease_data = rare_disease_data[~rare_disease_data['assignee'].isna()]\n",
    "rare_disease_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "06689a5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(75616, 10)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alzheimer_disease_data = alzheimer_disease_data[~alzheimer_disease_data['assignee'].isna()]\n",
    "alzheimer_disease_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "169a9d98",
   "metadata": {},
   "source": [
    "### Load compound phase dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "84dc55cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rare_disease_phase_dict = pd.read_csv(\n",
    "    f'{MAPPER_DIR}/orphanet_chemical_max_phase.tsv', sep='\\t',\n",
    "    index_col='chembl_id'\n",
    ").to_dict()['max_phase']\n",
    "len(rare_disease_phase_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "24f01977",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "216"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alzheimer_disease_phase_dict = pd.read_csv(\n",
    "    f'{MAPPER_DIR}/ad_chemical_max_phase.tsv', sep='\\t',\n",
    "    index_col='chembl_id'\n",
    ").to_dict()['max_phase']\n",
    "len(alzheimer_disease_phase_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58f420b2",
   "metadata": {},
   "source": [
    "### Mapping compound phases to compound list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1a17f552",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_compound_phases(df: pd.DataFrame, phase_dict: dict):\n",
    "    \"\"\"Map the compounds to their respetive clinical phases based on ChEMBL data.\"\"\"\n",
    "    \n",
    "    phase_data = defaultdict(set)\n",
    "    \n",
    "    for chemical in df['chembl'].values:\n",
    "        phase = phase_dict.get(chemical, 0)\n",
    "\n",
    "        if phase == 0:\n",
    "            phase_data['Preclinical'].add(chemical)\n",
    "        elif phase == 1:\n",
    "            phase_data['Phase 1'].add(chemical)\n",
    "        elif phase == 2:\n",
    "            phase_data['Phase 2'].add(chemical)\n",
    "        elif phase == 3:\n",
    "            phase_data['Phase 3'].add(chemical)\n",
    "        elif phase == 4:\n",
    "            phase_data['Approved'].add(chemical)\n",
    "            \n",
    "    phase_data = [\n",
    "        {\n",
    "            'type': i, \n",
    "            'count': len(j),\n",
    "            'compounds': ','.join(j)\n",
    "        }\n",
    "        for i, j in phase_data.items()\n",
    "    ]\n",
    "    return pd.DataFrame(phase_data)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0c90742d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>count</th>\n",
       "      <th>compounds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Phase 2</td>\n",
       "      <td>3</td>\n",
       "      <td>CHEMBL3137316,CHEMBL286738,CHEMBL2338801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Preclinical</td>\n",
       "      <td>581</td>\n",
       "      <td>CHEMBL3613922,CHEMBL3946312,CHEMBL3746037,CHEM...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Phase 1</td>\n",
       "      <td>1</td>\n",
       "      <td>CHEMBL3747513</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          type  count                                          compounds\n",
       "0      Phase 2      3           CHEMBL3137316,CHEMBL286738,CHEMBL2338801\n",
       "1  Preclinical    581  CHEMBL3613922,CHEMBL3946312,CHEMBL3746037,CHEM...\n",
       "2      Phase 1      1                                      CHEMBL3747513"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rare_disease_chem_phases = get_compound_phases(\n",
    "    rare_disease_data, rare_disease_phase_dict\n",
    ")\n",
    "rare_disease_chem_phases.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9d8da3cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>count</th>\n",
       "      <th>compounds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Preclinical</td>\n",
       "      <td>22715</td>\n",
       "      <td>CHEMBL4080497,CHEMBL2261742,CHEMBL3647360,CHEM...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Approved</td>\n",
       "      <td>57</td>\n",
       "      <td>CHEMBL18442,CHEMBL1269025,CHEMBL1770248,CHEMBL...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Phase 3</td>\n",
       "      <td>34</td>\n",
       "      <td>CHEMBL46618,CHEMBL2087361,CHEMBL301742,CHEMBL2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Phase 2</td>\n",
       "      <td>79</td>\n",
       "      <td>CHEMBL4592045,CHEMBL206834,CHEMBL4175981,CHEMB...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Phase 1</td>\n",
       "      <td>45</td>\n",
       "      <td>CHEMBL598797,CHEMBL2386889,CHEMBL3696475,CHEMB...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          type  count                                          compounds\n",
       "0  Preclinical  22715  CHEMBL4080497,CHEMBL2261742,CHEMBL3647360,CHEM...\n",
       "1     Approved     57  CHEMBL18442,CHEMBL1269025,CHEMBL1770248,CHEMBL...\n",
       "2      Phase 3     34  CHEMBL46618,CHEMBL2087361,CHEMBL301742,CHEMBL2...\n",
       "3      Phase 2     79  CHEMBL4592045,CHEMBL206834,CHEMBL4175981,CHEMB...\n",
       "4      Phase 1     45  CHEMBL598797,CHEMBL2386889,CHEMBL3696475,CHEMB..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alzheimer_disease_chem_phases = get_compound_phases(\n",
    "    alzheimer_disease_data, alzheimer_disease_phase_dict\n",
    ")\n",
    "alzheimer_disease_chem_phases.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f6db8ebe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x2000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5, 5))\n",
    "\n",
    "plt.pie(\n",
    "    rare_disease_chem_phases['count'].tolist(),\n",
    "    labels=['']*3,\n",
    "    explode=(0, 0, 0.5), startangle=90,\n",
    "    textprops={'fontsize': 10}\n",
    ")\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig(\n",
    "    f'{FIG_DIR}/supplementary_figure_4A.png',\n",
    "    dpi=400,\n",
    "    bbox_inches='tight', \n",
    ")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d2291d2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x2000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5, 5))\n",
    "\n",
    "plt.pie(\n",
    "    alzheimer_disease_chem_phases['count'].tolist(),\n",
    "    labels=['']*5,\n",
    "    startangle=90,\n",
    "    textprops={'fontsize': 5}, explode=(0, 0.2, 0.3, 0.5, 1)\n",
    ")\n",
    "\n",
    "plt.savefig(\n",
    "    f'{FIG_DIR}/supplementary_figure_4B.png',\n",
    "    dpi=400,\n",
    "    bbox_inches='tight', \n",
    ")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8d6e0830",
   "metadata": {},
   "outputs": [],
   "source": [
    "rare_disease_chem_phases.to_csv('rare_disease_phase_info.tsv', sep='\\t', index=False)\n",
    "alzheimer_disease_chem_phases.to_csv('ad_phase_info.tsv', sep='\\t', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3c2a626",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "patent_kg",
   "language": "python",
   "name": "patent_kg"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}