AlphaFold2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "AlphaFold2.ipynb",
      "provenance": [],
      "machine_shape": "hm",
      "gpuType": "T4",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "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"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/JSJeong-me/GPT-Insights/blob/main/AlphaFold2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "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 v1.5.5: 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 [Nature Protocols](https://www.nature.com/articles/s41596-024-01060-5).\n",
        "\n",
        "Old versions: [v1.4](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.4.0/AlphaFold2.ipynb), [v1.5.1](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.5.1/AlphaFold2.ipynb), [v1.5.2](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.5.2/AlphaFold2.ipynb), [v1.5.3-patch](https://colab.research.google.com/github/sokrypton/ColabFold/blob/56c72044c7d51a311ca99b953a71e552fdc042e1/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",
        "outputId": "1debfad3-b3e0-4b6c-ff6f-e33c4378ddd8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#@title Input protein sequence(s), then hit `Runtime` -> `Run all`\n",
        "from google.colab import files\n",
        "import os\n",
        "import re\n",
        "import hashlib\n",
        "import random\n",
        "\n",
        "from sys import version_info\n",
        "python_version = f\"{version_info.major}.{version_info.minor}\"\n",
        "\n",
        "def add_hash(x,y):\n",
        "  return x+\"_\"+hashlib.sha1(y.encode()).hexdigest()[:5]\n",
        "\n",
        "query_sequence = '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",
        "jobname = 'test' #@param {type:\"string\"}\n",
        "# number of models to use\n",
        "num_relax = 0 #@param [0, 1, 5] {type:\"raw\"}\n",
        "#@markdown - specify how many of the top ranked structures to relax using amber\n",
        "template_mode = \"none\" #@param [\"none\", \"pdb100\",\"custom\"]\n",
        "#@markdown - `none` = no template information is used. `pdb100` = detect templates in pdb100 (see [notes](#pdb100)). `custom` - upload and search own templates (PDB or mmCIF format, see [notes](#custom_templates))\n",
        "\n",
        "use_amber = num_relax > 0\n",
        "\n",
        "# remove whitespaces\n",
        "query_sequence = \"\".join(query_sequence.split())\n",
        "\n",
        "basejobname = \"\".join(jobname.split())\n",
        "basejobname = re.sub(r'\\W+', '', basejobname)\n",
        "jobname = add_hash(basejobname, query_sequence)\n",
        "\n",
        "# check if directory with jobname exists\n",
        "def check(folder):\n",
        "  if os.path.exists(folder):\n",
        "    return False\n",
        "  else:\n",
        "    return True\n",
        "if not check(jobname):\n",
        "  n = 0\n",
        "  while not check(f\"{jobname}_{n}\"): n += 1\n",
        "  jobname = f\"{jobname}_{n}\"\n",
        "\n",
        "# make directory to save results\n",
        "os.makedirs(jobname, exist_ok=True)\n",
        "\n",
        "# save queries\n",
        "queries_path = os.path.join(jobname, f\"{jobname}.csv\")\n",
        "with open(queries_path, \"w\") as text_file:\n",
        "  text_file.write(f\"id,sequence\\n{jobname},{query_sequence}\")\n",
        "\n",
        "if template_mode == \"pdb100\":\n",
        "  use_templates = True\n",
        "  custom_template_path = None\n",
        "elif template_mode == \"custom\":\n",
        "  custom_template_path = os.path.join(jobname,f\"template\")\n",
        "  os.makedirs(custom_template_path, exist_ok=True)\n",
        "  uploaded = files.upload()\n",
        "  use_templates = True\n",
        "  for fn in uploaded.keys():\n",
        "    os.rename(fn,os.path.join(custom_template_path,fn))\n",
        "else:\n",
        "  custom_template_path = None\n",
        "  use_templates = False\n",
        "\n",
        "print(\"jobname\",jobname)\n",
        "print(\"sequence\",query_sequence)\n",
        "print(\"length\",len(query_sequence.replace(\":\",\"\")))"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "jobname test_a5e17\n",
            "sequence PIAQIHILEGRSDEQKETLIREVSEAISRSLDAPLTSVRVIITEMAKGHFGIGGELASK\n",
            "length 59\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Install dependencies\n",
        "%%time\n",
        "import os\n",
        "USE_AMBER = use_amber\n",
        "USE_TEMPLATES = use_templates\n",
        "PYTHON_VERSION = python_version\n",
        "\n",
        "if not os.path.isfile(\"COLABFOLD_READY\"):\n",
        "  print(\"installing colabfold...\")\n",
        "  os.system(\"pip install -q --no-warn-conflicts 'colabfold[alphafold-minus-jax] @ git+https://github.com/sokrypton/ColabFold'\")\n",
        "  if os.environ.get('TPU_NAME', False) != False:\n",
        "    os.system(\"pip uninstall -y jax jaxlib\")\n",
        "    os.system(\"pip install --no-warn-conflicts --upgrade dm-haiku==0.0.10 'jax[cuda12_pip]'==0.3.25 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html\")\n",
        "  os.system(\"ln -s /usr/local/lib/python3.*/dist-packages/colabfold colabfold\")\n",
        "  os.system(\"ln -s /usr/local/lib/python3.*/dist-packages/alphafold alphafold\")\n",
        "  os.system(\"touch COLABFOLD_READY\")\n",
        "\n",
        "if USE_AMBER or USE_TEMPLATES:\n",
        "  if not os.path.isfile(\"CONDA_READY\"):\n",
        "    print(\"installing conda...\")\n",
        "    os.system(\"wget -qnc https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh\")\n",
        "    os.system(\"bash Miniforge3-Linux-x86_64.sh -bfp /usr/local\")\n",
        "    os.system(\"mamba config --set auto_update_conda false\")\n",
        "    os.system(\"touch CONDA_READY\")\n",
        "\n",
        "if USE_TEMPLATES and not os.path.isfile(\"HH_READY\") and USE_AMBER and not os.path.isfile(\"AMBER_READY\"):\n",
        "  print(\"installing hhsuite and amber...\")\n",
        "  os.system(f\"mamba install -y -c conda-forge -c bioconda kalign2=2.04 hhsuite=3.3.0 openmm=7.7.0 python='{PYTHON_VERSION}' pdbfixer\")\n",
        "  os.system(\"touch HH_READY\")\n",
        "  os.system(\"touch AMBER_READY\")\n",
        "else:\n",
        "  if USE_TEMPLATES and not os.path.isfile(\"HH_READY\"):\n",
        "    print(\"installing hhsuite...\")\n",
        "    os.system(f\"mamba install -y -c conda-forge -c bioconda kalign2=2.04 hhsuite=3.3.0 python='{PYTHON_VERSION}'\")\n",
        "    os.system(\"touch HH_READY\")\n",
        "  if USE_AMBER and not os.path.isfile(\"AMBER_READY\"):\n",
        "    print(\"installing amber...\")\n",
        "    os.system(f\"mamba install -y -c conda-forge openmm=7.7.0 python='{PYTHON_VERSION}' pdbfixer\")\n",
        "    os.system(\"touch AMBER_READY\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "AzIKiDiCaHAn",
        "outputId": "39bfd96d-9fec-4b14-d4c1-1d70c387c173",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "installing colabfold...\n",
            "CPU times: user 109 ms, sys: 15.2 ms, total: 124 ms\n",
            "Wall time: 34.4 s\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown ### MSA options (custom MSA upload, single sequence, pairing mode)\n",
        "msa_mode = \"mmseqs2_uniref_env\" #@param [\"mmseqs2_uniref_env\", \"mmseqs2_uniref\",\"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 \"mmseqs2\" in msa_mode:\n",
        "  a3m_file = os.path.join(jobname,f\"{jobname}.a3m\")\n",
        "\n",
        "elif msa_mode == \"custom\":\n",
        "  a3m_file = os.path.join(jobname,f\"{jobname}.custom.a3m\")\n",
        "  if not os.path.isfile(a3m_file):\n",
        "    custom_msa_dict = files.upload()\n",
        "    custom_msa = list(custom_msa_dict.keys())[0]\n",
        "    header = 0\n",
        "    import fileinput\n",
        "    for line in fileinput.FileInput(custom_msa,inplace=1):\n",
        "      if line.startswith(\">\"):\n",
        "         header = header + 1\n",
        "      if not line.rstrip():\n",
        "        continue\n",
        "      if line.startswith(\">\") == False and header == 1:\n",
        "         query_sequence = line.rstrip()\n",
        "      print(line, end='')\n",
        "\n",
        "    os.rename(custom_msa, a3m_file)\n",
        "    queries_path=a3m_file\n",
        "    print(f\"moving {custom_msa} to {a3m_file}\")\n",
        "\n",
        "else:\n",
        "  a3m_file = os.path.join(jobname,f\"{jobname}.single_sequence.a3m\")\n",
        "  with open(a3m_file, \"w\") as text_file:\n",
        "    text_file.write(\">1\\n%s\" % query_sequence)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "C2_sh2uAonJH"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown ### Advanced settings\n",
        "model_type = \"auto\" #@param [\"auto\", \"alphafold2_ptm\", \"alphafold2_multimer_v1\", \"alphafold2_multimer_v2\", \"alphafold2_multimer_v3\", \"deepfold_v1\"]\n",
        "#@markdown - if `auto` selected, will use `alphafold2_ptm` for monomer prediction and `alphafold2_multimer_v3` for complex prediction.\n",
        "#@markdown Any of the mode_types can be used (regardless if input is monomer or complex).\n",
        "num_recycles = \"3\" #@param [\"auto\", \"0\", \"1\", \"3\", \"6\", \"12\", \"24\", \"48\"]\n",
        "#@markdown - if `auto` selected, will use `num_recycles=20` if `model_type=alphafold2_multimer_v3`, else `num_recycles=3` .\n",
        "recycle_early_stop_tolerance = \"auto\" #@param [\"auto\", \"0.0\", \"0.5\", \"1.0\"]\n",
        "#@markdown - if `auto` selected, will use `tol=0.5` if `model_type=alphafold2_multimer_v3` else `tol=0.0`.\n",
        "relax_max_iterations = 200 #@param [0, 200, 2000] {type:\"raw\"}\n",
        "#@markdown - max amber relax iterations, `0` = unlimited (AlphaFold2 default, can take very long)\n",
        "pairing_strategy = \"greedy\" #@param [\"greedy\", \"complete\"] {type:\"string\"}\n",
        "#@markdown - `greedy` = pair any taxonomically matching subsets, `complete` = all sequences have to match in one line.\n",
        "\n",
        "\n",
        "#@markdown #### Sample settings\n",
        "#@markdown -  enable dropouts and increase number of seeds to sample predictions from uncertainty of the model.\n",
        "#@markdown -  decrease `max_msa` to increase uncertainity\n",
        "max_msa = \"auto\" #@param [\"auto\", \"512:1024\", \"256:512\", \"64:128\", \"32:64\", \"16:32\"]\n",
        "num_seeds = 1 #@param [1,2,4,8,16] {type:\"raw\"}\n",
        "use_dropout = False #@param {type:\"boolean\"}\n",
        "\n",
        "num_recycles = None if num_recycles == \"auto\" else int(num_recycles)\n",
        "recycle_early_stop_tolerance = None if recycle_early_stop_tolerance == \"auto\" else float(recycle_early_stop_tolerance)\n",
        "if max_msa == \"auto\": max_msa = None\n",
        "\n",
        "#@markdown #### Save settings\n",
        "save_all = False #@param {type:\"boolean\"}\n",
        "save_recycles = False #@param {type:\"boolean\"}\n",
        "save_to_google_drive = False #@param {type:\"boolean\"}\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",
        "if save_to_google_drive:\n",
        "  from pydrive2.drive import GoogleDrive\n",
        "  from pydrive2.auth import GoogleAuth\n",
        "  from google.colab import auth\n",
        "  from oauth2client.client import GoogleCredentials\n",
        "  auth.authenticate_user()\n",
        "  gauth = GoogleAuth()\n",
        "  gauth.credentials = GoogleCredentials.get_application_default()\n",
        "  drive = GoogleDrive(gauth)\n",
        "  print(\"You are logged into Google Drive and are good to go!\")\n",
        "\n",
        "#@markdown Don't forget to hit `Runtime` -> `Run all` after updating the form."
      ],
      "metadata": {
        "cellView": "form",
        "id": "ADDuaolKmjGW"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Run Prediction\n",
        "display_images = True #@param {type:\"boolean\"}\n",
        "\n",
        "import sys\n",
        "import warnings\n",
        "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
        "from Bio import BiopythonDeprecationWarning\n",
        "warnings.simplefilter(action='ignore', category=BiopythonDeprecationWarning)\n",
        "from pathlib import Path\n",
        "from colabfold.download import download_alphafold_params, default_data_dir\n",
        "from colabfold.utils import setup_logging\n",
        "from colabfold.batch import get_queries, run, set_model_type\n",
        "from colabfold.plot import plot_msa_v2\n",
        "\n",
        "import os\n",
        "import numpy as np\n",
        "try:\n",
        "  K80_chk = os.popen('nvidia-smi | grep \"Tesla K80\" | wc -l').read()\n",
        "except:\n",
        "  K80_chk = \"0\"\n",
        "  pass\n",
        "if \"1\" in K80_chk:\n",
        "  print(\"WARNING: found GPU Tesla K80: limited to total length < 1000\")\n",
        "  if \"TF_FORCE_UNIFIED_MEMORY\" in os.environ:\n",
        "    del os.environ[\"TF_FORCE_UNIFIED_MEMORY\"]\n",
        "  if \"XLA_PYTHON_CLIENT_MEM_FRACTION\" in os.environ:\n",
        "    del os.environ[\"XLA_PYTHON_CLIENT_MEM_FRACTION\"]\n",
        "\n",
        "from colabfold.colabfold import plot_protein\n",
        "from pathlib import Path\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# For some reason we need that to get pdbfixer to import\n",
        "if use_amber and f\"/usr/local/lib/python{python_version}/site-packages/\" not in sys.path:\n",
        "    sys.path.insert(0, f\"/usr/local/lib/python{python_version}/site-packages/\")\n",
        "\n",
        "def input_features_callback(input_features):\n",
        "  if display_images:\n",
        "    plot_msa_v2(input_features)\n",
        "    plt.show()\n",
        "    plt.close()\n",
        "\n",
        "def prediction_callback(protein_obj, length,\n",
        "                        prediction_result, input_features, mode):\n",
        "  model_name, relaxed = mode\n",
        "  if not relaxed:\n",
        "    if display_images:\n",
        "      fig = plot_protein(protein_obj, Ls=length, dpi=150)\n",
        "      plt.show()\n",
        "      plt.close()\n",
        "\n",
        "result_dir = jobname\n",
        "log_filename = os.path.join(jobname,\"log.txt\")\n",
        "setup_logging(Path(log_filename))\n",
        "\n",
        "queries, is_complex = get_queries(queries_path)\n",
        "model_type = set_model_type(is_complex, model_type)\n",
        "\n",
        "if \"multimer\" in model_type and max_msa is not None:\n",
        "  use_cluster_profile = False\n",
        "else:\n",
        "  use_cluster_profile = True\n",
        "\n",
        "download_alphafold_params(model_type, Path(\".\"))\n",
        "results = run(\n",
        "    queries=queries,\n",
        "    result_dir=result_dir,\n",
        "    use_templates=use_templates,\n",
        "    custom_template_path=custom_template_path,\n",
        "    num_relax=num_relax,\n",
        "    msa_mode=msa_mode,\n",
        "    model_type=model_type,\n",
        "    num_models=5,\n",
        "    num_recycles=num_recycles,\n",
        "    relax_max_iterations=relax_max_iterations,\n",
        "    recycle_early_stop_tolerance=recycle_early_stop_tolerance,\n",
        "    num_seeds=num_seeds,\n",
        "    use_dropout=use_dropout,\n",
        "    model_order=[1,2,3,4,5],\n",
        "    is_complex=is_complex,\n",
        "    data_dir=Path(\".\"),\n",
        "    keep_existing_results=False,\n",
        "    rank_by=\"auto\",\n",
        "    pair_mode=pair_mode,\n",
        "    pairing_strategy=pairing_strategy,\n",
        "    stop_at_score=float(100),\n",
        "    prediction_callback=prediction_callback,\n",
        "    dpi=dpi,\n",
        "    zip_results=False,\n",
        "    save_all=save_all,\n",
        "    max_msa=max_msa,\n",
        "    use_cluster_profile=use_cluster_profile,\n",
        "    input_features_callback=input_features_callback,\n",
        "    save_recycles=save_recycles,\n",
        "    user_agent=\"colabfold/google-colab-main\",\n",
        ")\n",
        "results_zip = f\"{jobname}.result.zip\"\n",
        "os.system(f\"zip -r {results_zip} {jobname}\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "mbaIO9pWjaN0",
        "outputId": "7bcaf3f3-427a-4b82-d3d8-771dd7a3cad5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading alphafold2_ptm weights to .: 100%|██████████| 3.47G/3.47G [00:22<00:00, 167MB/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2024-11-21 19:18:41,147 Running on GPU\n",
            "2024-11-21 19:18:41,475 Found 5 citations for tools or databases\n",
            "2024-11-21 19:18:41,475 Query 1/1: test_a5e17 (length 59)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "COMPLETE: 100%|██████████| 150/150 [elapsed: 00:27 remaining: 00:00]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2024-11-21 19:19:10,323 Setting max_seq=512, max_extra_seq=5120\n",
            "2024-11-21 19:19:40,166 alphafold2_ptm_model_1_seed_000 recycle=0 pLDDT=96.6 pTM=0.755\n",
            "2024-11-21 19:19:45,038 alphafold2_ptm_model_1_seed_000 recycle=1 pLDDT=96.6 pTM=0.758 tol=0.304\n",
            "2024-11-21 19:19:49,921 alphafold2_ptm_model_1_seed_000 recycle=2 pLDDT=96.4 pTM=0.757 tol=0.0431\n",
            "2024-11-21 19:19:54,819 alphafold2_ptm_model_1_seed_000 recycle=3 pLDDT=96.2 pTM=0.757 tol=0.0449\n",
            "2024-11-21 19:19:54,820 alphafold2_ptm_model_1_seed_000 took 34.8s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2024-11-21 19:19:59,858 alphafold2_ptm_model_2_seed_000 recycle=0 pLDDT=96.9 pTM=0.76\n",
            "2024-11-21 19:20:04,793 alphafold2_ptm_model_2_seed_000 recycle=1 pLDDT=97 pTM=0.765 tol=0.386\n",
            "2024-11-21 19:20:09,751 alphafold2_ptm_model_2_seed_000 recycle=2 pLDDT=96.9 pTM=0.765 tol=0.111\n",
            "2024-11-21 19:20:14,731 alphafold2_ptm_model_2_seed_000 recycle=3 pLDDT=96.8 pTM=0.767 tol=0.0764\n",
            "2024-11-21 19:20:14,732 alphafold2_ptm_model_2_seed_000 took 19.8s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2024-11-21 19:20:19,820 alphafold2_ptm_model_3_seed_000 recycle=0 pLDDT=97.2 pTM=0.775\n",
            "2024-11-21 19:20:24,838 alphafold2_ptm_model_3_seed_000 recycle=1 pLDDT=97.4 pTM=0.782 tol=0.293\n",
            "2024-11-21 19:20:29,874 alphafold2_ptm_model_3_seed_000 recycle=2 pLDDT=97.4 pTM=0.782 tol=0.109\n",
            "2024-11-21 19:20:34,942 alphafold2_ptm_model_3_seed_000 recycle=3 pLDDT=97.4 pTM=0.784 tol=0.0594\n",
            "2024-11-21 19:20:34,943 alphafold2_ptm_model_3_seed_000 took 20.1s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2024-11-21 19:20:40,102 alphafold2_ptm_model_4_seed_000 recycle=0 pLDDT=97.4 pTM=0.774\n",
            "2024-11-21 19:20:45,155 alphafold2_ptm_model_4_seed_000 recycle=1 pLDDT=97.4 pTM=0.781 tol=0.284\n",
            "2024-11-21 19:20:50,185 alphafold2_ptm_model_4_seed_000 recycle=2 pLDDT=97.2 pTM=0.778 tol=0.0804\n",
            "2024-11-21 19:20:55,207 alphafold2_ptm_model_4_seed_000 recycle=3 pLDDT=97.1 pTM=0.779 tol=0.0425\n",
            "2024-11-21 19:20:55,208 alphafold2_ptm_model_4_seed_000 took 20.2s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2024-11-21 19:21:00,308 alphafold2_ptm_model_5_seed_000 recycle=0 pLDDT=97.4 pTM=0.784\n",
            "2024-11-21 19:21:05,315 alphafold2_ptm_model_5_seed_000 recycle=1 pLDDT=96.9 pTM=0.784 tol=0.232\n",
            "2024-11-21 19:21:10,302 alphafold2_ptm_model_5_seed_000 recycle=2 pLDDT=96.3 pTM=0.777 tol=0.182\n",
            "2024-11-21 19:21:15,289 alphafold2_ptm_model_5_seed_000 recycle=3 pLDDT=96.2 pTM=0.777 tol=0.123\n",
            "2024-11-21 19:21:15,290 alphafold2_ptm_model_5_seed_000 took 20.0s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2024-11-21 19:21:15,397 reranking models by 'plddt' metric\n",
            "2024-11-21 19:21:15,397 rank_001_alphafold2_ptm_model_3_seed_000 pLDDT=97.4 pTM=0.784\n",
            "2024-11-21 19:21:15,398 rank_002_alphafold2_ptm_model_4_seed_000 pLDDT=97.1 pTM=0.779\n",
            "2024-11-21 19:21:15,399 rank_003_alphafold2_ptm_model_2_seed_000 pLDDT=96.8 pTM=0.767\n",
            "2024-11-21 19:21:15,399 rank_004_alphafold2_ptm_model_1_seed_000 pLDDT=96.2 pTM=0.757\n",
            "2024-11-21 19:21:15,400 rank_005_alphafold2_ptm_model_5_seed_000 pLDDT=96.2 pTM=0.777\n",
            "2024-11-21 19:21:16,532 Done\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KK7X9T44pWb7",
        "cellView": "form",
        "outputId": "4cc3f29d-0ece-4f7e-cdb4-d078f27f3b9f",
        "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",
        "from colabfold.colabfold import pymol_color_list, alphabet_list\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",
        "tag = results[\"rank\"][0][rank_num - 1]\n",
        "jobname_prefix = \".custom\" if msa_mode == \"custom\" else \"\"\n",
        "pdb_filename = f\"{jobname}/{jobname}{jobname_prefix}_unrelaxed_{tag}.pdb\"\n",
        "pdb_file = glob.glob(pdb_filename)\n",
        "\n",
        "def show_pdb(rank_num=1, show_sidechains=False, show_mainchains=False, color=\"lDDT\"):\n",
        "  model_name = f\"rank_{rank_num}\"\n",
        "  view = py3Dmol.view(js='https://3dmol.org/build/3Dmol.js',)\n",
        "  view.addModel(open(pdb_file[0],'r').read(),'pdb')\n",
        "\n",
        "  if color == \"lDDT\":\n",
        "    view.setStyle({'cartoon': {'colorscheme': {'prop':'b','gradient': 'roygb','min':50,'max':90}}})\n",
        "  elif color == \"rainbow\":\n",
        "    view.setStyle({'cartoon': {'color':'spectrum'}})\n",
        "  elif color == \"chain\":\n",
        "    chains = len(queries[0][1]) + 1 if is_complex else 1\n",
        "    for n,chain,color in zip(range(chains),alphabet_list,pymol_color_list):\n",
        "       view.setStyle({'chain':chain},{'cartoon': {'color':color}})\n",
        "\n",
        "  if show_sidechains:\n",
        "    BB = ['C','O','N']\n",
        "    view.addStyle({'and':[{'resn':[\"GLY\",\"PRO\"],'invert':True},{'atom':BB,'invert':True}]},\n",
        "                        {'stick':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "    view.addStyle({'and':[{'resn':\"GLY\"},{'atom':'CA'}]},\n",
        "                        {'sphere':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "    view.addStyle({'and':[{'resn':\"PRO\"},{'atom':['C','O'],'invert':True}]},\n",
        "                        {'stick':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "  if show_mainchains:\n",
        "    BB = ['C','O','N','CA']\n",
        "    view.addStyle({'atom':BB},{'stick':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "\n",
        "  view.zoomTo()\n",
        "  return view\n",
        "\n",
        "show_pdb(rank_num, show_sidechains, show_mainchains, color).show()\n",
        "if color == \"lDDT\":\n",
        "  plot_plddt_legend().show()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_1732216876710633\"  style=\"position: relative; width: 640px; height: 480px;\">\n        <p id=\"3dmolwarning_1732216876710633\" style=\"background-color:#ffcccc;color:black\">3Dmol.js failed to load for some reason.  Please check your browser console for error messages.<br></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    //this is to ignore the existence of requirejs amd\n    var savedexports, savedmodule;\n    if (typeof exports !== 'undefined') savedexports = exports;\n    else exports = {}\n    if (typeof module !== 'undefined') savedmodule = module;\n    else module = {}\n\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n        exports = savedexports;\n        module = savedmodule;\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_1732216876710633 = null;\nvar warn = document.getElementById(\"3dmolwarning_1732216876710633\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_1732216876710633 = $3Dmol.createViewer(document.getElementById(\"3dmolviewer_1732216876710633\"),{backgroundColor:\"white\"});\nviewer_1732216876710633.zoomTo();\n\tviewer_1732216876710633.addModel(\"MODEL     1                                                                     \\nATOM      1  N   PRO A   1      12.516   3.396  -6.668  1.00 97.44           N  \\nATOM      2  CA  PRO A   1      11.133   3.873  -6.621  1.00 97.44           C  \\nATOM      3  C   PRO A   1      10.531   3.814  -5.219  1.00 97.44           C  \\nATOM      4  CB  PRO A   1      10.398   2.918  -7.566  1.00 97.44           C  \\nATOM      5  O   PRO A   1      10.781   2.859  -4.477  1.00 97.44           O  \\nATOM      6  CG  PRO A   1      11.477   2.324  -8.422  1.00 97.44           C  \\nATOM      7  CD  PRO A   1      12.719   2.195  -7.590  1.00 97.44           C  \\nATOM      8  N   ILE A   2       9.977   4.902  -4.883  1.00 98.44           N  \\nATOM      9  CA  ILE A   2       9.359   4.961  -3.561  1.00 98.44           C  \\nATOM     10  C   ILE A   2       7.848   5.102  -3.703  1.00 98.44           C  \\nATOM     11  CB  ILE A   2       9.930   6.129  -2.725  1.00 98.44           C  \\nATOM     12  O   ILE A   2       7.367   5.945  -4.465  1.00 98.44           O  \\nATOM     13  CG1 ILE A   2      11.445   5.949  -2.518  1.00 98.44           C  \\nATOM     14  CG2 ILE A   2       9.203   6.234  -1.381  1.00 98.44           C  \\nATOM     15  CD1 ILE A   2      12.133   7.164  -1.906  1.00 98.44           C  \\nATOM     16  N   ALA A   3       7.082   4.238  -3.016  1.00 98.50           N  \\nATOM     17  CA  ALA A   3       5.625   4.344  -2.934  1.00 98.50           C  \\nATOM     18  C   ALA A   3       5.180   4.656  -1.509  1.00 98.50           C  \\nATOM     19  CB  ALA A   3       4.973   3.051  -3.420  1.00 98.50           C  \\nATOM     20  O   ALA A   3       5.668   4.055  -0.551  1.00 98.50           O  \\nATOM     21  N   GLN A   4       4.398   5.738  -1.412  1.00 98.69           N  \\nATOM     22  CA  GLN A   4       3.742   6.055  -0.148  1.00 98.69           C  \\nATOM     23  C   GLN A   4       2.250   5.746  -0.210  1.00 98.69           C  \\nATOM     24  CB  GLN A   4       3.959   7.527   0.216  1.00 98.69           C  \\nATOM     25  O   GLN A   4       1.548   6.223  -1.103  1.00 98.69           O  \\nATOM     26  CG  GLN A   4       5.406   7.871   0.544  1.00 98.69           C  \\nATOM     27  CD  GLN A   4       5.586   9.328   0.933  1.00 98.69           C  \\nATOM     28  NE2 GLN A   4       5.488   9.609   2.227  1.00 98.69           N  \\nATOM     29  OE1 GLN A   4       5.816  10.188   0.076  1.00 98.69           O  \\nATOM     30  N   ILE A   5       1.865   4.934   0.745  1.00 98.25           N  \\nATOM     31  CA  ILE A   5       0.466   4.523   0.794  1.00 98.25           C  \\nATOM     32  C   ILE A   5      -0.150   4.953   2.125  1.00 98.25           C  \\nATOM     33  CB  ILE A   5       0.315   2.998   0.600  1.00 98.25           C  \\nATOM     34  O   ILE A   5       0.389   4.648   3.191  1.00 98.25           O  \\nATOM     35  CG1 ILE A   5       0.938   2.566  -0.732  1.00 98.25           C  \\nATOM     36  CG2 ILE A   5      -1.158   2.588   0.676  1.00 98.25           C  \\nATOM     37  CD1 ILE A   5       0.993   1.058  -0.929  1.00 98.25           C  \\nATOM     38  N   HIS A   6      -1.211   5.703   2.000  1.00 97.56           N  \\nATOM     39  CA  HIS A   6      -2.000   6.094   3.162  1.00 97.56           C  \\nATOM     40  C   HIS A   6      -3.273   5.262   3.270  1.00 97.56           C  \\nATOM     41  CB  HIS A   6      -2.350   7.582   3.098  1.00 97.56           C  \\nATOM     42  O   HIS A   6      -4.047   5.180   2.314  1.00 97.56           O  \\nATOM     43  CG  HIS A   6      -1.155   8.484   3.121  1.00 97.56           C  \\nATOM     44  CD2 HIS A   6      -0.473   9.023   4.156  1.00 97.56           C  \\nATOM     45  ND1 HIS A   6      -0.533   8.922   1.973  1.00 97.56           N  \\nATOM     46  CE1 HIS A   6       0.486   9.695   2.303  1.00 97.56           C  \\nATOM     47  NE2 HIS A   6       0.544   9.781   3.619  1.00 97.56           N  \\nATOM     48  N   ILE A   7      -3.441   4.645   4.469  1.00 97.25           N  \\nATOM     49  CA  ILE A   7      -4.621   3.818   4.695  1.00 97.25           C  \\nATOM     50  C   ILE A   7      -5.188   4.094   6.086  1.00 97.25           C  \\nATOM     51  CB  ILE A   7      -4.297   2.316   4.535  1.00 97.25           C  \\nATOM     52  O   ILE A   7      -4.500   4.648   6.945  1.00 97.25           O  \\nATOM     53  CG1 ILE A   7      -3.301   1.867   5.609  1.00 97.25           C  \\nATOM     54  CG2 ILE A   7      -3.758   2.027   3.131  1.00 97.25           C  \\nATOM     55  CD1 ILE A   7      -3.033   0.369   5.617  1.00 97.25           C  \\nATOM     56  N   LEU A   8      -6.461   3.824   6.254  1.00 96.69           N  \\nATOM     57  CA  LEU A   8      -7.016   3.869   7.602  1.00 96.69           C  \\nATOM     58  C   LEU A   8      -6.422   2.768   8.469  1.00 96.69           C  \\nATOM     59  CB  LEU A   8      -8.539   3.732   7.555  1.00 96.69           C  \\nATOM     60  O   LEU A   8      -6.098   1.687   7.977  1.00 96.69           O  \\nATOM     61  CG  LEU A   8      -9.312   4.918   6.969  1.00 96.69           C  \\nATOM     62  CD1 LEU A   8     -10.789   4.566   6.820  1.00 96.69           C  \\nATOM     63  CD2 LEU A   8      -9.133   6.152   7.844  1.00 96.69           C  \\nATOM     64  N   GLU A   9      -6.328   3.021   9.742  1.00 96.56           N  \\nATOM     65  CA  GLU A   9      -5.855   2.002  10.672  1.00 96.56           C  \\nATOM     66  C   GLU A   9      -6.832   0.831  10.750  1.00 96.56           C  \\nATOM     67  CB  GLU A   9      -5.641   2.600  12.062  1.00 96.56           C  \\nATOM     68  O   GLU A   9      -7.984   0.946  10.320  1.00 96.56           O  \\nATOM     69  CG  GLU A   9      -6.926   3.047  12.742  1.00 96.56           C  \\nATOM     70  CD  GLU A   9      -6.691   3.670  14.109  1.00 96.56           C  \\nATOM     71  OE1 GLU A   9      -7.680   3.945  14.828  1.00 96.56           O  \\nATOM     72  OE2 GLU A   9      -5.512   3.887  14.469  1.00 96.56           O  \\nATOM     73  N   GLY A  10      -6.344  -0.346  11.180  1.00 96.44           N  \\nATOM     74  CA  GLY A  10      -7.242  -1.462  11.430  1.00 96.44           C  \\nATOM     75  C   GLY A  10      -6.914  -2.688  10.594  1.00 96.44           C  \\nATOM     76  O   GLY A  10      -7.496  -3.756  10.797  1.00 96.44           O  \\nATOM     77  N   ARG A  11      -5.895  -2.496   9.734  1.00 97.75           N  \\nATOM     78  CA  ARG A  11      -5.488  -3.676   8.977  1.00 97.75           C  \\nATOM     79  C   ARG A  11      -4.504  -4.523   9.773  1.00 97.75           C  \\nATOM     80  CB  ARG A  11      -4.867  -3.268   7.637  1.00 97.75           C  \\nATOM     81  O   ARG A  11      -3.725  -4.000  10.570  1.00 97.75           O  \\nATOM     82  CG  ARG A  11      -5.758  -2.367   6.793  1.00 97.75           C  \\nATOM     83  CD  ARG A  11      -7.191  -2.879   6.742  1.00 97.75           C  \\nATOM     84  NE  ARG A  11      -8.055  -1.989   5.973  1.00 97.75           N  \\nATOM     85  NH1 ARG A  11      -9.938  -3.312   6.164  1.00 97.75           N  \\nATOM     86  NH2 ARG A  11     -10.031  -1.338   5.000  1.00 97.75           N  \\nATOM     87  CZ  ARG A  11      -9.336  -2.215   5.715  1.00 97.75           C  \\nATOM     88  N   SER A  12      -4.594  -5.855   9.523  1.00 98.38           N  \\nATOM     89  CA  SER A  12      -3.670  -6.754  10.203  1.00 98.38           C  \\nATOM     90  C   SER A  12      -2.256  -6.617   9.656  1.00 98.38           C  \\nATOM     91  CB  SER A  12      -4.137  -8.203  10.070  1.00 98.38           C  \\nATOM     92  O   SER A  12      -2.062  -6.109   8.547  1.00 98.38           O  \\nATOM     93  OG  SER A  12      -3.998  -8.656   8.734  1.00 98.38           O  \\nATOM     94  N   ASP A  13      -1.265  -7.109  10.383  1.00 98.31           N  \\nATOM     95  CA  ASP A  13       0.116  -7.117   9.906  1.00 98.31           C  \\nATOM     96  C   ASP A  13       0.250  -7.930   8.625  1.00 98.31           C  \\nATOM     97  CB  ASP A  13       1.050  -7.676  10.984  1.00 98.31           C  \\nATOM     98  O   ASP A  13       1.018  -7.566   7.730  1.00 98.31           O  \\nATOM     99  CG  ASP A  13       1.268  -6.715  12.141  1.00 98.31           C  \\nATOM    100  OD1 ASP A  13       0.848  -5.539  12.039  1.00 98.31           O  \\nATOM    101  OD2 ASP A  13       1.868  -7.133  13.156  1.00 98.31           O  \\nATOM    102  N   GLU A  14      -0.515  -9.023   8.547  1.00 98.62           N  \\nATOM    103  CA  GLU A  14      -0.485  -9.867   7.355  1.00 98.62           C  \\nATOM    104  C   GLU A  14      -0.959  -9.094   6.125  1.00 98.62           C  \\nATOM    105  CB  GLU A  14      -1.343 -11.117   7.555  1.00 98.62           C  \\nATOM    106  O   GLU A  14      -0.361  -9.195   5.051  1.00 98.62           O  \\nATOM    107  CG  GLU A  14      -0.779 -12.094   8.578  1.00 98.62           C  \\nATOM    108  CD  GLU A  14      -1.028 -11.664  10.016  1.00 98.62           C  \\nATOM    109  OE1 GLU A  14      -0.314 -12.141  10.930  1.00 98.62           O  \\nATOM    110  OE2 GLU A  14      -1.946 -10.836  10.234  1.00 98.62           O  \\nATOM    111  N   GLN A  15      -1.993  -8.367   6.250  1.00 98.69           N  \\nATOM    112  CA  GLN A  15      -2.500  -7.570   5.137  1.00 98.69           C  \\nATOM    113  C   GLN A  15      -1.490  -6.504   4.723  1.00 98.69           C  \\nATOM    114  CB  GLN A  15      -3.830  -6.914   5.512  1.00 98.69           C  \\nATOM    115  O   GLN A  15      -1.273  -6.281   3.529  1.00 98.69           O  \\nATOM    116  CG  GLN A  15      -4.996  -7.895   5.602  1.00 98.69           C  \\nATOM    117  CD  GLN A  15      -6.277  -7.238   6.078  1.00 98.69           C  \\nATOM    118  NE2 GLN A  15      -7.293  -7.230   5.227  1.00 98.69           N  \\nATOM    119  OE1 GLN A  15      -6.352  -6.742   7.207  1.00 98.69           O  \\nATOM    120  N   LYS A  16      -0.865  -5.852   5.656  1.00 98.69           N  \\nATOM    121  CA  LYS A  16       0.135  -4.832   5.359  1.00 98.69           C  \\nATOM    122  C   LYS A  16       1.349  -5.438   4.660  1.00 98.69           C  \\nATOM    123  CB  LYS A  16       0.570  -4.113   6.637  1.00 98.69           C  \\nATOM    124  O   LYS A  16       1.880  -4.859   3.711  1.00 98.69           O  \\nATOM    125  CG  LYS A  16      -0.524  -3.273   7.277  1.00 98.69           C  \\nATOM    126  CD  LYS A  16      -0.014  -2.535   8.508  1.00 98.69           C  \\nATOM    127  CE  LYS A  16       0.071  -3.455   9.719  1.00 98.69           C  \\nATOM    128  NZ  LYS A  16       0.513  -2.723  10.945  1.00 98.69           N  \\nATOM    129  N   GLU A  17       1.703  -6.672   5.086  1.00 98.69           N  \\nATOM    130  CA  GLU A  17       2.797  -7.379   4.430  1.00 98.69           C  \\nATOM    131  C   GLU A  17       2.455  -7.699   2.977  1.00 98.69           C  \\nATOM    132  CB  GLU A  17       3.135  -8.672   5.184  1.00 98.69           C  \\nATOM    133  O   GLU A  17       3.289  -7.523   2.086  1.00 98.69           O  \\nATOM    134  CG  GLU A  17       4.355  -9.398   4.645  1.00 98.69           C  \\nATOM    135  CD  GLU A  17       4.711 -10.648   5.434  1.00 98.69           C  \\nATOM    136  OE1 GLU A  17       5.660 -11.367   5.047  1.00 98.69           O  \\nATOM    137  OE2 GLU A  17       4.031 -10.906   6.453  1.00 98.69           O  \\nATOM    138  N   THR A  18       1.219  -8.195   2.854  1.00 98.75           N  \\nATOM    139  CA  THR A  18       0.771  -8.531   1.506  1.00 98.75           C  \\nATOM    140  C   THR A  18       0.757  -7.293   0.617  1.00 98.75           C  \\nATOM    141  CB  THR A  18      -0.630  -9.172   1.524  1.00 98.75           C  \\nATOM    142  O   THR A  18       1.213  -7.336  -0.527  1.00 98.75           O  \\nATOM    143  CG2 THR A  18      -1.115  -9.477   0.111  1.00 98.75           C  \\nATOM    144  OG1 THR A  18      -0.584 -10.391   2.275  1.00 98.75           O  \\nATOM    145  N   LEU A  19       0.256  -6.176   1.128  1.00 98.69           N  \\nATOM    146  CA  LEU A  19       0.223  -4.922   0.384  1.00 98.69           C  \\nATOM    147  C   LEU A  19       1.629  -4.496  -0.026  1.00 98.69           C  \\nATOM    148  CB  LEU A  19      -0.433  -3.820   1.219  1.00 98.69           C  \\nATOM    149  O   LEU A  19       1.867  -4.168  -1.190  1.00 98.69           O  \\nATOM    150  CG  LEU A  19      -0.503  -2.434   0.578  1.00 98.69           C  \\nATOM    151  CD1 LEU A  19      -1.261  -2.500  -0.744  1.00 98.69           C  \\nATOM    152  CD2 LEU A  19      -1.159  -1.438   1.527  1.00 98.69           C  \\nATOM    153  N   ILE A  20       2.590  -4.512   0.885  1.00 98.75           N  \\nATOM    154  CA  ILE A  20       3.965  -4.105   0.617  1.00 98.75           C  \\nATOM    155  C   ILE A  20       4.559  -4.984  -0.479  1.00 98.75           C  \\nATOM    156  CB  ILE A  20       4.836  -4.176   1.893  1.00 98.75           C  \\nATOM    157  O   ILE A  20       5.191  -4.484  -1.412  1.00 98.75           O  \\nATOM    158  CG1 ILE A  20       4.449  -3.055   2.865  1.00 98.75           C  \\nATOM    159  CG2 ILE A  20       6.324  -4.102   1.536  1.00 98.75           C  \\nATOM    160  CD1 ILE A  20       5.043  -3.211   4.258  1.00 98.75           C  \\nATOM    161  N   ARG A  21       4.301  -6.289  -0.431  1.00 98.75           N  \\nATOM    162  CA  ARG A  21       4.832  -7.230  -1.412  1.00 98.75           C  \\nATOM    163  C   ARG A  21       4.246  -6.969  -2.795  1.00 98.75           C  \\nATOM    164  CB  ARG A  21       4.543  -8.672  -0.985  1.00 98.75           C  \\nATOM    165  O   ARG A  21       4.984  -6.863  -3.777  1.00 98.75           O  \\nATOM    166  CG  ARG A  21       5.090  -9.719  -1.942  1.00 98.75           C  \\nATOM    167  CD  ARG A  21       4.812 -11.133  -1.452  1.00 98.75           C  \\nATOM    168  NE  ARG A  21       3.387 -11.344  -1.211  1.00 98.75           N  \\nATOM    169  NH1 ARG A  21       2.820 -11.508  -3.445  1.00 98.75           N  \\nATOM    170  NH2 ARG A  21       1.205 -11.703  -1.831  1.00 98.75           N  \\nATOM    171  CZ  ARG A  21       2.475 -11.516  -2.162  1.00 98.75           C  \\nATOM    172  N   GLU A  22       3.027  -6.801  -2.795  1.00 98.75           N  \\nATOM    173  CA  GLU A  22       2.355  -6.680  -4.086  1.00 98.75           C  \\nATOM    174  C   GLU A  22       2.703  -5.355  -4.762  1.00 98.75           C  \\nATOM    175  CB  GLU A  22       0.839  -6.801  -3.918  1.00 98.75           C  \\nATOM    176  O   GLU A  22       2.947  -5.316  -5.973  1.00 98.75           O  \\nATOM    177  CG  GLU A  22       0.375  -8.195  -3.521  1.00 98.75           C  \\nATOM    178  CD  GLU A  22       0.574  -9.227  -4.617  1.00 98.75           C  \\nATOM    179  OE1 GLU A  22       0.891 -10.398  -4.301  1.00 98.75           O  \\nATOM    180  OE2 GLU A  22       0.413  -8.867  -5.805  1.00 98.75           O  \\nATOM    181  N   VAL A  23       2.717  -4.289  -4.070  1.00 98.69           N  \\nATOM    182  CA  VAL A  23       3.074  -2.984  -4.617  1.00 98.69           C  \\nATOM    183  C   VAL A  23       4.523  -3.002  -5.094  1.00 98.69           C  \\nATOM    184  CB  VAL A  23       2.869  -1.858  -3.578  1.00 98.69           C  \\nATOM    185  O   VAL A  23       4.832  -2.518  -6.184  1.00 98.69           O  \\nATOM    186  CG1 VAL A  23       3.475  -0.547  -4.074  1.00 98.69           C  \\nATOM    187  CG2 VAL A  23       1.384  -1.683  -3.270  1.00 98.69           C  \\nATOM    188  N   SER A  24       5.434  -3.537  -4.266  1.00 98.81           N  \\nATOM    189  CA  SER A  24       6.840  -3.631  -4.645  1.00 98.81           C  \\nATOM    190  C   SER A  24       7.008  -4.379  -5.961  1.00 98.81           C  \\nATOM    191  CB  SER A  24       7.645  -4.324  -3.545  1.00 98.81           C  \\nATOM    192  O   SER A  24       7.723  -3.922  -6.855  1.00 98.81           O  \\nATOM    193  OG  SER A  24       7.621  -3.566  -2.348  1.00 98.81           O  \\nATOM    194  N   GLU A  25       6.305  -5.551  -6.121  1.00 98.81           N  \\nATOM    195  CA  GLU A  25       6.395  -6.371  -7.328  1.00 98.81           C  \\nATOM    196  C   GLU A  25       5.824  -5.633  -8.539  1.00 98.81           C  \\nATOM    197  CB  GLU A  25       5.660  -7.699  -7.129  1.00 98.81           C  \\nATOM    198  O   GLU A  25       6.387  -5.703  -9.633  1.00 98.81           O  \\nATOM    199  CG  GLU A  25       6.387  -8.672  -6.207  1.00 98.81           C  \\nATOM    200  CD  GLU A  25       5.609  -9.953  -5.949  1.00 98.81           C  \\nATOM    201  OE1 GLU A  25       6.148 -10.867  -5.289  1.00 98.81           O  \\nATOM    202  OE2 GLU A  25       4.449 -10.039  -6.414  1.00 98.81           O  \\nATOM    203  N   ALA A  26       4.723  -4.941  -8.305  1.00 98.75           N  \\nATOM    204  CA  ALA A  26       4.105  -4.184  -9.391  1.00 98.75           C  \\nATOM    205  C   ALA A  26       5.047  -3.094  -9.906  1.00 98.75           C  \\nATOM    206  CB  ALA A  26       2.785  -3.570  -8.938  1.00 98.75           C  \\nATOM    207  O   ALA A  26       5.207  -2.922 -11.117  1.00 98.75           O  \\nATOM    208  N   ILE A  27       5.641  -2.383  -9.039  1.00 98.75           N  \\nATOM    209  CA  ILE A  27       6.551  -1.302  -9.398  1.00 98.75           C  \\nATOM    210  C   ILE A  27       7.773  -1.873 -10.117  1.00 98.75           C  \\nATOM    211  CB  ILE A  27       6.984  -0.488  -8.164  1.00 98.75           C  \\nATOM    212  O   ILE A  27       8.180  -1.363 -11.156  1.00 98.75           O  \\nATOM    213  CG1 ILE A  27       5.816   0.358  -7.641  1.00 98.75           C  \\nATOM    214  CG2 ILE A  27       8.195   0.392  -8.492  1.00 98.75           C  \\nATOM    215  CD1 ILE A  27       6.102   1.062  -6.320  1.00 98.75           C  \\nATOM    216  N   SER A  28       8.352  -2.893  -9.469  1.00 98.75           N  \\nATOM    217  CA  SER A  28       9.516  -3.520 -10.078  1.00 98.75           C  \\nATOM    218  C   SER A  28       9.219  -3.975 -11.500  1.00 98.75           C  \\nATOM    219  CB  SER A  28       9.984  -4.711  -9.242  1.00 98.75           C  \\nATOM    220  O   SER A  28       9.992  -3.695 -12.422  1.00 98.75           O  \\nATOM    221  OG  SER A  28      11.094  -5.348  -9.852  1.00 98.75           O  \\nATOM    222  N   ARG A  29       8.086  -4.641 -11.742  1.00 98.56           N  \\nATOM    223  CA  ARG A  29       7.703  -5.160 -13.055  1.00 98.56           C  \\nATOM    224  C   ARG A  29       7.422  -4.027 -14.031  1.00 98.56           C  \\nATOM    225  CB  ARG A  29       6.473  -6.066 -12.938  1.00 98.56           C  \\nATOM    226  O   ARG A  29       7.844  -4.082 -15.188  1.00 98.56           O  \\nATOM    227  CG  ARG A  29       6.781  -7.465 -12.422  1.00 98.56           C  \\nATOM    228  CD  ARG A  29       5.586  -8.398 -12.570  1.00 98.56           C  \\nATOM    229  NE  ARG A  29       4.449  -7.941 -11.773  1.00 98.56           N  \\nATOM    230  NH1 ARG A  29       2.863  -8.469 -13.367  1.00 98.56           N  \\nATOM    231  NH2 ARG A  29       2.225  -7.543 -11.375  1.00 98.56           N  \\nATOM    232  CZ  ARG A  29       3.182  -7.984 -12.172  1.00 98.56           C  \\nATOM    233  N   SER A  30       6.828  -3.012 -13.633  1.00 98.62           N  \\nATOM    234  CA  SER A  30       6.352  -1.939 -14.500  1.00 98.62           C  \\nATOM    235  C   SER A  30       7.500  -1.038 -14.945  1.00 98.62           C  \\nATOM    236  CB  SER A  30       5.285  -1.106 -13.789  1.00 98.62           C  \\nATOM    237  O   SER A  30       7.500  -0.537 -16.078  1.00 98.62           O  \\nATOM    238  OG  SER A  30       4.137  -1.890 -13.516  1.00 98.62           O  \\nATOM    239  N   LEU A  31       8.430  -0.912 -14.070  1.00 98.38           N  \\nATOM    240  CA  LEU A  31       9.484   0.060 -14.359  1.00 98.38           C  \\nATOM    241  C   LEU A  31      10.812  -0.639 -14.617  1.00 98.38           C  \\nATOM    242  CB  LEU A  31       9.633   1.045 -13.195  1.00 98.38           C  \\nATOM    243  O   LEU A  31      11.828   0.019 -14.852  1.00 98.38           O  \\nATOM    244  CG  LEU A  31       8.406   1.905 -12.875  1.00 98.38           C  \\nATOM    245  CD1 LEU A  31       8.703   2.834 -11.703  1.00 98.38           C  \\nATOM    246  CD2 LEU A  31       7.980   2.703 -14.102  1.00 98.38           C  \\nATOM    247  N   ASP A  32      10.781  -1.960 -14.617  1.00 98.06           N  \\nATOM    248  CA  ASP A  32      12.000  -2.736 -14.789  1.00 98.06           C  \\nATOM    249  C   ASP A  32      13.078  -2.293 -13.805  1.00 98.06           C  \\nATOM    250  CB  ASP A  32      12.516  -2.611 -16.234  1.00 98.06           C  \\nATOM    251  O   ASP A  32      14.242  -2.119 -14.188  1.00 98.06           O  \\nATOM    252  CG  ASP A  32      13.539  -3.676 -16.594  1.00 98.06           C  \\nATOM    253  OD1 ASP A  32      13.500  -4.777 -16.000  1.00 98.06           O  \\nATOM    254  OD2 ASP A  32      14.391  -3.408 -17.469  1.00 98.06           O  \\nATOM    255  N   ALA A  33      12.750  -2.047 -12.562  1.00 98.44           N  \\nATOM    256  CA  ALA A  33      13.664  -1.729 -11.477  1.00 98.44           C  \\nATOM    257  C   ALA A  33      13.883  -2.941 -10.570  1.00 98.44           C  \\nATOM    258  CB  ALA A  33      13.141  -0.552 -10.656  1.00 98.44           C  \\nATOM    259  O   ALA A  33      13.000  -3.785 -10.430  1.00 98.44           O  \\nATOM    260  N   PRO A  34      15.188  -3.096 -10.086  1.00 98.56           N  \\nATOM    261  CA  PRO A  34      15.398  -4.188  -9.133  1.00 98.56           C  \\nATOM    262  C   PRO A  34      14.477  -4.094  -7.918  1.00 98.56           C  \\nATOM    263  CB  PRO A  34      16.859  -4.016  -8.719  1.00 98.56           C  \\nATOM    264  O   PRO A  34      14.297  -3.010  -7.355  1.00 98.56           O  \\nATOM    265  CG  PRO A  34      17.453  -3.148  -9.781  1.00 98.56           C  \\nATOM    266  CD  PRO A  34      16.375  -2.273 -10.344  1.00 98.56           C  \\nATOM    267  N   LEU A  35      13.930  -5.195  -7.535  1.00 98.50           N  \\nATOM    268  CA  LEU A  35      13.016  -5.262  -6.402  1.00 98.50           C  \\nATOM    269  C   LEU A  35      13.664  -4.699  -5.145  1.00 98.50           C  \\nATOM    270  CB  LEU A  35      12.570  -6.703  -6.160  1.00 98.50           C  \\nATOM    271  O   LEU A  35      13.008  -4.035  -4.340  1.00 98.50           O  \\nATOM    272  CG  LEU A  35      11.414  -6.898  -5.168  1.00 98.50           C  \\nATOM    273  CD1 LEU A  35      10.148  -6.223  -5.688  1.00 98.50           C  \\nATOM    274  CD2 LEU A  35      11.172  -8.383  -4.918  1.00 98.50           C  \\nATOM    275  N   THR A  36      14.898  -4.848  -5.047  1.00 98.44           N  \\nATOM    276  CA  THR A  36      15.648  -4.441  -3.861  1.00 98.44           C  \\nATOM    277  C   THR A  36      15.711  -2.922  -3.750  1.00 98.44           C  \\nATOM    278  CB  THR A  36      17.078  -5.016  -3.883  1.00 98.44           C  \\nATOM    279  O   THR A  36      16.016  -2.383  -2.684  1.00 98.44           O  \\nATOM    280  CG2 THR A  36      17.062  -6.539  -3.768  1.00 98.44           C  \\nATOM    281  OG1 THR A  36      17.719  -4.648  -5.109  1.00 98.44           O  \\nATOM    282  N   SER A  37      15.516  -2.256  -4.863  1.00 98.50           N  \\nATOM    283  CA  SER A  37      15.578  -0.797  -4.863  1.00 98.50           C  \\nATOM    284  C   SER A  37      14.227  -0.185  -4.527  1.00 98.50           C  \\nATOM    285  CB  SER A  37      16.062  -0.280  -6.215  1.00 98.50           C  \\nATOM    286  O   SER A  37      14.117   1.029  -4.344  1.00 98.50           O  \\nATOM    287  OG  SER A  37      15.062  -0.445  -7.207  1.00 98.50           O  \\nATOM    288  N   VAL A  38      13.109  -0.936  -4.395  1.00 98.69           N  \\nATOM    289  CA  VAL A  38      11.750  -0.442  -4.180  1.00 98.69           C  \\nATOM    290  C   VAL A  38      11.484  -0.297  -2.686  1.00 98.69           C  \\nATOM    291  CB  VAL A  38      10.703  -1.375  -4.824  1.00 98.69           C  \\nATOM    292  O   VAL A  38      11.734  -1.226  -1.911  1.00 98.69           O  \\nATOM    293  CG1 VAL A  38       9.289  -0.877  -4.531  1.00 98.69           C  \\nATOM    294  CG2 VAL A  38      10.938  -1.481  -6.328  1.00 98.69           C  \\nATOM    295  N   ARG A  39      11.086   0.848  -2.254  1.00 98.75           N  \\nATOM    296  CA  ARG A  39      10.664   1.119  -0.884  1.00 98.75           C  \\nATOM    297  C   ARG A  39       9.172   1.436  -0.824  1.00 98.75           C  \\nATOM    298  CB  ARG A  39      11.469   2.275  -0.290  1.00 98.75           C  \\nATOM    299  O   ARG A  39       8.664   2.223  -1.628  1.00 98.75           O  \\nATOM    300  CG  ARG A  39      12.961   2.004  -0.199  1.00 98.75           C  \\nATOM    301  CD  ARG A  39      13.250   0.674   0.482  1.00 98.75           C  \\nATOM    302  NE  ARG A  39      14.688   0.429   0.596  1.00 98.75           N  \\nATOM    303  NH1 ARG A  39      14.578  -1.757  -0.146  1.00 98.75           N  \\nATOM    304  NH2 ARG A  39      16.594  -0.834   0.436  1.00 98.75           N  \\nATOM    305  CZ  ARG A  39      15.289  -0.720   0.295  1.00 98.75           C  \\nATOM    306  N   VAL A  40       8.430   0.775   0.030  1.00 98.69           N  \\nATOM    307  CA  VAL A  40       7.008   1.022   0.277  1.00 98.69           C  \\nATOM    308  C   VAL A  40       6.805   1.450   1.728  1.00 98.69           C  \\nATOM    309  CB  VAL A  40       6.152  -0.224  -0.038  1.00 98.69           C  \\nATOM    310  O   VAL A  40       7.207   0.741   2.654  1.00 98.69           O  \\nATOM    311  CG1 VAL A  40       4.672   0.058   0.221  1.00 98.69           C  \\nATOM    312  CG2 VAL A  40       6.371  -0.670  -1.482  1.00 98.69           C  \\nATOM    313  N   ILE A  41       6.246   2.580   1.883  1.00 98.69           N  \\nATOM    314  CA  ILE A  41       5.969   3.135   3.205  1.00 98.69           C  \\nATOM    315  C   ILE A  41       4.461   3.227   3.422  1.00 98.69           C  \\nATOM    316  CB  ILE A  41       6.621   4.523   3.383  1.00 98.69           C  \\nATOM    317  O   ILE A  41       3.750   3.852   2.629  1.00 98.69           O  \\nATOM    318  CG1 ILE A  41       8.125   4.445   3.094  1.00 98.69           C  \\nATOM    319  CG2 ILE A  41       6.363   5.062   4.793  1.00 98.69           C  \\nATOM    320  CD1 ILE A  41       8.789   5.805   2.891  1.00 98.69           C  \\nATOM    321  N   ILE A  42       3.992   2.574   4.465  1.00 98.56           N  \\nATOM    322  CA  ILE A  42       2.584   2.645   4.836  1.00 98.56           C  \\nATOM    323  C   ILE A  42       2.406   3.605   6.012  1.00 98.56           C  \\nATOM    324  CB  ILE A  42       2.025   1.249   5.199  1.00 98.56           C  \\nATOM    325  O   ILE A  42       3.072   3.469   7.039  1.00 98.56           O  \\nATOM    326  CG1 ILE A  42       2.115   0.309   3.992  1.00 98.56           C  \\nATOM    327  CG2 ILE A  42       0.582   1.358   5.699  1.00 98.56           C  \\nATOM    328  CD1 ILE A  42       1.700  -1.125   4.289  1.00 98.56           C  \\nATOM    329  N   THR A  43       1.606   4.633   5.766  1.00 98.12           N  \\nATOM    330  CA  THR A  43       1.162   5.531   6.828  1.00 98.12           C  \\nATOM    331  C   THR A  43      -0.300   5.270   7.180  1.00 98.12           C  \\nATOM    332  CB  THR A  43       1.342   7.004   6.426  1.00 98.12           C  \\nATOM    333  O   THR A  43      -1.178   5.367   6.320  1.00 98.12           O  \\nATOM    334  CG2 THR A  43       0.959   7.938   7.570  1.00 98.12           C  \\nATOM    335  OG1 THR A  43       2.713   7.234   6.074  1.00 98.12           O  \\nATOM    336  N   GLU A  44      -0.508   4.961   8.438  1.00 97.69           N  \\nATOM    337  CA  GLU A  44      -1.862   4.688   8.906  1.00 97.69           C  \\nATOM    338  C   GLU A  44      -2.467   5.910   9.594  1.00 97.69           C  \\nATOM    339  CB  GLU A  44      -1.868   3.494   9.867  1.00 97.69           C  \\nATOM    340  O   GLU A  44      -1.787   6.602  10.359  1.00 97.69           O  \\nATOM    341  CG  GLU A  44      -1.434   2.186   9.219  1.00 97.69           C  \\nATOM    342  CD  GLU A  44      -1.372   1.024  10.195  1.00 97.69           C  \\nATOM    343  OE1 GLU A  44      -2.295   0.177  10.195  1.00 97.69           O  \\nATOM    344  OE2 GLU A  44      -0.395   0.962  10.977  1.00 97.69           O  \\nATOM    345  N   MET A  45      -3.809   6.125   9.219  1.00 96.88           N  \\nATOM    346  CA  MET A  45      -4.543   7.238   9.812  1.00 96.88           C  \\nATOM    347  C   MET A  45      -5.684   6.734  10.695  1.00 96.88           C  \\nATOM    348  CB  MET A  45      -5.090   8.164   8.727  1.00 96.88           C  \\nATOM    349  O   MET A  45      -6.469   5.887  10.273  1.00 96.88           O  \\nATOM    350  CG  MET A  45      -4.016   8.812   7.875  1.00 96.88           C  \\nATOM    351  SD  MET A  45      -4.707   9.719   6.434  1.00 96.88           S  \\nATOM    352  CE  MET A  45      -5.238   8.320   5.406  1.00 96.88           C  \\nATOM    353  N   ALA A  46      -5.617   7.273  11.906  1.00 96.88           N  \\nATOM    354  CA  ALA A  46      -6.805   7.047  12.734  1.00 96.88           C  \\nATOM    355  C   ALA A  46      -8.062   7.574  12.047  1.00 96.88           C  \\nATOM    356  CB  ALA A  46      -6.633   7.703  14.102  1.00 96.88           C  \\nATOM    357  O   ALA A  46      -7.992   8.539  11.281  1.00 96.88           O  \\nATOM    358  N   LYS A  47      -9.227   6.984  12.242  1.00 95.06           N  \\nATOM    359  CA  LYS A  47     -10.477   7.359  11.586  1.00 95.06           C  \\nATOM    360  C   LYS A  47     -10.867   8.797  11.914  1.00 95.06           C  \\nATOM    361  CB  LYS A  47     -11.602   6.406  11.992  1.00 95.06           C  \\nATOM    362  O   LYS A  47     -11.539   9.461  11.117  1.00 95.06           O  \\nATOM    363  CG  LYS A  47     -11.422   4.980  11.484  1.00 95.06           C  \\nATOM    364  CD  LYS A  47     -12.594   4.094  11.883  1.00 95.06           C  \\nATOM    365  CE  LYS A  47     -12.406   2.662  11.406  1.00 95.06           C  \\nATOM    366  NZ  LYS A  47     -13.547   1.787  11.805  1.00 95.06           N  \\nATOM    367  N   GLY A  48     -10.469   9.328  12.992  1.00 96.38           N  \\nATOM    368  CA  GLY A  48     -10.750  10.703  13.375  1.00 96.38           C  \\nATOM    369  C   GLY A  48      -9.812  11.703  12.727  1.00 96.38           C  \\nATOM    370  O   GLY A  48      -9.992  12.914  12.875  1.00 96.38           O  \\nATOM    371  N   HIS A  49      -8.836  11.297  12.023  1.00 95.50           N  \\nATOM    372  CA  HIS A  49      -7.848  12.164  11.391  1.00 95.50           C  \\nATOM    373  C   HIS A  49      -8.023  12.180   9.875  1.00 95.50           C  \\nATOM    374  CB  HIS A  49      -6.430  11.711  11.750  1.00 95.50           C  \\nATOM    375  O   HIS A  49      -7.215  12.781   9.156  1.00 95.50           O  \\nATOM    376  CG  HIS A  49      -6.129  11.797  13.211  1.00 95.50           C  \\nATOM    377  CD2 HIS A  49      -6.902  12.164  14.258  1.00 95.50           C  \\nATOM    378  ND1 HIS A  49      -4.895  11.484  13.734  1.00 95.50           N  \\nATOM    379  CE1 HIS A  49      -4.922  11.656  15.047  1.00 95.50           C  \\nATOM    380  NE2 HIS A  49      -6.133  12.062  15.391  1.00 95.50           N  \\nATOM    381  N   PHE A  50      -9.062  11.445   9.406  1.00 95.69           N  \\nATOM    382  CA  PHE A  50      -9.258  11.352   7.965  1.00 95.69           C  \\nATOM    383  C   PHE A  50     -10.680  11.742   7.582  1.00 95.69           C  \\nATOM    384  CB  PHE A  50      -8.945   9.938   7.473  1.00 95.69           C  \\nATOM    385  O   PHE A  50     -11.641  11.164   8.094  1.00 95.69           O  \\nATOM    386  CG  PHE A  50      -8.891   9.812   5.973  1.00 95.69           C  \\nATOM    387  CD1 PHE A  50      -9.930   9.211   5.270  1.00 95.69           C  \\nATOM    388  CD2 PHE A  50      -7.797  10.297   5.266  1.00 95.69           C  \\nATOM    389  CE1 PHE A  50      -9.883   9.102   3.885  1.00 95.69           C  \\nATOM    390  CE2 PHE A  50      -7.742  10.180   3.881  1.00 95.69           C  \\nATOM    391  CZ  PHE A  50      -8.781   9.586   3.191  1.00 95.69           C  \\nATOM    392  N   GLY A  51     -10.812  12.773   6.664  1.00 95.06           N  \\nATOM    393  CA  GLY A  51     -12.102  13.227   6.172  1.00 95.06           C  \\nATOM    394  C   GLY A  51     -12.406  12.734   4.766  1.00 95.06           C  \\nATOM    395  O   GLY A  51     -11.516  12.695   3.912  1.00 95.06           O  \\nATOM    396  N   ILE A  52     -13.617  12.242   4.617  1.00 94.56           N  \\nATOM    397  CA  ILE A  52     -14.125  11.883   3.297  1.00 94.56           C  \\nATOM    398  C   ILE A  52     -15.367  12.711   2.982  1.00 94.56           C  \\nATOM    399  CB  ILE A  52     -14.438  10.375   3.203  1.00 94.56           C  \\nATOM    400  O   ILE A  52     -16.391  12.594   3.670  1.00 94.56           O  \\nATOM    401  CG1 ILE A  52     -13.234   9.547   3.650  1.00 94.56           C  \\nATOM    402  CG2 ILE A  52     -14.867  10.000   1.779  1.00 94.56           C  \\nATOM    403  CD1 ILE A  52     -13.547   8.078   3.895  1.00 94.56           C  \\nATOM    404  N   GLY A  53     -15.312  13.586   1.971  1.00 94.88           N  \\nATOM    405  CA  GLY A  53     -16.453  14.406   1.628  1.00 94.88           C  \\nATOM    406  C   GLY A  53     -16.891  15.328   2.752  1.00 94.88           C  \\nATOM    407  O   GLY A  53     -18.078  15.578   2.936  1.00 94.88           O  \\nATOM    408  N   GLY A  54     -16.016  15.820   3.588  1.00 96.00           N  \\nATOM    409  CA  GLY A  54     -16.297  16.766   4.652  1.00 96.00           C  \\nATOM    410  C   GLY A  54     -16.672  16.094   5.961  1.00 96.00           C  \\nATOM    411  O   GLY A  54     -17.031  16.781   6.926  1.00 96.00           O  \\nATOM    412  N   GLU A  55     -16.703  14.750   6.070  1.00 97.12           N  \\nATOM    413  CA  GLU A  55     -17.047  14.000   7.277  1.00 97.12           C  \\nATOM    414  C   GLU A  55     -15.891  13.102   7.723  1.00 97.12           C  \\nATOM    415  CB  GLU A  55     -18.312  13.164   7.051  1.00 97.12           C  \\nATOM    416  O   GLU A  55     -15.195  12.523   6.887  1.00 97.12           O  \\nATOM    417  CG  GLU A  55     -19.547  13.992   6.777  1.00 97.12           C  \\nATOM    418  CD  GLU A  55     -20.828  13.172   6.777  1.00 97.12           C  \\nATOM    419  OE1 GLU A  55     -21.938  13.766   6.672  1.00 97.12           O  \\nATOM    420  OE2 GLU A  55     -20.734  11.930   6.883  1.00 97.12           O  \\nATOM    421  N   LEU A  56     -15.758  13.086   9.016  1.00 95.75           N  \\nATOM    422  CA  LEU A  56     -14.734  12.188   9.547  1.00 95.75           C  \\nATOM    423  C   LEU A  56     -14.984  10.750   9.109  1.00 95.75           C  \\nATOM    424  CB  LEU A  56     -14.695  12.273  11.078  1.00 95.75           C  \\nATOM    425  O   LEU A  56     -16.141  10.305   9.062  1.00 95.75           O  \\nATOM    426  CG  LEU A  56     -14.070  13.539  11.672  1.00 95.75           C  \\nATOM    427  CD1 LEU A  56     -14.297  13.578  13.180  1.00 95.75           C  \\nATOM    428  CD2 LEU A  56     -12.586  13.617  11.344  1.00 95.75           C  \\nATOM    429  N   ALA A  57     -13.875  10.086   8.820  1.00 93.81           N  \\nATOM    430  CA  ALA A  57     -14.008   8.672   8.477  1.00 93.81           C  \\nATOM    431  C   ALA A  57     -14.570   7.867   9.641  1.00 93.81           C  \\nATOM    432  CB  ALA A  57     -12.664   8.102   8.031  1.00 93.81           C  \\nATOM    433  O   ALA A  57     -15.102   6.773   9.453  1.00 93.81           O  \\nATOM    434  N   SER A  58     -14.469   8.398  10.766  1.00 93.38           N  \\nATOM    435  CA  SER A  58     -14.984   7.746  11.969  1.00 93.38           C  \\nATOM    436  C   SER A  58     -16.500   7.840  12.039  1.00 93.38           C  \\nATOM    437  CB  SER A  58     -14.367   8.367  13.219  1.00 93.38           C  \\nATOM    438  O   SER A  58     -17.141   7.090  12.781  1.00 93.38           O  \\nATOM    439  OG  SER A  58     -14.633   9.758  13.281  1.00 93.38           O  \\nATOM    440  N   LYS A  59     -17.078   8.812  11.250  1.00 84.12           N  \\nATOM    441  CA  LYS A  59     -18.516   8.977  11.305  1.00 84.12           C  \\nATOM    442  C   LYS A  59     -19.219   8.148  10.219  1.00 84.12           C  \\nATOM    443  CB  LYS A  59     -18.906  10.453  11.156  1.00 84.12           C  \\nATOM    444  O   LYS A  59     -20.281   7.590  10.453  1.00 84.12           O  \\nATOM    445  CG  LYS A  59     -18.609  11.297  12.383  1.00 84.12           C  \\nATOM    446  CD  LYS A  59     -19.172  12.703  12.250  1.00 84.12           C  \\nATOM    447  CE  LYS A  59     -18.875  13.547  13.484  1.00 84.12           C  \\nATOM    448  NZ  LYS A  59     -19.453  14.922  13.367  1.00 84.12           N  \\nTER     449      LYS A  59                                                      \\nENDMDL                                                                          \\nEND                                                                             \\n\",\"pdb\");\n\tviewer_1732216876710633.setStyle({\"cartoon\": {\"colorscheme\": {\"prop\": \"b\", \"gradient\": \"roygb\", \"min\": 50, \"max\": 90}}});\n\tviewer_1732216876710633.zoomTo();\nviewer_1732216876710633.render();\n});\n</script>",
            "text/html": [
              "<div id=\"3dmolviewer_1732216876710633\"  style=\"position: relative; width: 640px; height: 480px;\">\n",
              "        <p id=\"3dmolwarning_1732216876710633\" style=\"background-color:#ffcccc;color:black\">3Dmol.js failed to load for some reason.  Please check your browser console for error messages.<br></p>\n",
              "        </div>\n",
              "<script>\n",
              "\n",
              "var loadScriptAsync = function(uri){\n",
              "  return new Promise((resolve, reject) => {\n",
              "    //this is to ignore the existence of requirejs amd\n",
              "    var savedexports, savedmodule;\n",
              "    if (typeof exports !== 'undefined') savedexports = exports;\n",
              "    else exports = {}\n",
              "    if (typeof module !== 'undefined') savedmodule = module;\n",
              "    else module = {}\n",
              "\n",
              "    var tag = document.createElement('script');\n",
              "    tag.src = uri;\n",
              "    tag.async = true;\n",
              "    tag.onload = () => {\n",
              "        exports = savedexports;\n",
              "        module = savedmodule;\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_1732216876710633 = null;\n",
              "var warn = document.getElementById(\"3dmolwarning_1732216876710633\");\n",
              "if(warn) {\n",
              "    warn.parentNode.removeChild(warn);\n",
              "}\n",
              "$3Dmolpromise.then(function() {\n",
              "viewer_1732216876710633 = $3Dmol.createViewer(document.getElementById(\"3dmolviewer_1732216876710633\"),{backgroundColor:\"white\"});\n",
              "viewer_1732216876710633.zoomTo();\n",
              "\tviewer_1732216876710633.addModel(\"MODEL     1                                                                     \\nATOM      1  N   PRO A   1      12.516   3.396  -6.668  1.00 97.44           N  \\nATOM      2  CA  PRO A   1      11.133   3.873  -6.621  1.00 97.44           C  \\nATOM      3  C   PRO A   1      10.531   3.814  -5.219  1.00 97.44           C  \\nATOM      4  CB  PRO A   1      10.398   2.918  -7.566  1.00 97.44           C  \\nATOM      5  O   PRO A   1      10.781   2.859  -4.477  1.00 97.44           O  \\nATOM      6  CG  PRO A   1      11.477   2.324  -8.422  1.00 97.44           C  \\nATOM      7  CD  PRO A   1      12.719   2.195  -7.590  1.00 97.44           C  \\nATOM      8  N   ILE A   2       9.977   4.902  -4.883  1.00 98.44           N  \\nATOM      9  CA  ILE A   2       9.359   4.961  -3.561  1.00 98.44           C  \\nATOM     10  C   ILE A   2       7.848   5.102  -3.703  1.00 98.44           C  \\nATOM     11  CB  ILE A   2       9.930   6.129  -2.725  1.00 98.44           C  \\nATOM     12  O   ILE A   2       7.367   5.945  -4.465  1.00 98.44           O  \\nATOM     13  CG1 ILE A   2      11.445   5.949  -2.518  1.00 98.44           C  \\nATOM     14  CG2 ILE A   2       9.203   6.234  -1.381  1.00 98.44           C  \\nATOM     15  CD1 ILE A   2      12.133   7.164  -1.906  1.00 98.44           C  \\nATOM     16  N   ALA A   3       7.082   4.238  -3.016  1.00 98.50           N  \\nATOM     17  CA  ALA A   3       5.625   4.344  -2.934  1.00 98.50           C  \\nATOM     18  C   ALA A   3       5.180   4.656  -1.509  1.00 98.50           C  \\nATOM     19  CB  ALA A   3       4.973   3.051  -3.420  1.00 98.50           C  \\nATOM     20  O   ALA A   3       5.668   4.055  -0.551  1.00 98.50           O  \\nATOM     21  N   GLN A   4       4.398   5.738  -1.412  1.00 98.69           N  \\nATOM     22  CA  GLN A   4       3.742   6.055  -0.148  1.00 98.69           C  \\nATOM     23  C   GLN A   4       2.250   5.746  -0.210  1.00 98.69           C  \\nATOM     24  CB  GLN A   4       3.959   7.527   0.216  1.00 98.69           C  \\nATOM     25  O   GLN A   4       1.548   6.223  -1.103  1.00 98.69           O  \\nATOM     26  CG  GLN A   4       5.406   7.871   0.544  1.00 98.69           C  \\nATOM     27  CD  GLN A   4       5.586   9.328   0.933  1.00 98.69           C  \\nATOM     28  NE2 GLN A   4       5.488   9.609   2.227  1.00 98.69           N  \\nATOM     29  OE1 GLN A   4       5.816  10.188   0.076  1.00 98.69           O  \\nATOM     30  N   ILE A   5       1.865   4.934   0.745  1.00 98.25           N  \\nATOM     31  CA  ILE A   5       0.466   4.523   0.794  1.00 98.25           C  \\nATOM     32  C   ILE A   5      -0.150   4.953   2.125  1.00 98.25           C  \\nATOM     33  CB  ILE A   5       0.315   2.998   0.600  1.00 98.25           C  \\nATOM     34  O   ILE A   5       0.389   4.648   3.191  1.00 98.25           O  \\nATOM     35  CG1 ILE A   5       0.938   2.566  -0.732  1.00 98.25           C  \\nATOM     36  CG2 ILE A   5      -1.158   2.588   0.676  1.00 98.25           C  \\nATOM     37  CD1 ILE A   5       0.993   1.058  -0.929  1.00 98.25           C  \\nATOM     38  N   HIS A   6      -1.211   5.703   2.000  1.00 97.56           N  \\nATOM     39  CA  HIS A   6      -2.000   6.094   3.162  1.00 97.56           C  \\nATOM     40  C   HIS A   6      -3.273   5.262   3.270  1.00 97.56           C  \\nATOM     41  CB  HIS A   6      -2.350   7.582   3.098  1.00 97.56           C  \\nATOM     42  O   HIS A   6      -4.047   5.180   2.314  1.00 97.56           O  \\nATOM     43  CG  HIS A   6      -1.155   8.484   3.121  1.00 97.56           C  \\nATOM     44  CD2 HIS A   6      -0.473   9.023   4.156  1.00 97.56           C  \\nATOM     45  ND1 HIS A   6      -0.533   8.922   1.973  1.00 97.56           N  \\nATOM     46  CE1 HIS A   6       0.486   9.695   2.303  1.00 97.56           C  \\nATOM     47  NE2 HIS A   6       0.544   9.781   3.619  1.00 97.56           N  \\nATOM     48  N   ILE A   7      -3.441   4.645   4.469  1.00 97.25           N  \\nATOM     49  CA  ILE A   7      -4.621   3.818   4.695  1.00 97.25           C  \\nATOM     50  C   ILE A   7      -5.188   4.094   6.086  1.00 97.25           C  \\nATOM     51  CB  ILE A   7      -4.297   2.316   4.535  1.00 97.25           C  \\nATOM     52  O   ILE A   7      -4.500   4.648   6.945  1.00 97.25           O  \\nATOM     53  CG1 ILE A   7      -3.301   1.867   5.609  1.00 97.25           C  \\nATOM     54  CG2 ILE A   7      -3.758   2.027   3.131  1.00 97.25           C  \\nATOM     55  CD1 ILE A   7      -3.033   0.369   5.617  1.00 97.25           C  \\nATOM     56  N   LEU A   8      -6.461   3.824   6.254  1.00 96.69           N  \\nATOM     57  CA  LEU A   8      -7.016   3.869   7.602  1.00 96.69           C  \\nATOM     58  C   LEU A   8      -6.422   2.768   8.469  1.00 96.69           C  \\nATOM     59  CB  LEU A   8      -8.539   3.732   7.555  1.00 96.69           C  \\nATOM     60  O   LEU A   8      -6.098   1.687   7.977  1.00 96.69           O  \\nATOM     61  CG  LEU A   8      -9.312   4.918   6.969  1.00 96.69           C  \\nATOM     62  CD1 LEU A   8     -10.789   4.566   6.820  1.00 96.69           C  \\nATOM     63  CD2 LEU A   8      -9.133   6.152   7.844  1.00 96.69           C  \\nATOM     64  N   GLU A   9      -6.328   3.021   9.742  1.00 96.56           N  \\nATOM     65  CA  GLU A   9      -5.855   2.002  10.672  1.00 96.56           C  \\nATOM     66  C   GLU A   9      -6.832   0.831  10.750  1.00 96.56           C  \\nATOM     67  CB  GLU A   9      -5.641   2.600  12.062  1.00 96.56           C  \\nATOM     68  O   GLU A   9      -7.984   0.946  10.320  1.00 96.56           O  \\nATOM     69  CG  GLU A   9      -6.926   3.047  12.742  1.00 96.56           C  \\nATOM     70  CD  GLU A   9      -6.691   3.670  14.109  1.00 96.56           C  \\nATOM     71  OE1 GLU A   9      -7.680   3.945  14.828  1.00 96.56           O  \\nATOM     72  OE2 GLU A   9      -5.512   3.887  14.469  1.00 96.56           O  \\nATOM     73  N   GLY A  10      -6.344  -0.346  11.180  1.00 96.44           N  \\nATOM     74  CA  GLY A  10      -7.242  -1.462  11.430  1.00 96.44           C  \\nATOM     75  C   GLY A  10      -6.914  -2.688  10.594  1.00 96.44           C  \\nATOM     76  O   GLY A  10      -7.496  -3.756  10.797  1.00 96.44           O  \\nATOM     77  N   ARG A  11      -5.895  -2.496   9.734  1.00 97.75           N  \\nATOM     78  CA  ARG A  11      -5.488  -3.676   8.977  1.00 97.75           C  \\nATOM     79  C   ARG A  11      -4.504  -4.523   9.773  1.00 97.75           C  \\nATOM     80  CB  ARG A  11      -4.867  -3.268   7.637  1.00 97.75           C  \\nATOM     81  O   ARG A  11      -3.725  -4.000  10.570  1.00 97.75           O  \\nATOM     82  CG  ARG A  11      -5.758  -2.367   6.793  1.00 97.75           C  \\nATOM     83  CD  ARG A  11      -7.191  -2.879   6.742  1.00 97.75           C  \\nATOM     84  NE  ARG A  11      -8.055  -1.989   5.973  1.00 97.75           N  \\nATOM     85  NH1 ARG A  11      -9.938  -3.312   6.164  1.00 97.75           N  \\nATOM     86  NH2 ARG A  11     -10.031  -1.338   5.000  1.00 97.75           N  \\nATOM     87  CZ  ARG A  11      -9.336  -2.215   5.715  1.00 97.75           C  \\nATOM     88  N   SER A  12      -4.594  -5.855   9.523  1.00 98.38           N  \\nATOM     89  CA  SER A  12      -3.670  -6.754  10.203  1.00 98.38           C  \\nATOM     90  C   SER A  12      -2.256  -6.617   9.656  1.00 98.38           C  \\nATOM     91  CB  SER A  12      -4.137  -8.203  10.070  1.00 98.38           C  \\nATOM     92  O   SER A  12      -2.062  -6.109   8.547  1.00 98.38           O  \\nATOM     93  OG  SER A  12      -3.998  -8.656   8.734  1.00 98.38           O  \\nATOM     94  N   ASP A  13      -1.265  -7.109  10.383  1.00 98.31           N  \\nATOM     95  CA  ASP A  13       0.116  -7.117   9.906  1.00 98.31           C  \\nATOM     96  C   ASP A  13       0.250  -7.930   8.625  1.00 98.31           C  \\nATOM     97  CB  ASP A  13       1.050  -7.676  10.984  1.00 98.31           C  \\nATOM     98  O   ASP A  13       1.018  -7.566   7.730  1.00 98.31           O  \\nATOM     99  CG  ASP A  13       1.268  -6.715  12.141  1.00 98.31           C  \\nATOM    100  OD1 ASP A  13       0.848  -5.539  12.039  1.00 98.31           O  \\nATOM    101  OD2 ASP A  13       1.868  -7.133  13.156  1.00 98.31           O  \\nATOM    102  N   GLU A  14      -0.515  -9.023   8.547  1.00 98.62           N  \\nATOM    103  CA  GLU A  14      -0.485  -9.867   7.355  1.00 98.62           C  \\nATOM    104  C   GLU A  14      -0.959  -9.094   6.125  1.00 98.62           C  \\nATOM    105  CB  GLU A  14      -1.343 -11.117   7.555  1.00 98.62           C  \\nATOM    106  O   GLU A  14      -0.361  -9.195   5.051  1.00 98.62           O  \\nATOM    107  CG  GLU A  14      -0.779 -12.094   8.578  1.00 98.62           C  \\nATOM    108  CD  GLU A  14      -1.028 -11.664  10.016  1.00 98.62           C  \\nATOM    109  OE1 GLU A  14      -0.314 -12.141  10.930  1.00 98.62           O  \\nATOM    110  OE2 GLU A  14      -1.946 -10.836  10.234  1.00 98.62           O  \\nATOM    111  N   GLN A  15      -1.993  -8.367   6.250  1.00 98.69           N  \\nATOM    112  CA  GLN A  15      -2.500  -7.570   5.137  1.00 98.69           C  \\nATOM    113  C   GLN A  15      -1.490  -6.504   4.723  1.00 98.69           C  \\nATOM    114  CB  GLN A  15      -3.830  -6.914   5.512  1.00 98.69           C  \\nATOM    115  O   GLN A  15      -1.273  -6.281   3.529  1.00 98.69           O  \\nATOM    116  CG  GLN A  15      -4.996  -7.895   5.602  1.00 98.69           C  \\nATOM    117  CD  GLN A  15      -6.277  -7.238   6.078  1.00 98.69           C  \\nATOM    118  NE2 GLN A  15      -7.293  -7.230   5.227  1.00 98.69           N  \\nATOM    119  OE1 GLN A  15      -6.352  -6.742   7.207  1.00 98.69           O  \\nATOM    120  N   LYS A  16      -0.865  -5.852   5.656  1.00 98.69           N  \\nATOM    121  CA  LYS A  16       0.135  -4.832   5.359  1.00 98.69           C  \\nATOM    122  C   LYS A  16       1.349  -5.438   4.660  1.00 98.69           C  \\nATOM    123  CB  LYS A  16       0.570  -4.113   6.637  1.00 98.69           C  \\nATOM    124  O   LYS A  16       1.880  -4.859   3.711  1.00 98.69           O  \\nATOM    125  CG  LYS A  16      -0.524  -3.273   7.277  1.00 98.69           C  \\nATOM    126  CD  LYS A  16      -0.014  -2.535   8.508  1.00 98.69           C  \\nATOM    127  CE  LYS A  16       0.071  -3.455   9.719  1.00 98.69           C  \\nATOM    128  NZ  LYS A  16       0.513  -2.723  10.945  1.00 98.69           N  \\nATOM    129  N   GLU A  17       1.703  -6.672   5.086  1.00 98.69           N  \\nATOM    130  CA  GLU A  17       2.797  -7.379   4.430  1.00 98.69           C  \\nATOM    131  C   GLU A  17       2.455  -7.699   2.977  1.00 98.69           C  \\nATOM    132  CB  GLU A  17       3.135  -8.672   5.184  1.00 98.69           C  \\nATOM    133  O   GLU A  17       3.289  -7.523   2.086  1.00 98.69           O  \\nATOM    134  CG  GLU A  17       4.355  -9.398   4.645  1.00 98.69           C  \\nATOM    135  CD  GLU A  17       4.711 -10.648   5.434  1.00 98.69           C  \\nATOM    136  OE1 GLU A  17       5.660 -11.367   5.047  1.00 98.69           O  \\nATOM    137  OE2 GLU A  17       4.031 -10.906   6.453  1.00 98.69           O  \\nATOM    138  N   THR A  18       1.219  -8.195   2.854  1.00 98.75           N  \\nATOM    139  CA  THR A  18       0.771  -8.531   1.506  1.00 98.75           C  \\nATOM    140  C   THR A  18       0.757  -7.293   0.617  1.00 98.75           C  \\nATOM    141  CB  THR A  18      -0.630  -9.172   1.524  1.00 98.75           C  \\nATOM    142  O   THR A  18       1.213  -7.336  -0.527  1.00 98.75           O  \\nATOM    143  CG2 THR A  18      -1.115  -9.477   0.111  1.00 98.75           C  \\nATOM    144  OG1 THR A  18      -0.584 -10.391   2.275  1.00 98.75           O  \\nATOM    145  N   LEU A  19       0.256  -6.176   1.128  1.00 98.69           N  \\nATOM    146  CA  LEU A  19       0.223  -4.922   0.384  1.00 98.69           C  \\nATOM    147  C   LEU A  19       1.629  -4.496  -0.026  1.00 98.69           C  \\nATOM    148  CB  LEU A  19      -0.433  -3.820   1.219  1.00 98.69           C  \\nATOM    149  O   LEU A  19       1.867  -4.168  -1.190  1.00 98.69           O  \\nATOM    150  CG  LEU A  19      -0.503  -2.434   0.578  1.00 98.69           C  \\nATOM    151  CD1 LEU A  19      -1.261  -2.500  -0.744  1.00 98.69           C  \\nATOM    152  CD2 LEU A  19      -1.159  -1.438   1.527  1.00 98.69           C  \\nATOM    153  N   ILE A  20       2.590  -4.512   0.885  1.00 98.75           N  \\nATOM    154  CA  ILE A  20       3.965  -4.105   0.617  1.00 98.75           C  \\nATOM    155  C   ILE A  20       4.559  -4.984  -0.479  1.00 98.75           C  \\nATOM    156  CB  ILE A  20       4.836  -4.176   1.893  1.00 98.75           C  \\nATOM    157  O   ILE A  20       5.191  -4.484  -1.412  1.00 98.75           O  \\nATOM    158  CG1 ILE A  20       4.449  -3.055   2.865  1.00 98.75           C  \\nATOM    159  CG2 ILE A  20       6.324  -4.102   1.536  1.00 98.75           C  \\nATOM    160  CD1 ILE A  20       5.043  -3.211   4.258  1.00 98.75           C  \\nATOM    161  N   ARG A  21       4.301  -6.289  -0.431  1.00 98.75           N  \\nATOM    162  CA  ARG A  21       4.832  -7.230  -1.412  1.00 98.75           C  \\nATOM    163  C   ARG A  21       4.246  -6.969  -2.795  1.00 98.75           C  \\nATOM    164  CB  ARG A  21       4.543  -8.672  -0.985  1.00 98.75           C  \\nATOM    165  O   ARG A  21       4.984  -6.863  -3.777  1.00 98.75           O  \\nATOM    166  CG  ARG A  21       5.090  -9.719  -1.942  1.00 98.75           C  \\nATOM    167  CD  ARG A  21       4.812 -11.133  -1.452  1.00 98.75           C  \\nATOM    168  NE  ARG A  21       3.387 -11.344  -1.211  1.00 98.75           N  \\nATOM    169  NH1 ARG A  21       2.820 -11.508  -3.445  1.00 98.75           N  \\nATOM    170  NH2 ARG A  21       1.205 -11.703  -1.831  1.00 98.75           N  \\nATOM    171  CZ  ARG A  21       2.475 -11.516  -2.162  1.00 98.75           C  \\nATOM    172  N   GLU A  22       3.027  -6.801  -2.795  1.00 98.75           N  \\nATOM    173  CA  GLU A  22       2.355  -6.680  -4.086  1.00 98.75           C  \\nATOM    174  C   GLU A  22       2.703  -5.355  -4.762  1.00 98.75           C  \\nATOM    175  CB  GLU A  22       0.839  -6.801  -3.918  1.00 98.75           C  \\nATOM    176  O   GLU A  22       2.947  -5.316  -5.973  1.00 98.75           O  \\nATOM    177  CG  GLU A  22       0.375  -8.195  -3.521  1.00 98.75           C  \\nATOM    178  CD  GLU A  22       0.574  -9.227  -4.617  1.00 98.75           C  \\nATOM    179  OE1 GLU A  22       0.891 -10.398  -4.301  1.00 98.75           O  \\nATOM    180  OE2 GLU A  22       0.413  -8.867  -5.805  1.00 98.75           O  \\nATOM    181  N   VAL A  23       2.717  -4.289  -4.070  1.00 98.69           N  \\nATOM    182  CA  VAL A  23       3.074  -2.984  -4.617  1.00 98.69           C  \\nATOM    183  C   VAL A  23       4.523  -3.002  -5.094  1.00 98.69           C  \\nATOM    184  CB  VAL A  23       2.869  -1.858  -3.578  1.00 98.69           C  \\nATOM    185  O   VAL A  23       4.832  -2.518  -6.184  1.00 98.69           O  \\nATOM    186  CG1 VAL A  23       3.475  -0.547  -4.074  1.00 98.69           C  \\nATOM    187  CG2 VAL A  23       1.384  -1.683  -3.270  1.00 98.69           C  \\nATOM    188  N   SER A  24       5.434  -3.537  -4.266  1.00 98.81           N  \\nATOM    189  CA  SER A  24       6.840  -3.631  -4.645  1.00 98.81           C  \\nATOM    190  C   SER A  24       7.008  -4.379  -5.961  1.00 98.81           C  \\nATOM    191  CB  SER A  24       7.645  -4.324  -3.545  1.00 98.81           C  \\nATOM    192  O   SER A  24       7.723  -3.922  -6.855  1.00 98.81           O  \\nATOM    193  OG  SER A  24       7.621  -3.566  -2.348  1.00 98.81           O  \\nATOM    194  N   GLU A  25       6.305  -5.551  -6.121  1.00 98.81           N  \\nATOM    195  CA  GLU A  25       6.395  -6.371  -7.328  1.00 98.81           C  \\nATOM    196  C   GLU A  25       5.824  -5.633  -8.539  1.00 98.81           C  \\nATOM    197  CB  GLU A  25       5.660  -7.699  -7.129  1.00 98.81           C  \\nATOM    198  O   GLU A  25       6.387  -5.703  -9.633  1.00 98.81           O  \\nATOM    199  CG  GLU A  25       6.387  -8.672  -6.207  1.00 98.81           C  \\nATOM    200  CD  GLU A  25       5.609  -9.953  -5.949  1.00 98.81           C  \\nATOM    201  OE1 GLU A  25       6.148 -10.867  -5.289  1.00 98.81           O  \\nATOM    202  OE2 GLU A  25       4.449 -10.039  -6.414  1.00 98.81           O  \\nATOM    203  N   ALA A  26       4.723  -4.941  -8.305  1.00 98.75           N  \\nATOM    204  CA  ALA A  26       4.105  -4.184  -9.391  1.00 98.75           C  \\nATOM    205  C   ALA A  26       5.047  -3.094  -9.906  1.00 98.75           C  \\nATOM    206  CB  ALA A  26       2.785  -3.570  -8.938  1.00 98.75           C  \\nATOM    207  O   ALA A  26       5.207  -2.922 -11.117  1.00 98.75           O  \\nATOM    208  N   ILE A  27       5.641  -2.383  -9.039  1.00 98.75           N  \\nATOM    209  CA  ILE A  27       6.551  -1.302  -9.398  1.00 98.75           C  \\nATOM    210  C   ILE A  27       7.773  -1.873 -10.117  1.00 98.75           C  \\nATOM    211  CB  ILE A  27       6.984  -0.488  -8.164  1.00 98.75           C  \\nATOM    212  O   ILE A  27       8.180  -1.363 -11.156  1.00 98.75           O  \\nATOM    213  CG1 ILE A  27       5.816   0.358  -7.641  1.00 98.75           C  \\nATOM    214  CG2 ILE A  27       8.195   0.392  -8.492  1.00 98.75           C  \\nATOM    215  CD1 ILE A  27       6.102   1.062  -6.320  1.00 98.75           C  \\nATOM    216  N   SER A  28       8.352  -2.893  -9.469  1.00 98.75           N  \\nATOM    217  CA  SER A  28       9.516  -3.520 -10.078  1.00 98.75           C  \\nATOM    218  C   SER A  28       9.219  -3.975 -11.500  1.00 98.75           C  \\nATOM    219  CB  SER A  28       9.984  -4.711  -9.242  1.00 98.75           C  \\nATOM    220  O   SER A  28       9.992  -3.695 -12.422  1.00 98.75           O  \\nATOM    221  OG  SER A  28      11.094  -5.348  -9.852  1.00 98.75           O  \\nATOM    222  N   ARG A  29       8.086  -4.641 -11.742  1.00 98.56           N  \\nATOM    223  CA  ARG A  29       7.703  -5.160 -13.055  1.00 98.56           C  \\nATOM    224  C   ARG A  29       7.422  -4.027 -14.031  1.00 98.56           C  \\nATOM    225  CB  ARG A  29       6.473  -6.066 -12.938  1.00 98.56           C  \\nATOM    226  O   ARG A  29       7.844  -4.082 -15.188  1.00 98.56           O  \\nATOM    227  CG  ARG A  29       6.781  -7.465 -12.422  1.00 98.56           C  \\nATOM    228  CD  ARG A  29       5.586  -8.398 -12.570  1.00 98.56           C  \\nATOM    229  NE  ARG A  29       4.449  -7.941 -11.773  1.00 98.56           N  \\nATOM    230  NH1 ARG A  29       2.863  -8.469 -13.367  1.00 98.56           N  \\nATOM    231  NH2 ARG A  29       2.225  -7.543 -11.375  1.00 98.56           N  \\nATOM    232  CZ  ARG A  29       3.182  -7.984 -12.172  1.00 98.56           C  \\nATOM    233  N   SER A  30       6.828  -3.012 -13.633  1.00 98.62           N  \\nATOM    234  CA  SER A  30       6.352  -1.939 -14.500  1.00 98.62           C  \\nATOM    235  C   SER A  30       7.500  -1.038 -14.945  1.00 98.62           C  \\nATOM    236  CB  SER A  30       5.285  -1.106 -13.789  1.00 98.62           C  \\nATOM    237  O   SER A  30       7.500  -0.537 -16.078  1.00 98.62           O  \\nATOM    238  OG  SER A  30       4.137  -1.890 -13.516  1.00 98.62           O  \\nATOM    239  N   LEU A  31       8.430  -0.912 -14.070  1.00 98.38           N  \\nATOM    240  CA  LEU A  31       9.484   0.060 -14.359  1.00 98.38           C  \\nATOM    241  C   LEU A  31      10.812  -0.639 -14.617  1.00 98.38           C  \\nATOM    242  CB  LEU A  31       9.633   1.045 -13.195  1.00 98.38           C  \\nATOM    243  O   LEU A  31      11.828   0.019 -14.852  1.00 98.38           O  \\nATOM    244  CG  LEU A  31       8.406   1.905 -12.875  1.00 98.38           C  \\nATOM    245  CD1 LEU A  31       8.703   2.834 -11.703  1.00 98.38           C  \\nATOM    246  CD2 LEU A  31       7.980   2.703 -14.102  1.00 98.38           C  \\nATOM    247  N   ASP A  32      10.781  -1.960 -14.617  1.00 98.06           N  \\nATOM    248  CA  ASP A  32      12.000  -2.736 -14.789  1.00 98.06           C  \\nATOM    249  C   ASP A  32      13.078  -2.293 -13.805  1.00 98.06           C  \\nATOM    250  CB  ASP A  32      12.516  -2.611 -16.234  1.00 98.06           C  \\nATOM    251  O   ASP A  32      14.242  -2.119 -14.188  1.00 98.06           O  \\nATOM    252  CG  ASP A  32      13.539  -3.676 -16.594  1.00 98.06           C  \\nATOM    253  OD1 ASP A  32      13.500  -4.777 -16.000  1.00 98.06           O  \\nATOM    254  OD2 ASP A  32      14.391  -3.408 -17.469  1.00 98.06           O  \\nATOM    255  N   ALA A  33      12.750  -2.047 -12.562  1.00 98.44           N  \\nATOM    256  CA  ALA A  33      13.664  -1.729 -11.477  1.00 98.44           C  \\nATOM    257  C   ALA A  33      13.883  -2.941 -10.570  1.00 98.44           C  \\nATOM    258  CB  ALA A  33      13.141  -0.552 -10.656  1.00 98.44           C  \\nATOM    259  O   ALA A  33      13.000  -3.785 -10.430  1.00 98.44           O  \\nATOM    260  N   PRO A  34      15.188  -3.096 -10.086  1.00 98.56           N  \\nATOM    261  CA  PRO A  34      15.398  -4.188  -9.133  1.00 98.56           C  \\nATOM    262  C   PRO A  34      14.477  -4.094  -7.918  1.00 98.56           C  \\nATOM    263  CB  PRO A  34      16.859  -4.016  -8.719  1.00 98.56           C  \\nATOM    264  O   PRO A  34      14.297  -3.010  -7.355  1.00 98.56           O  \\nATOM    265  CG  PRO A  34      17.453  -3.148  -9.781  1.00 98.56           C  \\nATOM    266  CD  PRO A  34      16.375  -2.273 -10.344  1.00 98.56           C  \\nATOM    267  N   LEU A  35      13.930  -5.195  -7.535  1.00 98.50           N  \\nATOM    268  CA  LEU A  35      13.016  -5.262  -6.402  1.00 98.50           C  \\nATOM    269  C   LEU A  35      13.664  -4.699  -5.145  1.00 98.50           C  \\nATOM    270  CB  LEU A  35      12.570  -6.703  -6.160  1.00 98.50           C  \\nATOM    271  O   LEU A  35      13.008  -4.035  -4.340  1.00 98.50           O  \\nATOM    272  CG  LEU A  35      11.414  -6.898  -5.168  1.00 98.50           C  \\nATOM    273  CD1 LEU A  35      10.148  -6.223  -5.688  1.00 98.50           C  \\nATOM    274  CD2 LEU A  35      11.172  -8.383  -4.918  1.00 98.50           C  \\nATOM    275  N   THR A  36      14.898  -4.848  -5.047  1.00 98.44           N  \\nATOM    276  CA  THR A  36      15.648  -4.441  -3.861  1.00 98.44           C  \\nATOM    277  C   THR A  36      15.711  -2.922  -3.750  1.00 98.44           C  \\nATOM    278  CB  THR A  36      17.078  -5.016  -3.883  1.00 98.44           C  \\nATOM    279  O   THR A  36      16.016  -2.383  -2.684  1.00 98.44           O  \\nATOM    280  CG2 THR A  36      17.062  -6.539  -3.768  1.00 98.44           C  \\nATOM    281  OG1 THR A  36      17.719  -4.648  -5.109  1.00 98.44           O  \\nATOM    282  N   SER A  37      15.516  -2.256  -4.863  1.00 98.50           N  \\nATOM    283  CA  SER A  37      15.578  -0.797  -4.863  1.00 98.50           C  \\nATOM    284  C   SER A  37      14.227  -0.185  -4.527  1.00 98.50           C  \\nATOM    285  CB  SER A  37      16.062  -0.280  -6.215  1.00 98.50           C  \\nATOM    286  O   SER A  37      14.117   1.029  -4.344  1.00 98.50           O  \\nATOM    287  OG  SER A  37      15.062  -0.445  -7.207  1.00 98.50           O  \\nATOM    288  N   VAL A  38      13.109  -0.936  -4.395  1.00 98.69           N  \\nATOM    289  CA  VAL A  38      11.750  -0.442  -4.180  1.00 98.69           C  \\nATOM    290  C   VAL A  38      11.484  -0.297  -2.686  1.00 98.69           C  \\nATOM    291  CB  VAL A  38      10.703  -1.375  -4.824  1.00 98.69           C  \\nATOM    292  O   VAL A  38      11.734  -1.226  -1.911  1.00 98.69           O  \\nATOM    293  CG1 VAL A  38       9.289  -0.877  -4.531  1.00 98.69           C  \\nATOM    294  CG2 VAL A  38      10.938  -1.481  -6.328  1.00 98.69           C  \\nATOM    295  N   ARG A  39      11.086   0.848  -2.254  1.00 98.75           N  \\nATOM    296  CA  ARG A  39      10.664   1.119  -0.884  1.00 98.75           C  \\nATOM    297  C   ARG A  39       9.172   1.436  -0.824  1.00 98.75           C  \\nATOM    298  CB  ARG A  39      11.469   2.275  -0.290  1.00 98.75           C  \\nATOM    299  O   ARG A  39       8.664   2.223  -1.628  1.00 98.75           O  \\nATOM    300  CG  ARG A  39      12.961   2.004  -0.199  1.00 98.75           C  \\nATOM    301  CD  ARG A  39      13.250   0.674   0.482  1.00 98.75           C  \\nATOM    302  NE  ARG A  39      14.688   0.429   0.596  1.00 98.75           N  \\nATOM    303  NH1 ARG A  39      14.578  -1.757  -0.146  1.00 98.75           N  \\nATOM    304  NH2 ARG A  39      16.594  -0.834   0.436  1.00 98.75           N  \\nATOM    305  CZ  ARG A  39      15.289  -0.720   0.295  1.00 98.75           C  \\nATOM    306  N   VAL A  40       8.430   0.775   0.030  1.00 98.69           N  \\nATOM    307  CA  VAL A  40       7.008   1.022   0.277  1.00 98.69           C  \\nATOM    308  C   VAL A  40       6.805   1.450   1.728  1.00 98.69           C  \\nATOM    309  CB  VAL A  40       6.152  -0.224  -0.038  1.00 98.69           C  \\nATOM    310  O   VAL A  40       7.207   0.741   2.654  1.00 98.69           O  \\nATOM    311  CG1 VAL A  40       4.672   0.058   0.221  1.00 98.69           C  \\nATOM    312  CG2 VAL A  40       6.371  -0.670  -1.482  1.00 98.69           C  \\nATOM    313  N   ILE A  41       6.246   2.580   1.883  1.00 98.69           N  \\nATOM    314  CA  ILE A  41       5.969   3.135   3.205  1.00 98.69           C  \\nATOM    315  C   ILE A  41       4.461   3.227   3.422  1.00 98.69           C  \\nATOM    316  CB  ILE A  41       6.621   4.523   3.383  1.00 98.69           C  \\nATOM    317  O   ILE A  41       3.750   3.852   2.629  1.00 98.69           O  \\nATOM    318  CG1 ILE A  41       8.125   4.445   3.094  1.00 98.69           C  \\nATOM    319  CG2 ILE A  41       6.363   5.062   4.793  1.00 98.69           C  \\nATOM    320  CD1 ILE A  41       8.789   5.805   2.891  1.00 98.69           C  \\nATOM    321  N   ILE A  42       3.992   2.574   4.465  1.00 98.56           N  \\nATOM    322  CA  ILE A  42       2.584   2.645   4.836  1.00 98.56           C  \\nATOM    323  C   ILE A  42       2.406   3.605   6.012  1.00 98.56           C  \\nATOM    324  CB  ILE A  42       2.025   1.249   5.199  1.00 98.56           C  \\nATOM    325  O   ILE A  42       3.072   3.469   7.039  1.00 98.56           O  \\nATOM    326  CG1 ILE A  42       2.115   0.309   3.992  1.00 98.56           C  \\nATOM    327  CG2 ILE A  42       0.582   1.358   5.699  1.00 98.56           C  \\nATOM    328  CD1 ILE A  42       1.700  -1.125   4.289  1.00 98.56           C  \\nATOM    329  N   THR A  43       1.606   4.633   5.766  1.00 98.12           N  \\nATOM    330  CA  THR A  43       1.162   5.531   6.828  1.00 98.12           C  \\nATOM    331  C   THR A  43      -0.300   5.270   7.180  1.00 98.12           C  \\nATOM    332  CB  THR A  43       1.342   7.004   6.426  1.00 98.12           C  \\nATOM    333  O   THR A  43      -1.178   5.367   6.320  1.00 98.12           O  \\nATOM    334  CG2 THR A  43       0.959   7.938   7.570  1.00 98.12           C  \\nATOM    335  OG1 THR A  43       2.713   7.234   6.074  1.00 98.12           O  \\nATOM    336  N   GLU A  44      -0.508   4.961   8.438  1.00 97.69           N  \\nATOM    337  CA  GLU A  44      -1.862   4.688   8.906  1.00 97.69           C  \\nATOM    338  C   GLU A  44      -2.467   5.910   9.594  1.00 97.69           C  \\nATOM    339  CB  GLU A  44      -1.868   3.494   9.867  1.00 97.69           C  \\nATOM    340  O   GLU A  44      -1.787   6.602  10.359  1.00 97.69           O  \\nATOM    341  CG  GLU A  44      -1.434   2.186   9.219  1.00 97.69           C  \\nATOM    342  CD  GLU A  44      -1.372   1.024  10.195  1.00 97.69           C  \\nATOM    343  OE1 GLU A  44      -2.295   0.177  10.195  1.00 97.69           O  \\nATOM    344  OE2 GLU A  44      -0.395   0.962  10.977  1.00 97.69           O  \\nATOM    345  N   MET A  45      -3.809   6.125   9.219  1.00 96.88           N  \\nATOM    346  CA  MET A  45      -4.543   7.238   9.812  1.00 96.88           C  \\nATOM    347  C   MET A  45      -5.684   6.734  10.695  1.00 96.88           C  \\nATOM    348  CB  MET A  45      -5.090   8.164   8.727  1.00 96.88           C  \\nATOM    349  O   MET A  45      -6.469   5.887  10.273  1.00 96.88           O  \\nATOM    350  CG  MET A  45      -4.016   8.812   7.875  1.00 96.88           C  \\nATOM    351  SD  MET A  45      -4.707   9.719   6.434  1.00 96.88           S  \\nATOM    352  CE  MET A  45      -5.238   8.320   5.406  1.00 96.88           C  \\nATOM    353  N   ALA A  46      -5.617   7.273  11.906  1.00 96.88           N  \\nATOM    354  CA  ALA A  46      -6.805   7.047  12.734  1.00 96.88           C  \\nATOM    355  C   ALA A  46      -8.062   7.574  12.047  1.00 96.88           C  \\nATOM    356  CB  ALA A  46      -6.633   7.703  14.102  1.00 96.88           C  \\nATOM    357  O   ALA A  46      -7.992   8.539  11.281  1.00 96.88           O  \\nATOM    358  N   LYS A  47      -9.227   6.984  12.242  1.00 95.06           N  \\nATOM    359  CA  LYS A  47     -10.477   7.359  11.586  1.00 95.06           C  \\nATOM    360  C   LYS A  47     -10.867   8.797  11.914  1.00 95.06           C  \\nATOM    361  CB  LYS A  47     -11.602   6.406  11.992  1.00 95.06           C  \\nATOM    362  O   LYS A  47     -11.539   9.461  11.117  1.00 95.06           O  \\nATOM    363  CG  LYS A  47     -11.422   4.980  11.484  1.00 95.06           C  \\nATOM    364  CD  LYS A  47     -12.594   4.094  11.883  1.00 95.06           C  \\nATOM    365  CE  LYS A  47     -12.406   2.662  11.406  1.00 95.06           C  \\nATOM    366  NZ  LYS A  47     -13.547   1.787  11.805  1.00 95.06           N  \\nATOM    367  N   GLY A  48     -10.469   9.328  12.992  1.00 96.38           N  \\nATOM    368  CA  GLY A  48     -10.750  10.703  13.375  1.00 96.38           C  \\nATOM    369  C   GLY A  48      -9.812  11.703  12.727  1.00 96.38           C  \\nATOM    370  O   GLY A  48      -9.992  12.914  12.875  1.00 96.38           O  \\nATOM    371  N   HIS A  49      -8.836  11.297  12.023  1.00 95.50           N  \\nATOM    372  CA  HIS A  49      -7.848  12.164  11.391  1.00 95.50           C  \\nATOM    373  C   HIS A  49      -8.023  12.180   9.875  1.00 95.50           C  \\nATOM    374  CB  HIS A  49      -6.430  11.711  11.750  1.00 95.50           C  \\nATOM    375  O   HIS A  49      -7.215  12.781   9.156  1.00 95.50           O  \\nATOM    376  CG  HIS A  49      -6.129  11.797  13.211  1.00 95.50           C  \\nATOM    377  CD2 HIS A  49      -6.902  12.164  14.258  1.00 95.50           C  \\nATOM    378  ND1 HIS A  49      -4.895  11.484  13.734  1.00 95.50           N  \\nATOM    379  CE1 HIS A  49      -4.922  11.656  15.047  1.00 95.50           C  \\nATOM    380  NE2 HIS A  49      -6.133  12.062  15.391  1.00 95.50           N  \\nATOM    381  N   PHE A  50      -9.062  11.445   9.406  1.00 95.69           N  \\nATOM    382  CA  PHE A  50      -9.258  11.352   7.965  1.00 95.69           C  \\nATOM    383  C   PHE A  50     -10.680  11.742   7.582  1.00 95.69           C  \\nATOM    384  CB  PHE A  50      -8.945   9.938   7.473  1.00 95.69           C  \\nATOM    385  O   PHE A  50     -11.641  11.164   8.094  1.00 95.69           O  \\nATOM    386  CG  PHE A  50      -8.891   9.812   5.973  1.00 95.69           C  \\nATOM    387  CD1 PHE A  50      -9.930   9.211   5.270  1.00 95.69           C  \\nATOM    388  CD2 PHE A  50      -7.797  10.297   5.266  1.00 95.69           C  \\nATOM    389  CE1 PHE A  50      -9.883   9.102   3.885  1.00 95.69           C  \\nATOM    390  CE2 PHE A  50      -7.742  10.180   3.881  1.00 95.69           C  \\nATOM    391  CZ  PHE A  50      -8.781   9.586   3.191  1.00 95.69           C  \\nATOM    392  N   GLY A  51     -10.812  12.773   6.664  1.00 95.06           N  \\nATOM    393  CA  GLY A  51     -12.102  13.227   6.172  1.00 95.06           C  \\nATOM    394  C   GLY A  51     -12.406  12.734   4.766  1.00 95.06           C  \\nATOM    395  O   GLY A  51     -11.516  12.695   3.912  1.00 95.06           O  \\nATOM    396  N   ILE A  52     -13.617  12.242   4.617  1.00 94.56           N  \\nATOM    397  CA  ILE A  52     -14.125  11.883   3.297  1.00 94.56           C  \\nATOM    398  C   ILE A  52     -15.367  12.711   2.982  1.00 94.56           C  \\nATOM    399  CB  ILE A  52     -14.438  10.375   3.203  1.00 94.56           C  \\nATOM    400  O   ILE A  52     -16.391  12.594   3.670  1.00 94.56           O  \\nATOM    401  CG1 ILE A  52     -13.234   9.547   3.650  1.00 94.56           C  \\nATOM    402  CG2 ILE A  52     -14.867  10.000   1.779  1.00 94.56           C  \\nATOM    403  CD1 ILE A  52     -13.547   8.078   3.895  1.00 94.56           C  \\nATOM    404  N   GLY A  53     -15.312  13.586   1.971  1.00 94.88           N  \\nATOM    405  CA  GLY A  53     -16.453  14.406   1.628  1.00 94.88           C  \\nATOM    406  C   GLY A  53     -16.891  15.328   2.752  1.00 94.88           C  \\nATOM    407  O   GLY A  53     -18.078  15.578   2.936  1.00 94.88           O  \\nATOM    408  N   GLY A  54     -16.016  15.820   3.588  1.00 96.00           N  \\nATOM    409  CA  GLY A  54     -16.297  16.766   4.652  1.00 96.00           C  \\nATOM    410  C   GLY A  54     -16.672  16.094   5.961  1.00 96.00           C  \\nATOM    411  O   GLY A  54     -17.031  16.781   6.926  1.00 96.00           O  \\nATOM    412  N   GLU A  55     -16.703  14.750   6.070  1.00 97.12           N  \\nATOM    413  CA  GLU A  55     -17.047  14.000   7.277  1.00 97.12           C  \\nATOM    414  C   GLU A  55     -15.891  13.102   7.723  1.00 97.12           C  \\nATOM    415  CB  GLU A  55     -18.312  13.164   7.051  1.00 97.12           C  \\nATOM    416  O   GLU A  55     -15.195  12.523   6.887  1.00 97.12           O  \\nATOM    417  CG  GLU A  55     -19.547  13.992   6.777  1.00 97.12           C  \\nATOM    418  CD  GLU A  55     -20.828  13.172   6.777  1.00 97.12           C  \\nATOM    419  OE1 GLU A  55     -21.938  13.766   6.672  1.00 97.12           O  \\nATOM    420  OE2 GLU A  55     -20.734  11.930   6.883  1.00 97.12           O  \\nATOM    421  N   LEU A  56     -15.758  13.086   9.016  1.00 95.75           N  \\nATOM    422  CA  LEU A  56     -14.734  12.188   9.547  1.00 95.75           C  \\nATOM    423  C   LEU A  56     -14.984  10.750   9.109  1.00 95.75           C  \\nATOM    424  CB  LEU A  56     -14.695  12.273  11.078  1.00 95.75           C  \\nATOM    425  O   LEU A  56     -16.141  10.305   9.062  1.00 95.75           O  \\nATOM    426  CG  LEU A  56     -14.070  13.539  11.672  1.00 95.75           C  \\nATOM    427  CD1 LEU A  56     -14.297  13.578  13.180  1.00 95.75           C  \\nATOM    428  CD2 LEU A  56     -12.586  13.617  11.344  1.00 95.75           C  \\nATOM    429  N   ALA A  57     -13.875  10.086   8.820  1.00 93.81           N  \\nATOM    430  CA  ALA A  57     -14.008   8.672   8.477  1.00 93.81           C  \\nATOM    431  C   ALA A  57     -14.570   7.867   9.641  1.00 93.81           C  \\nATOM    432  CB  ALA A  57     -12.664   8.102   8.031  1.00 93.81           C  \\nATOM    433  O   ALA A  57     -15.102   6.773   9.453  1.00 93.81           O  \\nATOM    434  N   SER A  58     -14.469   8.398  10.766  1.00 93.38           N  \\nATOM    435  CA  SER A  58     -14.984   7.746  11.969  1.00 93.38           C  \\nATOM    436  C   SER A  58     -16.500   7.840  12.039  1.00 93.38           C  \\nATOM    437  CB  SER A  58     -14.367   8.367  13.219  1.00 93.38           C  \\nATOM    438  O   SER A  58     -17.141   7.090  12.781  1.00 93.38           O  \\nATOM    439  OG  SER A  58     -14.633   9.758  13.281  1.00 93.38           O  \\nATOM    440  N   LYS A  59     -17.078   8.812  11.250  1.00 84.12           N  \\nATOM    441  CA  LYS A  59     -18.516   8.977  11.305  1.00 84.12           C  \\nATOM    442  C   LYS A  59     -19.219   8.148  10.219  1.00 84.12           C  \\nATOM    443  CB  LYS A  59     -18.906  10.453  11.156  1.00 84.12           C  \\nATOM    444  O   LYS A  59     -20.281   7.590  10.453  1.00 84.12           O  \\nATOM    445  CG  LYS A  59     -18.609  11.297  12.383  1.00 84.12           C  \\nATOM    446  CD  LYS A  59     -19.172  12.703  12.250  1.00 84.12           C  \\nATOM    447  CE  LYS A  59     -18.875  13.547  13.484  1.00 84.12           C  \\nATOM    448  NZ  LYS A  59     -19.453  14.922  13.367  1.00 84.12           N  \\nTER     449      LYS A  59                                                      \\nENDMDL                                                                          \\nEND                                                                             \\n\",\"pdb\");\n",
              "\tviewer_1732216876710633.setStyle({\"cartoon\": {\"colorscheme\": {\"prop\": \"b\", \"gradient\": \"roygb\", \"min\": 50, \"max\": 90}}});\n",
              "\tviewer_1732216876710633.zoomTo();\n",
              "viewer_1732216876710633.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": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "11l8k--10q0C",
        "cellView": "form",
        "outputId": "0a442c3d-9b27-4d70-ced6-0286d5a1831c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        }
      },
      "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 = \"\"\n",
        "pae_file = os.path.join(jobname,f\"{jobname}{jobname_prefix}_pae.png\")\n",
        "if os.path.isfile(pae_file):\n",
        "    pae = image_to_data_url(pae_file)\n",
        "cov = image_to_data_url(os.path.join(jobname,f\"{jobname}{jobname_prefix}_coverage.png\"))\n",
        "plddt = image_to_data_url(os.path.join(jobname,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",
        "  { '<!--' if pae == '' else '' }<img src=\"{pae}\" class=\"full\" />{ '-->' if pae == '' else '' }\n",
        "  <img src=\"{cov}\" class=\"half\" />\n",
        "  <img src=\"{plddt}\" class=\"half\" />\n",
        "</div>\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": "3ebfa7fc-b620-4f6e-a26b-d86cd0a2e93e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        }
      },
      "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",
        "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": "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_be8dd964-0bf6-4237-889a-90c3fc959693\", \"test_a5e17.result.zip\", 1370307)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UGUBLzB3C6WN",
        "pycharm": {
          "name": "#%% md\n"
        }
      },
      "source": [
        "# Instructions <a name=\"Instructions\"></a>\n",
        "For detailed instructions, tips and tricks, see recently published paper at [Nature Protocols](https://www.nature.com/articles/s41596-024-01060-5)\n",
        "\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",
        "**PDB100** <a name=\"pdb100\"></a>\n",
        "\n",
        "As of 23/06/08, we have transitioned from using the PDB70 to a 100% clustered PDB, the PDB100. The construction methodology of PDB100 differs from that of PDB70.\n",
        "\n",
        "The PDB70 was constructed by running each PDB70 representative sequence through [HHblits](https://github.com/soedinglab/hh-suite) against the [Uniclust30](https://uniclust.mmseqs.com/). On the other hand, the PDB100 is built by searching each PDB100 representative structure with [Foldseek](https://github.com/steineggerlab/foldseek) against the [AlphaFold Database](https://alphafold.ebi.ac.uk).\n",
        "\n",
        "To maintain compatibility with older Notebook versions and local installations, the generated files and API responses will continue to be named \"PDB70\", even though we're now using the PDB100.\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 [paper](https://www.nature.com/articles/s41592-022-01488-1).\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"
      ]
    }
  ]
}