HBB_11_15.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/sasaigoli05/BIOL105-CompBioModule/blob/main/HBB_11_15.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yMm1EPePgx-N"
      },
      "source": [
        "\n",
        "Temporary notes from Suhan:\n",
        "\n",
        "- Core of HBB should be hydrophobic, in the mutant it is hydrophillic with positive and negative charges causing repulsive forces which would damage the stability of the structure\n",
        "- 2,3-BPG is a large, negative molecule, so the binding sites should be positive to strongly bind 2,3-BPG. When they are changed to negative, the oxygen affinity goes up.\n",
        "- The mutant has a very poor PLDDT score, which signifies the structure is not very stable. When the hydrophobic core is modified to have hydrophobic/neutral reisdues instead the stability and PLDDT goes up.\n",
        "\n",
        "- Overall, each structure generation will take around 1 minute.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screenshot 2024-11-03 at 1.32.35 PM.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "QP8p4ByPTQsM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screenshot 2024-11-03 at 6.21.20 PM.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "tnWvJn1PVIcY"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screenshot 2024-11-03 at 6.20.07 PM.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "7jQzPv_wVIrJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screenshot 2024-11-03 at 6.20.14 PM.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "kAcOfjN0VI5B"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screenshot 2024-11-03 at 5.24.41 PM.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "Gpg5EOcbIXDK"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 129
        },
        "id": "AzIKiDiCaHAn",
        "outputId": "aa63a3e7-cec8-4e91-9608-c8c7cda64f83"
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "name 'use_amber' is not defined",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<timed exec>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n",
            "\u001b[0;31mNameError\u001b[0m: name 'use_amber' is not defined"
          ]
        }
      ],
      "source": [
        "#@title Install dependencies + generate guiding question 1\n",
        "%%time\n",
        "import os\n",
        "USE_AMBER = use_amber\n",
        "USE_TEMPLATES = use_templates\n",
        "PYTHON_VERSION = python_version\n",
        "\n",
        "if not os.path.isfile(\"COLABFOLD_READY\"):\n",
        "  print(\"installing colabfold...\")\n",
        "  os.system(\"pip install -q --no-warn-conflicts 'colabfold[alphafold-minus-jax] @ git+https://github.com/sokrypton/ColabFold'\")\n",
        "  if os.environ.get('TPU_NAME', False) != False:\n",
        "    os.system(\"pip uninstall -y jax jaxlib\")\n",
        "    os.system(\"pip install --no-warn-conflicts --upgrade dm-haiku==0.0.10 'jax[cuda12_pip]'==0.3.25 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html\")\n",
        "  os.system(\"ln -s /usr/local/lib/python3.*/dist-packages/colabfold colabfold\")\n",
        "  os.system(\"ln -s /usr/local/lib/python3.*/dist-packages/alphafold alphafold\")\n",
        "  os.system(\"touch COLABFOLD_READY\")\n",
        "\n",
        "if USE_AMBER or USE_TEMPLATES:\n",
        "  if not os.path.isfile(\"CONDA_READY\"):\n",
        "    print(\"installing conda...\")\n",
        "    os.system(\"wget -qnc https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-Linux-x86_64.sh\")\n",
        "    os.system(\"bash Mambaforge-Linux-x86_64.sh -bfp /usr/local\")\n",
        "    os.system(\"mamba config --set auto_update_conda false\")\n",
        "    os.system(\"touch CONDA_READY\")\n",
        "\n",
        "if USE_TEMPLATES and not os.path.isfile(\"HH_READY\") and USE_AMBER and not os.path.isfile(\"AMBER_READY\"):\n",
        "  print(\"installing hhsuite and amber...\")\n",
        "  os.system(f\"mamba install -y -c conda-forge -c bioconda kalign2=2.04 hhsuite=3.3.0 openmm=7.7.0 python='{PYTHON_VERSION}' pdbfixer biopython\") # Added biopython here\n",
        "  os.system(\"touch HH_READY\")\n",
        "  os.system(\"touch AMBER_READY\")\n",
        "else:\n",
        "  if USE_TEMPLATES and not os.path.isfile(\"HH_READY\"):\n",
        "    print(\"installing hhsuite...\")\n",
        "    os.system(f\"mamba install -y -c conda-forge -c bioconda kalign2=2.04 hhsuite=3.3.0 python='{PYTHON_VERSION}' biopython\") # Added biopython here\n",
        "    os.system(\"touch HH_READY\")\n",
        "  if USE_AMBER and not os.path.isfile(\"AMBER_READY\"):\n",
        "    print(\"installing amber...\")\n",
        "    os.system(f\"mamba install -y -c conda-forge openmm=7.7.0 python='{PYTHON_VERSION}' pdbfixer biopython\") # Added biopython here\n",
        "    os.system(\"touch AMBER_READY\")\n",
        "\n",
        "\n",
        "# Define the hydrophobic core based on the position of \"GRLLVVYPWT\" in the original hemoglobin sequence\n",
        "hydrophobic_core_sequence = \"GRLLVVYPWT\"\n",
        "original_sequence = \"MVHLTPEEKSAVTALWGKVNVDEVGGEALGRLLVVYPWTQRFFESFGDLSTPDAVMGNPKVKAHGKKVLGAFSDGLAHLDNLKGTFATLSELHCDKLHVDPENFRLLGNVLVCVLAHHFGKEFTPPVQAAYQKVVAGVANALAHKYH\"\n",
        "\n",
        "# Find positions of the hydrophobic core in the original sequence\n",
        "core_start_index = original_sequence.find(hydrophobic_core_sequence) + 1\n",
        "core_positions = list(range(core_start_index, core_start_index + len(hydrophobic_core_sequence)))\n",
        "\n",
        "# Add \"hydrophobic_core\" to the residue_categories dictionary\n",
        "residue_categories = {\n",
        "    'BPG_binding': [2, 3, 83, 144],\n",
        "    'iron_binding': [64, 93],\n",
        "    'not_glycated': [60, 83, 96],\n",
        "    'cleavage_sites': [8, 9, 26, 27, 30, 31, 36, 37, 38, 39, 46, 47, 53, 54, 57, 58, 60, 72, 73, 75, 76, 85, 86, 93, 94, 105, 106, 111, 112, 120, 121, 123, 124, 129, 130, 141, 142, 145, 146],\n",
        "    'hydrophobic_core': core_positions  # Positions of the \"hydrophobic core\"\n",
        "}\n",
        "\n",
        "# Define dictionary for residue charges\n",
        "residue_charge = {\n",
        "    'K': 'positive',  # Lysine\n",
        "    'R': 'positive',  # Arginine\n",
        "    'H': 'positive',  # Histidine (partially positive at physiological pH)\n",
        "    'D': 'negative',  # Aspartic acid\n",
        "    'E': 'negative',  # Glutamic acid\n",
        "    'A': 'neutral',  # Alanine\n",
        "    'G': 'neutral',  # Glycine\n",
        "    'V': 'neutral',  # Valine\n",
        "    'L': 'neutral',  # Leucine\n",
        "    'I': 'neutral',  # Isoleucine\n",
        "    'P': 'neutral',  # Proline\n",
        "    'F': 'neutral',  # Phenylalanine\n",
        "    'M': 'neutral',  # Methionine\n",
        "    'W': 'neutral',  # Tryptophan\n",
        "    'S': 'neutral',  # Serine\n",
        "    'T': 'neutral',  # Threonine\n",
        "    'C': 'neutral',  # Cysteine (neutral, though can form disulfide bonds)\n",
        "    'N': 'neutral',  # Asparagine\n",
        "    'Q': 'neutral',  # Glutamine\n",
        "    'Y': 'neutral'   # Tyrosine (polar, but neutral at physiological pH)\n",
        "}\n",
        "\n",
        "# Function to query residues based on category\n",
        "def query_residues_by_category(sequence, category):\n",
        "    \"\"\"Query residues in sequence by category and determine charge type.\"\"\"\n",
        "    result = []\n",
        "    for pos in residue_categories[category]:\n",
        "        if pos <= len(sequence):\n",
        "            residue = sequence[pos - 1]  # Adjust for 0-based index\n",
        "            charge = residue_charge.get(residue, 'unknown')\n",
        "            result.append(f\"Position {pos}: {residue} ({charge})\")\n",
        "    return result\n",
        "\n",
        "# Updated function to print residues by category\n",
        "def print_residues_by_category(category):\n",
        "    \"\"\"Prints residues and their charges based on the selected category.\"\"\"\n",
        "    residues_info = query_residues_by_category(mutant_sequence, category)\n",
        "    print(f\"Residues in the category '{category}':\")\n",
        "    for info in residues_info:\n",
        "        print(info)\n",
        "    if category == 'hydrophobic_core':\n",
        "        print(\"\\nCheck for hydrophilic or charged residues in the hydrophobic core!\")\n",
        "        hydrophilic_or_charged = [res for res in residues_info if 'positive' in res or 'negative' in res]\n",
        "        if hydrophilic_or_charged:\n",
        "            print(\"Warning: Hydrophilic or charged residues detected in the hydrophobic core:\")\n",
        "            for res in hydrophilic_or_charged:\n",
        "                print(res)\n",
        "            print(\"Consider changing these residues to hydrophobic (e.g., G, A, V, L, I, P, F, M, W) for stability.\")\n",
        "\n",
        "def calculate_binding_score(sequence):\n",
        "    \"\"\"\n",
        "    Calculate a fictional binding score based on charge properties at specific positions.\n",
        "    Higher score indicates better binding affinity to oxygen.\n",
        "    \"\"\"\n",
        "    # Define target positions and their ideal charges for oxygen binding\n",
        "    target_positions = [2, 3, 83, 144]\n",
        "    score = 0\n",
        "\n",
        "    # Scoring based on residue properties at specific positions\n",
        "    for pos in target_positions:\n",
        "        if pos <= len(sequence):\n",
        "            residue = sequence[pos - 1]  # Adjust for 0-based indexing\n",
        "            if residue in ['D', 'E']:  # Negative charge - good for oxygen binding\n",
        "                score += 30\n",
        "            elif residue in ['A', 'G', 'V', 'L', 'I', 'P', 'F', 'M', 'W', 'S', 'T', 'N', 'Q', 'C', 'Y']:  # Neutral - moderate\n",
        "                score += 15\n",
        "            elif residue in ['K', 'R', 'H']:  # Positive charge - bad for oxygen binding\n",
        "                score -= 10\n",
        "\n",
        "    return score\n",
        "\n",
        "msa_mode = \"mmseqs2_uniref_env\"\n",
        "pair_mode = \"unpaired_paired\"\n",
        "\n",
        "# decide which a3m to use\n",
        "if \"mmseqs2\" in msa_mode:\n",
        "  a3m_file = os.path.join(jobname,f\"{jobname}.a3m\")\n",
        "\n",
        "elif msa_mode == \"custom\":\n",
        "  a3m_file = os.path.join(jobname,f\"{jobname}.custom.a3m\")\n",
        "  if not os.path.isfile(a3m_file):\n",
        "    custom_msa_dict = files.upload()\n",
        "    custom_msa = list(custom_msa_dict.keys())[0]\n",
        "    header = 0\n",
        "    import fileinput\n",
        "    for line in fileinput.FileInput(custom_msa,inplace=1):\n",
        "      if line.startswith(\">\"):\n",
        "         header = header + 1\n",
        "      if not line.rstrip():\n",
        "        continue\n",
        "      if line.startswith(\">\") == False and header == 1:\n",
        "         query_sequence = line.rstrip()\n",
        "      print(line, end='')\n",
        "\n",
        "    os.rename(custom_msa, a3m_file)\n",
        "    queries_path=a3m_file\n",
        "    print(f\"moving {custom_msa} to {a3m_file}\")\n",
        "\n",
        "else:\n",
        "  a3m_file = os.path.join(jobname,f\"{jobname}.single_sequence.a3m\")\n",
        "  with open(a3m_file, \"w\") as text_file:\n",
        "    text_file.write(\">1\\n%s\" % query_sequence)\n",
        "\n",
        "model_type = \"auto\"\n",
        "num_recycles = \"3\"\n",
        "recycle_early_stop_tolerance = \"auto\"\n",
        "relax_max_iterations = 200\n",
        "pairing_strategy = \"greedy\"\n",
        "\n",
        "max_msa = \"auto\"\n",
        "num_seeds = 1\n",
        "use_dropout = False\n",
        "\n",
        "num_recycles = None if num_recycles == \"auto\" else int(num_recycles)\n",
        "recycle_early_stop_tolerance = None if recycle_early_stop_tolerance == \"auto\" else float(recycle_early_stop_tolerance)\n",
        "if max_msa == \"auto\": max_msa = None\n",
        "\n",
        "save_all = False\n",
        "save_recycles = False\n",
        "save_to_google_drive = False\n",
        "dpi = 200\n",
        "\n",
        "if save_to_google_drive:\n",
        "  from pydrive2.drive import GoogleDrive\n",
        "  from pydrive2.auth import GoogleAuth\n",
        "  from google.colab import auth\n",
        "  from oauth2client.client import GoogleCredentials\n",
        "  auth.authenticate_user()\n",
        "  gauth = GoogleAuth()\n",
        "  gauth.credentials = GoogleCredentials.get_application_default()\n",
        "  drive = GoogleDrive(gauth)\n",
        "  print(\"You are logged into Google Drive and are good to go!\")\n",
        "\n",
        "\n",
        "import ipywidgets as widgets\n",
        "from IPython.display import display, clear_output\n",
        "\n",
        "# Define the question and options with improved formatting\n",
        "question_text = \"\"\"\n",
        "<b>Answer this question after generating the mutant structure in the next cell: Given that the hydrophobic core of the protein sequence occurs from residues 30-40,\n",
        "what does the PLDDT graph signify about the structure in that portion of the sequence?</b>\n",
        "\"\"\"\n",
        "\n",
        "options = [\n",
        "    \"The structure is unstable due to repulsive chemical interactions\",  # Correct answer\n",
        "    \"The structure is stable due to stabilizing chemical interactions\",\n",
        "]\n",
        "\n",
        "# Create widgets with improved layout\n",
        "question_label = widgets.HTML(value=question_text)\n",
        "\n",
        "options_dropdown = widgets.RadioButtons(\n",
        "    options=options,\n",
        "    description=\"Options:\",\n",
        "    layout=widgets.Layout(width='auto', margin='0 0 10px 0')  # Adjust width and margin\n",
        ")\n",
        "\n",
        "# Define the feedback area and button\n",
        "feedback_label = widgets.HTML()\n",
        "submit_button = widgets.Button(description=\"Submit Answer\", layout=widgets.Layout(width='150px'))\n",
        "\n",
        "# Define the function to check the answer\n",
        "def check_answer(button):\n",
        "    if options_dropdown.value == \"The structure is unstable due to repulsive chemical interactions\":\n",
        "        feedback_label.value = \"<span style='color:green;'>Correct! The dip in the graph suggests instability in the region.</span>\"\n",
        "    else:\n",
        "        feedback_label.value = \"<span style='color:red;'>Incorrect. Try again! The dip in the graph suggests instability in the region.</span>\"\n",
        "\n",
        "# Link the button to the function\n",
        "submit_button.on_click(check_answer)\n",
        "\n",
        "# Display the question, options, and feedback area\n",
        "display(question_label, options_dropdown, submit_button, feedback_label)\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 401
        },
        "id": "kOblAo-xetgx",
        "outputId": "620f28ed-9a94-4e3f-dde5-df77121eb01a"
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "ModuleNotFoundError",
          "evalue": "No module named 'py3Dmol'",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-2-aae0b2bfebaf>\u001b[0m in \u001b[0;36m<cell line: 7>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mhashlib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mrandom\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mpy3Dmol\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mglob\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'py3Dmol'",
            "",
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0;32m\nNOTE: If your import is failing due to a missing package, you can\nmanually install dependencies using either !pip or !apt.\n\nTo view examples of installing some common dependencies, click the\n\"Open Examples\" button below.\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n"
          ],
          "errorDetails": {
            "actions": [
              {
                "action": "open_url",
                "actionText": "Open Examples",
                "url": "/notebooks/snippets/importing_libraries.ipynb"
              }
            ]
          }
        }
      ],
      "source": [
        "#@title Visualize Mutant Protein Structure and PLDDT\n",
        "from google.colab import files\n",
        "import os\n",
        "import re\n",
        "import hashlib\n",
        "import random\n",
        "import py3Dmol\n",
        "import glob\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "from sys import version_info\n",
        "python_version = f\"{version_info.major}.{version_info.minor}\"\n",
        "\n",
        "def add_hash(x,y):\n",
        "  return x+\"_\"+hashlib.sha1(y.encode()).hexdigest()[:5]\n",
        "\n",
        "query_sequence = 'MKHLTPEEKSAVTALWGKVNVDEVGGEALKKKDDKQRFFESFGDLSTPDAVMGNCKVKPDGKKVLGAFTDGLAHLDNLQGTFATLSELDCDKLHVDPENFRLLGNVLVCVLAHHFGKEFTPPVQAAYQKVVAGVANALAHKYH'\n",
        "jobname = 'test'\n",
        "# number of models to use\n",
        "num_relax = 0\n",
        "template_mode = \"none\"\n",
        "\n",
        "use_amber = num_relax > 0\n",
        "\n",
        "# remove whitespaces\n",
        "query_sequence = \"\".join(query_sequence.split())\n",
        "\n",
        "basejobname = \"\".join(jobname.split())\n",
        "basejobname = re.sub(r'\\W+', '', basejobname)\n",
        "jobname = add_hash(basejobname, query_sequence)\n",
        "\n",
        "# check if directory with jobname exists\n",
        "def check(folder):\n",
        "  if os.path.exists(folder):\n",
        "    return False\n",
        "  else:\n",
        "    return True\n",
        "if not check(jobname):\n",
        "  n = 0\n",
        "  while not check(f\"{jobname}_{n}\"): n += 1\n",
        "  jobname = f\"{jobname}_{n}\"\n",
        "\n",
        "# make directory to save results\n",
        "os.makedirs(jobname, exist_ok=True)\n",
        "\n",
        "# save queries\n",
        "queries_path = os.path.join(jobname, f\"{jobname}.csv\")\n",
        "with open(queries_path, \"w\") as text_file:\n",
        "  text_file.write(f\"id,sequence\\n{jobname},{query_sequence}\")\n",
        "\n",
        "if template_mode == \"pdb100\":\n",
        "  use_templates = True\n",
        "  custom_template_path = None\n",
        "elif template_mode == \"custom\":\n",
        "  custom_template_path = os.path.join(jobname,f\"template\")\n",
        "  os.makedirs(custom_template_path, exist_ok=True)\n",
        "  uploaded = files.upload()\n",
        "  use_templates = True\n",
        "  for fn in uploaded.keys():\n",
        "    os.rename(fn,os.path.join(custom_template_path,fn))\n",
        "else:\n",
        "  custom_template_path = None\n",
        "  use_templates = False\n",
        "\n",
        "print(\"jobname\",jobname)\n",
        "print(\"sequence\",query_sequence)\n",
        "print(\"length\",len(query_sequence.replace(\":\",\"\")))\n",
        "\n",
        "# Download pre-generated files from GitHub\n",
        "pdb_url = \"https://raw.githubusercontent.com/sasaigoli05/BIOL105-CompBioModule/main/test_b0a68_unrelaxed_rank_001_alphafold2_ptm_model_1_seed_000.pdb\"\n",
        "plddt_url = \"https://raw.githubusercontent.com/sasaigoli05/BIOL105-CompBioModule/main/Unknown.png\"\n",
        "\n",
        "# Download the files\n",
        "!wget -O mutant_protein.pdb $pdb_url\n",
        "!wget -O plddt_scores.png $plddt_url\n",
        "\n",
        "# Check if files are successfully downloaded\n",
        "if os.path.exists(\"mutant_protein.pdb\") and os.path.exists(\"plddt_scores.png\"):\n",
        "    print(\"Mutant Hemoglobin Structure Generated:\")\n",
        "\n",
        "    # Display 3D Structure with py3Dmol\n",
        "    import py3Dmol\n",
        "    view = py3Dmol.view(js='https://3dmol.org/build/3Dmol.js')\n",
        "    with open(\"mutant_protein.pdb\", 'r') as f:\n",
        "        view.addModel(f.read(), 'pdb')\n",
        "    view.setStyle({'cartoon': {'colorscheme': {'prop': 'b', 'gradient': 'roygb', 'min': 50, 'max': 90}}})\n",
        "    view.zoomTo()\n",
        "    view.show()\n",
        "\n",
        "    # Display precomputed pLDDT Chart\n",
        "    import matplotlib.pyplot as plt\n",
        "    img = plt.imread(\"plddt_scores.png\")\n",
        "    plt.imshow(img)\n",
        "    plt.axis('off')\n",
        "    plt.show()\n",
        "else:\n",
        "    print(\"Failed to download files.\")\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screenshot 2024-11-03 at 5.11.40 PM.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "ODYSmb8SFYva"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# This code is a function that looks for amino acid residues with specific functions, and prints it out for the user!\n",
        "def print_residues_by_category(category):\n",
        "    \"\"\"Prints residues and their charges based on the selected category.\"\"\"\n",
        "    residues_info = query_residues_by_category(mutant_sequence, category)\n",
        "    print(f\"Residues in the category '{category}':\")\n",
        "    for info in residues_info:\n",
        "        print(info)\n",
        "\n",
        "# Call the function with the desired code ('BPG_binding', 'iron_binding', 'hydrophobic_core', 'not_glycated', 'cleavage_sites')\n",
        "\n",
        "\n",
        "print_residues_by_category('BPG_binding') #THIS IS AN EXAMPLE, YOU SHOULD LOOK FOR THE RESIDUES WHICH ARE MUTATED\n",
        "print_residues_by_category('iron_binding') #THIS IS AN EXAMPLE, YOU SHOULD LOOK FOR THE RESIDUES WHICH ARE MUTATED\n",
        "print_residues_by_category('hydrophobic_core') #THIS IS AN EXAMPLE, YOU SHOULD LOOK FOR THE RESIDUES WHICH ARE MUTATED\n",
        "\n",
        "# Calculate the score for the modified sequence entered by the student\n",
        "binding_score = calculate_binding_score(mutant_sequence)\n",
        "print(f\"THE SEQUENCE HAS A BINDING SCORE OF: {binding_score}.\")\n",
        "print(\"A higher score means better oxygen binding!\")"
      ],
      "metadata": {
        "id": "uoLOgKJn9Fsl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d5b9e0d4-6ea5-43ba-f79a-88beb73d8dfd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Residues in the category 'BPG_binding':\n",
            "Position 2: K (positive)\n",
            "Position 3: H (positive)\n",
            "Position 83: A (neutral)\n",
            "Residues in the category 'iron_binding':\n",
            "Position 64: V (neutral)\n",
            "Position 93: L (neutral)\n",
            "Residues in the category 'hydrophobic_core':\n",
            "Position 30: K (positive)\n",
            "Position 31: K (positive)\n",
            "Position 32: K (positive)\n",
            "Position 33: D (negative)\n",
            "Position 34: D (negative)\n",
            "Position 35: K (positive)\n",
            "Position 36: Q (neutral)\n",
            "Position 37: R (positive)\n",
            "Position 38: F (neutral)\n",
            "Position 39: F (neutral)\n",
            "THE SEQUENCE HAS A BINDING SCORE OF: -5.\n",
            "A higher score means better oxygen binding!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screenshot 2024-11-03 at 5.25.41 PM.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "3kResangIxOd"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Mutant Sequence (for reference): MKHLTPEEKSAVTALWGKVNVDEVGGEALKKKDDKQRFFESFGDLSTPDAVMGNCKVKPDGKKVLGAFTDGLAHLDNLQGTFATLSELDCDKLHVDPENFRLLGNVLVCVLAHHFGKEFTPPVQAAYQKVVAGVANALAHKYH\n",
        "\n",
        "# Based on the residues determined above, make changes to the sequence that will improve the electrical interactions to optimize oxygen binding. (hint: use the guiding questions to help you)\n",
        "\n",
        "# The below cell initially contains the mutant Hemoglobin sequence. Make changes as you see fit to improve oxygen affinity and structural stability. The results will provide the oxygen affinity score, PLDDT chart, and 3D structure prediction (in that order).\n",
        "\n",
        "Use the below image to help count the residues (you may have to zoom)!\n",
        "\n",
        "![Screenshot 2024-11-16 at 11.28.36 AM.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "J3Oe2WQsMyJ0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Generate Guiding Questions 2-4.\n",
        "import ipywidgets as widgets\n",
        "from IPython.display import display, clear_output\n",
        "\n",
        "# Define the question and options with improved formatting\n",
        "question_text = \"\"\"\n",
        "<b>Guiding Question 2: What types of residues are contained in the hydrophobic core of protiens</b>\n",
        "\"\"\"\n",
        "\n",
        "options = [\n",
        "    \"positive\",  # Correct answer\n",
        "    \"negative\",\n",
        "    \"neutral\"\n",
        "]\n",
        "\n",
        "# Create widgets with improved layout\n",
        "question_label = widgets.HTML(value=question_text)\n",
        "\n",
        "options_dropdown = widgets.RadioButtons(\n",
        "    options=options,\n",
        "    description=\"Options:\",\n",
        "    layout=widgets.Layout(width='auto', margin='0 0 10px 0')  # Adjust width and margin\n",
        ")\n",
        "\n",
        "# Define the feedback area and button\n",
        "feedback_label = widgets.HTML()\n",
        "submit_button = widgets.Button(description=\"Submit Answer\", layout=widgets.Layout(width='150px'))\n",
        "\n",
        "# Define the function to check the answer\n",
        "def check_answer(button):\n",
        "    if options_dropdown.value == \"neutral\":\n",
        "        feedback_label.value = \"<span style='color:green;'>Correct! The inside of a protein is more neutral and hydrophobic, whereas the outside is positively and negatively charged and hydrophillic to interact with polar water molecules</span>\"\n",
        "    else:\n",
        "        feedback_label.value = \"<span style='color:red;'>Incorrect. Try again! The inside of a protein is more neutral and hydrophobic, whereas the outside is positively and negatively charged and hydrophillic to interact with polar water molecules</span>\"\n",
        "\n",
        "# Link the button to the function\n",
        "submit_button.on_click(check_answer)\n",
        "\n",
        "# Display the question, options, and feedback area\n",
        "display(question_label, options_dropdown, submit_button, feedback_label)\n",
        "\n",
        "#question 3\n",
        "\n",
        "# Define the question and options with improved formatting\n",
        "question_text = \"\"\"\n",
        "<b>Guiding Question 3: What type of molecule is 2,3-BPG?</b>\n",
        "\"\"\"\n",
        "\n",
        "options = [\n",
        "    \"large and negative\",  # Correct answer\n",
        "    \"large and positive\",\n",
        "    \"large and neutral\"\n",
        "]\n",
        "\n",
        "# Create widgets with improved layout\n",
        "question_label = widgets.HTML(value=question_text)\n",
        "\n",
        "options_dropdown = widgets.RadioButtons(\n",
        "    options=options,\n",
        "    description=\"Options:\",\n",
        "    layout=widgets.Layout(width='auto', margin='0 0 10px 0')  # Adjust width and margin\n",
        ")\n",
        "\n",
        "# Define the feedback area and button\n",
        "feedback_label = widgets.HTML()\n",
        "submit_button = widgets.Button(description=\"Submit Answer\", layout=widgets.Layout(width='150px'))\n",
        "\n",
        "# Define the function to check the answer\n",
        "def check_answer(button):\n",
        "    if options_dropdown.value == \"large and negative\":\n",
        "        feedback_label.value = \"<span style='color:green;'>Correct! 2,3-BPG is a large and negative molecule which is attracted to positive residues</span>\"\n",
        "    else:\n",
        "        feedback_label.value = \"<span style='color:red;'>Incorrect. Try again! 2,3-BPG is a large and negative molecule which is attracted to positive residues</span>\"\n",
        "\n",
        "# Link the button to the function\n",
        "submit_button.on_click(check_answer)\n",
        "\n",
        "# Display the question, options, and feedback area\n",
        "display(question_label, options_dropdown, submit_button, feedback_label)\n",
        "\n",
        "#question 4\n",
        "\n",
        "# Define the question and options with improved formatting\n",
        "question_text = \"\"\"\n",
        "<b>Guiding Question 4: Mutations of hemoglobin which improve 2,3-BPG binding will improve oxygen affinity</b>\n",
        "\"\"\"\n",
        "\n",
        "options = [\n",
        "    \"true\",\n",
        "    \"false\",\n",
        "]\n",
        "\n",
        "# Create widgets with improved layout\n",
        "question_label = widgets.HTML(value=question_text)\n",
        "\n",
        "options_dropdown = widgets.RadioButtons(\n",
        "    options=options,\n",
        "    description=\"Options:\",\n",
        "    layout=widgets.Layout(width='auto', margin='0 0 10px 0')  # Adjust width and margin\n",
        ")\n",
        "\n",
        "# Define the feedback area and button\n",
        "feedback_label = widgets.HTML()\n",
        "submit_button = widgets.Button(description=\"Submit Answer\", layout=widgets.Layout(width='150px'))\n",
        "\n",
        "# Define the function to check the answer\n",
        "def check_answer(button):\n",
        "    if options_dropdown.value == \"false\":\n",
        "        feedback_label.value = \"<span style='color:green;'>Correct! The binding 2,3-BPG decreases oxygen affinity</span>\"\n",
        "    else:\n",
        "        feedback_label.value = \"<span style='color:red;'>Incorrect. Try again! The binding 2,3-BPG decreases oxygen affinity</span>\"\n",
        "\n",
        "# Link the button to the function\n",
        "submit_button.on_click(check_answer)\n",
        "\n",
        "# Display the question, options, and feedback area\n",
        "display(question_label, options_dropdown, submit_button, feedback_label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473,
          "referenced_widgets": [
            "791db541f9994115aa86f73f47d2bc45",
            "42c8a07ce5964687ab19d9ba650324b3",
            "989d6e15abbc47d8a85f7e6e78165d09",
            "e90ae009834e4972b39b72e26eb8277c",
            "7db8491118ce4d688723ffbe869bdf90",
            "f2af5313ae924e2784dc18a8a2fa8440",
            "a4bd113187d84c378607240de05ed557",
            "3d40bb7a12b7404486b3bda97a706229",
            "3fe2a30fc6a849bdb15c0854abbdb1c7",
            "86423e7bc77643179ee5a26ae1b5ae6f",
            "deba8fb450ba45d2a73c0a92eae0ead2",
            "4199ab703f474febafa2fb9976aa6047",
            "14e6aaef71354e31ac1fd034112a2ef8",
            "acccc84a3bc145b3ad41d71b952d7024",
            "c51be4e5922e46ec8ca9e2e4a304c681",
            "1f0608b68b43442e92d1abadc5cfbfdd",
            "13fa38b1627841fc9487e00aef38b930",
            "bddda0a6d5584febb77d088498677774",
            "56e2852d9aa443f8b77eed68ec0841b2",
            "e6181fe657554fedb6c6ddebdc5284d2",
            "b00455b0c2e34185a7cc9a70bc0b57e2",
            "95ad6ed323504edca81f434174f39e92",
            "d3b6a1555a2a4371a319935958ca11ef",
            "18a477f5a72d40b8b91caf6ad5e7327b",
            "81c32fc6e8344eed870433782d62830c",
            "cbdea92a221c459e907eef78ca13d2a8",
            "38b05fbe8e904b8ba804a8279523bda5",
            "eb0ebf07948e40488816710ec8ef52d0",
            "387c4e17357f48c1a1d2b7f17a08649e",
            "0c2c217ca77945b3973b20e1c2c6abec",
            "8a5e0dfe555f476eb86648f8c9b4df63",
            "54f75c0e772b419892c3250492efdce9",
            "c87b9298d7814551baf3b47e9324a63d",
            "b27e8f7e7866458d8c94c8a7b87bc65d",
            "720f42fc187c4d75b9d7750c2f333a02",
            "d2ab2db787034ea6a76860e5484cea3b"
          ]
        },
        "cellView": "form",
        "id": "5DMDhALCQpfg",
        "outputId": "e1278f0b-c54a-4c94-b3e3-a9703475cd08"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "HTML(value='\\n<b>Guiding Question 2: What types of residues are contained in the hydrophobic core of protiens<…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "791db541f9994115aa86f73f47d2bc45"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "RadioButtons(description='Options:', layout=Layout(margin='0 0 10px 0', width='auto'), options=('positive', 'n…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e90ae009834e4972b39b72e26eb8277c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Submit Answer', layout=Layout(width='150px'), style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a4bd113187d84c378607240de05ed557"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "HTML(value='')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "86423e7bc77643179ee5a26ae1b5ae6f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
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        "#@title Visualize Mutant Protein Structure and PLDDT\n",
        "from google.colab import files\n",
        "import os\n",
        "import re\n",
        "import hashlib\n",
        "import random\n",
        "\n",
        "from sys import version_info\n",
        "python_version = f\"{version_info.major}.{version_info.minor}\"\n",
        "\n",
        "def add_hash(x,y):\n",
        "  return x+\"_\"+hashlib.sha1(y.encode()).hexdigest()[:5]\n",
        "\n",
        "query_sequence = 'MKHLTPEEKSAVTALWGKVNVLLLLMESFGDLSTPDAVMGNCKVKPDGKKVLGAFTDGLAHLDNLQGTFATLSELDCDKLHVDPENFRLLGNVLVCVLAHHFGKEFTPPVQAAYQKVVAGVANALAHKYH' #@param {type:\"string\"}\n",
        "jobname = 'test'\n",
        "# number of models to use\n",
        "num_relax = 0\n",
        "template_mode = \"none\"\n",
        "\n",
        "use_amber = num_relax > 0\n",
        "\n",
        "# remove whitespaces\n",
        "query_sequence = \"\".join(query_sequence.split())\n",
        "\n",
        "basejobname = \"\".join(jobname.split())\n",
        "basejobname = re.sub(r'\\W+', '', basejobname)\n",
        "jobname = add_hash(basejobname, query_sequence)\n",
        "\n",
        "# check if directory with jobname exists\n",
        "def check(folder):\n",
        "  if os.path.exists(folder):\n",
        "    return False\n",
        "  else:\n",
        "    return True\n",
        "if not check(jobname):\n",
        "  n = 0\n",
        "  while not check(f\"{jobname}_{n}\"): n += 1\n",
        "  jobname = f\"{jobname}_{n}\"\n",
        "\n",
        "# make directory to save results\n",
        "os.makedirs(jobname, exist_ok=True)\n",
        "\n",
        "# save queries\n",
        "queries_path = os.path.join(jobname, f\"{jobname}.csv\")\n",
        "with open(queries_path, \"w\") as text_file:\n",
        "  text_file.write(f\"id,sequence\\n{jobname},{query_sequence}\")\n",
        "\n",
        "if template_mode == \"pdb100\":\n",
        "  use_templates = True\n",
        "  custom_template_path = None\n",
        "elif template_mode == \"custom\":\n",
        "  custom_template_path = os.path.join(jobname,f\"template\")\n",
        "  os.makedirs(custom_template_path, exist_ok=True)\n",
        "  uploaded = files.upload()\n",
        "  use_templates = True\n",
        "  for fn in uploaded.keys():\n",
        "    os.rename(fn,os.path.join(custom_template_path,fn))\n",
        "else:\n",
        "  custom_template_path = None\n",
        "  use_templates = False\n",
        "\n",
        "print(\"jobname\",jobname)\n",
        "print(\"sequence\",query_sequence)\n",
        "print(\"length\",len(query_sequence.replace(\":\",\"\")))\n",
        "\n",
        "# oxygen binding function\n",
        "\n",
        "binding_score = calculate_binding_score(query_sequence)\n",
        "print(f\"THE SEQUENCE HAS A BINDING SCORE OF: {binding_score}.\")\n",
        "print(\"A higher score means better oxygen binding!\")\n",
        "\n",
        "# generate structure and plddt for modified\n",
        "\n",
        "\n",
        "display_images = True\n",
        "\n",
        "import sys\n",
        "import warnings\n",
        "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
        "from Bio import BiopythonDeprecationWarning\n",
        "warnings.simplefilter(action='ignore', category=BiopythonDeprecationWarning)\n",
        "from pathlib import Path\n",
        "from colabfold.download import download_alphafold_params, default_data_dir\n",
        "from colabfold.utils import setup_logging\n",
        "from colabfold.batch import get_queries, run, set_model_type\n",
        "from colabfold.plot import plot_msa_v2\n",
        "import py3Dmol\n",
        "import glob\n",
        "import matplotlib.pyplot as plt\n",
        "from colabfold.colabfold import plot_plddt_legend\n",
        "from colabfold.colabfold import pymol_color_list, alphabet_list\n",
        "rank_num = 1\n",
        "color = \"lDDT\"\n",
        "show_sidechains = False\n",
        "show_mainchains = False\n",
        "\n",
        "import os\n",
        "import numpy as np\n",
        "try:\n",
        "  K80_chk = os.popen('nvidia-smi | grep \"Tesla K80\" | wc -l').read()\n",
        "except:\n",
        "  K80_chk = \"0\"\n",
        "  pass\n",
        "if \"1\" in K80_chk:\n",
        "  print(\"WARNING: found GPU Tesla K80: limited to total length < 1000\")\n",
        "  if \"TF_FORCE_UNIFIED_MEMORY\" in os.environ:\n",
        "    del os.environ[\"TF_FORCE_UNIFIED_MEMORY\"]\n",
        "  if \"XLA_PYTHON_CLIENT_MEM_FRACTION\" in os.environ:\n",
        "    del os.environ[\"XLA_PYTHON_CLIENT_MEM_FRACTION\"]\n",
        "\n",
        "from colabfold.colabfold import plot_protein\n",
        "from pathlib import Path\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# For some reason we need that to get pdbfixer to import\n",
        "if use_amber and f\"/usr/local/lib/python{python_version}/site-packages/\" not in sys.path:\n",
        "    sys.path.insert(0, f\"/usr/local/lib/python{python_version}/site-packages/\")\n",
        "\n",
        "def input_features_callback(input_features):\n",
        "  if display_images:\n",
        "    plot_msa_v2(input_features)\n",
        "    plt.show()\n",
        "    plt.close()\n",
        "\n",
        "def prediction_callback(protein_obj, length,\n",
        "                        prediction_result, input_features, mode):\n",
        "  model_name, relaxed = mode\n",
        "  if not relaxed:\n",
        "    if display_images:\n",
        "      fig = plot_protein(protein_obj, Ls=length, dpi=150)\n",
        "      plt.show()\n",
        "      plt.close()\n",
        "\n",
        "result_dir = jobname\n",
        "log_filename = os.path.join(jobname,\"log.txt\")\n",
        "setup_logging(Path(log_filename))\n",
        "\n",
        "queries, is_complex = get_queries(queries_path)\n",
        "model_type = set_model_type(is_complex, model_type)\n",
        "\n",
        "if \"multimer\" in model_type and max_msa is not None:\n",
        "  use_cluster_profile = False\n",
        "else:\n",
        "  use_cluster_profile = True\n",
        "\n",
        "download_alphafold_params(model_type, Path(\".\"))\n",
        "results = run(\n",
        "    queries=queries,\n",
        "    result_dir=result_dir,\n",
        "    use_templates=use_templates,\n",
        "    custom_template_path=custom_template_path,\n",
        "    num_relax=num_relax,\n",
        "    msa_mode=msa_mode,\n",
        "    model_type=model_type,\n",
        "    num_models=1,\n",
        "    num_recycles=num_recycles,\n",
        "    relax_max_iterations=relax_max_iterations,\n",
        "    recycle_early_stop_tolerance=recycle_early_stop_tolerance,\n",
        "    num_seeds=num_seeds,\n",
        "    use_dropout=use_dropout,\n",
        "    model_order=[1],\n",
        "    is_complex=is_complex,\n",
        "    data_dir=Path(\".\"),\n",
        "    keep_existing_results=False,\n",
        "    rank_by=\"auto\",\n",
        "    pair_mode=pair_mode,\n",
        "    input_features_callback=input_features_callback,\n",
        "    stop_at_score=float(100),\n",
        "    dpi=dpi,\n",
        "    zip_results=False,\n",
        "    save_all=save_all,\n",
        "    max_msa=max_msa,\n",
        "    use_cluster_profile=use_cluster_profile,\n",
        "    save_recycles=save_recycles,\n",
        "    user_agent=\"colabfold/google-colab-main\",\n",
        ")\n",
        "results_zip = f\"{jobname}.result.zip\"\n",
        "os.system(f\"zip -r {results_zip} {jobname}\")\n",
        "\n",
        "# Generate PyMOL 3D structure\n",
        "\n",
        "\n",
        "tag = results[\"rank\"][0][rank_num - 1]\n",
        "jobname_prefix = \".custom\" if msa_mode == \"custom\" else \"\"\n",
        "pdb_filename = f\"{jobname}/{jobname}{jobname_prefix}_unrelaxed_{tag}.pdb\"\n",
        "pdb_file = glob.glob(pdb_filename)\n",
        "\n",
        "def show_pdb(rank_num=1, show_sidechains=False, show_mainchains=False, color=\"lDDT\"):\n",
        "  model_name = f\"rank_{rank_num}\"\n",
        "  view = py3Dmol.view(js='https://3dmol.org/build/3Dmol.js',)\n",
        "  view.addModel(open(pdb_file[0],'r').read(),'pdb')\n",
        "\n",
        "  if color == \"lDDT\":\n",
        "    view.setStyle({'cartoon': {'colorscheme': {'prop':'b','gradient': 'roygb','min':50,'max':90}}})\n",
        "  elif color == \"rainbow\":\n",
        "    view.setStyle({'cartoon': {'color':'spectrum'}})\n",
        "  elif color == \"chain\":\n",
        "    chains = len(queries[0][1]) + 1 if is_complex else 1\n",
        "    for n,chain,color in zip(range(chains),alphabet_list,pymol_color_list):\n",
        "       view.setStyle({'chain':chain},{'cartoon': {'color':color}})\n",
        "\n",
        "  if show_sidechains:\n",
        "    BB = ['C','O','N']\n",
        "    view.addStyle({'and':[{'resn':[\"GLY\",\"PRO\"],'invert':True},{'atom':BB,'invert':True}]},\n",
        "                        {'stick':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "    view.addStyle({'and':[{'resn':\"GLY\"},{'atom':'CA'}]},\n",
        "                        {'sphere':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "    view.addStyle({'and':[{'resn':\"PRO\"},{'atom':['C','O'],'invert':True}]},\n",
        "                        {'stick':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "  if show_mainchains:\n",
        "    BB = ['C','O','N','CA']\n",
        "    view.addStyle({'atom':BB},{'stick':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "\n",
        "  view.zoomTo()\n",
        "  return view\n",
        "\n",
        "show_pdb(rank_num, show_sidechains, show_mainchains, color).show()\n",
        "if color == \"lDDT\":\n",
        "  plot_plddt_legend().show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 276
        },
        "cellView": "form",
        "id": "PiKt94t4Jwqv",
        "outputId": "54087d90-359e-4633-8c2e-e0da6211480c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "jobname test_d3cf5\n",
            "sequence MKHLTPEEKSAVTALWGKVNVLLLLMESFGDLSTPDAVMGNCKVKPDGKKVLGAFTDGLAHLDNLQGTFATLSELDCDKLHVDPENFRLLGNVLVCVLAHHFGKEFTPPVQAAYQKVVAGVANALAHKYH\n",
            "length 130\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "name 'calculate_binding_score' is not defined",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-4-480e5ad9bc04>\u001b[0m in \u001b[0;36m<cell line: 68>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[0;31m# oxygen binding function\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m \u001b[0mbinding_score\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcalculate_binding_score\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquery_sequence\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"THE SEQUENCE HAS A BINDING SCORE OF: {binding_score}.\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"A higher score means better oxygen binding!\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mNameError\u001b[0m: name 'calculate_binding_score' is not defined"
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