Atividade_10_ML_e_Bioinformática.ipynb

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    "colab": {
      "name": "Atividade 10. ML e Bioinformática.ipynb",
      "provenance": [],
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      "name": "python3",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W6CRdRoVuk19"
      },
      "source": [
        "## **Aula 10 - ML e Bioinformática**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QgUUNF_FuRx-",
        "outputId": "c5ddca9c-f50c-4606-eaf0-db95e1135f50"
      },
      "source": [
        "!pip install biopython bioservices pandas numpy scikit-learn"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: biopython in /usr/local/lib/python3.6/dist-packages (1.78)\n",
            "Requirement already satisfied: bioservices in /usr/local/lib/python3.6/dist-packages (1.7.11)\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "23uXZdlI1DD0"
      },
      "source": [
        "from bioservices.uniprot import UniProt\r\n",
        "from Bio import SeqIO\r\n",
        "from Bio.SeqUtils.ProtParam import ProteinAnalysis\r\n",
        "from sklearn.model_selection import train_test_split\r\n",
        "from sklearn.metrics import accuracy_score\r\n",
        "from sklearn.svm import SVC\r\n",
        "import pandas as pd\r\n",
        "import io"
      ],
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RdzCleHb1rke",
        "outputId": "9e45f049-66e9-42e9-c4f9-f977808a738d"
      },
      "source": [
        "uniprot = UniProt()\r\n",
        "\r\n",
        "membrane_proteins = uniprot.search('locations:(location:\"Membrane [SL-0162]\") taxonomy:\"Bacteria [2]\"', frmt='txt', limit=1000)\r\n",
        "cytoplasm_proteins = uniprot.search('locations:(location:\"Cytoplasm [SL-0086]\") taxonomy:\"Bacteria [2]\"', frmt='txt', limit=1000)\r\n",
        "\r\n",
        "membrane_proteins_buffer = io.StringIO()\r\n",
        "cytoplasm_proteins_buffer = io.StringIO()\r\n",
        "\r\n",
        "membrane_proteins_buffer.write(membrane_proteins)\r\n",
        "cytoplasm_proteins_buffer.write(cytoplasm_proteins)\r\n",
        "\r\n",
        "membrane_proteins_buffer.seek(0)\r\n",
        "cytoplasm_proteins_buffer.seek(0)"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UUptF_og5S2q"
      },
      "source": [
        "membrane_proteins_parser = SeqIO.parse(membrane_proteins_buffer,'swiss')\r\n",
        "cytoplasm_proteins_parser = SeqIO.parse(cytoplasm_proteins_buffer,'swiss')\r\n",
        "\r\n",
        "df_membrane_proteins = pd.DataFrame()\r\n",
        "df_cytoplasm_proteins = pd.DataFrame()\r\n",
        "\r\n",
        "for record in membrane_proteins_parser:\r\n",
        "  protein_analysis = ProteinAnalysis(str(record.seq))\r\n",
        "  aminoacid_composition = protein_analysis.get_amino_acids_percent()\r\n",
        "  df_membrane_proteins = df_membrane_proteins.append([aminoacid_composition], ignore_index=True)\r\n",
        "\r\n",
        "for record in cytoplasm_proteins_parser:\r\n",
        "  protein_analysis = ProteinAnalysis(str(record.seq))\r\n",
        "  aminoacid_composition = protein_analysis.get_amino_acids_percent()\r\n",
        "  df_cytoplasm_proteins = df_cytoplasm_proteins.append([aminoacid_composition], ignore_index=True)"
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dBMPjk858JsN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 406
        },
        "outputId": "86aefd96-334e-44c5-9a52-bb0b7b5ea9a8"
      },
      "source": [
        "df_cytoplasm_proteins[['A', 'C']]"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
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        "df_cytoplasm_proteins.drop(['A'], axis=1)"
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      "execution_count": 54,
      "outputs": [
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              "      <td>0.010601</td>\n",
              "      <td>0.042403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>997</th>\n",
              "      <td>0.007067</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.074205</td>\n",
              "      <td>0.038869</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.063604</td>\n",
              "      <td>0.095406</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.024735</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.045936</td>\n",
              "      <td>0.010601</td>\n",
              "      <td>0.042403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>0.008091</td>\n",
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              "      <td>0.019417</td>\n",
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              "      <td>0.012945</td>\n",
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              "      <td>0.016181</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.056634</td>\n",
              "      <td>0.008091</td>\n",
              "      <td>0.084142</td>\n",
              "      <td>0.045307</td>\n",
              "      <td>0.042071</td>\n",
              "      <td>0.103560</td>\n",
              "      <td>0.011327</td>\n",
              "      <td>0.012945</td>\n",
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              "    <tr>\n",
              "      <th>999</th>\n",
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              "      <td>0.027508</td>\n",
              "      <td>0.122977</td>\n",
              "      <td>0.019417</td>\n",
              "      <td>0.043689</td>\n",
              "      <td>0.017799</td>\n",
              "      <td>0.067961</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.050162</td>\n",
              "      <td>0.012945</td>\n",
              "      <td>0.087379</td>\n",
              "      <td>0.043689</td>\n",
              "      <td>0.058252</td>\n",
              "      <td>0.118123</td>\n",
              "      <td>0.008091</td>\n",
              "      <td>0.008091</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 19 columns</p>\n",
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              "            C         D         E  ...         V         W         Y\n",
              "0    0.000000  0.069697  0.124242  ...  0.060606  0.009091  0.021212\n",
              "1    0.008696  0.052174  0.086957  ...  0.043478  0.000000  0.052174\n",
              "2    0.018939  0.079545  0.049242  ...  0.049242  0.026515  0.034091\n",
              "3    0.013072  0.078431  0.065359  ...  0.071895  0.006536  0.052288\n",
              "4    0.019763  0.083004  0.023715  ...  0.090909  0.011858  0.019763\n",
              "..        ...       ...       ...  ...       ...       ...       ...\n",
              "995  0.007067  0.067138  0.053004  ...  0.045936  0.010601  0.042403\n",
              "996  0.007067  0.067138  0.053004  ...  0.045936  0.010601  0.042403\n",
              "997  0.007067  0.067138  0.053004  ...  0.045936  0.010601  0.042403\n",
              "998  0.008091  0.071197  0.035599  ...  0.103560  0.011327  0.012945\n",
              "999  0.006472  0.056634  0.053398  ...  0.118123  0.008091  0.008091\n",
              "\n",
              "[1000 rows x 19 columns]"
            ]
          },
          "metadata": {
            "tags": []
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          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Xhm3OR4Bjfe",
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      "source": [
        "df_cytoplasm_proteins.drop([1], axis=0)"
      ],
      "execution_count": 55,
      "outputs": [
        {
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              "      <td>0.045752</td>\n",
              "      <td>0.052288</td>\n",
              "      <td>0.032680</td>\n",
              "      <td>0.052288</td>\n",
              "      <td>0.071895</td>\n",
              "      <td>0.006536</td>\n",
              "      <td>0.052288</td>\n",
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              "      <td>0.023715</td>\n",
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              "      <td>0.015810</td>\n",
              "      <td>0.043478</td>\n",
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              "      <td>0.059574</td>\n",
              "      <td>0.051064</td>\n",
              "      <td>0.102128</td>\n",
              "      <td>0.019149</td>\n",
              "      <td>0.035106</td>\n",
              "      <td>0.050000</td>\n",
              "      <td>0.032979</td>\n",
              "      <td>0.070213</td>\n",
              "      <td>0.056383</td>\n",
              "      <td>0.056383</td>\n",
              "      <td>0.071277</td>\n",
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              "      <td>0.084142</td>\n",
              "      <td>0.045307</td>\n",
              "      <td>0.042071</td>\n",
              "      <td>0.103560</td>\n",
              "      <td>0.011327</td>\n",
              "      <td>0.012945</td>\n",
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              "      <td>0.053398</td>\n",
              "      <td>0.027508</td>\n",
              "      <td>0.122977</td>\n",
              "      <td>0.019417</td>\n",
              "      <td>0.043689</td>\n",
              "      <td>0.017799</td>\n",
              "      <td>0.067961</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.050162</td>\n",
              "      <td>0.012945</td>\n",
              "      <td>0.087379</td>\n",
              "      <td>0.043689</td>\n",
              "      <td>0.058252</td>\n",
              "      <td>0.118123</td>\n",
              "      <td>0.008091</td>\n",
              "      <td>0.008091</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>999 rows × 20 columns</p>\n",
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              "            A         C         D  ...         V         W         Y\n",
              "0    0.072727  0.000000  0.069697  ...  0.060606  0.009091  0.021212\n",
              "2    0.049242  0.018939  0.079545  ...  0.049242  0.026515  0.034091\n",
              "3    0.098039  0.013072  0.078431  ...  0.071895  0.006536  0.052288\n",
              "4    0.094862  0.019763  0.083004  ...  0.090909  0.011858  0.019763\n",
              "5    0.072340  0.014894  0.057447  ...  0.071277  0.003191  0.026596\n",
              "..        ...       ...       ...  ...       ...       ...       ...\n",
              "995  0.113074  0.007067  0.067138  ...  0.045936  0.010601  0.042403\n",
              "996  0.113074  0.007067  0.067138  ...  0.045936  0.010601  0.042403\n",
              "997  0.113074  0.007067  0.067138  ...  0.045936  0.010601  0.042403\n",
              "998  0.184466  0.008091  0.071197  ...  0.103560  0.011327  0.012945\n",
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              "\n",
              "[999 rows x 20 columns]"
            ]
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          "metadata": {
            "tags": []
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          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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          "height": 426
        },
        "id": "AxBGhdHVWAdY",
        "outputId": "e74d44b0-8587-4338-f6a6-0f9d3b8c7030"
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      "source": [
        "df_cytoplasm_proteins"
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      "execution_count": 56,
      "outputs": [
        {
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              "      <td>0.039394</td>\n",
              "      <td>0.024242</td>\n",
              "      <td>0.045455</td>\n",
              "      <td>0.103030</td>\n",
              "      <td>0.039394</td>\n",
              "      <td>0.051515</td>\n",
              "      <td>0.060606</td>\n",
              "      <td>0.009091</td>\n",
              "      <td>0.021212</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.034783</td>\n",
              "      <td>0.008696</td>\n",
              "      <td>0.052174</td>\n",
              "      <td>0.086957</td>\n",
              "      <td>0.043478</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.008696</td>\n",
              "      <td>0.095652</td>\n",
              "      <td>0.156522</td>\n",
              "      <td>0.113043</td>\n",
              "      <td>0.008696</td>\n",
              "      <td>0.078261</td>\n",
              "      <td>0.008696</td>\n",
              "      <td>0.043478</td>\n",
              "      <td>0.034783</td>\n",
              "      <td>0.078261</td>\n",
              "      <td>0.052174</td>\n",
              "      <td>0.043478</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.052174</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.049242</td>\n",
              "      <td>0.018939</td>\n",
              "      <td>0.079545</td>\n",
              "      <td>0.049242</td>\n",
              "      <td>0.049242</td>\n",
              "      <td>0.068182</td>\n",
              "      <td>0.041667</td>\n",
              "      <td>0.060606</td>\n",
              "      <td>0.045455</td>\n",
              "      <td>0.106061</td>\n",
              "      <td>0.026515</td>\n",
              "      <td>0.041667</td>\n",
              "      <td>0.053030</td>\n",
              "      <td>0.060606</td>\n",
              "      <td>0.049242</td>\n",
              "      <td>0.037879</td>\n",
              "      <td>0.053030</td>\n",
              "      <td>0.049242</td>\n",
              "      <td>0.026515</td>\n",
              "      <td>0.034091</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.098039</td>\n",
              "      <td>0.013072</td>\n",
              "      <td>0.078431</td>\n",
              "      <td>0.065359</td>\n",
              "      <td>0.032680</td>\n",
              "      <td>0.091503</td>\n",
              "      <td>0.019608</td>\n",
              "      <td>0.039216</td>\n",
              "      <td>0.019608</td>\n",
              "      <td>0.124183</td>\n",
              "      <td>0.026144</td>\n",
              "      <td>0.026144</td>\n",
              "      <td>0.052288</td>\n",
              "      <td>0.045752</td>\n",
              "      <td>0.052288</td>\n",
              "      <td>0.032680</td>\n",
              "      <td>0.052288</td>\n",
              "      <td>0.071895</td>\n",
              "      <td>0.006536</td>\n",
              "      <td>0.052288</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.094862</td>\n",
              "      <td>0.019763</td>\n",
              "      <td>0.083004</td>\n",
              "      <td>0.023715</td>\n",
              "      <td>0.019763</td>\n",
              "      <td>0.098814</td>\n",
              "      <td>0.027668</td>\n",
              "      <td>0.055336</td>\n",
              "      <td>0.019763</td>\n",
              "      <td>0.090909</td>\n",
              "      <td>0.015810</td>\n",
              "      <td>0.043478</td>\n",
              "      <td>0.067194</td>\n",
              "      <td>0.035573</td>\n",
              "      <td>0.059289</td>\n",
              "      <td>0.055336</td>\n",
              "      <td>0.067194</td>\n",
              "      <td>0.090909</td>\n",
              "      <td>0.011858</td>\n",
              "      <td>0.019763</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>995</th>\n",
              "      <td>0.113074</td>\n",
              "      <td>0.007067</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.074205</td>\n",
              "      <td>0.038869</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.063604</td>\n",
              "      <td>0.095406</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.024735</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.045936</td>\n",
              "      <td>0.010601</td>\n",
              "      <td>0.042403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>996</th>\n",
              "      <td>0.113074</td>\n",
              "      <td>0.007067</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.074205</td>\n",
              "      <td>0.038869</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.063604</td>\n",
              "      <td>0.095406</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.024735</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.045936</td>\n",
              "      <td>0.010601</td>\n",
              "      <td>0.042403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>997</th>\n",
              "      <td>0.113074</td>\n",
              "      <td>0.007067</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.074205</td>\n",
              "      <td>0.038869</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.063604</td>\n",
              "      <td>0.095406</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.024735</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.045936</td>\n",
              "      <td>0.010601</td>\n",
              "      <td>0.042403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>0.184466</td>\n",
              "      <td>0.008091</td>\n",
              "      <td>0.071197</td>\n",
              "      <td>0.035599</td>\n",
              "      <td>0.019417</td>\n",
              "      <td>0.127832</td>\n",
              "      <td>0.012945</td>\n",
              "      <td>0.045307</td>\n",
              "      <td>0.012945</td>\n",
              "      <td>0.085761</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.056634</td>\n",
              "      <td>0.008091</td>\n",
              "      <td>0.084142</td>\n",
              "      <td>0.045307</td>\n",
              "      <td>0.042071</td>\n",
              "      <td>0.103560</td>\n",
              "      <td>0.011327</td>\n",
              "      <td>0.012945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>0.165049</td>\n",
              "      <td>0.006472</td>\n",
              "      <td>0.056634</td>\n",
              "      <td>0.053398</td>\n",
              "      <td>0.027508</td>\n",
              "      <td>0.122977</td>\n",
              "      <td>0.019417</td>\n",
              "      <td>0.043689</td>\n",
              "      <td>0.017799</td>\n",
              "      <td>0.067961</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.050162</td>\n",
              "      <td>0.012945</td>\n",
              "      <td>0.087379</td>\n",
              "      <td>0.043689</td>\n",
              "      <td>0.058252</td>\n",
              "      <td>0.118123</td>\n",
              "      <td>0.008091</td>\n",
              "      <td>0.008091</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 20 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            A         C         D  ...         V         W         Y\n",
              "0    0.072727  0.000000  0.069697  ...  0.060606  0.009091  0.021212\n",
              "1    0.034783  0.008696  0.052174  ...  0.043478  0.000000  0.052174\n",
              "2    0.049242  0.018939  0.079545  ...  0.049242  0.026515  0.034091\n",
              "3    0.098039  0.013072  0.078431  ...  0.071895  0.006536  0.052288\n",
              "4    0.094862  0.019763  0.083004  ...  0.090909  0.011858  0.019763\n",
              "..        ...       ...       ...  ...       ...       ...       ...\n",
              "995  0.113074  0.007067  0.067138  ...  0.045936  0.010601  0.042403\n",
              "996  0.113074  0.007067  0.067138  ...  0.045936  0.010601  0.042403\n",
              "997  0.113074  0.007067  0.067138  ...  0.045936  0.010601  0.042403\n",
              "998  0.184466  0.008091  0.071197  ...  0.103560  0.011327  0.012945\n",
              "999  0.165049  0.006472  0.056634  ...  0.118123  0.008091  0.008091\n",
              "\n",
              "[1000 rows x 20 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "id": "UI6fPb6PWBfm",
        "outputId": "1324c4ed-265f-4eb9-f427-114975060fc8"
      },
      "source": [
        "df_membrane_proteins"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>A</th>\n",
              "      <th>C</th>\n",
              "      <th>D</th>\n",
              "      <th>E</th>\n",
              "      <th>F</th>\n",
              "      <th>G</th>\n",
              "      <th>H</th>\n",
              "      <th>I</th>\n",
              "      <th>K</th>\n",
              "      <th>L</th>\n",
              "      <th>M</th>\n",
              "      <th>N</th>\n",
              "      <th>P</th>\n",
              "      <th>Q</th>\n",
              "      <th>R</th>\n",
              "      <th>S</th>\n",
              "      <th>T</th>\n",
              "      <th>V</th>\n",
              "      <th>W</th>\n",
              "      <th>Y</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.118357</td>\n",
              "      <td>0.019324</td>\n",
              "      <td>0.026570</td>\n",
              "      <td>0.016908</td>\n",
              "      <td>0.043478</td>\n",
              "      <td>0.079710</td>\n",
              "      <td>0.012077</td>\n",
              "      <td>0.067633</td>\n",
              "      <td>0.021739</td>\n",
              "      <td>0.159420</td>\n",
              "      <td>0.031401</td>\n",
              "      <td>0.048309</td>\n",
              "      <td>0.041063</td>\n",
              "      <td>0.019324</td>\n",
              "      <td>0.033816</td>\n",
              "      <td>0.077295</td>\n",
              "      <td>0.057971</td>\n",
              "      <td>0.101449</td>\n",
              "      <td>0.012077</td>\n",
              "      <td>0.012077</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.094982</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.055556</td>\n",
              "      <td>0.057348</td>\n",
              "      <td>0.016129</td>\n",
              "      <td>0.103943</td>\n",
              "      <td>0.017921</td>\n",
              "      <td>0.035842</td>\n",
              "      <td>0.034050</td>\n",
              "      <td>0.071685</td>\n",
              "      <td>0.014337</td>\n",
              "      <td>0.066308</td>\n",
              "      <td>0.060932</td>\n",
              "      <td>0.051971</td>\n",
              "      <td>0.044803</td>\n",
              "      <td>0.094982</td>\n",
              "      <td>0.103943</td>\n",
              "      <td>0.062724</td>\n",
              "      <td>0.001792</td>\n",
              "      <td>0.010753</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.120419</td>\n",
              "      <td>0.020942</td>\n",
              "      <td>0.073298</td>\n",
              "      <td>0.047120</td>\n",
              "      <td>0.036649</td>\n",
              "      <td>0.099476</td>\n",
              "      <td>0.026178</td>\n",
              "      <td>0.036649</td>\n",
              "      <td>0.041885</td>\n",
              "      <td>0.062827</td>\n",
              "      <td>0.026178</td>\n",
              "      <td>0.041885</td>\n",
              "      <td>0.047120</td>\n",
              "      <td>0.010471</td>\n",
              "      <td>0.062827</td>\n",
              "      <td>0.057592</td>\n",
              "      <td>0.068063</td>\n",
              "      <td>0.089005</td>\n",
              "      <td>0.020942</td>\n",
              "      <td>0.010471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.104895</td>\n",
              "      <td>0.009324</td>\n",
              "      <td>0.023310</td>\n",
              "      <td>0.027972</td>\n",
              "      <td>0.051282</td>\n",
              "      <td>0.102564</td>\n",
              "      <td>0.013986</td>\n",
              "      <td>0.109557</td>\n",
              "      <td>0.032634</td>\n",
              "      <td>0.144522</td>\n",
              "      <td>0.025641</td>\n",
              "      <td>0.023310</td>\n",
              "      <td>0.051282</td>\n",
              "      <td>0.011655</td>\n",
              "      <td>0.023310</td>\n",
              "      <td>0.053613</td>\n",
              "      <td>0.060606</td>\n",
              "      <td>0.100233</td>\n",
              "      <td>0.009324</td>\n",
              "      <td>0.020979</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.101124</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.112360</td>\n",
              "      <td>0.044944</td>\n",
              "      <td>0.033708</td>\n",
              "      <td>0.078652</td>\n",
              "      <td>0.011236</td>\n",
              "      <td>0.089888</td>\n",
              "      <td>0.134831</td>\n",
              "      <td>0.067416</td>\n",
              "      <td>0.022472</td>\n",
              "      <td>0.011236</td>\n",
              "      <td>0.011236</td>\n",
              "      <td>0.078652</td>\n",
              "      <td>0.011236</td>\n",
              "      <td>0.067416</td>\n",
              "      <td>0.067416</td>\n",
              "      <td>0.044944</td>\n",
              "      <td>0.011236</td>\n",
              "      <td>0.000000</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>995</th>\n",
              "      <td>0.078801</td>\n",
              "      <td>0.006659</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>0.110988</td>\n",
              "      <td>0.029967</td>\n",
              "      <td>0.064373</td>\n",
              "      <td>0.027747</td>\n",
              "      <td>0.062153</td>\n",
              "      <td>0.059933</td>\n",
              "      <td>0.089900</td>\n",
              "      <td>0.028857</td>\n",
              "      <td>0.043285</td>\n",
              "      <td>0.025527</td>\n",
              "      <td>0.049945</td>\n",
              "      <td>0.069922</td>\n",
              "      <td>0.051054</td>\n",
              "      <td>0.048835</td>\n",
              "      <td>0.056604</td>\n",
              "      <td>0.007769</td>\n",
              "      <td>0.028857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>996</th>\n",
              "      <td>0.058608</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.062271</td>\n",
              "      <td>0.051282</td>\n",
              "      <td>0.034799</td>\n",
              "      <td>0.078755</td>\n",
              "      <td>0.010989</td>\n",
              "      <td>0.054945</td>\n",
              "      <td>0.065934</td>\n",
              "      <td>0.109890</td>\n",
              "      <td>0.031136</td>\n",
              "      <td>0.042125</td>\n",
              "      <td>0.056777</td>\n",
              "      <td>0.054945</td>\n",
              "      <td>0.049451</td>\n",
              "      <td>0.067766</td>\n",
              "      <td>0.060440</td>\n",
              "      <td>0.073260</td>\n",
              "      <td>0.009158</td>\n",
              "      <td>0.027473</td>\n",
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              "    <tr>\n",
              "      <th>997</th>\n",
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              "      <td>0.059233</td>\n",
              "      <td>0.052265</td>\n",
              "      <td>0.013937</td>\n",
              "      <td>0.069686</td>\n",
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              "      <td>0.045296</td>\n",
              "      <td>0.080139</td>\n",
              "      <td>0.101045</td>\n",
              "      <td>0.045296</td>\n",
              "      <td>0.041812</td>\n",
              "      <td>0.031359</td>\n",
              "      <td>0.048780</td>\n",
              "      <td>0.045296</td>\n",
              "      <td>0.073171</td>\n",
              "      <td>0.045296</td>\n",
              "      <td>0.087108</td>\n",
              "      <td>0.006969</td>\n",
              "      <td>0.038328</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>0.070707</td>\n",
              "      <td>0.010101</td>\n",
              "      <td>0.020202</td>\n",
              "      <td>0.035354</td>\n",
              "      <td>0.090909</td>\n",
              "      <td>0.095960</td>\n",
              "      <td>0.005051</td>\n",
              "      <td>0.080808</td>\n",
              "      <td>0.030303</td>\n",
              "      <td>0.136364</td>\n",
              "      <td>0.045455</td>\n",
              "      <td>0.045455</td>\n",
              "      <td>0.030303</td>\n",
              "      <td>0.015152</td>\n",
              "      <td>0.025253</td>\n",
              "      <td>0.060606</td>\n",
              "      <td>0.035354</td>\n",
              "      <td>0.131313</td>\n",
              "      <td>0.005051</td>\n",
              "      <td>0.030303</td>\n",
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              "    <tr>\n",
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              "      <td>0.086331</td>\n",
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              "      <td>0.007194</td>\n",
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              "      <td>0.071942</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.028777</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 20 columns</p>\n",
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              "1    0.094982  0.000000  0.055556  ...  0.062724  0.001792  0.010753\n",
              "2    0.120419  0.020942  0.073298  ...  0.089005  0.020942  0.010471\n",
              "3    0.104895  0.009324  0.023310  ...  0.100233  0.009324  0.020979\n",
              "4    0.101124  0.000000  0.112360  ...  0.044944  0.011236  0.000000\n",
              "..        ...       ...       ...  ...       ...       ...       ...\n",
              "995  0.078801  0.006659  0.058824  ...  0.056604  0.007769  0.028857\n",
              "996  0.058608  0.000000  0.062271  ...  0.073260  0.009158  0.027473\n",
              "997  0.094077  0.006969  0.059233  ...  0.087108  0.006969  0.038328\n",
              "998  0.070707  0.010101  0.020202  ...  0.131313  0.005051  0.030303\n",
              "999  0.122302  0.000000  0.043165  ...  0.071942  0.000000  0.028777\n",
              "\n",
              "[1000 rows x 20 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nb0Qyxug8d8j"
      },
      "source": [
        "df_membrane_proteins['membrane'] = True\r\n",
        "df_cytoplasm_proteins['membrane'] = False"
      ],
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mUzYu0eW8qLm"
      },
      "source": [
        "df = pd.concat([df_membrane_proteins, df_cytoplasm_proteins])"
      ],
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "id": "s2BxcSOBAzK8",
        "outputId": "9d2f63a2-7e29-43d7-c666-31d5349fb432"
      },
      "source": [
        "df"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>0.045936</td>\n",
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              "      <td>0.035599</td>\n",
              "      <td>0.019417</td>\n",
              "      <td>0.127832</td>\n",
              "      <td>0.012945</td>\n",
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              "      <td>0.012945</td>\n",
              "      <td>0.085761</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.056634</td>\n",
              "      <td>0.008091</td>\n",
              "      <td>0.084142</td>\n",
              "      <td>0.045307</td>\n",
              "      <td>0.042071</td>\n",
              "      <td>0.103560</td>\n",
              "      <td>0.011327</td>\n",
              "      <td>0.012945</td>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>999</th>\n",
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              "      <td>0.056634</td>\n",
              "      <td>0.053398</td>\n",
              "      <td>0.027508</td>\n",
              "      <td>0.122977</td>\n",
              "      <td>0.019417</td>\n",
              "      <td>0.043689</td>\n",
              "      <td>0.017799</td>\n",
              "      <td>0.067961</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.016181</td>\n",
              "      <td>0.050162</td>\n",
              "      <td>0.012945</td>\n",
              "      <td>0.087379</td>\n",
              "      <td>0.043689</td>\n",
              "      <td>0.058252</td>\n",
              "      <td>0.118123</td>\n",
              "      <td>0.008091</td>\n",
              "      <td>0.008091</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2000 rows × 21 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            A         C         D  ...         W         Y  membrane\n",
              "0    0.118357  0.019324  0.026570  ...  0.012077  0.012077      True\n",
              "1    0.094982  0.000000  0.055556  ...  0.001792  0.010753      True\n",
              "2    0.120419  0.020942  0.073298  ...  0.020942  0.010471      True\n",
              "3    0.104895  0.009324  0.023310  ...  0.009324  0.020979      True\n",
              "4    0.101124  0.000000  0.112360  ...  0.011236  0.000000      True\n",
              "..        ...       ...       ...  ...       ...       ...       ...\n",
              "995  0.113074  0.007067  0.067138  ...  0.010601  0.042403     False\n",
              "996  0.113074  0.007067  0.067138  ...  0.010601  0.042403     False\n",
              "997  0.113074  0.007067  0.067138  ...  0.010601  0.042403     False\n",
              "998  0.184466  0.008091  0.071197  ...  0.011327  0.012945     False\n",
              "999  0.165049  0.006472  0.056634  ...  0.008091  0.008091     False\n",
              "\n",
              "[2000 rows x 21 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FIlb_jUn82Z9"
      },
      "source": [
        "X = df.drop(['membrane'], axis=1)\r\n",
        "y = df['membrane']"
      ],
      "execution_count": 61,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DGQ1DUGz9Fem"
      },
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(X, y)"
      ],
      "execution_count": 62,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cs1-HZhyc8Wl",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "outputId": "0e79b162-98bd-45a8-df5c-4f914c22484f"
      },
      "source": [
        "X_train"
      ],
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>A</th>\n",
              "      <th>C</th>\n",
              "      <th>D</th>\n",
              "      <th>E</th>\n",
              "      <th>F</th>\n",
              "      <th>G</th>\n",
              "      <th>H</th>\n",
              "      <th>I</th>\n",
              "      <th>K</th>\n",
              "      <th>L</th>\n",
              "      <th>M</th>\n",
              "      <th>N</th>\n",
              "      <th>P</th>\n",
              "      <th>Q</th>\n",
              "      <th>R</th>\n",
              "      <th>S</th>\n",
              "      <th>T</th>\n",
              "      <th>V</th>\n",
              "      <th>W</th>\n",
              "      <th>Y</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>0.146853</td>\n",
              "      <td>0.006993</td>\n",
              "      <td>0.055944</td>\n",
              "      <td>0.097902</td>\n",
              "      <td>0.055944</td>\n",
              "      <td>0.062937</td>\n",
              "      <td>0.013986</td>\n",
              "      <td>0.062937</td>\n",
              "      <td>0.062937</td>\n",
              "      <td>0.055944</td>\n",
              "      <td>0.027972</td>\n",
              "      <td>0.020979</td>\n",
              "      <td>0.027972</td>\n",
              "      <td>0.020979</td>\n",
              "      <td>0.069930</td>\n",
              "      <td>0.062937</td>\n",
              "      <td>0.041958</td>\n",
              "      <td>0.090909</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013986</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>897</th>\n",
              "      <td>0.194030</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.029851</td>\n",
              "      <td>0.014925</td>\n",
              "      <td>0.029851</td>\n",
              "      <td>0.044776</td>\n",
              "      <td>0.014925</td>\n",
              "      <td>0.029851</td>\n",
              "      <td>0.059701</td>\n",
              "      <td>0.149254</td>\n",
              "      <td>0.059701</td>\n",
              "      <td>0.029851</td>\n",
              "      <td>0.059701</td>\n",
              "      <td>0.029851</td>\n",
              "      <td>0.044776</td>\n",
              "      <td>0.014925</td>\n",
              "      <td>0.044776</td>\n",
              "      <td>0.089552</td>\n",
              "      <td>0.044776</td>\n",
              "      <td>0.014925</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>893</th>\n",
              "      <td>0.088692</td>\n",
              "      <td>0.004435</td>\n",
              "      <td>0.031042</td>\n",
              "      <td>0.048780</td>\n",
              "      <td>0.068736</td>\n",
              "      <td>0.130820</td>\n",
              "      <td>0.028825</td>\n",
              "      <td>0.064302</td>\n",
              "      <td>0.026608</td>\n",
              "      <td>0.099778</td>\n",
              "      <td>0.024390</td>\n",
              "      <td>0.035477</td>\n",
              "      <td>0.053215</td>\n",
              "      <td>0.017738</td>\n",
              "      <td>0.039911</td>\n",
              "      <td>0.057650</td>\n",
              "      <td>0.048780</td>\n",
              "      <td>0.066519</td>\n",
              "      <td>0.037694</td>\n",
              "      <td>0.026608</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>730</th>\n",
              "      <td>0.087209</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.058140</td>\n",
              "      <td>0.093023</td>\n",
              "      <td>0.046512</td>\n",
              "      <td>0.052326</td>\n",
              "      <td>0.029070</td>\n",
              "      <td>0.052326</td>\n",
              "      <td>0.058140</td>\n",
              "      <td>0.093023</td>\n",
              "      <td>0.046512</td>\n",
              "      <td>0.029070</td>\n",
              "      <td>0.034884</td>\n",
              "      <td>0.052326</td>\n",
              "      <td>0.034884</td>\n",
              "      <td>0.081395</td>\n",
              "      <td>0.023256</td>\n",
              "      <td>0.069767</td>\n",
              "      <td>0.017442</td>\n",
              "      <td>0.040698</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>402</th>\n",
              "      <td>0.072202</td>\n",
              "      <td>0.025271</td>\n",
              "      <td>0.046931</td>\n",
              "      <td>0.075812</td>\n",
              "      <td>0.032491</td>\n",
              "      <td>0.086643</td>\n",
              "      <td>0.025271</td>\n",
              "      <td>0.036101</td>\n",
              "      <td>0.036101</td>\n",
              "      <td>0.104693</td>\n",
              "      <td>0.028881</td>\n",
              "      <td>0.032491</td>\n",
              "      <td>0.043321</td>\n",
              "      <td>0.050542</td>\n",
              "      <td>0.072202</td>\n",
              "      <td>0.061372</td>\n",
              "      <td>0.046931</td>\n",
              "      <td>0.097473</td>\n",
              "      <td>0.010830</td>\n",
              "      <td>0.014440</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>708</th>\n",
              "      <td>0.093750</td>\n",
              "      <td>0.031250</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.062500</td>\n",
              "      <td>0.218750</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.187500</td>\n",
              "      <td>0.062500</td>\n",
              "      <td>0.031250</td>\n",
              "      <td>0.031250</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.062500</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.062500</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.093750</td>\n",
              "      <td>0.031250</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.031250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>398</th>\n",
              "      <td>0.107200</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.080000</td>\n",
              "      <td>0.081600</td>\n",
              "      <td>0.019200</td>\n",
              "      <td>0.092800</td>\n",
              "      <td>0.012800</td>\n",
              "      <td>0.059200</td>\n",
              "      <td>0.062400</td>\n",
              "      <td>0.072000</td>\n",
              "      <td>0.014400</td>\n",
              "      <td>0.032000</td>\n",
              "      <td>0.036800</td>\n",
              "      <td>0.044800</td>\n",
              "      <td>0.052800</td>\n",
              "      <td>0.054400</td>\n",
              "      <td>0.068800</td>\n",
              "      <td>0.091200</td>\n",
              "      <td>0.004800</td>\n",
              "      <td>0.012800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>325</th>\n",
              "      <td>0.081818</td>\n",
              "      <td>0.027273</td>\n",
              "      <td>0.009091</td>\n",
              "      <td>0.018182</td>\n",
              "      <td>0.045455</td>\n",
              "      <td>0.109091</td>\n",
              "      <td>0.009091</td>\n",
              "      <td>0.136364</td>\n",
              "      <td>0.009091</td>\n",
              "      <td>0.145455</td>\n",
              "      <td>0.036364</td>\n",
              "      <td>0.018182</td>\n",
              "      <td>0.045455</td>\n",
              "      <td>0.018182</td>\n",
              "      <td>0.027273</td>\n",
              "      <td>0.072727</td>\n",
              "      <td>0.063636</td>\n",
              "      <td>0.045455</td>\n",
              "      <td>0.036364</td>\n",
              "      <td>0.045455</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>511</th>\n",
              "      <td>0.113074</td>\n",
              "      <td>0.007067</td>\n",
              "      <td>0.070671</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.038869</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.063604</td>\n",
              "      <td>0.091873</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.060071</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.045936</td>\n",
              "      <td>0.010601</td>\n",
              "      <td>0.042403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>625</th>\n",
              "      <td>0.090323</td>\n",
              "      <td>0.025806</td>\n",
              "      <td>0.051613</td>\n",
              "      <td>0.083871</td>\n",
              "      <td>0.058065</td>\n",
              "      <td>0.058065</td>\n",
              "      <td>0.019355</td>\n",
              "      <td>0.051613</td>\n",
              "      <td>0.019355</td>\n",
              "      <td>0.077419</td>\n",
              "      <td>0.032258</td>\n",
              "      <td>0.045161</td>\n",
              "      <td>0.045161</td>\n",
              "      <td>0.090323</td>\n",
              "      <td>0.025806</td>\n",
              "      <td>0.051613</td>\n",
              "      <td>0.070968</td>\n",
              "      <td>0.064516</td>\n",
              "      <td>0.006452</td>\n",
              "      <td>0.032258</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1500 rows × 20 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            A         C         D  ...         V         W         Y\n",
              "92   0.146853  0.006993  0.055944  ...  0.090909  0.000000  0.013986\n",
              "897  0.194030  0.000000  0.029851  ...  0.089552  0.044776  0.014925\n",
              "893  0.088692  0.004435  0.031042  ...  0.066519  0.037694  0.026608\n",
              "730  0.087209  0.000000  0.058140  ...  0.069767  0.017442  0.040698\n",
              "402  0.072202  0.025271  0.046931  ...  0.097473  0.010830  0.014440\n",
              "..        ...       ...       ...  ...       ...       ...       ...\n",
              "708  0.093750  0.031250  0.000000  ...  0.031250  0.000000  0.031250\n",
              "398  0.107200  0.000000  0.080000  ...  0.091200  0.004800  0.012800\n",
              "325  0.081818  0.027273  0.009091  ...  0.045455  0.036364  0.045455\n",
              "511  0.113074  0.007067  0.070671  ...  0.045936  0.010601  0.042403\n",
              "625  0.090323  0.025806  0.051613  ...  0.064516  0.006452  0.032258\n",
              "\n",
              "[1500 rows x 20 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gGxvsD1_9QT_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "outputId": "68fefbb9-c276-495b-f43d-c528c4ed06b4"
      },
      "source": [
        "X_test"
      ],
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>A</th>\n",
              "      <th>C</th>\n",
              "      <th>D</th>\n",
              "      <th>E</th>\n",
              "      <th>F</th>\n",
              "      <th>G</th>\n",
              "      <th>H</th>\n",
              "      <th>I</th>\n",
              "      <th>K</th>\n",
              "      <th>L</th>\n",
              "      <th>M</th>\n",
              "      <th>N</th>\n",
              "      <th>P</th>\n",
              "      <th>Q</th>\n",
              "      <th>R</th>\n",
              "      <th>S</th>\n",
              "      <th>T</th>\n",
              "      <th>V</th>\n",
              "      <th>W</th>\n",
              "      <th>Y</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>744</th>\n",
              "      <td>0.113074</td>\n",
              "      <td>0.007067</td>\n",
              "      <td>0.070671</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.038869</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.063604</td>\n",
              "      <td>0.091873</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.060071</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.045936</td>\n",
              "      <td>0.010601</td>\n",
              "      <td>0.042403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>343</th>\n",
              "      <td>0.082251</td>\n",
              "      <td>0.010101</td>\n",
              "      <td>0.057720</td>\n",
              "      <td>0.080808</td>\n",
              "      <td>0.046176</td>\n",
              "      <td>0.053391</td>\n",
              "      <td>0.008658</td>\n",
              "      <td>0.054834</td>\n",
              "      <td>0.064935</td>\n",
              "      <td>0.113997</td>\n",
              "      <td>0.008658</td>\n",
              "      <td>0.062049</td>\n",
              "      <td>0.025974</td>\n",
              "      <td>0.054834</td>\n",
              "      <td>0.062049</td>\n",
              "      <td>0.057720</td>\n",
              "      <td>0.054834</td>\n",
              "      <td>0.063492</td>\n",
              "      <td>0.007215</td>\n",
              "      <td>0.030303</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>0.119850</td>\n",
              "      <td>0.003745</td>\n",
              "      <td>0.067416</td>\n",
              "      <td>0.052434</td>\n",
              "      <td>0.044944</td>\n",
              "      <td>0.089888</td>\n",
              "      <td>0.014981</td>\n",
              "      <td>0.063670</td>\n",
              "      <td>0.044944</td>\n",
              "      <td>0.074906</td>\n",
              "      <td>0.022472</td>\n",
              "      <td>0.052434</td>\n",
              "      <td>0.033708</td>\n",
              "      <td>0.026217</td>\n",
              "      <td>0.071161</td>\n",
              "      <td>0.033708</td>\n",
              "      <td>0.071161</td>\n",
              "      <td>0.074906</td>\n",
              "      <td>0.007491</td>\n",
              "      <td>0.029963</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>709</th>\n",
              "      <td>0.093640</td>\n",
              "      <td>0.026502</td>\n",
              "      <td>0.054770</td>\n",
              "      <td>0.060071</td>\n",
              "      <td>0.037102</td>\n",
              "      <td>0.065371</td>\n",
              "      <td>0.026502</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.047703</td>\n",
              "      <td>0.114841</td>\n",
              "      <td>0.024735</td>\n",
              "      <td>0.024735</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.040636</td>\n",
              "      <td>0.054770</td>\n",
              "      <td>0.056537</td>\n",
              "      <td>0.058304</td>\n",
              "      <td>0.068905</td>\n",
              "      <td>0.014134</td>\n",
              "      <td>0.028269</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>357</th>\n",
              "      <td>0.103529</td>\n",
              "      <td>0.002353</td>\n",
              "      <td>0.032941</td>\n",
              "      <td>0.047059</td>\n",
              "      <td>0.028235</td>\n",
              "      <td>0.063529</td>\n",
              "      <td>0.032941</td>\n",
              "      <td>0.051765</td>\n",
              "      <td>0.037647</td>\n",
              "      <td>0.141176</td>\n",
              "      <td>0.016471</td>\n",
              "      <td>0.028235</td>\n",
              "      <td>0.063529</td>\n",
              "      <td>0.040000</td>\n",
              "      <td>0.075294</td>\n",
              "      <td>0.047059</td>\n",
              "      <td>0.061176</td>\n",
              "      <td>0.077647</td>\n",
              "      <td>0.014118</td>\n",
              "      <td>0.035294</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>584</th>\n",
              "      <td>0.102837</td>\n",
              "      <td>0.010638</td>\n",
              "      <td>0.024823</td>\n",
              "      <td>0.024823</td>\n",
              "      <td>0.085106</td>\n",
              "      <td>0.113475</td>\n",
              "      <td>0.024823</td>\n",
              "      <td>0.074468</td>\n",
              "      <td>0.021277</td>\n",
              "      <td>0.117021</td>\n",
              "      <td>0.021277</td>\n",
              "      <td>0.031915</td>\n",
              "      <td>0.049645</td>\n",
              "      <td>0.017730</td>\n",
              "      <td>0.028369</td>\n",
              "      <td>0.039007</td>\n",
              "      <td>0.053191</td>\n",
              "      <td>0.060284</td>\n",
              "      <td>0.056738</td>\n",
              "      <td>0.042553</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>817</th>\n",
              "      <td>0.075075</td>\n",
              "      <td>0.003003</td>\n",
              "      <td>0.066066</td>\n",
              "      <td>0.057057</td>\n",
              "      <td>0.033033</td>\n",
              "      <td>0.051051</td>\n",
              "      <td>0.006006</td>\n",
              "      <td>0.051051</td>\n",
              "      <td>0.063063</td>\n",
              "      <td>0.102102</td>\n",
              "      <td>0.015015</td>\n",
              "      <td>0.063063</td>\n",
              "      <td>0.060060</td>\n",
              "      <td>0.018018</td>\n",
              "      <td>0.045045</td>\n",
              "      <td>0.072072</td>\n",
              "      <td>0.075075</td>\n",
              "      <td>0.084084</td>\n",
              "      <td>0.018018</td>\n",
              "      <td>0.042042</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>811</th>\n",
              "      <td>0.113074</td>\n",
              "      <td>0.007067</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.074205</td>\n",
              "      <td>0.038869</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.063604</td>\n",
              "      <td>0.091873</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.067138</td>\n",
              "      <td>0.028269</td>\n",
              "      <td>0.024735</td>\n",
              "      <td>0.053004</td>\n",
              "      <td>0.042403</td>\n",
              "      <td>0.049470</td>\n",
              "      <td>0.010601</td>\n",
              "      <td>0.042403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>317</th>\n",
              "      <td>0.111455</td>\n",
              "      <td>0.004644</td>\n",
              "      <td>0.074303</td>\n",
              "      <td>0.034056</td>\n",
              "      <td>0.035604</td>\n",
              "      <td>0.113003</td>\n",
              "      <td>0.009288</td>\n",
              "      <td>0.027864</td>\n",
              "      <td>0.021672</td>\n",
              "      <td>0.111455</td>\n",
              "      <td>0.013932</td>\n",
              "      <td>0.047988</td>\n",
              "      <td>0.047988</td>\n",
              "      <td>0.063467</td>\n",
              "      <td>0.051084</td>\n",
              "      <td>0.078947</td>\n",
              "      <td>0.052632</td>\n",
              "      <td>0.035604</td>\n",
              "      <td>0.020124</td>\n",
              "      <td>0.044892</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>0.169231</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.069231</td>\n",
              "      <td>0.103846</td>\n",
              "      <td>0.019231</td>\n",
              "      <td>0.061538</td>\n",
              "      <td>0.011538</td>\n",
              "      <td>0.026923</td>\n",
              "      <td>0.038462</td>\n",
              "      <td>0.092308</td>\n",
              "      <td>0.019231</td>\n",
              "      <td>0.046154</td>\n",
              "      <td>0.042308</td>\n",
              "      <td>0.073077</td>\n",
              "      <td>0.080769</td>\n",
              "      <td>0.042308</td>\n",
              "      <td>0.050000</td>\n",
              "      <td>0.038462</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.015385</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>500 rows × 20 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            A         C         D  ...         V         W         Y\n",
              "744  0.113074  0.007067  0.070671  ...  0.045936  0.010601  0.042403\n",
              "343  0.082251  0.010101  0.057720  ...  0.063492  0.007215  0.030303\n",
              "26   0.119850  0.003745  0.067416  ...  0.074906  0.007491  0.029963\n",
              "709  0.093640  0.026502  0.054770  ...  0.068905  0.014134  0.028269\n",
              "357  0.103529  0.002353  0.032941  ...  0.077647  0.014118  0.035294\n",
              "..        ...       ...       ...  ...       ...       ...       ...\n",
              "584  0.102837  0.010638  0.024823  ...  0.060284  0.056738  0.042553\n",
              "817  0.075075  0.003003  0.066066  ...  0.084084  0.018018  0.042042\n",
              "811  0.113074  0.007067  0.067138  ...  0.049470  0.010601  0.042403\n",
              "317  0.111455  0.004644  0.074303  ...  0.035604  0.020124  0.044892\n",
              "41   0.169231  0.000000  0.069231  ...  0.038462  0.000000  0.015385\n",
              "\n",
              "[500 rows x 20 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TwtfG_e69Ukl",
        "outputId": "0c8103cf-3b61-460e-f992-a51d8c8544f9"
      },
      "source": [
        "model = SVC()\r\n",
        "model.fit(X_train, y_train)\r\n",
        "\r\n",
        "y_pred = model.predict(X_test)\r\n",
        "accuracy = accuracy_score(y_test, y_pred)\r\n",
        "\r\n",
        "print(accuracy)"
      ],
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.83\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MnZuSNy49z_M"
      },
      "source": [
        "def predict_membrane_proteins(protein_sequence):\r\n",
        "  protein_analysis = ProteinAnalysis(protein_sequence)\r\n",
        "  aminoacid_composition = protein_analysis.get_amino_acids_percent()\r\n",
        "  df = pd.DataFrame([aminoacid_composition])\r\n",
        "  result = model.predict(df)\r\n",
        "  return result"
      ],
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kRSgq6L8-fvM",
        "outputId": "df9366d0-cb74-4b7a-bd4d-7e87d4e17da1"
      },
      "source": [
        "sequence = '''\r\n",
        "MSQNTLKVHDLNEDAEFDENGVEVFDEKALVEQEPSDNDLAEEELLSQGATQRVLDATQL\r\n",
        "YLGEIGYSPLLTAEEEVYFARRALRGDVASRRRMIESNLRLVVKIARRYGNRGLALLDLI\r\n",
        "EEGNLGLIRAVEKFDPERGFRFSTYATWWIRQTIERAIMNQTRTIRLPIHIVKELNVYLR\r\n",
        "TARELSHKLDHEPSAEEIAEQLDKPVDDVSRMLRLNERITSVDTPLGGDSEKALLDILAD\r\n",
        "EKENGPEDTTQDDDMKQSIVKWLFELNAKQREVLARRFGLLGYEAATLEDVGREIGLTRE\r\n",
        "RVRQIQVEGLRRLREILQTQGLNIEALFRE\r\n",
        "'''\r\n",
        "\r\n",
        "predict_membrane_proteins(sequence)"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([False])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aqvLiO0BfMqw",
        "outputId": "08a4fb21-cce4-474d-e3ea-0ba65546e4d4"
      },
      "source": [
        "sequence = '''\r\n",
        "MKKLLPILIGLSLSGFSSLSQAENLMQVYQQARLSNPELRKSAADRDAAFEKINEARSPL\r\n",
        "LPQLGLGADYTYSNGYRDANGINSNATSASLQLTQSIFDMSKWRALTLQEKAAGIQDVTY\r\n",
        "QTDQQTLILNTATAYFNVLNAIDVLSYTQAQKEAIYRQLDQTTQRFNVGLVAITDVQNAR\r\n",
        "AQYDTVLANEVTARNNLDNAVEQLRQITGNYYPELAALNVENFKTDKPQPVNALLKEAEK\r\n",
        "RNLSLLQARLSQDLAREQIRQAQDGHLPTLDLTASTGISDTSYSGSKTRGAAGTQYDDSN\r\n",
        "MGQNKVGLSFSLPIYQGGMVNSQVKQAQYNFVGASEQLESAHRSVVQTVRSSFNNINASI\r\n",
        "SSINAYKQAVVSAQSSLDAMEAGYSVGTRTIVDVLDATTTLYNAKQELANARYNYLINQL\r\n",
        "NIKSALGTLNEQDLLALNNALSKPVSTNPENVAPQTPEQNAIADGYAPDSPAPVVQQTSA\r\n",
        "RTTTSNGHNPFRN\r\n",
        "'''\r\n",
        "\r\n",
        "predict_membrane_proteins(sequence)"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ True])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PximAL7kf1Q1"
      },
      "source": [
        "## **Atividade Aula 10**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KUmJdtmzhLTW",
        "outputId": "ce90debe-363e-4cde-9e67-9516c92b302b"
      },
      "source": [
        "sequence = '''\r\n",
        "MEKTYNPQDIEQPLYEHWEKQGYFKPNGDESQESFCIMIPPPNVTGSLHMGHAFQQTIMD\r\n",
        "TMIRYQRMQGKNTLWQVGTDHAGIATQMVVERKIAAEEGKTRHDYGREAFIDKIWEWKAE\r\n",
        "SGGTITRQMRRLGNSVDWERERFTMDEGLSNAVKEVFVRLYKEDLIYRGKRLVNWDPKLR\r\n",
        "TAISDLEVENRESKGSMWHIRYPLADGAKTADGKDYLVVATTRPETLLGDTGVAVNPEDP\r\n",
        "RYKDLIGKYVILPLVNRRIPIVGDEHADMEKGTGCVKITPAHDFNDYEVGKRHALPMINI\r\n",
        "LTFDGDIRESAQVFDTKGNESDVYSSEIPAEFQKLERFAARKAVVAAVDALGLLEEIKPH\r\n",
        "DLTVPYGDRGGVVIEPMLTDQWYVRADVLAKPAVEAVENGDIQFVPKQYENMYFSWMRDI\r\n",
        "QDWCISRQLWWGHRIPAWYDEAGNVYVGRNEDEVRKENNLGADVVLRQDEDVLDTWFSSA\r\n",
        "LWTFSTLGWPENTDALRQFHPTSVMVSGFDIIFFWIARMIMMTMHFIKDENGKPQVPFHT\r\n",
        "VYMTGLIRDDEGQKMSKSKGNVIDPLDMVDGISLPELLEKRTGNMMQPQLADKIRKRTEK\r\n",
        "QFPNGIEPHGTDALRFTLAALASTGRDINWDMKRLEGYRNFCNKLWNASRFVLMNTEGQD\r\n",
        "CGFNGGEMTLSLADRWILAEFNQTIKAYREALDSFRFDIAAGILYEFTWNQFCDWYLELT\r\n",
        "KPVMNGGTEAELRGTRHTLVTVLEGLLRLAHPIIPFITETIWQRVKVLCGITADTIMLQP\r\n",
        "FPQYDASQVDEAALADTEWLKQAIVAVRNIRAEMNIAPGKPLELLLRGCSADAERRVNEN\r\n",
        "RGFLQTLARLESITVLPADDKGPVSVTKIIDGAELLIPMAGLINKEDELARLAKEVAKIE\r\n",
        "GEISRIENKLANEGFVARAPEAVIAKEREKLEGYAEAKAKLIEQQAVIAAL\r\n",
        "'''\r\n",
        "predict_membrane_proteins(sequence)"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([False])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O96D9VQUhBIz",
        "outputId": "79a6da88-f732-4955-b830-5a45c3cfe7a3"
      },
      "source": [
        "sequence = '''\r\n",
        "MPKPADHRNHAAVSTSVLSALFLGAGAALLSACSSPQHASTVPGTTPSIWTGSPAPSGLS\r\n",
        "GHDEESPGAQSLTSTLTAPDGTKVATAKFEFANGYATVTIATTGVGKLTPGFHGLHIHQV\r\n",
        "GKCEPNSVAPTGGAPGNFLSAGGHYHVPGHTGTPASGDLASLQVRGDGSAMLVTTTDAFT\r\n",
        "MDDLLSGAKTAIIIHAGADNFANIPPERYVQVNGTPGPDETTLTTGDAGKRVACGVIGSG\r\n",
        "'''\r\n",
        "predict_membrane_proteins(sequence)"
      ],
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ True])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "87ktkZdwfm6p",
        "outputId": "0fb38a7b-6413-4ed1-a751-23178bc41847"
      },
      "source": [
        "sequence = '''\r\n",
        "MDKIEVRGARTHNLKNINLVIPRDKLIVVTGLSGSGKSSLAFDTLYAEGQRRYVESLSAY\r\n",
        "ARQFLSLMEKPDVDHIEGLSPAISIEQKSTSHNPRSTVGTITEIHDYLRLLFARVGEPRC\r\n",
        "PDHDVPLAAQTVSQMVDNVLSQPEGKRLMLLAPIIKERKGEHTKTLENLASQGYIRARID\r\n",
        "GEVCDLSDPPKLELQKKHTIEVVVDRFKVRDDLTQRLAESFETALELSGGTAVVADMDDP\r\n",
        "KAEELLFSANFACPICGYSMRELEPRLFSFNNPAGACPTCDGLGVQQYFDPDRVIQNPEL\r\n",
        "SLAGGAIRGWDRRNFYYFQMLKSLADHYKFDVEAPWGSLSANVHKVVLYGSGKENIEFKY\r\n",
        "MNDRGDTSIRRHPFEGVLHNMERRYKETESSAVREELAKFISNRPCASCEGTRLRREARH\r\n",
        "VYVENTPLPAISDMSIGHAMEFFNNLKLAGQRAKIAEKILKEIGDRLKFLVNVGLNYLTL\r\n",
        "SRSAETLSGGEAQRIRLASQIGAGLVGVMYVLDEPSIGLHQRDNERLLGTLIHLRDLGNT\r\n",
        "VIVVEHDEDAIRAADHVIDIGPGAGVHGGEVVAEGPLEAIMAVPESLTGQYMSGKRKIEV\r\n",
        "PKKRVPANPEKVLKLTGARGNNLKDVTLTLPVGLFTCITGVSGSGKSTLINDTLFPIAQR\r\n",
        "QLNGATIAEPAPYRDIQGLEHFDKVIDIDQSPIGRTPRSNPATYTGVFTPVRELFAGVPE\r\n",
        "SRARGYTPGRFSFNVRGGRCEACQGDGVIKVEMHFLPDIYVPCDQCKGKRYNRETLEIKY\r\n",
        "KGKTIHEVLDMTIEEAREFFDAVPALARKLQTLMDVGLTYIRLGQSATTLSGGEAQRVKL\r\n",
        "ARELSKRGTGQTLYILDEPTTGLHFADIQQLLDVLHKLRDQGNTIVVIEHNLDVIKTADW\r\n",
        "IVDLGPEGGSGGGEILVSGTPETVAECEASHTARFLKPML\r\n",
        "'''\r\n",
        "\r\n",
        "predict_membrane_proteins(sequence)"
      ],
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([False])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    }
  ]
}