Aromatase_Inhibitors_QSAR_web_app.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QQHZHevuXdEy"
      },
      "source": [
        "# **QSAR Model Building of Aromatase Inhibitors**\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g1qtHa0zXfWM"
      },
      "source": [
        "# Read in data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "9MdfbvFKXtXq"
      },
      "outputs": [],
      "source": [
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "nerGP0fCXfgP",
        "outputId": "c12c06cc-55f2-402f-c65b-39260cf58208"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1968</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5.475574</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1969</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1970</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1971</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1972</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6.455932</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1973 rows × 882 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3723068f-7c9f-4622-b835-18deb7aaefaf')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3723068f-7c9f-4622-b835-18deb7aaefaf button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3723068f-7c9f-4622-b835-18deb7aaefaf');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "      PubchemFP0  PubchemFP1  PubchemFP2  ...  PubchemFP879  PubchemFP880     pIC50\n",
              "0              1           1           1  ...             0             0  4.301030\n",
              "1              1           1           1  ...             0             0  6.623423\n",
              "2              1           1           1  ...             0             0  7.244125\n",
              "3              1           1           1  ...             0             0  7.267606\n",
              "4              1           1           1  ...             0             0  7.387216\n",
              "...          ...         ...         ...  ...           ...           ...       ...\n",
              "1968           1           1           0  ...             0             0  5.475574\n",
              "1969           1           1           1  ...             0             0  5.000000\n",
              "1970           1           1           0  ...             0             0  5.000000\n",
              "1971           1           1           1  ...             0             0       NaN\n",
              "1972           1           1           1  ...             0             0  6.455932\n",
              "\n",
              "[1973 rows x 882 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "dataset_url = 'https://raw.githubusercontent.com/tanishq67/Project-Drug-Discovery-/4c94be85722ac0d616bb28aba20997593e049642/Data/Aromatase_bioactivity_data_3class_pIC50_pubchem_fp.csv'\n",
        "dataset = pd.read_csv(dataset_url)\n",
        "dataset"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataset.dropna(subset=['pIC50'], inplace=True)"
      ],
      "metadata": {
        "id": "VDKPiCSMMjjR"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "tgFxx8m_YEUy",
        "outputId": "e771fc09-1e03-42d6-d688-67e427ef48f9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
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              "    .dataframe tbody tr th {\n",
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              "    }\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>PubchemFP0</th>\n",
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              "      <th>PubchemFP879</th>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1967</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1968</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1969</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1970</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1972</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1926 rows × 881 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5ed435b2-4ee0-4b68-b836-80bfe14ac1ec')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-5ed435b2-4ee0-4b68-b836-80bfe14ac1ec button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5ed435b2-4ee0-4b68-b836-80bfe14ac1ec');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "      PubchemFP0  PubchemFP1  ...  PubchemFP879  PubchemFP880\n",
              "0              1           1  ...             0             0\n",
              "1              1           1  ...             0             0\n",
              "2              1           1  ...             0             0\n",
              "3              1           1  ...             0             0\n",
              "4              1           1  ...             0             0\n",
              "...          ...         ...  ...           ...           ...\n",
              "1967           1           1  ...             0             0\n",
              "1968           1           1  ...             0             0\n",
              "1969           1           1  ...             0             0\n",
              "1970           1           1  ...             0             0\n",
              "1972           1           1  ...             0             0\n",
              "\n",
              "[1926 rows x 881 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "\n",
        "X = dataset.drop(['pIC50'], axis=1)\n",
        "X"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JDwxgKHqYmD4",
        "outputId": "07bb59de-709c-4cd1-f17e-728426badf9b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       4.301030\n",
              "1       6.623423\n",
              "2       7.244125\n",
              "3       7.267606\n",
              "4       7.387216\n",
              "          ...   \n",
              "1967    5.458153\n",
              "1968    5.475574\n",
              "1969    5.000000\n",
              "1970    5.000000\n",
              "1972    6.455932\n",
              "Name: pIC50, Length: 1926, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "Y = dataset.iloc[:,-1]\n",
        "Y"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AQ9E0xUY_o_M"
      },
      "source": [
        "# Remove low variance features"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "Qkgj-lsG_wOJ",
        "outputId": "87abb324-10f2-4d44-bfeb-1cbc2dbc1fc0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-7cf04b4e-b289-487f-b228-02f75e18f926\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>PubchemFP2</th>\n",
              "      <th>PubchemFP12</th>\n",
              "      <th>PubchemFP14</th>\n",
              "      <th>PubchemFP15</th>\n",
              "      <th>PubchemFP16</th>\n",
              "      <th>PubchemFP18</th>\n",
              "      <th>PubchemFP19</th>\n",
              "      <th>PubchemFP20</th>\n",
              "      <th>PubchemFP33</th>\n",
              "      <th>PubchemFP143</th>\n",
              "      <th>PubchemFP144</th>\n",
              "      <th>PubchemFP145</th>\n",
              "      <th>PubchemFP146</th>\n",
              "      <th>PubchemFP150</th>\n",
              "      <th>PubchemFP180</th>\n",
              "      <th>PubchemFP181</th>\n",
              "      <th>PubchemFP182</th>\n",
              "      <th>PubchemFP186</th>\n",
              "      <th>PubchemFP192</th>\n",
              "      <th>PubchemFP193</th>\n",
              "      <th>PubchemFP255</th>\n",
              "      <th>PubchemFP256</th>\n",
              "      <th>PubchemFP257</th>\n",
              "      <th>PubchemFP258</th>\n",
              "      <th>PubchemFP259</th>\n",
              "      <th>PubchemFP261</th>\n",
              "      <th>PubchemFP285</th>\n",
              "      <th>PubchemFP286</th>\n",
              "      <th>PubchemFP293</th>\n",
              "      <th>PubchemFP299</th>\n",
              "      <th>PubchemFP300</th>\n",
              "      <th>PubchemFP305</th>\n",
              "      <th>PubchemFP308</th>\n",
              "      <th>PubchemFP334</th>\n",
              "      <th>PubchemFP335</th>\n",
              "      <th>PubchemFP338</th>\n",
              "      <th>PubchemFP339</th>\n",
              "      <th>PubchemFP340</th>\n",
              "      <th>PubchemFP341</th>\n",
              "      <th>PubchemFP345</th>\n",
              "      <th>...</th>\n",
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              "      <th>PubchemFP676</th>\n",
              "      <th>PubchemFP677</th>\n",
              "      <th>PubchemFP680</th>\n",
              "      <th>PubchemFP683</th>\n",
              "      <th>PubchemFP684</th>\n",
              "      <th>PubchemFP689</th>\n",
              "      <th>PubchemFP690</th>\n",
              "      <th>PubchemFP691</th>\n",
              "      <th>PubchemFP692</th>\n",
              "      <th>PubchemFP693</th>\n",
              "      <th>PubchemFP695</th>\n",
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              "      <th>PubchemFP699</th>\n",
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              "      <th>PubchemFP702</th>\n",
              "      <th>PubchemFP704</th>\n",
              "      <th>PubchemFP705</th>\n",
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              "      <th>PubchemFP756</th>\n",
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              "      <th>PubchemFP777</th>\n",
              "      <th>PubchemFP779</th>\n",
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              "      <th>PubchemFP798</th>\n",
              "      <th>PubchemFP803</th>\n",
              "      <th>PubchemFP818</th>\n",
              "      <th>PubchemFP819</th>\n",
              "      <th>PubchemFP860</th>\n",
              "    </tr>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1967</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1968</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1969</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1970</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1972</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1926 rows × 238 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7cf04b4e-b289-487f-b228-02f75e18f926')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7cf04b4e-b289-487f-b228-02f75e18f926 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7cf04b4e-b289-487f-b228-02f75e18f926');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "      PubchemFP2  PubchemFP12  ...  PubchemFP819  PubchemFP860\n",
              "0              1            1  ...             0             0\n",
              "1              1            1  ...             0             1\n",
              "2              1            1  ...             0             0\n",
              "3              1            1  ...             0             0\n",
              "4              1            1  ...             0             0\n",
              "...          ...          ...  ...           ...           ...\n",
              "1967           1            1  ...             0             0\n",
              "1968           0            1  ...             0             0\n",
              "1969           1            1  ...             0             0\n",
              "1970           0            1  ...             0             0\n",
              "1972           1            1  ...             0             0\n",
              "\n",
              "[1926 rows x 238 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "from sklearn.feature_selection import VarianceThreshold\n",
        "\n",
        "def remove_low_variance(input_data, threshold=0.1):\n",
        "    selection = VarianceThreshold(threshold)\n",
        "    selection.fit(input_data)\n",
        "    return input_data[input_data.columns[selection.get_support(indices=True)]]\n",
        "\n",
        "X = remove_low_variance(X, threshold=0.1)\n",
        "X"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "GMG5mlzVLMRD"
      },
      "outputs": [],
      "source": [
        "X.to_csv('descriptor_list.csv', index = False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LNohCdqQY5VZ"
      },
      "source": [
        "#Decision Tree Regression Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "id": "EanoyG2eX9cV"
      },
      "outputs": [],
      "source": [
        "from sklearn.tree import DecisionTreeRegressor\n",
        "from sklearn.metrics import mean_squared_error, r2_score"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mLQJ2KLLY_9a",
        "outputId": "8481f808-5766-46f7-b541-553b4bb4efc2"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6128712718290878"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ],
      "source": [
        "model = DecisionTreeRegressor()\n",
        "model.fit(X, Y)\n",
        "r2 = model.score(X, Y)\n",
        "r2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F5f8KGWjZRSc"
      },
      "source": [
        "## Model Prediction"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MI3c8LB2ZCYW",
        "outputId": "966f10aa-5778-4a53-f836-2f6fa7d00ff1"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([7.2751961 , 6.62342304, 7.2751961 , ..., 5.        , 6.32561752,\n",
              "       6.39423304])"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ],
      "source": [
        "Y_pred = model.predict(X)\n",
        "Y_pred"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fXv7bcolZqa-"
      },
      "source": [
        "## Model Performance"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6f13gYleZVKy",
        "outputId": "4384d894-4b21-4bd0-f973-5cdcce3db51f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean squared error (MSE): 0.78\n",
            "Coefficient of determination (R^2): 0.61\n"
          ]
        }
      ],
      "source": [
        "print('Mean squared error (MSE): %.2f'\n",
        "      % mean_squared_error(Y, Y_pred))\n",
        "print('Coefficient of determination (R^2): %.2f'\n",
        "      % r2_score(Y, Y_pred))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uWvxj1iSaL3n"
      },
      "source": [
        "# Data Visualization (Experimental vs Predicted pIC50 for Training Data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "iPcFF0MjZlh8"
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 351
        },
        "id": "QRNyIlGAaQQI",
        "outputId": "a7ec2d6b-37d4-46e9-b4b0-cbe45d6daa90"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Experimental pIC50')"
            ]
          },
          "metadata": {},
          "execution_count": 40
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.figure(figsize=(5,5))\n",
        "plt.scatter(x=Y, y=Y_pred, c=\"#7CAE00\", alpha=0.3)\n",
        "\n",
        "# Add trendline\n",
        "# https://stackoverflow.com/questions/26447191/how-to-add-trendline-in-python-matplotlib-dot-scatter-graphs\n",
        "z = np.polyfit(Y, Y_pred, 1)\n",
        "p = np.poly1d(z)\n",
        "\n",
        "plt.plot(Y,p(Y),\"#F8766D\")\n",
        "plt.ylabel('Predicted pIC50')\n",
        "plt.xlabel('Experimental pIC50')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YzKTmvZrbFVI"
      },
      "source": [
        "# Save Model as Pickle Object"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "DzjpPyVyb8XO"
      },
      "outputs": [],
      "source": [
        "import pickle"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "b2K9ajBaaYUk"
      },
      "outputs": [],
      "source": [
        "pickle.dump(model, open('Aromatase_model.pkl', 'wb'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ef4fyvrEb-NC"
      },
      "outputs": [],
      "source": [
        ""
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "Aromatase-Inhibitors-QSAR-web-app.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.9"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}