001. NPS unique compounds MCS Hierarchical clustering - Class Label.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "6b85874a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# RDKit tools\n",
    "from rdkit import Chem\n",
    "from rdkit.Chem import AllChem\n",
    "from rdkit.Chem import MACCSkeys\n",
    "from rdkit.Chem import rdFMCS\n",
    "\n",
    "# scipy hierarchy clustering\n",
    "from scipy.cluster.hierarchy import dendrogram, linkage\n",
    "from scipy.cluster.hierarchy import fcluster, cophenet\n",
    "import scipy.cluster.hierarchy as sch\n",
    "from scipy.spatial.distance import pdist\n",
    "\n",
    "# SKlearn metrics\n",
    "from sklearn.metrics import silhouette_samples, silhouette_score, adjusted_rand_score, adjusted_mutual_info_score\n",
    "from sklearn.neighbors import NearestCentroid\n",
    "\n",
    "# Making plots\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "e3d32c1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = '/Users/hek/Research/Cheminformatics/Project_1_NPS/Stimulant vs. Hallucinogens/ChEMBL Dataset ML results/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "17109e0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of unique NPS compounds: 189\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv(path+\"Drugs Raman or SERS in literature _ Paper 1.csv\")\n",
    "print(\"Total number of unique NPS compounds:\", df.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "dc7ada0a",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Other name</th>\n",
       "      <th>Formula</th>\n",
       "      <th>MW</th>\n",
       "      <th>CAS</th>\n",
       "      <th>PubChem CID</th>\n",
       "      <th>RotBondCount</th>\n",
       "      <th>Conformers</th>\n",
       "      <th>Canonical SMILES</th>\n",
       "      <th>Pharm class</th>\n",
       "      <th>Pharm target</th>\n",
       "      <th>Pharm class label</th>\n",
       "      <th>Chem core</th>\n",
       "      <th>InChI Key</th>\n",
       "      <th>StdInChI</th>\n",
       "      <th>canonical_smiles</th>\n",
       "      <th>maccsfp</th>\n",
       "      <th>morganfp</th>\n",
       "      <th>RF_morgan</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Heroin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C21H23NO5</td>\n",
       "      <td>369.40</td>\n",
       "      <td>561-27-3</td>\n",
       "      <td>5462328</td>\n",
       "      <td>4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>CC(=O)OC1C=CC2C3CC4=C5C2(C1OC5=C(C=C4)OC(=O)C)...</td>\n",
       "      <td>Depressants_Opioids</td>\n",
       "      <td>μ-opioid receptor</td>\n",
       "      <td>1</td>\n",
       "      <td>Alkaloid</td>\n",
       "      <td>GVGLGOZIDCSQPN-PVHGPHFFSA-N</td>\n",
       "      <td>InChI=1S/C21H23NO5/c1-11(23)25-16-6-4-13-10-15...</td>\n",
       "      <td>CC(=O)Oc1ccc2c3c1OC1C(OC(C)=O)C=CC4C(C2)N(C)CC...</td>\n",
       "      <td>0000000000000000000000000000000000000000000000...</td>\n",
       "      <td>0000000000010001000000000000000001001000000000...</td>\n",
       "      <td>0000000000000000000000000000000000000000000000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Morphine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C17H19NO3</td>\n",
       "      <td>285.34</td>\n",
       "      <td>57-27-2</td>\n",
       "      <td>5288826</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>CN1CCC23C4C1CC5=C2C(=C(C=C5)O)OC3C(C=C4)O</td>\n",
       "      <td>Depressants_Opioids</td>\n",
       "      <td>μ-opioid receptor</td>\n",
       "      <td>1</td>\n",
       "      <td>Alkaloid</td>\n",
       "      <td>BQJCRHHNABKAKU-KBQPJGBKSA-N</td>\n",
       "      <td>InChI=1S/C17H19NO3/c1-18-7-6-17-10-3-5-13(20)1...</td>\n",
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       "      <td>0000000000000000000000000000000000000000000000...</td>\n",
       "      <td>0000000000000001000000000000000001001000000000...</td>\n",
       "      <td>0000000000000000000000000000000000000000000000...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "       Name Other name    Formula      MW       CAS  PubChem CID  \\\n",
       "0    Heroin        NaN  C21H23NO5  369.40  561-27-3      5462328   \n",
       "1  Morphine        NaN  C17H19NO3  285.34   57-27-2      5288826   \n",
       "\n",
       "   RotBondCount  Conformers  \\\n",
       "0             4         9.0   \n",
       "1             0         1.0   \n",
       "\n",
       "                                    Canonical SMILES          Pharm class  \\\n",
       "0  CC(=O)OC1C=CC2C3CC4=C5C2(C1OC5=C(C=C4)OC(=O)C)...  Depressants_Opioids   \n",
       "1          CN1CCC23C4C1CC5=C2C(=C(C=C5)O)OC3C(C=C4)O  Depressants_Opioids   \n",
       "\n",
       "        Pharm target  Pharm class label Chem core  \\\n",
       "0  μ-opioid receptor                  1  Alkaloid   \n",
       "1  μ-opioid receptor                  1  Alkaloid   \n",
       "\n",
       "                     InChI Key  \\\n",
       "0  GVGLGOZIDCSQPN-PVHGPHFFSA-N   \n",
       "1  BQJCRHHNABKAKU-KBQPJGBKSA-N   \n",
       "\n",
       "                                            StdInChI  \\\n",
       "0  InChI=1S/C21H23NO5/c1-11(23)25-16-6-4-13-10-15...   \n",
       "1  InChI=1S/C17H19NO3/c1-18-7-6-17-10-3-5-13(20)1...   \n",
       "\n",
       "                                    canonical_smiles  \\\n",
       "0  CC(=O)Oc1ccc2c3c1OC1C(OC(C)=O)C=CC4C(C2)N(C)CC...   \n",
       "1               CN1CCC23c4c5ccc(O)c4OC2C(O)C=CC3C1C5   \n",
       "\n",
       "                                             maccsfp  \\\n",
       "0  0000000000000000000000000000000000000000000000...   \n",
       "1  0000000000000000000000000000000000000000000000...   \n",
       "\n",
       "                                            morganfp  \\\n",
       "0  0000000000010001000000000000000001001000000000...   \n",
       "1  0000000000000001000000000000000001001000000000...   \n",
       "\n",
       "                                           RF_morgan  \n",
       "0  0000000000000000000000000000000000000000000000...  \n",
       "1  0000000000000000000000000000000000000000000000...  "
      ]
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     "execution_count": 124,
     "metadata": {},
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   ],
   "source": [
    "df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad5d4607",
   "metadata": {},
   "source": [
    "##### Pharm class label assigned according to primarity mechanism of action.\n",
    "##### This script is to assign common core structure based class label."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "11a19884",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Depressants_Opioids' 'Stimulants' 'Cannabinoids'\n",
      " 'Serotonergic psychedelics' 'Depressants_Benzodiazepines']\n"
     ]
    }
   ],
   "source": [
    "print(df[\"Pharm class\"].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "915b52bd",
   "metadata": {},
   "source": [
    "### Calculate Affinity matrix for clustering"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf103370",
   "metadata": {},
   "source": [
    "#### I. Calculate MCS Tanimoto\n",
    "* Without include H atoms\n",
    "* Add H atoms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "cdfcc708",
   "metadata": {},
   "outputs": [],
   "source": [
    "def tanimoto_mcs(smi1,smi2):\n",
    "    #reading smiles of two molecules and create molecule\n",
    "    m1 = Chem.MolFromSmiles(smi1)\n",
    "    m2 = Chem.MolFromSmiles(smi2)\n",
    "    mols = [m1, m2]\n",
    "    \n",
    "    #number heavy atoms of both molecules\n",
    "    a = m1.GetNumAtoms()\n",
    "    b = m2.GetNumAtoms()\n",
    "    #print(a,b)\n",
    "    #find heavy atoms in MCS\n",
    "    r = rdFMCS.FindMCS(mols,ringMatchesRingOnly=True,bondCompare=Chem.rdFMCS.BondCompare.CompareAny,\n",
    "                   atomCompare=rdFMCS.AtomCompare.CompareAny,timeout=1)\n",
    "    c = r.numAtoms\n",
    "    #print(c)\n",
    "    if (c < 0):\n",
    "        c = 0\n",
    "    mcs_tani = c/(a+b-c)\n",
    "    #get MCS smart\n",
    "    #mcs_sm = r.smartsString\n",
    "    #print(mcs_sm)\n",
    "    return mcs_tani"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "e2f5354c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def tanimoto_mcs_withH(smi1,smi2):\n",
    "    #reading smiles of two molecules and create molecule\n",
    "    m1 = Chem.MolFromSmiles(smi1)\n",
    "    m2 = Chem.MolFromSmiles(smi2)\n",
    "    \n",
    "    m1H = Chem.AddHs(m1)\n",
    "    m2H = Chem.AddHs(m2)\n",
    "    mols = [m1H, m2H]\n",
    "\n",
    "    #number heavy atoms of both molecules\n",
    "    a = m1H.GetNumAtoms()\n",
    "    b = m2H.GetNumAtoms()\n",
    "    #print(a,b)\n",
    "    #find heavy atoms in MCS\n",
    "    r = rdFMCS.FindMCS(mols,ringMatchesRingOnly=True,bondCompare=Chem.rdFMCS.BondCompare.CompareAny,\n",
    "                   atomCompare=rdFMCS.AtomCompare.CompareAny,timeout=1)\n",
    "    c = r.numAtoms\n",
    "    #print(c)\n",
    "    if (c < 0):\n",
    "        c = 0\n",
    "    mcs_tani = c/(a+b-c)\n",
    "    #get MCS smart\n",
    "    #mcs_sm = r.smartsString\n",
    "    #print(mcs_sm)\n",
    "    return mcs_tani"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77af3b60",
   "metadata": {},
   "source": [
    "#### III. Tanimoto matrix for hierarchical clustering and heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "6feac944",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_len = df.shape[0]\n",
    "test_cid_1 = list(df['Name'])\n",
    "test_cid_1 = test_cid_1[0:list_len]\n",
    "test_cid_2 = test_cid_1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23d67eef",
   "metadata": {},
   "source": [
    "##### MCS Tanimoto \n",
    "\n",
    "* Heavy atom only: tanimoto_mcs(smi1,smi2)\n",
    "* All atoms: tanimoto_mcs_withH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "d2c4fc6a",
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    "scrolled": true
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   "source": [
    "df_cid = pd.DataFrame(0,index=test_cid_1,columns=test_cid_2)\n",
    "\n",
    "df_pair = pd.DataFrame(0,index=test_cid_1,columns=['Pair','MaxValue'])\n",
    "\n",
    "for i,cid_1 in enumerate(test_cid_1):\n",
    "    print(i)\n",
    "    if i%10 == 0:\n",
    "        print(i*100/df.shape[0],'%')\n",
    "    for j,cid_2 in enumerate(test_cid_2):\n",
    "        #print(j)\n",
    "        df_cid.loc[cid_1,cid_2] = tanimoto_mcs(df.loc[i,'canonical_smiles'], df.loc[j,'canonical_smiles'])\n",
    "    tmpInd = df_cid.loc[cid_1,cid_1 != df_cid.columns].idxmax()\n",
    "    tmpValue = df_cid.loc[cid_1,tmpInd]\n",
    "    df_pair.loc[cid_1,'Pair'] = tmpInd\n",
    "    df_pair.loc[cid_1,'MaxValue'] = tmpValue\n",
    "    \n",
    "df_pair = df_pair.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "6b028fb9",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Heroin</th>\n",
       "      <th>Morphine</th>\n",
       "      <th>Acetylcodeine</th>\n",
       "      <th>Codeine</th>\n",
       "      <th>Hydrocodone</th>\n",
       "      <th>Oxycodone</th>\n",
       "      <th>Hydromorphone</th>\n",
       "      <th>Oxymorphone</th>\n",
       "      <th>Naltrexone</th>\n",
       "      <th>Naloxone</th>\n",
       "      <th>...</th>\n",
       "      <th>Clobazam</th>\n",
       "      <th>Nordazepam</th>\n",
       "      <th>Fludiazepam</th>\n",
       "      <th>Flubromazepam</th>\n",
       "      <th>Phenazepam</th>\n",
       "      <th>Meclonazepam</th>\n",
       "      <th>Clonazolam</th>\n",
       "      <th>Pyrazolam</th>\n",
       "      <th>Flubromazolam</th>\n",
       "      <th>Etizolam</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Heroin</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.777778</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>0.814815</td>\n",
       "      <td>0.814815</td>\n",
       "      <td>0.785714</td>\n",
       "      <td>0.777778</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.677419</td>\n",
       "      <td>0.758621</td>\n",
       "      <td>...</td>\n",
       "      <td>0.411765</td>\n",
       "      <td>0.393939</td>\n",
       "      <td>0.411765</td>\n",
       "      <td>0.382353</td>\n",
       "      <td>0.382353</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.485714</td>\n",
       "      <td>0.484848</td>\n",
       "      <td>0.470588</td>\n",
       "      <td>0.470588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morphine</th>\n",
       "      <td>0.777778</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.840000</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>0.913043</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>0.840000</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.481481</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.464286</td>\n",
       "      <td>0.464286</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>0.592593</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.517241</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 189 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Heroin  Morphine  Acetylcodeine   Codeine  Hydrocodone  Oxycodone  \\\n",
       "Heroin    1.000000  0.777778       0.925926  0.814815     0.814815   0.785714   \n",
       "Morphine  0.777778  1.000000       0.840000  0.954545     0.954545   0.913043   \n",
       "\n",
       "          Hydromorphone  Oxymorphone  Naltrexone  Naloxone  ...  Clobazam  \\\n",
       "Heroin         0.777778     0.750000    0.677419  0.758621  ...  0.411765   \n",
       "Morphine       1.000000     0.954545    0.840000  0.875000  ...  0.500000   \n",
       "\n",
       "          Nordazepam  Fludiazepam  Flubromazepam  Phenazepam  Meclonazepam  \\\n",
       "Heroin      0.393939     0.411765       0.382353    0.382353      0.428571   \n",
       "Morphine    0.481481     0.500000       0.464286    0.464286      0.466667   \n",
       "\n",
       "          Clonazolam  Pyrazolam  Flubromazolam  Etizolam  \n",
       "Heroin      0.485714   0.484848       0.470588  0.470588  \n",
       "Morphine    0.533333   0.592593       0.571429  0.517241  \n",
       "\n",
       "[2 rows x 189 columns]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cid.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "9e68158b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cid.to_csv(output_path+\"NPS compounds MCS Tanimoto matrix - Unique compounds.csv\")\n",
    "df_pair.to_csv(output_path+\"NPS compounds MCS Tanimoto nearest neighbor - Unique compounds.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3635f58e",
   "metadata": {},
   "source": [
    "### Hierarchical clustering and calculate ARI and NMI using the external class label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "0d34e8e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# only heavy-atom MCS\n",
    "MCS = pd.read_csv(output_path+\"NPS compounds MCS Tanimoto matrix - Unique compounds.csv\",index_col=\"Unnamed: 0\")\n",
    "# all-atom MCS\n",
    "#AA_MCS = pd.read_csv(output_path+\"NPS compounds all-atom MCS Tanimoto matrix - Unique compounds.csv\",index_col=\"Unnamed: 0\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "797a0b56",
   "metadata": {},
   "outputs": [],
   "source": [
    "def form_likage(df):\n",
    "    X = df.values\n",
    "    Z = linkage(X, method='ward')\n",
    "    Pdist = pdist(X)\n",
    "    c, coph_dists = cophenet(Z, Pdist)\n",
    "    print(\"Cophenetic coefficient: %0.4f\" %c)\n",
    "    return X, Z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "55d3eb89",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cophenetic coefficient: 0.7842\n"
     ]
    }
   ],
   "source": [
    "MCS_X, MCS_Z = form_likage(MCS)\n",
    "#AA_MCS_X, AA_MCS_Z = form_likage(AA_MCS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "c5377783",
   "metadata": {},
   "outputs": [],
   "source": [
    "def sil_K(X, Z):\n",
    "    silhouette,n_clu = list(),list()\n",
    "    for num_cluster in range(2, 100):\n",
    "        cluster_nodes= fcluster(Z,num_cluster,criterion='maxclust')\n",
    "        score = silhouette_score(X, cluster_nodes, metric='euclidean')\n",
    "        silhouette.append(score)\n",
    "        n_clu.append(num_cluster)\n",
    "    \n",
    "    result = zip(n_clu,silhouette)\n",
    "    zipped_result = list(result)\n",
    "    df_result = pd.DataFrame(zipped_result,columns=['n_clusters','average_silouette'])\n",
    "    print(\"maximum average silhouette score\")\n",
    "    print(df_result[df_result['average_silouette']==max(silhouette)])\n",
    "    \n",
    "    return n_clu, silhouette"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "5b184b31",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "maximum average silhouette score\n",
      "    n_clusters  average_silouette\n",
      "15          17           0.577936\n"
     ]
    }
   ],
   "source": [
    "MCS_K, MCS_sil = sil_K(MCS_X, MCS_Z)\n",
    "#AA_MCS_K, AA_MCS_sil = sil_K(AA_MCS_X, AA_MCS_Z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "68881c8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 7200x3000 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,5), dpi = 600)\n",
    "plt.rc('font', family='serif')\n",
    "#plt.scatter(MACCS_K, MACCS_sil,label=\"MACCS\")\n",
    "plt.scatter(MCS_K, MCS_sil,label=\"MCS\")\n",
    "#plt.scatter(AA_MCS_K, AA_MCS_sil,label=\"all-atom MCS\")\n",
    "\n",
    "plt.legend()\n",
    "legend = plt.legend(loc='lower right', shadow=True, fontsize=16)\n",
    "plt.xlabel(\"Number of clusters\", fontsize=16)\n",
    "plt.ylabel(\"Average Silhouette Score\", fontsize=16)\n",
    "plt.show()\n",
    "fig.savefig(output_path+\"Silhouette analysis for determining optimal clusters K.png\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "0c463f12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 7200x18000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x1440 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yticklabels= MCS.index\n",
    "\n",
    "fig = plt.figure(figsize=(12,30), dpi = 600)\n",
    "plt.rc('font', family='serif', size = 8)\n",
    "sns.set_style('white')\n",
    "fig = sns.clustermap(MCS_X, method='ward',cmap='coolwarm',fmt='d', linewidth=.5, xticklabels=False, yticklabels=yticklabels,figsize=(12,20))\n",
    "plt.show()\n",
    "fig.savefig(output_path+\"Figure. Heatmap of the MCS clustering of Drug compounds.png\", dpi=600,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e64328a5",
   "metadata": {},
   "source": [
    "##### Optimal class label K = 17 using heavy atom only MCS clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "f62a5a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['MCS_K']= fcluster(MCS_Z,17,criterion='maxclust')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "bfb40d48",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(output_path+\"Drugs Raman or SERS in literature _ Paper 1.csv\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "19c71adb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}