notebooks/3_2_inventor_portfolio.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9861ef9d",
   "metadata": {},
   "source": [
    "### Overview of the patent owners for each target\n",
    "\n",
    "#### Import modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ec7518da",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "from collections import defaultdict\n",
    "\n",
    "import seaborn as sns\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": "7fa92961",
   "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'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7be5f940",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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": "4de8a531",
   "metadata": {},
   "source": [
    "### Historic perspective of top 10 assignees"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbb19d69",
   "metadata": {},
   "source": [
    "Patent document based assignee ranking "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3e89ae2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_assignee_rank(df: pd.DataFrame):\n",
    "    \"\"\"Create assignee dataframe based on the no.of patent documents contributed.\"\"\"\n",
    "    \n",
    "    assignee_dict = defaultdict(set)\n",
    "    patent_dict = defaultdict(lambda: defaultdict(set))\n",
    "    \n",
    "    for patent_idx, date, assignee, org, is_aquired, person_name in tqdm(\n",
    "        df[['patent_id', 'date', 'assignee', 'organization_name', 'acquired_by', 'person']].values\n",
    "    ):\n",
    "        year = date.split(\"-\")[0]\n",
    "        \n",
    "        if pd.notna(is_aquired):\n",
    "            assignee_dict['acquired'].add(is_aquired)\n",
    "            patent_dict[is_aquired][year].add(patent_idx)\n",
    "        elif pd.notna(person_name):\n",
    "            assignee_dict['individuals'].add(assignee)\n",
    "            patent_dict[assignee][year].add(patent_idx)\n",
    "        else:\n",
    "            assert pd.notna(org), f\"Some discepancy found in {patent_idx}!\"\n",
    "            assignee_dict['organisation'].add(org)\n",
    "            patent_dict[org][year].add(patent_idx)\n",
    "        \n",
    "    patent_data = []\n",
    "    for assignee_name, year_based_dict in patent_dict.items():        \n",
    "        # Get total patent count\n",
    "        all_patents = set()\n",
    "        for patents in year_based_dict.values():\n",
    "            all_patents.update(patents)\n",
    "        \n",
    "        for year, year_patents in year_based_dict.items():\n",
    "            patent_data.append({\n",
    "                'assignee_name': assignee_name,\n",
    "                'total_patent_count': len(all_patents),\n",
    "            })\n",
    "        \n",
    "    return pd.DataFrame(patent_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0c90742d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 17375/17375 [00:00<00:00, 265473.88it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['Pfizer',\n",
       " 'Sanofi',\n",
       " 'Ipsen',\n",
       " 'Johnson and Johnson',\n",
       " 'Takeda Pharmaceutical Company',\n",
       " 'GlaxoSmithKline',\n",
       " 'Ardelyx',\n",
       " 'Sage Therapeutics',\n",
       " 'Cleave Therapeutics',\n",
       " 'Reset Therapeutics']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rare_disease_assignee_rank = create_assignee_rank(rare_disease_data)\n",
    "rare_disease_assignee_rank.sort_values(by=['total_patent_count'], ascending=False, inplace=True)\n",
    "\n",
    "# Get top 10 assignees and sort by year\n",
    "top_10_rare_disease_assignee = rare_disease_assignee_rank[\n",
    "    'assignee_name'\n",
    "].value_counts().head(10).index.to_list()\n",
    "\n",
    "top_10_rare_disease_assignee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9d8da3cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 75616/75616 [00:00<00:00, 267783.84it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['Pfizer',\n",
       " 'Johnson and Johnson',\n",
       " 'Amgen Inc.',\n",
       " 'Bayer',\n",
       " 'Takeda Pharmaceutical Company',\n",
       " 'Bristol Myers Squibb',\n",
       " 'Merck',\n",
       " 'Novartis',\n",
       " 'Roche',\n",
       " 'AstraZeneca']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alzheimers_disease_assignee_rank = create_assignee_rank(alzheimer_disease_data)\n",
    "alzheimers_disease_assignee_rank.sort_values(by='total_patent_count', ascending=False, inplace=True)\n",
    "\n",
    "# Get top 10 assignees and sort by year\n",
    "top_10_alzheimer_disease_assignee = alzheimers_disease_assignee_rank[\n",
    "    'assignee_name'\n",
    "].value_counts().head(10).index.to_list()\n",
    "top_10_alzheimer_disease_assignee"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ca62a65",
   "metadata": {},
   "source": [
    "### Filtering basic data with top 10 inventors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e90b17b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2839, 10)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_rare_disease_inventors = rare_disease_data[\n",
    "    rare_disease_data['organization_name'].isin(top_10_rare_disease_assignee)\n",
    "]\n",
    "top_rare_disease_inventors.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "340a05e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19620, 10)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_alzheimer_disease_inventors = alzheimer_disease_data[\n",
    "    alzheimer_disease_data['organization_name'].isin(top_10_alzheimer_disease_assignee)\n",
    "]\n",
    "top_alzheimer_disease_inventors.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04c5cb95",
   "metadata": {},
   "source": [
    "### Creating target wise matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "34acd37c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_target_matrix(df: pd.DataFrame, cutoff:int = 2):\n",
    "    \"\"\"Creating matrix of targets patented by inventors.\"\"\"\n",
    "    \n",
    "    data = pd.DataFrame()\n",
    "    \n",
    "    for assignee_name in tqdm(df['organization_name'].unique()):\n",
    "        tmp_df = df[df['organization_name'] == assignee_name]\n",
    "        target_dict = defaultdict(int)\n",
    "        \n",
    "        if assignee_name == 'Takeda Pharmaceutical Company':\n",
    "            assignee_name = 'Takeda'\n",
    "        elif assignee_name == 'Bristol Myers Squibb':\n",
    "            assignee_name = 'BMS'\n",
    "        \n",
    "        target_dict['Inventor'] = assignee_name\n",
    "        \n",
    "        for genes in tmp_df['genes']:\n",
    "            for gene in genes.split(', '):\n",
    "                target_dict[gene] += 1\n",
    "        \n",
    "        \n",
    "        targ_df = pd.DataFrame([target_dict])\n",
    "        data = pd.concat([data, targ_df], ignore_index=True)\n",
    "        \n",
    "    data.fillna(0, inplace=True)\n",
    "    data.set_index('Inventor', inplace=True)\n",
    "    \n",
    "    # Drop things below 10 patents\n",
    "    k = data.sum(axis=0) > 10\n",
    "    k = k[k]\n",
    "    data = data[k.index]\n",
    "    \n",
    "    # Keep columns with targets patented by 2 or more inventors\n",
    "    cols_to_keep = []\n",
    "    for column in data.columns:\n",
    "        val_dict = data[column].value_counts().to_dict()\n",
    "        if len(val_dict) >= cutoff:\n",
    "            cols_to_keep.append(column)\n",
    "\n",
    "    data = data[cols_to_keep]\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "db5feca0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 312.10it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>IL6</th>\n",
       "      <th>NR3C1</th>\n",
       "      <th>PYGL</th>\n",
       "      <th>STS</th>\n",
       "      <th>DAO</th>\n",
       "      <th>NOD2</th>\n",
       "      <th>SLC9A3</th>\n",
       "      <th>PYGM</th>\n",
       "      <th>GABRD</th>\n",
       "      <th>PER2</th>\n",
       "      <th>VCP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inventor</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pfizer</th>\n",
       "      <td>21.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>440.0</td>\n",
       "      <td>417.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GlaxoSmithKline</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  IL6  NR3C1   PYGL    STS    DAO  NOD2  SLC9A3  PYGM  GABRD  \\\n",
       "Inventor                                                                       \n",
       "Pfizer           21.0   21.0   11.0  440.0  417.0   0.0     0.0   0.0    0.0   \n",
       "GlaxoSmithKline   0.0    0.0  128.0    0.0    0.0  13.0     0.0   0.0    0.0   \n",
       "\n",
       "                 PER2  VCP  \n",
       "Inventor                    \n",
       "Pfizer            0.0  0.0  \n",
       "GlaxoSmithKline   0.0  0.0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rare_disease_portfolio = get_target_matrix(top_rare_disease_inventors, cutoff=2)\n",
    "rare_disease_portfolio.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a3f4c64a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 31.56it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>KRAS</th>\n",
       "      <th>DYRK1A</th>\n",
       "      <th>HIPK2</th>\n",
       "      <th>DAPK3</th>\n",
       "      <th>HIPK4</th>\n",
       "      <th>TTK</th>\n",
       "      <th>LRRK2</th>\n",
       "      <th>ROCK2</th>\n",
       "      <th>TAOK3</th>\n",
       "      <th>TAOK1</th>\n",
       "      <th>...</th>\n",
       "      <th>PSMB10</th>\n",
       "      <th>PSMA3</th>\n",
       "      <th>PSMB2</th>\n",
       "      <th>PSMB11</th>\n",
       "      <th>PSMA2</th>\n",
       "      <th>PSMB4</th>\n",
       "      <th>PSMB8</th>\n",
       "      <th>PSMA8</th>\n",
       "      <th>PSMB6</th>\n",
       "      <th>PSMB1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inventor</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Roche</th>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Merck</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 187 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          KRAS  DYRK1A  HIPK2  DAPK3  HIPK4  TTK  LRRK2  ROCK2  TAOK3  TAOK1  \\\n",
       "Inventor                                                                       \n",
       "Roche      1.0     7.0    1.0    1.0    1.0  6.0  141.0   10.0    6.0    6.0   \n",
       "Merck      0.0     1.0    0.0    0.0    0.0  0.0   28.0    0.0    0.0    0.0   \n",
       "\n",
       "          ...  PSMB10  PSMA3  PSMB2  PSMB11  PSMA2  PSMB4  PSMB8  PSMA8  \\\n",
       "Inventor  ...                                                             \n",
       "Roche     ...     0.0    0.0    0.0     0.0    0.0    0.0    0.0    0.0   \n",
       "Merck     ...     0.0    0.0    0.0     0.0    0.0    0.0    0.0    0.0   \n",
       "\n",
       "          PSMB6  PSMB1  \n",
       "Inventor                \n",
       "Roche       0.0    0.0  \n",
       "Merck       0.0    0.0  \n",
       "\n",
       "[2 rows x 187 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alzheimer_disease_portfolio = get_target_matrix(top_alzheimer_disease_inventors, cutoff=3)\n",
    "alzheimer_disease_portfolio.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4e4bda4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TTK</th>\n",
       "      <th>LRRK2</th>\n",
       "      <th>ROCK2</th>\n",
       "      <th>CYP11B2</th>\n",
       "      <th>CYP11B1</th>\n",
       "      <th>F10</th>\n",
       "      <th>MAP4K4</th>\n",
       "      <th>DGAT1</th>\n",
       "      <th>CYP2D6</th>\n",
       "      <th>HRH1</th>\n",
       "      <th>...</th>\n",
       "      <th>F11</th>\n",
       "      <th>IGF1R</th>\n",
       "      <th>SCD</th>\n",
       "      <th>INSR</th>\n",
       "      <th>PTK2B</th>\n",
       "      <th>LIPG</th>\n",
       "      <th>SMO</th>\n",
       "      <th>LPAR5</th>\n",
       "      <th>KHK</th>\n",
       "      <th>GCG</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inventor</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Roche</th>\n",
       "      <td>6.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>364.0</td>\n",
       "      <td>227.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Merck</th>\n",
       "      <td>0.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          TTK  LRRK2  ROCK2  CYP11B2  CYP11B1   F10  MAP4K4  DGAT1  CYP2D6  \\\n",
       "Inventor                                                                     \n",
       "Roche     6.0  141.0   10.0    364.0    227.0  76.0    56.0   11.0    96.0   \n",
       "Merck     0.0   28.0    0.0     88.0     64.0  32.0     2.0    2.0    10.0   \n",
       "\n",
       "          HRH1  ...  F11  IGF1R   SCD  INSR  PTK2B  LIPG  SMO  LPAR5  KHK  GCG  \n",
       "Inventor        ...                                                             \n",
       "Roche      4.0  ...  0.0    0.0   0.0   0.0    0.0   0.0  0.0    0.0  0.0  0.0  \n",
       "Merck     10.0  ...  1.0    1.0  39.0   0.0    0.0   0.0  0.0    0.0  0.0  0.0  \n",
       "\n",
       "[2 rows x 30 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Keep only top 30 targets\n",
    "top_30_patented_targets = alzheimer_disease_portfolio.sum(axis=0).sort_values(ascending=False).head(30)\n",
    "\n",
    "alzheimer_disease_portfolio = alzheimer_disease_portfolio[\n",
    "    alzheimer_disease_portfolio.columns[\n",
    "        alzheimer_disease_portfolio.columns.isin(top_30_patented_targets.index)\n",
    "    ]\n",
    "]\n",
    "\n",
    "alzheimer_disease_portfolio.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86307124",
   "metadata": {},
   "source": [
    "### Visualisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e155bf84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 4000x2000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.clustermap(\n",
    "    rare_disease_portfolio, \n",
    "    col_cluster=False,\n",
    "    figsize=(10, 5),\n",
    "    metric=\"correlation\",\n",
    "    vmin=0, vmax=100,\n",
    "    center=0,\n",
    "    cmap='vlag',\n",
    ")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(\n",
    "    f'{FIG_DIR}/figure_5.png',\n",
    "    dpi=400,\n",
    "    bbox_inches='tight', \n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5e6d914b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 4800x2000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.clustermap(\n",
    "    alzheimer_disease_portfolio, \n",
    "    col_cluster=False,\n",
    "    figsize=(12, 5),\n",
    "    metric=\"correlation\",\n",
    "    vmin=0, vmax=100, \n",
    "    center=0,\n",
    "    cmap='vlag'\n",
    ")\n",
    "plt.tight_layout()\n",
    "plt.savefig(\n",
    "    f'{FIG_DIR}/figure_8.png',\n",
    "    dpi=400,\n",
    "    bbox_inches='tight', \n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c77d4b2",
   "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
}