AlphaFold2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "AlphaFold2.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    },
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G4yBrceuFbf3"
      },
      "source": [
        "<img src=\"https://raw.githubusercontent.com/sokrypton/ColabFold/main/.github/ColabFold_Marv_Logo_Small.png\" height=\"200\" align=\"right\" style=\"height:240px\">\n",
        "\n",
        "##ColabFold: AlphaFold2 using MMseqs2\n",
        "\n",
        "Easy to use protein structure and complex prediction using [AlphaFold2](https://www.nature.com/articles/s41586-021-03819-2) and [Alphafold2-multimer](https://www.biorxiv.org/content/10.1101/2021.10.04.463034v1). Sequence alignments/templates are generated through [MMseqs2](mmseqs.com) and [HHsearch](https://github.com/soedinglab/hh-suite). For more details, see <a href=\"#Instructions\">bottom</a> of the notebook, checkout the [ColabFold GitHub](https://github.com/sokrypton/ColabFold) and read our manuscript. Old versions: [v1.0](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.0-alpha/AlphaFold2.ipynb), [v1.1](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.1-premultimer/AlphaFold2.ipynb), [v1.2](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.2.0/AlphaFold2.ipynb), [v1.3](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.3.0/AlphaFold2.ipynb)\n",
        "\n",
        "[Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M. ColabFold: Making protein folding accessible to all.\n",
        "*Nature Methods*, 2022](https://www.nature.com/articles/s41592-022-01488-1) "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kOblAo-xetgx",
        "cellView": "form"
      },
      "source": [
        "#@title Input protein sequence(s), then hit `Runtime` -> `Run all`\n",
        "from google.colab import files\n",
        "import os.path\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 = 'PIAQIHILEGRSDEQKETLIREVSEAISRSLDAPLTSVRVIITEMAKGHFGIGGELASK' #@param {type:\"string\"}\n",
        "#@markdown  - Use `:` to specify inter-protein chainbreaks for **modeling complexes** (supports homo- and hetro-oligomers). For example **PI...SK:PI...SK** for a homodimer\n",
        "\n",
        "# remove whitespaces\n",
        "query_sequence = \"\".join(query_sequence.split())\n",
        "\n",
        "jobname = 'test' #@param {type:\"string\"}\n",
        "# remove whitespaces\n",
        "basejobname = \"\".join(jobname.split())\n",
        "basejobname = re.sub(r'\\W+', '', basejobname)\n",
        "jobname = add_hash(basejobname, query_sequence)\n",
        "while os.path.isfile(f\"{jobname}.csv\"):\n",
        "  jobname = add_hash(basejobname, ''.join(random.sample(query_sequence,len(query_sequence))))\n",
        "\n",
        "with open(f\"{jobname}.csv\", \"w\") as text_file:\n",
        "    text_file.write(f\"id,sequence\\n{jobname},{query_sequence}\")\n",
        "\n",
        "queries_path=f\"{jobname}.csv\"\n",
        "\n",
        "# number of models to use\n",
        "use_amber = False #@param {type:\"boolean\"}\n",
        "template_mode = \"none\" #@param [\"none\", \"pdb70\",\"custom\"]\n",
        "#@markdown - \"none\" = no template information is used, \"pdb70\" = detect templates in pdb70, \"custom\" - upload and search own templates (PDB or mmCIF format, see [notes below](#custom_templates))\n",
        "\n",
        "if template_mode == \"pdb70\":\n",
        "  use_templates = True\n",
        "  custom_template_path = None\n",
        "elif template_mode == \"custom\":\n",
        "  custom_template_path = f\"{jobname}_template\"\n",
        "  os.mkdir(custom_template_path)\n",
        "  uploaded = files.upload()\n",
        "  use_templates = True\n",
        "  for fn in uploaded.keys():\n",
        "    os.rename(fn, f\"{jobname}_template/{fn}\")\n",
        "else:\n",
        "  custom_template_path = None\n",
        "  use_templates = False\n"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown ### MSA options (custom MSA upload, single sequence, pairing mode)\n",
        "msa_mode = \"MMseqs2 (UniRef+Environmental)\" #@param [\"MMseqs2 (UniRef+Environmental)\", \"MMseqs2 (UniRef only)\",\"single_sequence\",\"custom\"]\n",
        "pair_mode = \"unpaired+paired\" #@param [\"unpaired+paired\",\"paired\",\"unpaired\"] {type:\"string\"}\n",
        "#@markdown - \"unpaired+paired\" = pair sequences from same species + unpaired MSA, \"unpaired\" = seperate MSA for each chain, \"paired\" - only use paired sequences.\n",
        "\n",
        "# decide which a3m to use\n",
        "if msa_mode.startswith(\"MMseqs2\"):\n",
        "  a3m_file = f\"{jobname}.a3m\"\n",
        "elif msa_mode == \"custom\":\n",
        "  a3m_file = 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",
        "else:\n",
        "  a3m_file = f\"{jobname}.single_sequence.a3m\"\n",
        "  with open(a3m_file, \"w\") as text_file:\n",
        "    text_file.write(\">1\\n%s\" % query_sequence)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "C2_sh2uAonJH"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown ### Advanced settings\n",
        "model_type = \"auto\" #@param [\"auto\", \"AlphaFold2-ptm\", \"AlphaFold2-multimer-v1\", \"AlphaFold2-multimer-v2\"]\n",
        "#@markdown - \"auto\" = protein structure prediction using \"AlphaFold2-ptm\" and complex prediction \"AlphaFold-multimer-v2\". For complexes \"AlphaFold-multimer-v[1,2]\" and \"AlphaFold-ptm\" can be used.\n",
        "num_recycles = 3 #@param [1,3,6,12,24,48] {type:\"raw\"}\n",
        "save_to_google_drive = False #@param {type:\"boolean\"}\n",
        "\n",
        "#@markdown -  if the save_to_google_drive option was selected, the result zip will be uploaded to your Google Drive\n",
        "dpi = 200 #@param {type:\"integer\"}\n",
        "#@markdown - set dpi for image resolution\n",
        "\n",
        "#@markdown Don't forget to hit `Runtime` -> `Run all` after updating the form.\n",
        "\n",
        "\n",
        "if save_to_google_drive:\n",
        "  from pydrive.drive import GoogleDrive\n",
        "  from pydrive.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!\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "ADDuaolKmjGW"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iccGdbe_Pmt9",
        "pycharm": {
          "name": "#%%\n"
        },
        "cellView": "form"
      },
      "source": [
        "#@title Install dependencies\n",
        "%%bash -s $use_amber $use_templates $python_version\n",
        "\n",
        "set -e\n",
        "\n",
        "USE_AMBER=$1\n",
        "USE_TEMPLATES=$2\n",
        "PYTHON_VERSION=$3\n",
        "\n",
        "if [ ! -f COLABFOLD_READY ]; then\n",
        "  # install dependencies\n",
        "  # We have to use \"--no-warn-conflicts\" because colab already has a lot preinstalled with requirements different to ours\n",
        "  pip install -q --no-warn-conflicts \"colabfold[alphafold-minus-jax] @ git+https://github.com/sokrypton/ColabFold\"\n",
        "  # high risk high gain\n",
        "  pip install -q \"jax[cuda11_cudnn805]>=0.3.8,<0.4\" -f https://storage.googleapis.com/jax-releases/jax_releases.html\n",
        "  touch COLABFOLD_READY\n",
        "fi\n",
        "\n",
        "# setup conda\n",
        "if [ ${USE_AMBER} == \"True\" ] || [ ${USE_TEMPLATES} == \"True\" ]; then\n",
        "  if [ ! -f CONDA_READY ]; then\n",
        "    wget -qnc https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n",
        "    bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local 2>&1 1>/dev/null\n",
        "    rm Miniconda3-latest-Linux-x86_64.sh\n",
        "    touch CONDA_READY\n",
        "  fi\n",
        "fi\n",
        "# setup template search\n",
        "if [ ${USE_TEMPLATES} == \"True\" ] && [ ! -f HH_READY ]; then\n",
        "  conda install -y -q -c conda-forge -c bioconda kalign2=2.04 hhsuite=3.3.0 python=\"${PYTHON_VERSION}\" 2>&1 1>/dev/null\n",
        "  touch HH_READY\n",
        "fi\n",
        "# setup openmm for amber refinement\n",
        "if [ ${USE_AMBER} == \"True\" ] && [ ! -f AMBER_READY ]; then\n",
        "  conda install -y -q -c conda-forge openmm=7.5.1 python=\"${PYTHON_VERSION}\" pdbfixer 2>&1 1>/dev/null\n",
        "  touch AMBER_READY\n",
        "fi"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_sztQyz29DIC",
        "cellView": "form",
        "outputId": "9b2c87b9-29c1-4b8e-fc65-322c5c0b8d7b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "#@title Run Prediction\n",
        "import sys\n",
        "import warnings\n",
        "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
        "\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",
        "K80_chk = !nvidia-smi | grep \"Tesla K80\" | wc -l\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",
        "\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 prediction_callback(unrelaxed_protein, length, prediction_result, input_features, type):\n",
        "  fig = plot_protein(unrelaxed_protein, Ls=length, dpi=150)\n",
        "  plt.show()\n",
        "  plt.close()\n",
        "\n",
        "result_dir=\".\"\n",
        "if 'logging_setup' not in globals():\n",
        "    setup_logging(Path(\".\").joinpath(\"log.txt\"))\n",
        "    logging_setup = True\n",
        "\n",
        "queries, is_complex = get_queries(queries_path)\n",
        "model_type = set_model_type(is_complex, model_type)\n",
        "download_alphafold_params(model_type, Path(\".\"))\n",
        "run(\n",
        "    queries=queries,\n",
        "    result_dir=result_dir,\n",
        "    use_templates=use_templates,\n",
        "    custom_template_path=custom_template_path,\n",
        "    use_amber=use_amber,\n",
        "    msa_mode=msa_mode,    \n",
        "    model_type=model_type,\n",
        "    num_models=5,\n",
        "    num_recycles=num_recycles,\n",
        "    model_order=[1, 2, 3, 4, 5],\n",
        "    is_complex=is_complex,\n",
        "    data_dir=Path(\".\"),\n",
        "    keep_existing_results=False,\n",
        "    recompile_padding=1.0,\n",
        "    rank_by=\"auto\",\n",
        "    pair_mode=pair_mode,\n",
        "    stop_at_score=float(100),\n",
        "    prediction_callback=prediction_callback,\n",
        "    dpi=dpi\n",
        ")"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/Bio/Data/SCOPData.py:18: BiopythonDeprecationWarning: The 'Bio.Data.SCOPData' module will be deprecated in a future release of Biopython in favor of 'Bio.Data.PDBData.\n",
            "  warnings.warn(\n",
            "Downloading alphafold2 weights to .: 100%|██████████| 3.47G/3.47G [02:35<00:00, 24.0MB/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2022-12-17 19:41:24,404 Found 5 citations for tools or databases\n",
            "2022-12-17 19:41:24,425 Unable to initialize backend 'tpu_driver': NOT_FOUND: Unable to find driver in registry given worker: \n",
            "2022-12-17 19:41:25,287 Unable to initialize backend 'rocm': NOT_FOUND: Could not find registered platform with name: \"rocm\". Available platform names are: Host Interpreter CUDA\n",
            "2022-12-17 19:41:25,289 Unable to initialize backend 'tpu': module 'jaxlib.xla_extension' has no attribute 'get_tpu_client'\n",
            "2022-12-17 19:41:25,290 Unable to initialize backend 'plugin': xla_extension has no attributes named get_plugin_device_client. Compile TensorFlow with //tensorflow/compiler/xla/python:enable_plugin_device set to true (defaults to false) to enable this.\n",
            "2022-12-17 19:41:30,739 Query 1/1: test_a5e17 (length 59)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "COMPLETE: 100%|██████████| 150/150 [elapsed: 00:00 remaining: 00:00]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2022-12-17 19:41:31,936 Running model_1\n",
            "2022-12-17 19:42:23,717 model_1 took 48.2s (3 recycles) with pLDDT 95.5 and ptmscore 0.752\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2022-12-17 19:42:26,581 Running model_2\n",
            "2022-12-17 19:42:43,578 model_2 took 15.0s (3 recycles) with pLDDT 96.4 and ptmscore 0.764\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2022-12-17 19:42:45,588 Running model_3\n",
            "2022-12-17 19:43:02,847 model_3 took 15.1s (3 recycles) with pLDDT 97.4 and ptmscore 0.782\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2022-12-17 19:43:04,886 Running model_4\n",
            "2022-12-17 19:43:22,117 model_4 took 15.3s (3 recycles) with pLDDT 96.8 and ptmscore 0.775\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2022-12-17 19:43:24,206 Running model_5\n",
            "2022-12-17 19:43:41,622 model_5 took 15.4s (3 recycles) with pLDDT 96.2 and ptmscore 0.776\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2022-12-17 19:43:43,661 reranking models by plddt\n",
            "2022-12-17 19:43:45,387 Done\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KK7X9T44pWb7",
        "cellView": "form",
        "outputId": "5d97f9c1-2a1c-440d-dd51-ea8c6edfc4c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        }
      },
      "source": [
        "#@title Display 3D structure {run: \"auto\"}\n",
        "import py3Dmol\n",
        "import glob\n",
        "import matplotlib.pyplot as plt\n",
        "from colabfold.colabfold import plot_plddt_legend\n",
        "rank_num = 1 #@param [\"1\", \"2\", \"3\", \"4\", \"5\"] {type:\"raw\"}\n",
        "color = \"lDDT\" #@param [\"chain\", \"lDDT\", \"rainbow\"]\n",
        "show_sidechains = False #@param {type:\"boolean\"}\n",
        "show_mainchains = False #@param {type:\"boolean\"}\n",
        "\n",
        "jobname_prefix = \".custom\" if msa_mode == \"custom\" else \"\"\n",
        "if use_amber:\n",
        "  pdb_filename = f\"{jobname}{jobname_prefix}_relaxed_rank_{rank_num}_model_*.pdb\"\n",
        "else:\n",
        "  pdb_filename = f\"{jobname}{jobname_prefix}_unrelaxed_rank_{rank_num}_model_*.pdb\"\n",
        "\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),list(\"ABCDEFGH\"),\n",
        "                     [\"lime\",\"cyan\",\"magenta\",\"yellow\",\"salmon\",\"white\",\"blue\",\"orange\"]):\n",
        "      view.setStyle({'chain':chain},{'cartoon': {'color':color}})\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",
        "\n",
        "show_pdb(rank_num,show_sidechains, show_mainchains, color).show()\n",
        "if color == \"lDDT\":\n",
        "  plot_plddt_legend().show() "
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_1671306225413614\"  style=\"position: relative; width: 640px; height: 480px\">\n        <p id=\"3dmolwarning_1671306225413614\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n      resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\n}\n\nvar viewer_1671306225413614 = null;\nvar warn = document.getElementById(\"3dmolwarning_1671306225413614\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_1671306225413614 = $3Dmol.createViewer($(\"#3dmolviewer_1671306225413614\"),{backgroundColor:\"white\"});\nviewer_1671306225413614.zoomTo();\n\tviewer_1671306225413614.addModel(\"MODEL     1                                                                     \\nATOM      1  N   PRO A   1       4.113   2.954 -13.940  1.00 97.40           N  \\nATOM      2  CA  PRO A   1       2.785   2.550 -13.474  1.00 97.40           C  \\nATOM      3  C   PRO A   1       2.514   2.968 -12.030  1.00 97.40           C  \\nATOM      4  CB  PRO A   1       2.814   1.025 -13.605  1.00 97.40           C  \\nATOM      5  O   PRO A   1       3.404   2.880 -11.181  1.00 97.40           O  \\nATOM      6  CG  PRO A   1       3.924   0.745 -14.566  1.00 97.40           C  \\nATOM      7  CD  PRO A   1       4.994   1.781 -14.374  1.00 97.40           C  \\nATOM      8  N   ILE A   2       1.404   3.595 -11.900  1.00 98.43           N  \\nATOM      9  CA  ILE A   2       1.032   4.026 -10.557  1.00 98.43           C  \\nATOM     10  C   ILE A   2      -0.196   3.250 -10.086  1.00 98.43           C  \\nATOM     11  CB  ILE A   2       0.756   5.546 -10.508  1.00 98.43           C  \\nATOM     12  O   ILE A   2      -1.193   3.156 -10.807  1.00 98.43           O  \\nATOM     13  CG1 ILE A   2       2.013   6.330 -10.902  1.00 98.43           C  \\nATOM     14  CG2 ILE A   2       0.265   5.961  -9.118  1.00 98.43           C  \\nATOM     15  CD1 ILE A   2       1.774   7.820 -11.106  1.00 98.43           C  \\nATOM     16  N   ALA A   3      -0.116   2.625  -8.903  1.00 98.51           N  \\nATOM     17  CA  ALA A   3      -1.247   1.970  -8.251  1.00 98.51           C  \\nATOM     18  C   ALA A   3      -1.660   2.718  -6.987  1.00 98.51           C  \\nATOM     19  CB  ALA A   3      -0.903   0.520  -7.918  1.00 98.51           C  \\nATOM     20  O   ALA A   3      -0.812   3.089  -6.172  1.00 98.51           O  \\nATOM     21  N   GLN A   4      -2.946   3.088  -6.964  1.00 98.68           N  \\nATOM     22  CA  GLN A   4      -3.530   3.654  -5.752  1.00 98.68           C  \\nATOM     23  C   GLN A   4      -4.454   2.651  -5.067  1.00 98.68           C  \\nATOM     24  CB  GLN A   4      -4.295   4.938  -6.074  1.00 98.68           C  \\nATOM     25  O   GLN A   4      -5.385   2.133  -5.686  1.00 98.68           O  \\nATOM     26  CG  GLN A   4      -3.407   6.080  -6.550  1.00 98.68           C  \\nATOM     27  CD  GLN A   4      -4.186   7.351  -6.833  1.00 98.68           C  \\nATOM     28  NE2 GLN A   4      -4.327   8.199  -5.820  1.00 98.68           N  \\nATOM     29  OE1 GLN A   4      -4.657   7.569  -7.954  1.00 98.68           O  \\nATOM     30  N   ILE A   5      -4.108   2.426  -3.830  1.00 98.29           N  \\nATOM     31  CA  ILE A   5      -4.879   1.453  -3.063  1.00 98.29           C  \\nATOM     32  C   ILE A   5      -5.484   2.128  -1.834  1.00 98.29           C  \\nATOM     33  CB  ILE A   5      -4.008   0.249  -2.640  1.00 98.29           C  \\nATOM     34  O   ILE A   5      -4.770   2.761  -1.052  1.00 98.29           O  \\nATOM     35  CG1 ILE A   5      -3.394  -0.424  -3.873  1.00 98.29           C  \\nATOM     36  CG2 ILE A   5      -4.831  -0.751  -1.823  1.00 98.29           C  \\nATOM     37  CD1 ILE A   5      -2.376  -1.508  -3.543  1.00 98.29           C  \\nATOM     38  N   HIS A   6      -6.788   2.039  -1.773  1.00 97.64           N  \\nATOM     39  CA  HIS A   6      -7.516   2.510  -0.600  1.00 97.64           C  \\nATOM     40  C   HIS A   6      -7.912   1.349   0.306  1.00 97.64           C  \\nATOM     41  CB  HIS A   6      -8.760   3.294  -1.022  1.00 97.64           C  \\nATOM     42  O   HIS A   6      -8.537   0.388  -0.147  1.00 97.64           O  \\nATOM     43  CG  HIS A   6      -8.453   4.534  -1.800  1.00 97.64           C  \\nATOM     44  CD2 HIS A   6      -8.379   5.830  -1.415  1.00 97.64           C  \\nATOM     45  ND1 HIS A   6      -8.180   4.517  -3.151  1.00 97.64           N  \\nATOM     46  CE1 HIS A   6      -7.949   5.752  -3.563  1.00 97.64           C  \\nATOM     47  NE2 HIS A   6      -8.064   6.568  -2.529  1.00 97.64           N  \\nATOM     48  N   ILE A   7      -7.512   1.481   1.585  1.00 97.30           N  \\nATOM     49  CA  ILE A   7      -7.828   0.440   2.556  1.00 97.30           C  \\nATOM     50  C   ILE A   7      -8.296   1.077   3.862  1.00 97.30           C  \\nATOM     51  CB  ILE A   7      -6.613  -0.480   2.814  1.00 97.30           C  \\nATOM     52  O   ILE A   7      -8.075   2.268   4.094  1.00 97.30           O  \\nATOM     53  CG1 ILE A   7      -5.469   0.314   3.456  1.00 97.30           C  \\nATOM     54  CG2 ILE A   7      -6.154  -1.146   1.514  1.00 97.30           C  \\nATOM     55  CD1 ILE A   7      -4.280  -0.540   3.872  1.00 97.30           C  \\nATOM     56  N   LEU A   8      -9.065   0.320   4.637  1.00 96.81           N  \\nATOM     57  CA  LEU A   8      -9.374   0.787   5.985  1.00 96.81           C  \\nATOM     58  C   LEU A   8      -8.116   0.829   6.847  1.00 96.81           C  \\nATOM     59  CB  LEU A   8     -10.423  -0.116   6.637  1.00 96.81           C  \\nATOM     60  O   LEU A   8      -7.203   0.022   6.659  1.00 96.81           O  \\nATOM     61  CG  LEU A   8     -11.837  -0.040   6.059  1.00 96.81           C  \\nATOM     62  CD1 LEU A   8     -12.725  -1.110   6.686  1.00 96.81           C  \\nATOM     63  CD2 LEU A   8     -12.430   1.348   6.274  1.00 96.81           C  \\nATOM     64  N   GLU A   9      -8.082   1.712   7.796  1.00 96.62           N  \\nATOM     65  CA  GLU A   9      -6.960   1.783   8.728  1.00 96.62           C  \\nATOM     66  C   GLU A   9      -6.898   0.540   9.612  1.00 96.62           C  \\nATOM     67  CB  GLU A   9      -7.059   3.041   9.595  1.00 96.62           C  \\nATOM     68  O   GLU A   9      -7.875  -0.205   9.714  1.00 96.62           O  \\nATOM     69  CG  GLU A   9      -8.241   3.035  10.554  1.00 96.62           C  \\nATOM     70  CD  GLU A   9      -8.343   4.302  11.388  1.00 96.62           C  \\nATOM     71  OE1 GLU A   9      -9.169   4.346  12.327  1.00 96.62           O  \\nATOM     72  OE2 GLU A   9      -7.591   5.260  11.098  1.00 96.62           O  \\nATOM     73  N   GLY A  10      -5.707   0.242  10.163  1.00 96.64           N  \\nATOM     74  CA  GLY A  10      -5.613  -0.827  11.145  1.00 96.64           C  \\nATOM     75  C   GLY A  10      -4.641  -1.920  10.745  1.00 96.64           C  \\nATOM     76  O   GLY A  10      -4.338  -2.811  11.542  1.00 96.64           O  \\nATOM     77  N   ARG A  11      -4.112  -1.773   9.526  1.00 97.81           N  \\nATOM     78  CA  ARG A  11      -3.112  -2.761   9.135  1.00 97.81           C  \\nATOM     79  C   ARG A  11      -1.732  -2.382   9.662  1.00 97.81           C  \\nATOM     80  CB  ARG A  11      -3.068  -2.908   7.612  1.00 97.81           C  \\nATOM     81  O   ARG A  11      -1.423  -1.198   9.814  1.00 97.81           O  \\nATOM     82  CG  ARG A  11      -4.401  -3.299   6.993  1.00 97.81           C  \\nATOM     83  CD  ARG A  11      -5.091  -4.399   7.788  1.00 97.81           C  \\nATOM     84  NE  ARG A  11      -6.393  -4.738   7.220  1.00 97.81           N  \\nATOM     85  NH1 ARG A  11      -6.898  -6.340   8.806  1.00 97.81           N  \\nATOM     86  NH2 ARG A  11      -8.382  -5.882   7.120  1.00 97.81           N  \\nATOM     87  CZ  ARG A  11      -7.221  -5.653   7.717  1.00 97.81           C  \\nATOM     88  N   SER A  12      -0.946  -3.431   9.979  1.00 98.41           N  \\nATOM     89  CA  SER A  12       0.408  -3.193  10.468  1.00 98.41           C  \\nATOM     90  C   SER A  12       1.314  -2.674   9.356  1.00 98.41           C  \\nATOM     91  CB  SER A  12       0.997  -4.473  11.062  1.00 98.41           C  \\nATOM     92  O   SER A  12       1.008  -2.836   8.173  1.00 98.41           O  \\nATOM     93  OG  SER A  12       1.266  -5.422  10.045  1.00 98.41           O  \\nATOM     94  N   ASP A  13       2.453  -2.093   9.713  1.00 98.28           N  \\nATOM     95  CA  ASP A  13       3.441  -1.650   8.734  1.00 98.28           C  \\nATOM     96  C   ASP A  13       3.948  -2.821   7.896  1.00 98.28           C  \\nATOM     97  CB  ASP A  13       4.614  -0.957   9.432  1.00 98.28           C  \\nATOM     98  O   ASP A  13       4.198  -2.671   6.698  1.00 98.28           O  \\nATOM     99  CG  ASP A  13       4.262   0.426   9.952  1.00 98.28           C  \\nATOM    100  OD1 ASP A  13       3.159   0.929   9.648  1.00 98.28           O  \\nATOM    101  OD2 ASP A  13       5.096   1.018  10.670  1.00 98.28           O  \\nATOM    102  N   GLU A  14       4.084  -3.988   8.541  1.00 98.63           N  \\nATOM    103  CA  GLU A  14       4.535  -5.180   7.831  1.00 98.63           C  \\nATOM    104  C   GLU A  14       3.554  -5.572   6.730  1.00 98.63           C  \\nATOM    105  CB  GLU A  14       4.726  -6.346   8.805  1.00 98.63           C  \\nATOM    106  O   GLU A  14       3.964  -5.917   5.620  1.00 98.63           O  \\nATOM    107  CG  GLU A  14       5.885  -6.156   9.772  1.00 98.63           C  \\nATOM    108  CD  GLU A  14       5.557  -5.222  10.926  1.00 98.63           C  \\nATOM    109  OE1 GLU A  14       6.495  -4.679  11.553  1.00 98.63           O  \\nATOM    110  OE2 GLU A  14       4.353  -5.031  11.206  1.00 98.63           O  \\nATOM    111  N   GLN A  15       2.304  -5.546   7.014  1.00 98.65           N  \\nATOM    112  CA  GLN A  15       1.290  -5.871   6.017  1.00 98.65           C  \\nATOM    113  C   GLN A  15       1.307  -4.866   4.868  1.00 98.65           C  \\nATOM    114  CB  GLN A  15      -0.099  -5.913   6.657  1.00 98.65           C  \\nATOM    115  O   GLN A  15       1.204  -5.248   3.701  1.00 98.65           O  \\nATOM    116  CG  GLN A  15      -0.319  -7.112   7.569  1.00 98.65           C  \\nATOM    117  CD  GLN A  15      -1.663  -7.076   8.271  1.00 98.65           C  \\nATOM    118  NE2 GLN A  15      -2.536  -8.018   7.930  1.00 98.65           N  \\nATOM    119  OE1 GLN A  15      -1.915  -6.210   9.114  1.00 98.65           O  \\nATOM    120  N   LYS A  16       1.445  -3.597   5.163  1.00 98.67           N  \\nATOM    121  CA  LYS A  16       1.498  -2.563   4.133  1.00 98.67           C  \\nATOM    122  C   LYS A  16       2.737  -2.723   3.257  1.00 98.67           C  \\nATOM    123  CB  LYS A  16       1.481  -1.172   4.767  1.00 98.67           C  \\nATOM    124  O   LYS A  16       2.663  -2.575   2.035  1.00 98.67           O  \\nATOM    125  CG  LYS A  16       0.171  -0.823   5.459  1.00 98.67           C  \\nATOM    126  CD  LYS A  16       0.190   0.597   6.010  1.00 98.67           C  \\nATOM    127  CE  LYS A  16       0.950   0.677   7.327  1.00 98.67           C  \\nATOM    128  NZ  LYS A  16       0.910   2.052   7.908  1.00 98.67           N  \\nATOM    129  N   GLU A  17       3.852  -3.140   3.910  1.00 98.65           N  \\nATOM    130  CA  GLU A  17       5.074  -3.401   3.156  1.00 98.65           C  \\nATOM    131  C   GLU A  17       4.888  -4.569   2.191  1.00 98.65           C  \\nATOM    132  CB  GLU A  17       6.242  -3.683   4.105  1.00 98.65           C  \\nATOM    133  O   GLU A  17       5.314  -4.501   1.037  1.00 98.65           O  \\nATOM    134  CG  GLU A  17       7.581  -3.847   3.401  1.00 98.65           C  \\nATOM    135  CD  GLU A  17       8.740  -4.069   4.360  1.00 98.65           C  \\nATOM    136  OE1 GLU A  17       9.895  -4.202   3.896  1.00 98.65           O  \\nATOM    137  OE2 GLU A  17       8.490  -4.111   5.585  1.00 98.65           O  \\nATOM    138  N   THR A  18       4.284  -5.601   2.772  1.00 98.72           N  \\nATOM    139  CA  THR A  18       4.038  -6.777   1.944  1.00 98.72           C  \\nATOM    140  C   THR A  18       3.132  -6.429   0.766  1.00 98.72           C  \\nATOM    141  CB  THR A  18       3.403  -7.915   2.765  1.00 98.72           C  \\nATOM    142  O   THR A  18       3.396  -6.836  -0.367  1.00 98.72           O  \\nATOM    143  CG2 THR A  18       3.102  -9.125   1.887  1.00 98.72           C  \\nATOM    144  OG1 THR A  18       4.307  -8.307   3.806  1.00 98.72           O  \\nATOM    145  N   LEU A  19       2.072  -5.665   1.011  1.00 98.68           N  \\nATOM    146  CA  LEU A  19       1.154  -5.242  -0.040  1.00 98.68           C  \\nATOM    147  C   LEU A  19       1.888  -4.448  -1.116  1.00 98.68           C  \\nATOM    148  CB  LEU A  19       0.019  -4.399   0.547  1.00 98.68           C  \\nATOM    149  O   LEU A  19       1.741  -4.728  -2.308  1.00 98.68           O  \\nATOM    150  CG  LEU A  19      -1.004  -3.850  -0.450  1.00 98.68           C  \\nATOM    151  CD1 LEU A  19      -1.670  -4.993  -1.208  1.00 98.68           C  \\nATOM    152  CD2 LEU A  19      -2.045  -2.998   0.267  1.00 98.68           C  \\nATOM    153  N   ILE A  20       2.699  -3.476  -0.742  1.00 98.75           N  \\nATOM    154  CA  ILE A  20       3.435  -2.632  -1.677  1.00 98.75           C  \\nATOM    155  C   ILE A  20       4.353  -3.495  -2.540  1.00 98.75           C  \\nATOM    156  CB  ILE A  20       4.254  -1.550  -0.939  1.00 98.75           C  \\nATOM    157  O   ILE A  20       4.412  -3.323  -3.759  1.00 98.75           O  \\nATOM    158  CG1 ILE A  20       3.322  -0.489  -0.341  1.00 98.75           C  \\nATOM    159  CG2 ILE A  20       5.279  -0.911  -1.881  1.00 98.75           C  \\nATOM    160  CD1 ILE A  20       4.003   0.444   0.651  1.00 98.75           C  \\nATOM    161  N   ARG A  21       5.017  -4.478  -1.940  1.00 98.76           N  \\nATOM    162  CA  ARG A  21       5.935  -5.357  -2.657  1.00 98.76           C  \\nATOM    163  C   ARG A  21       5.189  -6.221  -3.668  1.00 98.76           C  \\nATOM    164  CB  ARG A  21       6.705  -6.245  -1.677  1.00 98.76           C  \\nATOM    165  O   ARG A  21       5.576  -6.291  -4.837  1.00 98.76           O  \\nATOM    166  CG  ARG A  21       7.706  -7.175  -2.344  1.00 98.76           C  \\nATOM    167  CD  ARG A  21       8.480  -7.997  -1.323  1.00 98.76           C  \\nATOM    168  NE  ARG A  21       7.585  -8.747  -0.445  1.00 98.76           N  \\nATOM    169  NH1 ARG A  21       7.074 -10.369  -2.009  1.00 98.76           N  \\nATOM    170  NH2 ARG A  21       6.149 -10.458   0.087  1.00 98.76           N  \\nATOM    171  CZ  ARG A  21       6.938  -9.856  -0.791  1.00 98.76           C  \\nATOM    172  N   GLU A  22       4.169  -6.737  -3.226  1.00 98.75           N  \\nATOM    173  CA  GLU A  22       3.456  -7.685  -4.077  1.00 98.75           C  \\nATOM    174  C   GLU A  22       2.784  -6.977  -5.250  1.00 98.75           C  \\nATOM    175  CB  GLU A  22       2.415  -8.460  -3.264  1.00 98.75           C  \\nATOM    176  O   GLU A  22       2.820  -7.468  -6.381  1.00 98.75           O  \\nATOM    177  CG  GLU A  22       3.017  -9.447  -2.275  1.00 98.75           C  \\nATOM    178  CD  GLU A  22       3.550 -10.709  -2.936  1.00 98.75           C  \\nATOM    179  OE1 GLU A  22       4.437 -11.371  -2.352  1.00 98.75           O  \\nATOM    180  OE2 GLU A  22       3.076 -11.037  -4.046  1.00 98.75           O  \\nATOM    181  N   VAL A  23       2.165  -5.881  -5.046  1.00 98.66           N  \\nATOM    182  CA  VAL A  23       1.523  -5.109  -6.105  1.00 98.66           C  \\nATOM    183  C   VAL A  23       2.573  -4.627  -7.103  1.00 98.66           C  \\nATOM    184  CB  VAL A  23       0.738  -3.907  -5.534  1.00 98.66           C  \\nATOM    185  O   VAL A  23       2.376  -4.724  -8.317  1.00 98.66           O  \\nATOM    186  CG1 VAL A  23       0.289  -2.973  -6.657  1.00 98.66           C  \\nATOM    187  CG2 VAL A  23      -0.463  -4.390  -4.724  1.00 98.66           C  \\nATOM    188  N   SER A  24       3.676  -4.083  -6.594  1.00 98.78           N  \\nATOM    189  CA  SER A  24       4.750  -3.616  -7.465  1.00 98.78           C  \\nATOM    190  C   SER A  24       5.240  -4.730  -8.384  1.00 98.78           C  \\nATOM    191  CB  SER A  24       5.917  -3.076  -6.637  1.00 98.78           C  \\nATOM    192  O   SER A  24       5.381  -4.529  -9.592  1.00 98.78           O  \\nATOM    193  OG  SER A  24       5.518  -1.943  -5.886  1.00 98.78           O  \\nATOM    194  N   GLU A  25       5.464  -5.970  -7.821  1.00 98.80           N  \\nATOM    195  CA  GLU A  25       5.948  -7.114  -8.589  1.00 98.80           C  \\nATOM    196  C   GLU A  25       4.916  -7.562  -9.620  1.00 98.80           C  \\nATOM    197  CB  GLU A  25       6.299  -8.277  -7.657  1.00 98.80           C  \\nATOM    198  O   GLU A  25       5.269  -7.901 -10.752  1.00 98.80           O  \\nATOM    199  CG  GLU A  25       7.567  -8.054  -6.846  1.00 98.80           C  \\nATOM    200  CD  GLU A  25       7.851  -9.172  -5.856  1.00 98.80           C  \\nATOM    201  OE1 GLU A  25       8.923  -9.153  -5.210  1.00 98.80           O  \\nATOM    202  OE2 GLU A  25       6.994 -10.074  -5.725  1.00 98.80           O  \\nATOM    203  N   ALA A  26       3.669  -7.539  -9.192  1.00 98.77           N  \\nATOM    204  CA  ALA A  26       2.602  -7.930 -10.109  1.00 98.77           C  \\nATOM    205  C   ALA A  26       2.539  -6.990 -11.309  1.00 98.77           C  \\nATOM    206  CB  ALA A  26       1.259  -7.953  -9.384  1.00 98.77           C  \\nATOM    207  O   ALA A  26       2.423  -7.439 -12.452  1.00 98.77           O  \\nATOM    208  N   ILE A  27       2.606  -5.752 -11.071  1.00 98.74           N  \\nATOM    209  CA  ILE A  27       2.536  -4.752 -12.132  1.00 98.74           C  \\nATOM    210  C   ILE A  27       3.756  -4.879 -13.042  1.00 98.74           C  \\nATOM    211  CB  ILE A  27       2.444  -3.322 -11.555  1.00 98.74           C  \\nATOM    212  O   ILE A  27       3.625  -4.881 -14.268  1.00 98.74           O  \\nATOM    213  CG1 ILE A  27       1.067  -3.089 -10.921  1.00 98.74           C  \\nATOM    214  CG2 ILE A  27       2.728  -2.282 -12.643  1.00 98.74           C  \\nATOM    215  CD1 ILE A  27       0.944  -1.766 -10.178  1.00 98.74           C  \\nATOM    216  N   SER A  28       4.915  -4.907 -12.393  1.00 98.71           N  \\nATOM    217  CA  SER A  28       6.141  -5.043 -13.172  1.00 98.71           C  \\nATOM    218  C   SER A  28       6.081  -6.258 -14.091  1.00 98.71           C  \\nATOM    219  CB  SER A  28       7.355  -5.151 -12.248  1.00 98.71           C  \\nATOM    220  O   SER A  28       6.387  -6.160 -15.281  1.00 98.71           O  \\nATOM    221  OG  SER A  28       8.543  -5.334 -12.998  1.00 98.71           O  \\nATOM    222  N   ARG A  29       5.644  -7.410 -13.575  1.00 98.57           N  \\nATOM    223  CA  ARG A  29       5.577  -8.654 -14.336  1.00 98.57           C  \\nATOM    224  C   ARG A  29       4.523  -8.568 -15.434  1.00 98.57           C  \\nATOM    225  CB  ARG A  29       5.276  -9.835 -13.411  1.00 98.57           C  \\nATOM    226  O   ARG A  29       4.757  -9.006 -16.563  1.00 98.57           O  \\nATOM    227  CG  ARG A  29       6.476 -10.309 -12.607  1.00 98.57           C  \\nATOM    228  CD  ARG A  29       6.218 -11.659 -11.952  1.00 98.57           C  \\nATOM    229  NE  ARG A  29       5.064 -11.614 -11.058  1.00 98.57           N  \\nATOM    230  NH1 ARG A  29       5.030 -13.887 -10.649  1.00 98.57           N  \\nATOM    231  NH2 ARG A  29       3.477 -12.517  -9.666  1.00 98.57           N  \\nATOM    232  CZ  ARG A  29       4.526 -12.673 -10.460  1.00 98.57           C  \\nATOM    233  N   SER A  30       3.445  -8.008 -15.212  1.00 98.62           N  \\nATOM    234  CA  SER A  30       2.295  -8.007 -16.110  1.00 98.62           C  \\nATOM    235  C   SER A  30       2.501  -7.041 -17.273  1.00 98.62           C  \\nATOM    236  CB  SER A  30       1.021  -7.637 -15.350  1.00 98.62           C  \\nATOM    237  O   SER A  30       2.048  -7.300 -18.389  1.00 98.62           O  \\nATOM    238  OG  SER A  30       0.717  -8.616 -14.371  1.00 98.62           O  \\nATOM    239  N   LEU A  31       3.216  -6.018 -16.973  1.00 98.37           N  \\nATOM    240  CA  LEU A  31       3.318  -4.971 -17.984  1.00 98.37           C  \\nATOM    241  C   LEU A  31       4.745  -4.862 -18.511  1.00 98.37           C  \\nATOM    242  CB  LEU A  31       2.870  -3.625 -17.409  1.00 98.37           C  \\nATOM    243  O   LEU A  31       5.043  -3.993 -19.333  1.00 98.37           O  \\nATOM    244  CG  LEU A  31       1.424  -3.546 -16.916  1.00 98.37           C  \\nATOM    245  CD1 LEU A  31       1.116  -2.145 -16.398  1.00 98.37           C  \\nATOM    246  CD2 LEU A  31       0.457  -3.934 -18.030  1.00 98.37           C  \\nATOM    247  N   ASP A  32       5.606  -5.749 -18.068  1.00 98.13           N  \\nATOM    248  CA  ASP A  32       7.012  -5.714 -18.455  1.00 98.13           C  \\nATOM    249  C   ASP A  32       7.614  -4.332 -18.212  1.00 98.13           C  \\nATOM    250  CB  ASP A  32       7.174  -6.106 -19.926  1.00 98.13           C  \\nATOM    251  O   ASP A  32       8.327  -3.800 -19.066  1.00 98.13           O  \\nATOM    252  CG  ASP A  32       8.600  -6.482 -20.286  1.00 98.13           C  \\nATOM    253  OD1 ASP A  32       9.357  -6.926 -19.395  1.00 98.13           O  \\nATOM    254  OD2 ASP A  32       8.972  -6.331 -21.470  1.00 98.13           O  \\nATOM    255  N   ALA A  33       7.319  -3.699 -17.114  1.00 98.44           N  \\nATOM    256  CA  ALA A  33       7.894  -2.429 -16.677  1.00 98.44           C  \\nATOM    257  C   ALA A  33       8.943  -2.648 -15.590  1.00 98.44           C  \\nATOM    258  CB  ALA A  33       6.797  -1.494 -16.173  1.00 98.44           C  \\nATOM    259  O   ALA A  33       8.858  -3.607 -14.820  1.00 98.44           O  \\nATOM    260  N   PRO A  34      10.059  -1.803 -15.673  1.00 98.53           N  \\nATOM    261  CA  PRO A  34      11.027  -1.913 -14.580  1.00 98.53           C  \\nATOM    262  C   PRO A  34      10.394  -1.696 -13.207  1.00 98.53           C  \\nATOM    263  CB  PRO A  34      12.040  -0.809 -14.894  1.00 98.53           C  \\nATOM    264  O   PRO A  34       9.586  -0.780 -13.034  1.00 98.53           O  \\nATOM    265  CG  PRO A  34      11.815  -0.483 -16.335  1.00 98.53           C  \\nATOM    266  CD  PRO A  34      10.382  -0.777 -16.673  1.00 98.53           C  \\nATOM    267  N   LEU A  35      10.752  -2.521 -12.281  1.00 98.40           N  \\nATOM    268  CA  LEU A  35      10.225  -2.443 -10.923  1.00 98.40           C  \\nATOM    269  C   LEU A  35      10.456  -1.058 -10.328  1.00 98.40           C  \\nATOM    270  CB  LEU A  35      10.873  -3.508 -10.034  1.00 98.40           C  \\nATOM    271  O   LEU A  35       9.603  -0.538  -9.605  1.00 98.40           O  \\nATOM    272  CG  LEU A  35      10.239  -3.721  -8.659  1.00 98.40           C  \\nATOM    273  CD1 LEU A  35       8.807  -4.226  -8.808  1.00 98.40           C  \\nATOM    274  CD2 LEU A  35      11.071  -4.694  -7.831  1.00 98.40           C  \\nATOM    275  N   THR A  36      11.497  -0.455 -10.723  1.00 98.39           N  \\nATOM    276  CA  THR A  36      11.904   0.835 -10.177  1.00 98.39           C  \\nATOM    277  C   THR A  36      10.964   1.942 -10.645  1.00 98.39           C  \\nATOM    278  CB  THR A  36      13.350   1.181 -10.581  1.00 98.39           C  \\nATOM    279  O   THR A  36      10.941   3.030 -10.067  1.00 98.39           O  \\nATOM    280  CG2 THR A  36      14.345   0.217  -9.944  1.00 98.39           C  \\nATOM    281  OG1 THR A  36      13.473   1.104 -12.007  1.00 98.39           O  \\nATOM    282  N   SER A  37      10.257   1.688 -11.731  1.00 98.41           N  \\nATOM    283  CA  SER A  37       9.347   2.694 -12.268  1.00 98.41           C  \\nATOM    284  C   SER A  37       7.962   2.579 -11.640  1.00 98.41           C  \\nATOM    285  CB  SER A  37       9.240   2.564 -13.788  1.00 98.41           C  \\nATOM    286  O   SER A  37       7.100   3.430 -11.865  1.00 98.41           O  \\nATOM    287  OG  SER A  37       8.504   1.406 -14.142  1.00 98.41           O  \\nATOM    288  N   VAL A  38       7.635   1.580 -10.794  1.00 98.67           N  \\nATOM    289  CA  VAL A  38       6.322   1.324 -10.212  1.00 98.67           C  \\nATOM    290  C   VAL A  38       6.182   2.087  -8.897  1.00 98.67           C  \\nATOM    291  CB  VAL A  38       6.087  -0.185  -9.980  1.00 98.67           C  \\nATOM    292  O   VAL A  38       7.058   2.013  -8.033  1.00 98.67           O  \\nATOM    293  CG1 VAL A  38       4.737  -0.425  -9.307  1.00 98.67           C  \\nATOM    294  CG2 VAL A  38       6.172  -0.947 -11.302  1.00 98.67           C  \\nATOM    295  N   ARG A  39       5.172   2.882  -8.762  1.00 98.71           N  \\nATOM    296  CA  ARG A  39       4.818   3.581  -7.531  1.00 98.71           C  \\nATOM    297  C   ARG A  39       3.507   3.054  -6.958  1.00 98.71           C  \\nATOM    298  CB  ARG A  39       4.713   5.088  -7.779  1.00 98.71           C  \\nATOM    299  O   ARG A  39       2.527   2.888  -7.688  1.00 98.71           O  \\nATOM    300  CG  ARG A  39       5.985   5.711  -8.332  1.00 98.71           C  \\nATOM    301  CD  ARG A  39       7.087   5.769  -7.283  1.00 98.71           C  \\nATOM    302  NE  ARG A  39       8.266   6.473  -7.779  1.00 98.71           N  \\nATOM    303  NH1 ARG A  39       9.318   4.577  -8.576  1.00 98.71           N  \\nATOM    304  NH2 ARG A  39      10.321   6.627  -8.793  1.00 98.71           N  \\nATOM    305  CZ  ARG A  39       9.299   5.891  -8.382  1.00 98.71           C  \\nATOM    306  N   VAL A  40       3.475   2.697  -5.687  1.00 98.69           N  \\nATOM    307  CA  VAL A  40       2.278   2.257  -4.978  1.00 98.69           C  \\nATOM    308  C   VAL A  40       1.969   3.223  -3.837  1.00 98.69           C  \\nATOM    309  CB  VAL A  40       2.439   0.820  -4.431  1.00 98.69           C  \\nATOM    310  O   VAL A  40       2.817   3.469  -2.976  1.00 98.69           O  \\nATOM    311  CG1 VAL A  40       1.178   0.381  -3.690  1.00 98.69           C  \\nATOM    312  CG2 VAL A  40       2.761  -0.149  -5.567  1.00 98.69           C  \\nATOM    313  N   ILE A  41       0.813   3.759  -3.885  1.00 98.69           N  \\nATOM    314  CA  ILE A  41       0.349   4.687  -2.859  1.00 98.69           C  \\nATOM    315  C   ILE A  41      -0.798   4.056  -2.073  1.00 98.69           C  \\nATOM    316  CB  ILE A  41      -0.100   6.032  -3.475  1.00 98.69           C  \\nATOM    317  O   ILE A  41      -1.810   3.656  -2.653  1.00 98.69           O  \\nATOM    318  CG1 ILE A  41       1.027   6.633  -4.323  1.00 98.69           C  \\nATOM    319  CG2 ILE A  41      -0.540   7.007  -2.379  1.00 98.69           C  \\nATOM    320  CD1 ILE A  41       0.577   7.766  -5.236  1.00 98.69           C  \\nATOM    321  N   ILE A  42      -0.598   3.932  -0.762  1.00 98.56           N  \\nATOM    322  CA  ILE A  42      -1.649   3.437   0.120  1.00 98.56           C  \\nATOM    323  C   ILE A  42      -2.297   4.608   0.857  1.00 98.56           C  \\nATOM    324  CB  ILE A  42      -1.100   2.406   1.131  1.00 98.56           C  \\nATOM    325  O   ILE A  42      -1.609   5.398   1.507  1.00 98.56           O  \\nATOM    326  CG1 ILE A  42      -0.527   1.189   0.395  1.00 98.56           C  \\nATOM    327  CG2 ILE A  42      -2.191   1.984   2.119  1.00 98.56           C  \\nATOM    328  CD1 ILE A  42       0.148   0.175   1.307  1.00 98.56           C  \\nATOM    329  N   THR A  43      -3.604   4.754   0.619  1.00 98.15           N  \\nATOM    330  CA  THR A  43      -4.416   5.693   1.384  1.00 98.15           C  \\nATOM    331  C   THR A  43      -5.301   4.953   2.384  1.00 98.15           C  \\nATOM    332  CB  THR A  43      -5.294   6.556   0.459  1.00 98.15           C  \\nATOM    333  O   THR A  43      -6.122   4.120   1.996  1.00 98.15           O  \\nATOM    334  CG2 THR A  43      -6.073   7.598   1.255  1.00 98.15           C  \\nATOM    335  OG1 THR A  43      -4.458   7.226  -0.493  1.00 98.15           O  \\nATOM    336  N   GLU A  44      -5.089   5.301   3.635  1.00 97.73           N  \\nATOM    337  CA  GLU A  44      -5.878   4.676   4.692  1.00 97.73           C  \\nATOM    338  C   GLU A  44      -7.065   5.551   5.086  1.00 97.73           C  \\nATOM    339  CB  GLU A  44      -5.006   4.390   5.918  1.00 97.73           C  \\nATOM    340  O   GLU A  44      -6.923   6.766   5.241  1.00 97.73           O  \\nATOM    341  CG  GLU A  44      -3.892   3.386   5.659  1.00 97.73           C  \\nATOM    342  CD  GLU A  44      -3.014   3.137   6.875  1.00 97.73           C  \\nATOM    343  OE1 GLU A  44      -3.301   2.195   7.649  1.00 97.73           O  \\nATOM    344  OE2 GLU A  44      -2.032   3.891   7.056  1.00 97.73           O  \\nATOM    345  N   MET A  45      -8.256   4.811   5.191  1.00 97.02           N  \\nATOM    346  CA  MET A  45      -9.480   5.500   5.590  1.00 97.02           C  \\nATOM    347  C   MET A  45      -9.915   5.071   6.987  1.00 97.02           C  \\nATOM    348  CB  MET A  45     -10.602   5.228   4.587  1.00 97.02           C  \\nATOM    349  O   MET A  45     -10.003   3.876   7.275  1.00 97.02           O  \\nATOM    350  CG  MET A  45     -10.311   5.743   3.187  1.00 97.02           C  \\nATOM    351  SD  MET A  45     -11.583   5.227   1.969  1.00 97.02           S  \\nATOM    352  CE  MET A  45     -11.223   3.452   1.862  1.00 97.02           C  \\nATOM    353  N   ALA A  46     -10.087   6.122   7.786  1.00 96.99           N  \\nATOM    354  CA  ALA A  46     -10.724   5.827   9.066  1.00 96.99           C  \\nATOM    355  C   ALA A  46     -12.081   5.159   8.863  1.00 96.99           C  \\nATOM    356  CB  ALA A  46     -10.881   7.103   9.890  1.00 96.99           C  \\nATOM    357  O   ALA A  46     -12.767   5.423   7.873  1.00 96.99           O  \\nATOM    358  N   LYS A  47     -12.515   4.273   9.750  1.00 95.22           N  \\nATOM    359  CA  LYS A  47     -13.755   3.514   9.614  1.00 95.22           C  \\nATOM    360  C   LYS A  47     -14.966   4.441   9.587  1.00 95.22           C  \\nATOM    361  CB  LYS A  47     -13.893   2.504  10.753  1.00 95.22           C  \\nATOM    362  O   LYS A  47     -15.999   4.106   9.003  1.00 95.22           O  \\nATOM    363  CG  LYS A  47     -12.859   1.388  10.721  1.00 95.22           C  \\nATOM    364  CD  LYS A  47     -13.073   0.394  11.855  1.00 95.22           C  \\nATOM    365  CE  LYS A  47     -12.024  -0.709  11.838  1.00 95.22           C  \\nATOM    366  NZ  LYS A  47     -12.224  -1.682  12.954  1.00 95.22           N  \\nATOM    367  N   GLY A  48     -14.905   5.586  10.150  1.00 96.30           N  \\nATOM    368  CA  GLY A  48     -15.987   6.557  10.136  1.00 96.30           C  \\nATOM    369  C   GLY A  48     -16.042   7.371   8.856  1.00 96.30           C  \\nATOM    370  O   GLY A  48     -16.962   8.168   8.660  1.00 96.30           O  \\nATOM    371  N   HIS A  49     -15.154   7.208   7.966  1.00 95.44           N  \\nATOM    372  CA  HIS A  49     -15.073   7.959   6.719  1.00 95.44           C  \\nATOM    373  C   HIS A  49     -15.378   7.069   5.519  1.00 95.44           C  \\nATOM    374  CB  HIS A  49     -13.690   8.594   6.564  1.00 95.44           C  \\nATOM    375  O   HIS A  49     -15.276   7.509   4.371  1.00 95.44           O  \\nATOM    376  CG  HIS A  49     -13.356   9.575   7.642  1.00 95.44           C  \\nATOM    377  CD2 HIS A  49     -14.034   9.937   8.756  1.00 95.44           C  \\nATOM    378  ND1 HIS A  49     -12.195  10.318   7.638  1.00 95.44           N  \\nATOM    379  CE1 HIS A  49     -12.174  11.096   8.708  1.00 95.44           C  \\nATOM    380  NE2 HIS A  49     -13.278  10.883   9.403  1.00 95.44           N  \\nATOM    381  N   PHE A  50     -15.689   5.790   5.824  1.00 95.85           N  \\nATOM    382  CA  PHE A  50     -15.919   4.856   4.728  1.00 95.85           C  \\nATOM    383  C   PHE A  50     -17.255   4.142   4.897  1.00 95.85           C  \\nATOM    384  CB  PHE A  50     -14.783   3.832   4.645  1.00 95.85           C  \\nATOM    385  O   PHE A  50     -17.531   3.571   5.954  1.00 95.85           O  \\nATOM    386  CG  PHE A  50     -14.773   3.039   3.366  1.00 95.85           C  \\nATOM    387  CD1 PHE A  50     -15.221   1.724   3.344  1.00 95.85           C  \\nATOM    388  CD2 PHE A  50     -14.316   3.610   2.185  1.00 95.85           C  \\nATOM    389  CE1 PHE A  50     -15.213   0.988   2.161  1.00 95.85           C  \\nATOM    390  CE2 PHE A  50     -14.305   2.880   0.999  1.00 95.85           C  \\nATOM    391  CZ  PHE A  50     -14.753   1.569   0.990  1.00 95.85           C  \\nATOM    392  N   GLY A  51     -18.127   4.220   3.838  1.00 95.09           N  \\nATOM    393  CA  GLY A  51     -19.420   3.555   3.839  1.00 95.09           C  \\nATOM    394  C   GLY A  51     -19.461   2.328   2.947  1.00 95.09           C  \\nATOM    395  O   GLY A  51     -18.876   2.323   1.862  1.00 95.09           O  \\nATOM    396  N   ILE A  52     -20.028   1.279   3.499  1.00 94.56           N  \\nATOM    397  CA  ILE A  52     -20.292   0.070   2.727  1.00 94.56           C  \\nATOM    398  C   ILE A  52     -21.789  -0.230   2.733  1.00 94.56           C  \\nATOM    399  CB  ILE A  52     -19.501  -1.137   3.279  1.00 94.56           C  \\nATOM    400  O   ILE A  52     -22.376  -0.468   3.791  1.00 94.56           O  \\nATOM    401  CG1 ILE A  52     -18.012  -0.792   3.397  1.00 94.56           C  \\nATOM    402  CG2 ILE A  52     -19.709  -2.369   2.393  1.00 94.56           C  \\nATOM    403  CD1 ILE A  52     -17.208  -1.790   4.218  1.00 94.56           C  \\nATOM    404  N   GLY A  53     -22.434  -0.184   1.584  1.00 94.84           N  \\nATOM    405  CA  GLY A  53     -23.863  -0.449   1.523  1.00 94.84           C  \\nATOM    406  C   GLY A  53     -24.688   0.542   2.323  1.00 94.84           C  \\nATOM    407  O   GLY A  53     -25.696   0.172   2.928  1.00 94.84           O  \\nATOM    408  N   GLY A  54     -24.308   1.779   2.454  1.00 96.19           N  \\nATOM    409  CA  GLY A  54     -25.052   2.832   3.125  1.00 96.19           C  \\nATOM    410  C   GLY A  54     -24.753   2.922   4.610  1.00 96.19           C  \\nATOM    411  O   GLY A  54     -25.394   3.687   5.333  1.00 96.19           O  \\nATOM    412  N   GLU A  55     -23.844   2.100   5.200  1.00 97.16           N  \\nATOM    413  CA  GLU A  55     -23.478   2.094   6.613  1.00 97.16           C  \\nATOM    414  C   GLU A  55     -21.987   2.362   6.798  1.00 97.16           C  \\nATOM    415  CB  GLU A  55     -23.856   0.759   7.261  1.00 97.16           C  \\nATOM    416  O   GLU A  55     -21.166   1.921   5.991  1.00 97.16           O  \\nATOM    417  CG  GLU A  55     -25.354   0.491   7.287  1.00 97.16           C  \\nATOM    418  CD  GLU A  55     -25.732  -0.717   8.129  1.00 97.16           C  \\nATOM    419  OE1 GLU A  55     -26.943  -0.955   8.340  1.00 97.16           O  \\nATOM    420  OE2 GLU A  55     -24.810  -1.431   8.583  1.00 97.16           O  \\nATOM    421  N   LEU A  56     -21.748   3.119   7.825  1.00 95.96           N  \\nATOM    422  CA  LEU A  56     -20.347   3.363   8.150  1.00 95.96           C  \\nATOM    423  C   LEU A  56     -19.599   2.050   8.356  1.00 95.96           C  \\nATOM    424  CB  LEU A  56     -20.231   4.233   9.404  1.00 95.96           C  \\nATOM    425  O   LEU A  56     -20.136   1.112   8.950  1.00 95.96           O  \\nATOM    426  CG  LEU A  56     -20.552   5.718   9.231  1.00 95.96           C  \\nATOM    427  CD1 LEU A  56     -20.589   6.414  10.588  1.00 95.96           C  \\nATOM    428  CD2 LEU A  56     -19.533   6.382   8.311  1.00 95.96           C  \\nATOM    429  N   ALA A  57     -18.361   2.063   7.868  1.00 93.86           N  \\nATOM    430  CA  ALA A  57     -17.540   0.875   8.086  1.00 93.86           C  \\nATOM    431  C   ALA A  57     -17.265   0.662   9.572  1.00 93.86           C  \\nATOM    432  CB  ALA A  57     -16.226   0.987   7.316  1.00 93.86           C  \\nATOM    433  O   ALA A  57     -16.929  -0.446   9.996  1.00 93.86           O  \\nATOM    434  N   SER A  58     -17.432   1.664  10.295  1.00 93.29           N  \\nATOM    435  CA  SER A  58     -17.229   1.587  11.738  1.00 93.29           C  \\nATOM    436  C   SER A  58     -18.376   0.850  12.420  1.00 93.29           C  \\nATOM    437  CB  SER A  58     -17.086   2.988  12.335  1.00 93.29           C  \\nATOM    438  O   SER A  58     -18.237   0.388  13.555  1.00 93.29           O  \\nATOM    439  OG  SER A  58     -18.237   3.770  12.064  1.00 93.29           O  \\nATOM    440  N   LYS A  59     -19.528   0.792  11.671  1.00 84.54           N  \\nATOM    441  CA  LYS A  59     -20.684   0.132  12.271  1.00 84.54           C  \\nATOM    442  C   LYS A  59     -20.725  -1.348  11.904  1.00 84.54           C  \\nATOM    443  CB  LYS A  59     -21.980   0.817  11.833  1.00 84.54           C  \\nATOM    444  O   LYS A  59     -21.090  -2.188  12.729  1.00 84.54           O  \\nATOM    445  CG  LYS A  59     -22.205   2.181  12.468  1.00 84.54           C  \\nATOM    446  CD  LYS A  59     -23.595   2.720  12.157  1.00 84.54           C  \\nATOM    447  CE  LYS A  59     -23.829   4.076  12.809  1.00 84.54           C  \\nATOM    448  NZ  LYS A  59     -25.195   4.604  12.515  1.00 84.54           N  \\nTER     449      LYS A  59                                                      \\nENDMDL                                                                          \\nEND                                                                             \\n\",\"pdb\");\n\tviewer_1671306225413614.setStyle({\"cartoon\": {\"colorscheme\": {\"prop\": \"b\", \"gradient\": \"roygb\", \"min\": 50, \"max\": 90}}});\n\tviewer_1671306225413614.zoomTo();\nviewer_1671306225413614.render();\n});\n</script>",
            "text/html": [
              "<div id=\"3dmolviewer_1671306225413614\"  style=\"position: relative; width: 640px; height: 480px\">\n",
              "        <p id=\"3dmolwarning_1671306225413614\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
              "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
              "        </div>\n",
              "<script>\n",
              "\n",
              "var loadScriptAsync = function(uri){\n",
              "  return new Promise((resolve, reject) => {\n",
              "    var tag = document.createElement('script');\n",
              "    tag.src = uri;\n",
              "    tag.async = true;\n",
              "    tag.onload = () => {\n",
              "      resolve();\n",
              "    };\n",
              "  var firstScriptTag = document.getElementsByTagName('script')[0];\n",
              "  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
              "});\n",
              "};\n",
              "\n",
              "if(typeof $3Dmolpromise === 'undefined') {\n",
              "$3Dmolpromise = null;\n",
              "  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\n",
              "}\n",
              "\n",
              "var viewer_1671306225413614 = null;\n",
              "var warn = document.getElementById(\"3dmolwarning_1671306225413614\");\n",
              "if(warn) {\n",
              "    warn.parentNode.removeChild(warn);\n",
              "}\n",
              "$3Dmolpromise.then(function() {\n",
              "viewer_1671306225413614 = $3Dmol.createViewer($(\"#3dmolviewer_1671306225413614\"),{backgroundColor:\"white\"});\n",
              "viewer_1671306225413614.zoomTo();\n",
              "\tviewer_1671306225413614.addModel(\"MODEL     1                                                                     \\nATOM      1  N   PRO A   1       4.113   2.954 -13.940  1.00 97.40           N  \\nATOM      2  CA  PRO A   1       2.785   2.550 -13.474  1.00 97.40           C  \\nATOM      3  C   PRO A   1       2.514   2.968 -12.030  1.00 97.40           C  \\nATOM      4  CB  PRO A   1       2.814   1.025 -13.605  1.00 97.40           C  \\nATOM      5  O   PRO A   1       3.404   2.880 -11.181  1.00 97.40           O  \\nATOM      6  CG  PRO A   1       3.924   0.745 -14.566  1.00 97.40           C  \\nATOM      7  CD  PRO A   1       4.994   1.781 -14.374  1.00 97.40           C  \\nATOM      8  N   ILE A   2       1.404   3.595 -11.900  1.00 98.43           N  \\nATOM      9  CA  ILE A   2       1.032   4.026 -10.557  1.00 98.43           C  \\nATOM     10  C   ILE A   2      -0.196   3.250 -10.086  1.00 98.43           C  \\nATOM     11  CB  ILE A   2       0.756   5.546 -10.508  1.00 98.43           C  \\nATOM     12  O   ILE A   2      -1.193   3.156 -10.807  1.00 98.43           O  \\nATOM     13  CG1 ILE A   2       2.013   6.330 -10.902  1.00 98.43           C  \\nATOM     14  CG2 ILE A   2       0.265   5.961  -9.118  1.00 98.43           C  \\nATOM     15  CD1 ILE A   2       1.774   7.820 -11.106  1.00 98.43           C  \\nATOM     16  N   ALA A   3      -0.116   2.625  -8.903  1.00 98.51           N  \\nATOM     17  CA  ALA A   3      -1.247   1.970  -8.251  1.00 98.51           C  \\nATOM     18  C   ALA A   3      -1.660   2.718  -6.987  1.00 98.51           C  \\nATOM     19  CB  ALA A   3      -0.903   0.520  -7.918  1.00 98.51           C  \\nATOM     20  O   ALA A   3      -0.812   3.089  -6.172  1.00 98.51           O  \\nATOM     21  N   GLN A   4      -2.946   3.088  -6.964  1.00 98.68           N  \\nATOM     22  CA  GLN A   4      -3.530   3.654  -5.752  1.00 98.68           C  \\nATOM     23  C   GLN A   4      -4.454   2.651  -5.067  1.00 98.68           C  \\nATOM     24  CB  GLN A   4      -4.295   4.938  -6.074  1.00 98.68           C  \\nATOM     25  O   GLN A   4      -5.385   2.133  -5.686  1.00 98.68           O  \\nATOM     26  CG  GLN A   4      -3.407   6.080  -6.550  1.00 98.68           C  \\nATOM     27  CD  GLN A   4      -4.186   7.351  -6.833  1.00 98.68           C  \\nATOM     28  NE2 GLN A   4      -4.327   8.199  -5.820  1.00 98.68           N  \\nATOM     29  OE1 GLN A   4      -4.657   7.569  -7.954  1.00 98.68           O  \\nATOM     30  N   ILE A   5      -4.108   2.426  -3.830  1.00 98.29           N  \\nATOM     31  CA  ILE A   5      -4.879   1.453  -3.063  1.00 98.29           C  \\nATOM     32  C   ILE A   5      -5.484   2.128  -1.834  1.00 98.29           C  \\nATOM     33  CB  ILE A   5      -4.008   0.249  -2.640  1.00 98.29           C  \\nATOM     34  O   ILE A   5      -4.770   2.761  -1.052  1.00 98.29           O  \\nATOM     35  CG1 ILE A   5      -3.394  -0.424  -3.873  1.00 98.29           C  \\nATOM     36  CG2 ILE A   5      -4.831  -0.751  -1.823  1.00 98.29           C  \\nATOM     37  CD1 ILE A   5      -2.376  -1.508  -3.543  1.00 98.29           C  \\nATOM     38  N   HIS A   6      -6.788   2.039  -1.773  1.00 97.64           N  \\nATOM     39  CA  HIS A   6      -7.516   2.510  -0.600  1.00 97.64           C  \\nATOM     40  C   HIS A   6      -7.912   1.349   0.306  1.00 97.64           C  \\nATOM     41  CB  HIS A   6      -8.760   3.294  -1.022  1.00 97.64           C  \\nATOM     42  O   HIS A   6      -8.537   0.388  -0.147  1.00 97.64           O  \\nATOM     43  CG  HIS A   6      -8.453   4.534  -1.800  1.00 97.64           C  \\nATOM     44  CD2 HIS A   6      -8.379   5.830  -1.415  1.00 97.64           C  \\nATOM     45  ND1 HIS A   6      -8.180   4.517  -3.151  1.00 97.64           N  \\nATOM     46  CE1 HIS A   6      -7.949   5.752  -3.563  1.00 97.64           C  \\nATOM     47  NE2 HIS A   6      -8.064   6.568  -2.529  1.00 97.64           N  \\nATOM     48  N   ILE A   7      -7.512   1.481   1.585  1.00 97.30           N  \\nATOM     49  CA  ILE A   7      -7.828   0.440   2.556  1.00 97.30           C  \\nATOM     50  C   ILE A   7      -8.296   1.077   3.862  1.00 97.30           C  \\nATOM     51  CB  ILE A   7      -6.613  -0.480   2.814  1.00 97.30           C  \\nATOM     52  O   ILE A   7      -8.075   2.268   4.094  1.00 97.30           O  \\nATOM     53  CG1 ILE A   7      -5.469   0.314   3.456  1.00 97.30           C  \\nATOM     54  CG2 ILE A   7      -6.154  -1.146   1.514  1.00 97.30           C  \\nATOM     55  CD1 ILE A   7      -4.280  -0.540   3.872  1.00 97.30           C  \\nATOM     56  N   LEU A   8      -9.065   0.320   4.637  1.00 96.81           N  \\nATOM     57  CA  LEU A   8      -9.374   0.787   5.985  1.00 96.81           C  \\nATOM     58  C   LEU A   8      -8.116   0.829   6.847  1.00 96.81           C  \\nATOM     59  CB  LEU A   8     -10.423  -0.116   6.637  1.00 96.81           C  \\nATOM     60  O   LEU A   8      -7.203   0.022   6.659  1.00 96.81           O  \\nATOM     61  CG  LEU A   8     -11.837  -0.040   6.059  1.00 96.81           C  \\nATOM     62  CD1 LEU A   8     -12.725  -1.110   6.686  1.00 96.81           C  \\nATOM     63  CD2 LEU A   8     -12.430   1.348   6.274  1.00 96.81           C  \\nATOM     64  N   GLU A   9      -8.082   1.712   7.796  1.00 96.62           N  \\nATOM     65  CA  GLU A   9      -6.960   1.783   8.728  1.00 96.62           C  \\nATOM     66  C   GLU A   9      -6.898   0.540   9.612  1.00 96.62           C  \\nATOM     67  CB  GLU A   9      -7.059   3.041   9.595  1.00 96.62           C  \\nATOM     68  O   GLU A   9      -7.875  -0.205   9.714  1.00 96.62           O  \\nATOM     69  CG  GLU A   9      -8.241   3.035  10.554  1.00 96.62           C  \\nATOM     70  CD  GLU A   9      -8.343   4.302  11.388  1.00 96.62           C  \\nATOM     71  OE1 GLU A   9      -9.169   4.346  12.327  1.00 96.62           O  \\nATOM     72  OE2 GLU A   9      -7.591   5.260  11.098  1.00 96.62           O  \\nATOM     73  N   GLY A  10      -5.707   0.242  10.163  1.00 96.64           N  \\nATOM     74  CA  GLY A  10      -5.613  -0.827  11.145  1.00 96.64           C  \\nATOM     75  C   GLY A  10      -4.641  -1.920  10.745  1.00 96.64           C  \\nATOM     76  O   GLY A  10      -4.338  -2.811  11.542  1.00 96.64           O  \\nATOM     77  N   ARG A  11      -4.112  -1.773   9.526  1.00 97.81           N  \\nATOM     78  CA  ARG A  11      -3.112  -2.761   9.135  1.00 97.81           C  \\nATOM     79  C   ARG A  11      -1.732  -2.382   9.662  1.00 97.81           C  \\nATOM     80  CB  ARG A  11      -3.068  -2.908   7.612  1.00 97.81           C  \\nATOM     81  O   ARG A  11      -1.423  -1.198   9.814  1.00 97.81           O  \\nATOM     82  CG  ARG A  11      -4.401  -3.299   6.993  1.00 97.81           C  \\nATOM     83  CD  ARG A  11      -5.091  -4.399   7.788  1.00 97.81           C  \\nATOM     84  NE  ARG A  11      -6.393  -4.738   7.220  1.00 97.81           N  \\nATOM     85  NH1 ARG A  11      -6.898  -6.340   8.806  1.00 97.81           N  \\nATOM     86  NH2 ARG A  11      -8.382  -5.882   7.120  1.00 97.81           N  \\nATOM     87  CZ  ARG A  11      -7.221  -5.653   7.717  1.00 97.81           C  \\nATOM     88  N   SER A  12      -0.946  -3.431   9.979  1.00 98.41           N  \\nATOM     89  CA  SER A  12       0.408  -3.193  10.468  1.00 98.41           C  \\nATOM     90  C   SER A  12       1.314  -2.674   9.356  1.00 98.41           C  \\nATOM     91  CB  SER A  12       0.997  -4.473  11.062  1.00 98.41           C  \\nATOM     92  O   SER A  12       1.008  -2.836   8.173  1.00 98.41           O  \\nATOM     93  OG  SER A  12       1.266  -5.422  10.045  1.00 98.41           O  \\nATOM     94  N   ASP A  13       2.453  -2.093   9.713  1.00 98.28           N  \\nATOM     95  CA  ASP A  13       3.441  -1.650   8.734  1.00 98.28           C  \\nATOM     96  C   ASP A  13       3.948  -2.821   7.896  1.00 98.28           C  \\nATOM     97  CB  ASP A  13       4.614  -0.957   9.432  1.00 98.28           C  \\nATOM     98  O   ASP A  13       4.198  -2.671   6.698  1.00 98.28           O  \\nATOM     99  CG  ASP A  13       4.262   0.426   9.952  1.00 98.28           C  \\nATOM    100  OD1 ASP A  13       3.159   0.929   9.648  1.00 98.28           O  \\nATOM    101  OD2 ASP A  13       5.096   1.018  10.670  1.00 98.28           O  \\nATOM    102  N   GLU A  14       4.084  -3.988   8.541  1.00 98.63           N  \\nATOM    103  CA  GLU A  14       4.535  -5.180   7.831  1.00 98.63           C  \\nATOM    104  C   GLU A  14       3.554  -5.572   6.730  1.00 98.63           C  \\nATOM    105  CB  GLU A  14       4.726  -6.346   8.805  1.00 98.63           C  \\nATOM    106  O   GLU A  14       3.964  -5.917   5.620  1.00 98.63           O  \\nATOM    107  CG  GLU A  14       5.885  -6.156   9.772  1.00 98.63           C  \\nATOM    108  CD  GLU A  14       5.557  -5.222  10.926  1.00 98.63           C  \\nATOM    109  OE1 GLU A  14       6.495  -4.679  11.553  1.00 98.63           O  \\nATOM    110  OE2 GLU A  14       4.353  -5.031  11.206  1.00 98.63           O  \\nATOM    111  N   GLN A  15       2.304  -5.546   7.014  1.00 98.65           N  \\nATOM    112  CA  GLN A  15       1.290  -5.871   6.017  1.00 98.65           C  \\nATOM    113  C   GLN A  15       1.307  -4.866   4.868  1.00 98.65           C  \\nATOM    114  CB  GLN A  15      -0.099  -5.913   6.657  1.00 98.65           C  \\nATOM    115  O   GLN A  15       1.204  -5.248   3.701  1.00 98.65           O  \\nATOM    116  CG  GLN A  15      -0.319  -7.112   7.569  1.00 98.65           C  \\nATOM    117  CD  GLN A  15      -1.663  -7.076   8.271  1.00 98.65           C  \\nATOM    118  NE2 GLN A  15      -2.536  -8.018   7.930  1.00 98.65           N  \\nATOM    119  OE1 GLN A  15      -1.915  -6.210   9.114  1.00 98.65           O  \\nATOM    120  N   LYS A  16       1.445  -3.597   5.163  1.00 98.67           N  \\nATOM    121  CA  LYS A  16       1.498  -2.563   4.133  1.00 98.67           C  \\nATOM    122  C   LYS A  16       2.737  -2.723   3.257  1.00 98.67           C  \\nATOM    123  CB  LYS A  16       1.481  -1.172   4.767  1.00 98.67           C  \\nATOM    124  O   LYS A  16       2.663  -2.575   2.035  1.00 98.67           O  \\nATOM    125  CG  LYS A  16       0.171  -0.823   5.459  1.00 98.67           C  \\nATOM    126  CD  LYS A  16       0.190   0.597   6.010  1.00 98.67           C  \\nATOM    127  CE  LYS A  16       0.950   0.677   7.327  1.00 98.67           C  \\nATOM    128  NZ  LYS A  16       0.910   2.052   7.908  1.00 98.67           N  \\nATOM    129  N   GLU A  17       3.852  -3.140   3.910  1.00 98.65           N  \\nATOM    130  CA  GLU A  17       5.074  -3.401   3.156  1.00 98.65           C  \\nATOM    131  C   GLU A  17       4.888  -4.569   2.191  1.00 98.65           C  \\nATOM    132  CB  GLU A  17       6.242  -3.683   4.105  1.00 98.65           C  \\nATOM    133  O   GLU A  17       5.314  -4.501   1.037  1.00 98.65           O  \\nATOM    134  CG  GLU A  17       7.581  -3.847   3.401  1.00 98.65           C  \\nATOM    135  CD  GLU A  17       8.740  -4.069   4.360  1.00 98.65           C  \\nATOM    136  OE1 GLU A  17       9.895  -4.202   3.896  1.00 98.65           O  \\nATOM    137  OE2 GLU A  17       8.490  -4.111   5.585  1.00 98.65           O  \\nATOM    138  N   THR A  18       4.284  -5.601   2.772  1.00 98.72           N  \\nATOM    139  CA  THR A  18       4.038  -6.777   1.944  1.00 98.72           C  \\nATOM    140  C   THR A  18       3.132  -6.429   0.766  1.00 98.72           C  \\nATOM    141  CB  THR A  18       3.403  -7.915   2.765  1.00 98.72           C  \\nATOM    142  O   THR A  18       3.396  -6.836  -0.367  1.00 98.72           O  \\nATOM    143  CG2 THR A  18       3.102  -9.125   1.887  1.00 98.72           C  \\nATOM    144  OG1 THR A  18       4.307  -8.307   3.806  1.00 98.72           O  \\nATOM    145  N   LEU A  19       2.072  -5.665   1.011  1.00 98.68           N  \\nATOM    146  CA  LEU A  19       1.154  -5.242  -0.040  1.00 98.68           C  \\nATOM    147  C   LEU A  19       1.888  -4.448  -1.116  1.00 98.68           C  \\nATOM    148  CB  LEU A  19       0.019  -4.399   0.547  1.00 98.68           C  \\nATOM    149  O   LEU A  19       1.741  -4.728  -2.308  1.00 98.68           O  \\nATOM    150  CG  LEU A  19      -1.004  -3.850  -0.450  1.00 98.68           C  \\nATOM    151  CD1 LEU A  19      -1.670  -4.993  -1.208  1.00 98.68           C  \\nATOM    152  CD2 LEU A  19      -2.045  -2.998   0.267  1.00 98.68           C  \\nATOM    153  N   ILE A  20       2.699  -3.476  -0.742  1.00 98.75           N  \\nATOM    154  CA  ILE A  20       3.435  -2.632  -1.677  1.00 98.75           C  \\nATOM    155  C   ILE A  20       4.353  -3.495  -2.540  1.00 98.75           C  \\nATOM    156  CB  ILE A  20       4.254  -1.550  -0.939  1.00 98.75           C  \\nATOM    157  O   ILE A  20       4.412  -3.323  -3.759  1.00 98.75           O  \\nATOM    158  CG1 ILE A  20       3.322  -0.489  -0.341  1.00 98.75           C  \\nATOM    159  CG2 ILE A  20       5.279  -0.911  -1.881  1.00 98.75           C  \\nATOM    160  CD1 ILE A  20       4.003   0.444   0.651  1.00 98.75           C  \\nATOM    161  N   ARG A  21       5.017  -4.478  -1.940  1.00 98.76           N  \\nATOM    162  CA  ARG A  21       5.935  -5.357  -2.657  1.00 98.76           C  \\nATOM    163  C   ARG A  21       5.189  -6.221  -3.668  1.00 98.76           C  \\nATOM    164  CB  ARG A  21       6.705  -6.245  -1.677  1.00 98.76           C  \\nATOM    165  O   ARG A  21       5.576  -6.291  -4.837  1.00 98.76           O  \\nATOM    166  CG  ARG A  21       7.706  -7.175  -2.344  1.00 98.76           C  \\nATOM    167  CD  ARG A  21       8.480  -7.997  -1.323  1.00 98.76           C  \\nATOM    168  NE  ARG A  21       7.585  -8.747  -0.445  1.00 98.76           N  \\nATOM    169  NH1 ARG A  21       7.074 -10.369  -2.009  1.00 98.76           N  \\nATOM    170  NH2 ARG A  21       6.149 -10.458   0.087  1.00 98.76           N  \\nATOM    171  CZ  ARG A  21       6.938  -9.856  -0.791  1.00 98.76           C  \\nATOM    172  N   GLU A  22       4.169  -6.737  -3.226  1.00 98.75           N  \\nATOM    173  CA  GLU A  22       3.456  -7.685  -4.077  1.00 98.75           C  \\nATOM    174  C   GLU A  22       2.784  -6.977  -5.250  1.00 98.75           C  \\nATOM    175  CB  GLU A  22       2.415  -8.460  -3.264  1.00 98.75           C  \\nATOM    176  O   GLU A  22       2.820  -7.468  -6.381  1.00 98.75           O  \\nATOM    177  CG  GLU A  22       3.017  -9.447  -2.275  1.00 98.75           C  \\nATOM    178  CD  GLU A  22       3.550 -10.709  -2.936  1.00 98.75           C  \\nATOM    179  OE1 GLU A  22       4.437 -11.371  -2.352  1.00 98.75           O  \\nATOM    180  OE2 GLU A  22       3.076 -11.037  -4.046  1.00 98.75           O  \\nATOM    181  N   VAL A  23       2.165  -5.881  -5.046  1.00 98.66           N  \\nATOM    182  CA  VAL A  23       1.523  -5.109  -6.105  1.00 98.66           C  \\nATOM    183  C   VAL A  23       2.573  -4.627  -7.103  1.00 98.66           C  \\nATOM    184  CB  VAL A  23       0.738  -3.907  -5.534  1.00 98.66           C  \\nATOM    185  O   VAL A  23       2.376  -4.724  -8.317  1.00 98.66           O  \\nATOM    186  CG1 VAL A  23       0.289  -2.973  -6.657  1.00 98.66           C  \\nATOM    187  CG2 VAL A  23      -0.463  -4.390  -4.724  1.00 98.66           C  \\nATOM    188  N   SER A  24       3.676  -4.083  -6.594  1.00 98.78           N  \\nATOM    189  CA  SER A  24       4.750  -3.616  -7.465  1.00 98.78           C  \\nATOM    190  C   SER A  24       5.240  -4.730  -8.384  1.00 98.78           C  \\nATOM    191  CB  SER A  24       5.917  -3.076  -6.637  1.00 98.78           C  \\nATOM    192  O   SER A  24       5.381  -4.529  -9.592  1.00 98.78           O  \\nATOM    193  OG  SER A  24       5.518  -1.943  -5.886  1.00 98.78           O  \\nATOM    194  N   GLU A  25       5.464  -5.970  -7.821  1.00 98.80           N  \\nATOM    195  CA  GLU A  25       5.948  -7.114  -8.589  1.00 98.80           C  \\nATOM    196  C   GLU A  25       4.916  -7.562  -9.620  1.00 98.80           C  \\nATOM    197  CB  GLU A  25       6.299  -8.277  -7.657  1.00 98.80           C  \\nATOM    198  O   GLU A  25       5.269  -7.901 -10.752  1.00 98.80           O  \\nATOM    199  CG  GLU A  25       7.567  -8.054  -6.846  1.00 98.80           C  \\nATOM    200  CD  GLU A  25       7.851  -9.172  -5.856  1.00 98.80           C  \\nATOM    201  OE1 GLU A  25       8.923  -9.153  -5.210  1.00 98.80           O  \\nATOM    202  OE2 GLU A  25       6.994 -10.074  -5.725  1.00 98.80           O  \\nATOM    203  N   ALA A  26       3.669  -7.539  -9.192  1.00 98.77           N  \\nATOM    204  CA  ALA A  26       2.602  -7.930 -10.109  1.00 98.77           C  \\nATOM    205  C   ALA A  26       2.539  -6.990 -11.309  1.00 98.77           C  \\nATOM    206  CB  ALA A  26       1.259  -7.953  -9.384  1.00 98.77           C  \\nATOM    207  O   ALA A  26       2.423  -7.439 -12.452  1.00 98.77           O  \\nATOM    208  N   ILE A  27       2.606  -5.752 -11.071  1.00 98.74           N  \\nATOM    209  CA  ILE A  27       2.536  -4.752 -12.132  1.00 98.74           C  \\nATOM    210  C   ILE A  27       3.756  -4.879 -13.042  1.00 98.74           C  \\nATOM    211  CB  ILE A  27       2.444  -3.322 -11.555  1.00 98.74           C  \\nATOM    212  O   ILE A  27       3.625  -4.881 -14.268  1.00 98.74           O  \\nATOM    213  CG1 ILE A  27       1.067  -3.089 -10.921  1.00 98.74           C  \\nATOM    214  CG2 ILE A  27       2.728  -2.282 -12.643  1.00 98.74           C  \\nATOM    215  CD1 ILE A  27       0.944  -1.766 -10.178  1.00 98.74           C  \\nATOM    216  N   SER A  28       4.915  -4.907 -12.393  1.00 98.71           N  \\nATOM    217  CA  SER A  28       6.141  -5.043 -13.172  1.00 98.71           C  \\nATOM    218  C   SER A  28       6.081  -6.258 -14.091  1.00 98.71           C  \\nATOM    219  CB  SER A  28       7.355  -5.151 -12.248  1.00 98.71           C  \\nATOM    220  O   SER A  28       6.387  -6.160 -15.281  1.00 98.71           O  \\nATOM    221  OG  SER A  28       8.543  -5.334 -12.998  1.00 98.71           O  \\nATOM    222  N   ARG A  29       5.644  -7.410 -13.575  1.00 98.57           N  \\nATOM    223  CA  ARG A  29       5.577  -8.654 -14.336  1.00 98.57           C  \\nATOM    224  C   ARG A  29       4.523  -8.568 -15.434  1.00 98.57           C  \\nATOM    225  CB  ARG A  29       5.276  -9.835 -13.411  1.00 98.57           C  \\nATOM    226  O   ARG A  29       4.757  -9.006 -16.563  1.00 98.57           O  \\nATOM    227  CG  ARG A  29       6.476 -10.309 -12.607  1.00 98.57           C  \\nATOM    228  CD  ARG A  29       6.218 -11.659 -11.952  1.00 98.57           C  \\nATOM    229  NE  ARG A  29       5.064 -11.614 -11.058  1.00 98.57           N  \\nATOM    230  NH1 ARG A  29       5.030 -13.887 -10.649  1.00 98.57           N  \\nATOM    231  NH2 ARG A  29       3.477 -12.517  -9.666  1.00 98.57           N  \\nATOM    232  CZ  ARG A  29       4.526 -12.673 -10.460  1.00 98.57           C  \\nATOM    233  N   SER A  30       3.445  -8.008 -15.212  1.00 98.62           N  \\nATOM    234  CA  SER A  30       2.295  -8.007 -16.110  1.00 98.62           C  \\nATOM    235  C   SER A  30       2.501  -7.041 -17.273  1.00 98.62           C  \\nATOM    236  CB  SER A  30       1.021  -7.637 -15.350  1.00 98.62           C  \\nATOM    237  O   SER A  30       2.048  -7.300 -18.389  1.00 98.62           O  \\nATOM    238  OG  SER A  30       0.717  -8.616 -14.371  1.00 98.62           O  \\nATOM    239  N   LEU A  31       3.216  -6.018 -16.973  1.00 98.37           N  \\nATOM    240  CA  LEU A  31       3.318  -4.971 -17.984  1.00 98.37           C  \\nATOM    241  C   LEU A  31       4.745  -4.862 -18.511  1.00 98.37           C  \\nATOM    242  CB  LEU A  31       2.870  -3.625 -17.409  1.00 98.37           C  \\nATOM    243  O   LEU A  31       5.043  -3.993 -19.333  1.00 98.37           O  \\nATOM    244  CG  LEU A  31       1.424  -3.546 -16.916  1.00 98.37           C  \\nATOM    245  CD1 LEU A  31       1.116  -2.145 -16.398  1.00 98.37           C  \\nATOM    246  CD2 LEU A  31       0.457  -3.934 -18.030  1.00 98.37           C  \\nATOM    247  N   ASP A  32       5.606  -5.749 -18.068  1.00 98.13           N  \\nATOM    248  CA  ASP A  32       7.012  -5.714 -18.455  1.00 98.13           C  \\nATOM    249  C   ASP A  32       7.614  -4.332 -18.212  1.00 98.13           C  \\nATOM    250  CB  ASP A  32       7.174  -6.106 -19.926  1.00 98.13           C  \\nATOM    251  O   ASP A  32       8.327  -3.800 -19.066  1.00 98.13           O  \\nATOM    252  CG  ASP A  32       8.600  -6.482 -20.286  1.00 98.13           C  \\nATOM    253  OD1 ASP A  32       9.357  -6.926 -19.395  1.00 98.13           O  \\nATOM    254  OD2 ASP A  32       8.972  -6.331 -21.470  1.00 98.13           O  \\nATOM    255  N   ALA A  33       7.319  -3.699 -17.114  1.00 98.44           N  \\nATOM    256  CA  ALA A  33       7.894  -2.429 -16.677  1.00 98.44           C  \\nATOM    257  C   ALA A  33       8.943  -2.648 -15.590  1.00 98.44           C  \\nATOM    258  CB  ALA A  33       6.797  -1.494 -16.173  1.00 98.44           C  \\nATOM    259  O   ALA A  33       8.858  -3.607 -14.820  1.00 98.44           O  \\nATOM    260  N   PRO A  34      10.059  -1.803 -15.673  1.00 98.53           N  \\nATOM    261  CA  PRO A  34      11.027  -1.913 -14.580  1.00 98.53           C  \\nATOM    262  C   PRO A  34      10.394  -1.696 -13.207  1.00 98.53           C  \\nATOM    263  CB  PRO A  34      12.040  -0.809 -14.894  1.00 98.53           C  \\nATOM    264  O   PRO A  34       9.586  -0.780 -13.034  1.00 98.53           O  \\nATOM    265  CG  PRO A  34      11.815  -0.483 -16.335  1.00 98.53           C  \\nATOM    266  CD  PRO A  34      10.382  -0.777 -16.673  1.00 98.53           C  \\nATOM    267  N   LEU A  35      10.752  -2.521 -12.281  1.00 98.40           N  \\nATOM    268  CA  LEU A  35      10.225  -2.443 -10.923  1.00 98.40           C  \\nATOM    269  C   LEU A  35      10.456  -1.058 -10.328  1.00 98.40           C  \\nATOM    270  CB  LEU A  35      10.873  -3.508 -10.034  1.00 98.40           C  \\nATOM    271  O   LEU A  35       9.603  -0.538  -9.605  1.00 98.40           O  \\nATOM    272  CG  LEU A  35      10.239  -3.721  -8.659  1.00 98.40           C  \\nATOM    273  CD1 LEU A  35       8.807  -4.226  -8.808  1.00 98.40           C  \\nATOM    274  CD2 LEU A  35      11.071  -4.694  -7.831  1.00 98.40           C  \\nATOM    275  N   THR A  36      11.497  -0.455 -10.723  1.00 98.39           N  \\nATOM    276  CA  THR A  36      11.904   0.835 -10.177  1.00 98.39           C  \\nATOM    277  C   THR A  36      10.964   1.942 -10.645  1.00 98.39           C  \\nATOM    278  CB  THR A  36      13.350   1.181 -10.581  1.00 98.39           C  \\nATOM    279  O   THR A  36      10.941   3.030 -10.067  1.00 98.39           O  \\nATOM    280  CG2 THR A  36      14.345   0.217  -9.944  1.00 98.39           C  \\nATOM    281  OG1 THR A  36      13.473   1.104 -12.007  1.00 98.39           O  \\nATOM    282  N   SER A  37      10.257   1.688 -11.731  1.00 98.41           N  \\nATOM    283  CA  SER A  37       9.347   2.694 -12.268  1.00 98.41           C  \\nATOM    284  C   SER A  37       7.962   2.579 -11.640  1.00 98.41           C  \\nATOM    285  CB  SER A  37       9.240   2.564 -13.788  1.00 98.41           C  \\nATOM    286  O   SER A  37       7.100   3.430 -11.865  1.00 98.41           O  \\nATOM    287  OG  SER A  37       8.504   1.406 -14.142  1.00 98.41           O  \\nATOM    288  N   VAL A  38       7.635   1.580 -10.794  1.00 98.67           N  \\nATOM    289  CA  VAL A  38       6.322   1.324 -10.212  1.00 98.67           C  \\nATOM    290  C   VAL A  38       6.182   2.087  -8.897  1.00 98.67           C  \\nATOM    291  CB  VAL A  38       6.087  -0.185  -9.980  1.00 98.67           C  \\nATOM    292  O   VAL A  38       7.058   2.013  -8.033  1.00 98.67           O  \\nATOM    293  CG1 VAL A  38       4.737  -0.425  -9.307  1.00 98.67           C  \\nATOM    294  CG2 VAL A  38       6.172  -0.947 -11.302  1.00 98.67           C  \\nATOM    295  N   ARG A  39       5.172   2.882  -8.762  1.00 98.71           N  \\nATOM    296  CA  ARG A  39       4.818   3.581  -7.531  1.00 98.71           C  \\nATOM    297  C   ARG A  39       3.507   3.054  -6.958  1.00 98.71           C  \\nATOM    298  CB  ARG A  39       4.713   5.088  -7.779  1.00 98.71           C  \\nATOM    299  O   ARG A  39       2.527   2.888  -7.688  1.00 98.71           O  \\nATOM    300  CG  ARG A  39       5.985   5.711  -8.332  1.00 98.71           C  \\nATOM    301  CD  ARG A  39       7.087   5.769  -7.283  1.00 98.71           C  \\nATOM    302  NE  ARG A  39       8.266   6.473  -7.779  1.00 98.71           N  \\nATOM    303  NH1 ARG A  39       9.318   4.577  -8.576  1.00 98.71           N  \\nATOM    304  NH2 ARG A  39      10.321   6.627  -8.793  1.00 98.71           N  \\nATOM    305  CZ  ARG A  39       9.299   5.891  -8.382  1.00 98.71           C  \\nATOM    306  N   VAL A  40       3.475   2.697  -5.687  1.00 98.69           N  \\nATOM    307  CA  VAL A  40       2.278   2.257  -4.978  1.00 98.69           C  \\nATOM    308  C   VAL A  40       1.969   3.223  -3.837  1.00 98.69           C  \\nATOM    309  CB  VAL A  40       2.439   0.820  -4.431  1.00 98.69           C  \\nATOM    310  O   VAL A  40       2.817   3.469  -2.976  1.00 98.69           O  \\nATOM    311  CG1 VAL A  40       1.178   0.381  -3.690  1.00 98.69           C  \\nATOM    312  CG2 VAL A  40       2.761  -0.149  -5.567  1.00 98.69           C  \\nATOM    313  N   ILE A  41       0.813   3.759  -3.885  1.00 98.69           N  \\nATOM    314  CA  ILE A  41       0.349   4.687  -2.859  1.00 98.69           C  \\nATOM    315  C   ILE A  41      -0.798   4.056  -2.073  1.00 98.69           C  \\nATOM    316  CB  ILE A  41      -0.100   6.032  -3.475  1.00 98.69           C  \\nATOM    317  O   ILE A  41      -1.810   3.656  -2.653  1.00 98.69           O  \\nATOM    318  CG1 ILE A  41       1.027   6.633  -4.323  1.00 98.69           C  \\nATOM    319  CG2 ILE A  41      -0.540   7.007  -2.379  1.00 98.69           C  \\nATOM    320  CD1 ILE A  41       0.577   7.766  -5.236  1.00 98.69           C  \\nATOM    321  N   ILE A  42      -0.598   3.932  -0.762  1.00 98.56           N  \\nATOM    322  CA  ILE A  42      -1.649   3.437   0.120  1.00 98.56           C  \\nATOM    323  C   ILE A  42      -2.297   4.608   0.857  1.00 98.56           C  \\nATOM    324  CB  ILE A  42      -1.100   2.406   1.131  1.00 98.56           C  \\nATOM    325  O   ILE A  42      -1.609   5.398   1.507  1.00 98.56           O  \\nATOM    326  CG1 ILE A  42      -0.527   1.189   0.395  1.00 98.56           C  \\nATOM    327  CG2 ILE A  42      -2.191   1.984   2.119  1.00 98.56           C  \\nATOM    328  CD1 ILE A  42       0.148   0.175   1.307  1.00 98.56           C  \\nATOM    329  N   THR A  43      -3.604   4.754   0.619  1.00 98.15           N  \\nATOM    330  CA  THR A  43      -4.416   5.693   1.384  1.00 98.15           C  \\nATOM    331  C   THR A  43      -5.301   4.953   2.384  1.00 98.15           C  \\nATOM    332  CB  THR A  43      -5.294   6.556   0.459  1.00 98.15           C  \\nATOM    333  O   THR A  43      -6.122   4.120   1.996  1.00 98.15           O  \\nATOM    334  CG2 THR A  43      -6.073   7.598   1.255  1.00 98.15           C  \\nATOM    335  OG1 THR A  43      -4.458   7.226  -0.493  1.00 98.15           O  \\nATOM    336  N   GLU A  44      -5.089   5.301   3.635  1.00 97.73           N  \\nATOM    337  CA  GLU A  44      -5.878   4.676   4.692  1.00 97.73           C  \\nATOM    338  C   GLU A  44      -7.065   5.551   5.086  1.00 97.73           C  \\nATOM    339  CB  GLU A  44      -5.006   4.390   5.918  1.00 97.73           C  \\nATOM    340  O   GLU A  44      -6.923   6.766   5.241  1.00 97.73           O  \\nATOM    341  CG  GLU A  44      -3.892   3.386   5.659  1.00 97.73           C  \\nATOM    342  CD  GLU A  44      -3.014   3.137   6.875  1.00 97.73           C  \\nATOM    343  OE1 GLU A  44      -3.301   2.195   7.649  1.00 97.73           O  \\nATOM    344  OE2 GLU A  44      -2.032   3.891   7.056  1.00 97.73           O  \\nATOM    345  N   MET A  45      -8.256   4.811   5.191  1.00 97.02           N  \\nATOM    346  CA  MET A  45      -9.480   5.500   5.590  1.00 97.02           C  \\nATOM    347  C   MET A  45      -9.915   5.071   6.987  1.00 97.02           C  \\nATOM    348  CB  MET A  45     -10.602   5.228   4.587  1.00 97.02           C  \\nATOM    349  O   MET A  45     -10.003   3.876   7.275  1.00 97.02           O  \\nATOM    350  CG  MET A  45     -10.311   5.743   3.187  1.00 97.02           C  \\nATOM    351  SD  MET A  45     -11.583   5.227   1.969  1.00 97.02           S  \\nATOM    352  CE  MET A  45     -11.223   3.452   1.862  1.00 97.02           C  \\nATOM    353  N   ALA A  46     -10.087   6.122   7.786  1.00 96.99           N  \\nATOM    354  CA  ALA A  46     -10.724   5.827   9.066  1.00 96.99           C  \\nATOM    355  C   ALA A  46     -12.081   5.159   8.863  1.00 96.99           C  \\nATOM    356  CB  ALA A  46     -10.881   7.103   9.890  1.00 96.99           C  \\nATOM    357  O   ALA A  46     -12.767   5.423   7.873  1.00 96.99           O  \\nATOM    358  N   LYS A  47     -12.515   4.273   9.750  1.00 95.22           N  \\nATOM    359  CA  LYS A  47     -13.755   3.514   9.614  1.00 95.22           C  \\nATOM    360  C   LYS A  47     -14.966   4.441   9.587  1.00 95.22           C  \\nATOM    361  CB  LYS A  47     -13.893   2.504  10.753  1.00 95.22           C  \\nATOM    362  O   LYS A  47     -15.999   4.106   9.003  1.00 95.22           O  \\nATOM    363  CG  LYS A  47     -12.859   1.388  10.721  1.00 95.22           C  \\nATOM    364  CD  LYS A  47     -13.073   0.394  11.855  1.00 95.22           C  \\nATOM    365  CE  LYS A  47     -12.024  -0.709  11.838  1.00 95.22           C  \\nATOM    366  NZ  LYS A  47     -12.224  -1.682  12.954  1.00 95.22           N  \\nATOM    367  N   GLY A  48     -14.905   5.586  10.150  1.00 96.30           N  \\nATOM    368  CA  GLY A  48     -15.987   6.557  10.136  1.00 96.30           C  \\nATOM    369  C   GLY A  48     -16.042   7.371   8.856  1.00 96.30           C  \\nATOM    370  O   GLY A  48     -16.962   8.168   8.660  1.00 96.30           O  \\nATOM    371  N   HIS A  49     -15.154   7.208   7.966  1.00 95.44           N  \\nATOM    372  CA  HIS A  49     -15.073   7.959   6.719  1.00 95.44           C  \\nATOM    373  C   HIS A  49     -15.378   7.069   5.519  1.00 95.44           C  \\nATOM    374  CB  HIS A  49     -13.690   8.594   6.564  1.00 95.44           C  \\nATOM    375  O   HIS A  49     -15.276   7.509   4.371  1.00 95.44           O  \\nATOM    376  CG  HIS A  49     -13.356   9.575   7.642  1.00 95.44           C  \\nATOM    377  CD2 HIS A  49     -14.034   9.937   8.756  1.00 95.44           C  \\nATOM    378  ND1 HIS A  49     -12.195  10.318   7.638  1.00 95.44           N  \\nATOM    379  CE1 HIS A  49     -12.174  11.096   8.708  1.00 95.44           C  \\nATOM    380  NE2 HIS A  49     -13.278  10.883   9.403  1.00 95.44           N  \\nATOM    381  N   PHE A  50     -15.689   5.790   5.824  1.00 95.85           N  \\nATOM    382  CA  PHE A  50     -15.919   4.856   4.728  1.00 95.85           C  \\nATOM    383  C   PHE A  50     -17.255   4.142   4.897  1.00 95.85           C  \\nATOM    384  CB  PHE A  50     -14.783   3.832   4.645  1.00 95.85           C  \\nATOM    385  O   PHE A  50     -17.531   3.571   5.954  1.00 95.85           O  \\nATOM    386  CG  PHE A  50     -14.773   3.039   3.366  1.00 95.85           C  \\nATOM    387  CD1 PHE A  50     -15.221   1.724   3.344  1.00 95.85           C  \\nATOM    388  CD2 PHE A  50     -14.316   3.610   2.185  1.00 95.85           C  \\nATOM    389  CE1 PHE A  50     -15.213   0.988   2.161  1.00 95.85           C  \\nATOM    390  CE2 PHE A  50     -14.305   2.880   0.999  1.00 95.85           C  \\nATOM    391  CZ  PHE A  50     -14.753   1.569   0.990  1.00 95.85           C  \\nATOM    392  N   GLY A  51     -18.127   4.220   3.838  1.00 95.09           N  \\nATOM    393  CA  GLY A  51     -19.420   3.555   3.839  1.00 95.09           C  \\nATOM    394  C   GLY A  51     -19.461   2.328   2.947  1.00 95.09           C  \\nATOM    395  O   GLY A  51     -18.876   2.323   1.862  1.00 95.09           O  \\nATOM    396  N   ILE A  52     -20.028   1.279   3.499  1.00 94.56           N  \\nATOM    397  CA  ILE A  52     -20.292   0.070   2.727  1.00 94.56           C  \\nATOM    398  C   ILE A  52     -21.789  -0.230   2.733  1.00 94.56           C  \\nATOM    399  CB  ILE A  52     -19.501  -1.137   3.279  1.00 94.56           C  \\nATOM    400  O   ILE A  52     -22.376  -0.468   3.791  1.00 94.56           O  \\nATOM    401  CG1 ILE A  52     -18.012  -0.792   3.397  1.00 94.56           C  \\nATOM    402  CG2 ILE A  52     -19.709  -2.369   2.393  1.00 94.56           C  \\nATOM    403  CD1 ILE A  52     -17.208  -1.790   4.218  1.00 94.56           C  \\nATOM    404  N   GLY A  53     -22.434  -0.184   1.584  1.00 94.84           N  \\nATOM    405  CA  GLY A  53     -23.863  -0.449   1.523  1.00 94.84           C  \\nATOM    406  C   GLY A  53     -24.688   0.542   2.323  1.00 94.84           C  \\nATOM    407  O   GLY A  53     -25.696   0.172   2.928  1.00 94.84           O  \\nATOM    408  N   GLY A  54     -24.308   1.779   2.454  1.00 96.19           N  \\nATOM    409  CA  GLY A  54     -25.052   2.832   3.125  1.00 96.19           C  \\nATOM    410  C   GLY A  54     -24.753   2.922   4.610  1.00 96.19           C  \\nATOM    411  O   GLY A  54     -25.394   3.687   5.333  1.00 96.19           O  \\nATOM    412  N   GLU A  55     -23.844   2.100   5.200  1.00 97.16           N  \\nATOM    413  CA  GLU A  55     -23.478   2.094   6.613  1.00 97.16           C  \\nATOM    414  C   GLU A  55     -21.987   2.362   6.798  1.00 97.16           C  \\nATOM    415  CB  GLU A  55     -23.856   0.759   7.261  1.00 97.16           C  \\nATOM    416  O   GLU A  55     -21.166   1.921   5.991  1.00 97.16           O  \\nATOM    417  CG  GLU A  55     -25.354   0.491   7.287  1.00 97.16           C  \\nATOM    418  CD  GLU A  55     -25.732  -0.717   8.129  1.00 97.16           C  \\nATOM    419  OE1 GLU A  55     -26.943  -0.955   8.340  1.00 97.16           O  \\nATOM    420  OE2 GLU A  55     -24.810  -1.431   8.583  1.00 97.16           O  \\nATOM    421  N   LEU A  56     -21.748   3.119   7.825  1.00 95.96           N  \\nATOM    422  CA  LEU A  56     -20.347   3.363   8.150  1.00 95.96           C  \\nATOM    423  C   LEU A  56     -19.599   2.050   8.356  1.00 95.96           C  \\nATOM    424  CB  LEU A  56     -20.231   4.233   9.404  1.00 95.96           C  \\nATOM    425  O   LEU A  56     -20.136   1.112   8.950  1.00 95.96           O  \\nATOM    426  CG  LEU A  56     -20.552   5.718   9.231  1.00 95.96           C  \\nATOM    427  CD1 LEU A  56     -20.589   6.414  10.588  1.00 95.96           C  \\nATOM    428  CD2 LEU A  56     -19.533   6.382   8.311  1.00 95.96           C  \\nATOM    429  N   ALA A  57     -18.361   2.063   7.868  1.00 93.86           N  \\nATOM    430  CA  ALA A  57     -17.540   0.875   8.086  1.00 93.86           C  \\nATOM    431  C   ALA A  57     -17.265   0.662   9.572  1.00 93.86           C  \\nATOM    432  CB  ALA A  57     -16.226   0.987   7.316  1.00 93.86           C  \\nATOM    433  O   ALA A  57     -16.929  -0.446   9.996  1.00 93.86           O  \\nATOM    434  N   SER A  58     -17.432   1.664  10.295  1.00 93.29           N  \\nATOM    435  CA  SER A  58     -17.229   1.587  11.738  1.00 93.29           C  \\nATOM    436  C   SER A  58     -18.376   0.850  12.420  1.00 93.29           C  \\nATOM    437  CB  SER A  58     -17.086   2.988  12.335  1.00 93.29           C  \\nATOM    438  O   SER A  58     -18.237   0.388  13.555  1.00 93.29           O  \\nATOM    439  OG  SER A  58     -18.237   3.770  12.064  1.00 93.29           O  \\nATOM    440  N   LYS A  59     -19.528   0.792  11.671  1.00 84.54           N  \\nATOM    441  CA  LYS A  59     -20.684   0.132  12.271  1.00 84.54           C  \\nATOM    442  C   LYS A  59     -20.725  -1.348  11.904  1.00 84.54           C  \\nATOM    443  CB  LYS A  59     -21.980   0.817  11.833  1.00 84.54           C  \\nATOM    444  O   LYS A  59     -21.090  -2.188  12.729  1.00 84.54           O  \\nATOM    445  CG  LYS A  59     -22.205   2.181  12.468  1.00 84.54           C  \\nATOM    446  CD  LYS A  59     -23.595   2.720  12.157  1.00 84.54           C  \\nATOM    447  CE  LYS A  59     -23.829   4.076  12.809  1.00 84.54           C  \\nATOM    448  NZ  LYS A  59     -25.195   4.604  12.515  1.00 84.54           N  \\nTER     449      LYS A  59                                                      \\nENDMDL                                                                          \\nEND                                                                             \\n\",\"pdb\");\n",
              "\tviewer_1671306225413614.setStyle({\"cartoon\": {\"colorscheme\": {\"prop\": \"b\", \"gradient\": \"roygb\", \"min\": 50, \"max\": 90}}});\n",
              "\tviewer_1671306225413614.zoomTo();\n",
              "viewer_1671306225413614.render();\n",
              "});\n",
              "</script>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 100x10 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "11l8k--10q0C",
        "cellView": "form",
        "outputId": "62b4548a-0622-4d70-932e-f043f66564af",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 824
        }
      },
      "source": [
        "#@title Plots {run: \"auto\"}\n",
        "from IPython.display import display, HTML\n",
        "import base64\n",
        "from html import escape\n",
        "\n",
        "# see: https://stackoverflow.com/a/53688522\n",
        "def image_to_data_url(filename):\n",
        "  ext = filename.split('.')[-1]\n",
        "  prefix = f'data:image/{ext};base64,'\n",
        "  with open(filename, 'rb') as f:\n",
        "    img = f.read()\n",
        "  return prefix + base64.b64encode(img).decode('utf-8')\n",
        "\n",
        "pae = image_to_data_url(f\"{jobname}{jobname_prefix}_PAE.png\")\n",
        "cov = image_to_data_url(f\"{jobname}{jobname_prefix}_coverage.png\")\n",
        "plddt = image_to_data_url(f\"{jobname}{jobname_prefix}_plddt.png\")\n",
        "display(HTML(f\"\"\"\n",
        "<style>\n",
        "  img {{\n",
        "    float:left;\n",
        "  }}\n",
        "  .full {{\n",
        "    max-width:100%;\n",
        "  }}\n",
        "  .half {{\n",
        "    max-width:50%;\n",
        "  }}\n",
        "  @media (max-width:640px) {{\n",
        "    .half {{\n",
        "      max-width:100%;\n",
        "    }}\n",
        "  }}\n",
        "</style>\n",
        "<div style=\"max-width:90%; padding:2em;\">\n",
        "  <h1>Plots for {escape(jobname)}</h1>\n",
        "  <img src=\"{pae}\" class=\"full\" />\n",
        "  <img src=\"{cov}\" class=\"half\" />\n",
        "  <img src=\"{plddt}\" class=\"half\" />\n",
        "</div>\n",
        "\"\"\"))\n"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "  img {\n",
              "    float:left;\n",
              "  }\n",
              "  .full {\n",
              "    max-width:100%;\n",
              "  }\n",
              "  .half {\n",
              "    max-width:50%;\n",
              "  }\n",
              "  @media (max-width:640px) {\n",
              "    .half {\n",
              "      max-width:100%;\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "<div style=\"max-width:90%; padding:2em;\">\n",
              "  <h1>Plots for test_a5e17</h1>\n",
              "  <img src=\"data:image/png;base64,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\" class=\"full\" />\n",
              "  <img src=\"data:image/png;base64,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\" class=\"half\" />\n",
              "  <img src=\"data:image/png;base64,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\" class=\"half\" />\n",
              "</div>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "33g5IIegij5R",
        "cellView": "form",
        "outputId": "bcd11686-f7af-4641-f015-b23b62f237e6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 329
        }
      },
      "source": [
        "#@title Package and download results\n",
        "#@markdown If you are having issues downloading the result archive, try disabling your adblocker and run this cell again. If that fails click on the little folder icon to the left, navigate to file: `jobname.result.zip`, right-click and select \\\"Download\\\" (see [screenshot](https://pbs.twimg.com/media/E6wRW2lWUAEOuoe?format=jpg&name=small)).\n",
        "\n",
        "if msa_mode == \"custom\":\n",
        "  print(\"Don't forget to cite your custom MSA generation method.\")\n",
        "\n",
        "!zip -FSr $jobname\".result.zip\" config.json $jobname*\".json\" $jobname*\".a3m\" $jobname*\"relaxed_rank_\"*\".pdb\" \"cite.bibtex\" $jobname*\".png\"\n",
        "files.download(f\"{jobname}.result.zip\")\n",
        "\n",
        "if save_to_google_drive == True and drive:\n",
        "  uploaded = drive.CreateFile({'title': f\"{jobname}.result.zip\"})\n",
        "  uploaded.SetContentFile(f\"{jobname}.result.zip\")\n",
        "  uploaded.Upload()\n",
        "  print(f\"Uploaded {jobname}.result.zip to Google Drive with ID {uploaded.get('id')}\")"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  adding: config.json (deflated 50%)\n",
            "  adding: test_a5e17_predicted_aligned_error_v1.json (deflated 89%)\n",
            "  adding: test_a5e17_unrelaxed_rank_1_model_3_scores.json (deflated 72%)\n",
            "  adding: test_a5e17_unrelaxed_rank_2_model_4_scores.json (deflated 72%)\n",
            "  adding: test_a5e17_unrelaxed_rank_3_model_2_scores.json (deflated 72%)\n",
            "  adding: test_a5e17_unrelaxed_rank_4_model_5_scores.json (deflated 72%)\n",
            "  adding: test_a5e17_unrelaxed_rank_5_model_1_scores.json (deflated 71%)\n",
            "  adding: test_a5e17.a3m (deflated 60%)\n",
            "  adding: test_a5e17_unrelaxed_rank_1_model_3.pdb (deflated 78%)\n",
            "  adding: test_a5e17_unrelaxed_rank_2_model_4.pdb (deflated 78%)\n",
            "  adding: test_a5e17_unrelaxed_rank_3_model_2.pdb (deflated 78%)\n",
            "  adding: test_a5e17_unrelaxed_rank_4_model_5.pdb (deflated 78%)\n",
            "  adding: test_a5e17_unrelaxed_rank_5_model_1.pdb (deflated 77%)\n",
            "  adding: cite.bibtex (deflated 52%)\n",
            "  adding: test_a5e17_coverage.png (deflated 12%)\n",
            "  adding: test_a5e17_PAE.png (deflated 15%)\n",
            "  adding: test_a5e17_plddt.png (deflated 12%)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "download(\"download_469dc1ae-aa19-4974-92a3-179c3c079808\", \"test_a5e17.result.zip\", 623778)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UGUBLzB3C6WN",
        "pycharm": {
          "name": "#%% md\n"
        }
      },
      "source": [
        "# Instructions <a name=\"Instructions\"></a>\n",
        "**Quick start**\n",
        "1. Paste your protein sequence(s) in the input field.\n",
        "2. Press \"Runtime\" -> \"Run all\".\n",
        "3. The pipeline consists of 5 steps. The currently running step is indicated by a circle with a stop sign next to it.\n",
        "\n",
        "**Result zip file contents**\n",
        "\n",
        "1. PDB formatted structures sorted by avg. pLDDT and complexes are sorted by pTMscore. (unrelaxed and relaxed if `use_amber` is enabled).\n",
        "2. Plots of the model quality.\n",
        "3. Plots of the MSA coverage.\n",
        "4. Parameter log file.\n",
        "5. A3M formatted input MSA.\n",
        "6. A `predicted_aligned_error_v1.json` using [AlphaFold-DB's format](https://alphafold.ebi.ac.uk/faq#faq-7) and a `scores.json` for each model which contains an array (list of lists) for PAE, a list with the average pLDDT and the pTMscore.\n",
        "7. BibTeX file with citations for all used tools and databases.\n",
        "\n",
        "At the end of the job a download modal box will pop up with a `jobname.result.zip` file. Additionally, if the `save_to_google_drive` option was selected, the `jobname.result.zip` will be uploaded to your Google Drive.\n",
        "\n",
        "**MSA generation for complexes**\n",
        "\n",
        "For the complex prediction we use unpaired and paired MSAs. Unpaired MSA is generated the same way as for the protein structures prediction by searching the UniRef100 and environmental sequences three iterations each.\n",
        "\n",
        "The paired MSA is generated by searching the UniRef100 database and pairing the best hits sharing the same NCBI taxonomic identifier (=species or sub-species). We only pair sequences if all of the query sequences are present for the respective taxonomic identifier.\n",
        "\n",
        "**Using a custom MSA as input**\n",
        "\n",
        "To predict the structure with a custom MSA (A3M formatted): (1) Change the `msa_mode`: to \"custom\", (2) Wait for an upload box to appear at the end of the \"MSA options ...\" box. Upload your A3M. The first fasta entry of the A3M must be the query sequence without gaps. \n",
        "\n",
        "It is also possilbe to proide custom MSAs for complex predictions. Read more about the format [here](https://github.com/sokrypton/ColabFold/issues/76).\n",
        "\n",
        "As an alternative for MSA generation the [HHblits Toolkit server](https://toolkit.tuebingen.mpg.de/tools/hhblits) can be used. After submitting your query, click \"Query Template MSA\" -> \"Download Full A3M\". Download the A3M file and upload it in this notebook.\n",
        "\n",
        "**Using custom templates** <a name=\"custom_templates\"></a>\n",
        "\n",
        "To predict the structure with a custom template (PDB or mmCIF formatted): (1) change the `template_mode` to \"custom\" in the execute cell and (2) wait for an upload box to appear at the end of the \"Input Protein\" box. Select and upload your templates (multiple choices are possible).\n",
        "\n",
        "* Templates must follow the four letter PDB naming with lower case letters.\n",
        "\n",
        "* Templates in mmCIF format must contain `_entity_poly_seq`. An error is thrown if this field is not present. The field `_pdbx_audit_revision_history.revision_date` is automatically generated if it is not present.\n",
        "\n",
        "* Templates in PDB format are automatically converted to the mmCIF format. `_entity_poly_seq` and `_pdbx_audit_revision_history.revision_date` are automatically generated.\n",
        "\n",
        "If you encounter problems, please report them to this [issue](https://github.com/sokrypton/ColabFold/issues/177).\n",
        "\n",
        "**Comparison to the full AlphaFold2 and Alphafold2 colab**\n",
        "\n",
        "This notebook replaces the homology detection and MSA pairing of AlphaFold2 with MMseqs2. For a comparison against the [AlphaFold2 Colab](https://colab.research.google.com/github/deepmind/alphafold/blob/main/notebooks/AlphaFold.ipynb) and the full [AlphaFold2](https://github.com/deepmind/alphafold) system read our [preprint](https://www.biorxiv.org/content/10.1101/2021.08.15.456425v1). \n",
        "\n",
        "**Troubleshooting**\n",
        "* Check that the runtime type is set to GPU at \"Runtime\" -> \"Change runtime type\".\n",
        "* Try to restart the session \"Runtime\" -> \"Factory reset runtime\".\n",
        "* Check your input sequence.\n",
        "\n",
        "**Known issues**\n",
        "* Google Colab assigns different types of GPUs with varying amount of memory. Some might not have enough memory to predict the structure for a long sequence.\n",
        "* Your browser can block the pop-up for downloading the result file. You can choose the `save_to_google_drive` option to upload to Google Drive instead or manually download the result file: Click on the little folder icon to the left, navigate to file: `jobname.result.zip`, right-click and select \\\"Download\\\" (see [screenshot](https://pbs.twimg.com/media/E6wRW2lWUAEOuoe?format=jpg&name=small)).\n",
        "\n",
        "**Limitations**\n",
        "* Computing resources: Our MMseqs2 API can handle ~20-50k requests per day.\n",
        "* MSAs: MMseqs2 is very precise and sensitive but might find less hits compared to HHblits/HMMer searched against BFD or MGnify.\n",
        "* We recommend to additionally use the full [AlphaFold2 pipeline](https://github.com/deepmind/alphafold).\n",
        "\n",
        "**Description of the plots**\n",
        "*   **Number of sequences per position** - We want to see at least 30 sequences per position, for best performance, ideally 100 sequences.\n",
        "*   **Predicted lDDT per position** - model confidence (out of 100) at each position. The higher the better.\n",
        "*   **Predicted Alignment Error** - For homooligomers, this could be a useful metric to assess how confident the model is about the interface. The lower the better.\n",
        "\n",
        "**Bugs**\n",
        "- If you encounter any bugs, please report the issue to https://github.com/sokrypton/ColabFold/issues\n",
        "\n",
        "**License**\n",
        "\n",
        "The source code of ColabFold is licensed under [MIT](https://raw.githubusercontent.com/sokrypton/ColabFold/main/LICENSE). Additionally, this notebook uses the AlphaFold2 source code and its parameters licensed under [Apache 2.0](https://raw.githubusercontent.com/deepmind/alphafold/main/LICENSE) and [CC BY 4.0](https://creativecommons.org/licenses/by-sa/4.0/) respectively. Read more about the AlphaFold license [here](https://github.com/deepmind/alphafold).\n",
        "\n",
        "**Acknowledgments**\n",
        "- We thank the AlphaFold team for developing an excellent model and open sourcing the software. \n",
        "\n",
        "- [KOBIC](https://kobic.re.kr) and [Söding Lab](https://www.mpinat.mpg.de/soeding) for providing the computational resources for the MMseqs2 MSA server.\n",
        "\n",
        "- Richard Evans for helping to benchmark the ColabFold's Alphafold-multimer support.\n",
        "\n",
        "- [David Koes](https://github.com/dkoes) for his awesome [py3Dmol](https://3dmol.csb.pitt.edu/) plugin, without whom these notebooks would be quite boring!\n",
        "\n",
        "- Do-Yoon Kim for creating the ColabFold logo.\n",
        "\n",
        "- A colab by Sergey Ovchinnikov ([@sokrypton](https://twitter.com/sokrypton)), Milot Mirdita ([@milot_mirdita](https://twitter.com/milot_mirdita)) and Martin Steinegger ([@thesteinegger](https://twitter.com/thesteinegger)).\n"
      ]
    }
  ]
}