CHEM101.6_Project2_Students.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mdtraj as md\n",
    "import os\n",
    "import sys\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import colors\n",
    "import math\n",
    "from numpy import log2, zeros, mean, var, sum, loadtxt, arange, \\\n",
    "                  array, cumsum, dot, transpose, diagonal, floor\n",
    "from numpy.linalg import inv, lstsq"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://figshare.com/articles/dataset/Microsecond_molecular_dynamics_simulation_of_kinase_domain_of_the_human_tyrosine_kinase_ABL1/4496795/1\n",
    "\n",
    "This is a one microsecond trajectory of the catalytic domain of the human tyrosine protein kinase ABL1 (UNIPROT:ABL1_HUMAN, residues 242-493). The simulation was generated on Folding@home using OpenMM 6.3.1 with the AMBER99SB-ILDN forcefield, TIP3P water, and neutralizing salt. A Langevin integrator with 2 fs timestep, 300 K temperature, and 1/ps collision rate was used. PME with a nonbonded cutoff of 1.0 nm was used with default tolerance of 5.0e-4. A long-range isotropic dispersion correction was used to correct for the truncation of Lennard-Jones interactions at 1.0 nm. A molecular-scaling Monte Carlo barostat was applied using a 1 atm reference pressure, with MC moves attempted every 50 steps. Coordinates were saved every 250ps, and waters and ions stripped. The trajectory file contains 4000 snapshots. Initial models were generated with Ensembler (see References) using the ABL1 structure from chain B of PDB ID: 2GQG as a template.\n",
    "\n",
    "https://www.rcsb.org/structure/2GQG\n",
    "\n",
    "Trajetories and pdb can be downloaded here:\n",
    "https://www.dropbox.com/s/qymy39ak2apqd75/ABL1.zip?dl=0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "outdir: /Users/paulrobustelli/Desktop/CHEM.101.6/Lab2_ProteinMD/ABL1/output\n",
      "pdb: /Users/paulrobustelli/Desktop/CHEM.101.6/Lab2_ProteinMD/ABL1/ABL1.pdb\n",
      "trjaectory: /Users/paulrobustelli/Desktop/CHEM.101.6/Lab2_ProteinMD/ABL1/ABL1.dcd\n"
     ]
    }
   ],
   "source": [
    "pdb='/Users/paulrobustelli/Desktop/CHEM.101.6/Lab2_ProteinMD/ABL1/ABL1.pdb'\n",
    "trajectory='/Users/paulrobustelli/Desktop/CHEM.101.6/Lab2_ProteinMD/ABL1/ABL1.dcd'\n",
    "outdir='/Users/paulrobustelli/Desktop/CHEM.101.6/Lab2_ProteinMD/ABL1/output'\n",
    "if not os.path.exists('outdir'):\n",
    "    os.makedirs('outdir')\n",
    "    \n",
    "print(\"outdir:\",outdir)\n",
    "print(\"pdb:\",pdb)\n",
    "print(\"trjaectory:\",trajectory)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "trj = md.load(trajectory, top=pdb,stride=1)\n",
    "trj.center_coordinates()\n",
    "top = trj.topology\n",
    "first_frame = 0\n",
    "last_frame = trj.n_frames\n",
    "n_frames=trj.n_frames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "** SYSTEM INFO **\n",
      "\n",
      "Number of atoms: 4062\n",
      "\n",
      "Number of residues: 252\n",
      "\n",
      "Number of frames: 4000\n",
      "\n",
      "Starting frame: 0\n",
      "\n",
      "Last frame: 4000\n",
      "\n",
      "sequence:  [ILE242, THR243, MET244, LYS245, HIS246, LYS247, LEU248, GLY249, GLY250, GLY251, GLN252, TYR253, GLY254, GLU255, VAL256, TYR257, GLU258, GLY259, VAL260, TRP261, LYS262, LYS263, TYR264, SER265, LEU266, THR267, VAL268, ALA269, VAL270, LYS271, THR272, LEU273, LYS274, GLU275, ASP276, THR277, MET278, GLU279, VAL280, GLU281, GLU282, PHE283, LEU284, LYS285, GLU286, ALA287, ALA288, VAL289, MET290, LYS291, GLU292, ILE293, LYS294, HIS295, PRO296, ASN297, LEU298, VAL299, GLN300, LEU301, LEU302, GLY303, VAL304, CYS305, THR306, ARG307, GLU308, PRO309, PRO310, PHE311, TYR312, ILE313, ILE314, THR315, GLU316, PHE317, MET318, THR319, TYR320, GLY321, ASN322, LEU323, LEU324, ASP325, TYR326, LEU327, ARG328, GLU329, CYS330, ASN331, ARG332, GLN333, GLU334, VAL335, ASN336, ALA337, VAL338, VAL339, LEU340, LEU341, TYR342, MET343, ALA344, THR345, GLN346, ILE347, SER348, SER349, ALA350, MET351, GLU352, TYR353, LEU354, GLU355, LYS356, LYS357, ASN358, PHE359, ILE360, HIS361, ARG362, ASP363, LEU364, ALA365, ALA366, ARG367, ASN368, CYS369, LEU370, VAL371, GLY372, GLU373, ASN374, HIS375, LEU376, VAL377, LYS378, VAL379, ALA380, ASP381, PHE382, GLY383, LEU384, SER385, ARG386, LEU387, MET388, THR389, GLY390, ASP391, THR392, TYR393, THR394, ALA395, HIS396, ALA397, GLY398, ALA399, LYS400, PHE401, PRO402, ILE403, LYS404, TRP405, THR406, ALA407, PRO408, GLU409, SER410, LEU411, ALA412, TYR413, ASN414, LYS415, PHE416, SER417, ILE418, LYS419, SER420, ASP421, VAL422, TRP423, ALA424, PHE425, GLY426, VAL427, LEU428, LEU429, TRP430, GLU431, ILE432, ALA433, THR434, TYR435, GLY436, MET437, SER438, PRO439, TYR440, PRO441, GLY442, ILE443, ASP444, LEU445, SER446, GLN447, VAL448, TYR449, GLU450, LEU451, LEU452, GLU453, LYS454, ASP455, TYR456, ARG457, MET458, GLU459, ARG460, PRO461, GLU462, GLY463, CYS464, PRO465, GLU466, LYS467, VAL468, TYR469, GLU470, LEU471, MET472, ARG473, ALA474, CYS475, TRP476, GLN477, TRP478, ASN479, PRO480, SER481, ASP482, ARG483, PRO484, SER485, PHE486, ALA487, GLU488, ILE489, HIS490, GLN491, ALA492, PHE493]\n",
      "\n",
      "residue names:  ['ILE', 'THR', 'MET', 'LYS', 'HIS', 'LYS', 'LEU', 'GLY', 'GLY', 'GLY', 'GLN', 'TYR', 'GLY', 'GLU', 'VAL', 'TYR', 'GLU', 'GLY', 'VAL', 'TRP', 'LYS', 'LYS', 'TYR', 'SER', 'LEU', 'THR', 'VAL', 'ALA', 'VAL', 'LYS', 'THR', 'LEU', 'LYS', 'GLU', 'ASP', 'THR', 'MET', 'GLU', 'VAL', 'GLU', 'GLU', 'PHE', 'LEU', 'LYS', 'GLU', 'ALA', 'ALA', 'VAL', 'MET', 'LYS', 'GLU', 'ILE', 'LYS', 'HIS', 'PRO', 'ASN', 'LEU', 'VAL', 'GLN', 'LEU', 'LEU', 'GLY', 'VAL', 'CYS', 'THR', 'ARG', 'GLU', 'PRO', 'PRO', 'PHE', 'TYR', 'ILE', 'ILE', 'THR', 'GLU', 'PHE', 'MET', 'THR', 'TYR', 'GLY', 'ASN', 'LEU', 'LEU', 'ASP', 'TYR', 'LEU', 'ARG', 'GLU', 'CYS', 'ASN', 'ARG', 'GLN', 'GLU', 'VAL', 'ASN', 'ALA', 'VAL', 'VAL', 'LEU', 'LEU', 'TYR', 'MET', 'ALA', 'THR', 'GLN', 'ILE', 'SER', 'SER', 'ALA', 'MET', 'GLU', 'TYR', 'LEU', 'GLU', 'LYS', 'LYS', 'ASN', 'PHE', 'ILE', 'HIS', 'ARG', 'ASP', 'LEU', 'ALA', 'ALA', 'ARG', 'ASN', 'CYS', 'LEU', 'VAL', 'GLY', 'GLU', 'ASN', 'HIS', 'LEU', 'VAL', 'LYS', 'VAL', 'ALA', 'ASP', 'PHE', 'GLY', 'LEU', 'SER', 'ARG', 'LEU', 'MET', 'THR', 'GLY', 'ASP', 'THR', 'TYR', 'THR', 'ALA', 'HIS', 'ALA', 'GLY', 'ALA', 'LYS', 'PHE', 'PRO', 'ILE', 'LYS', 'TRP', 'THR', 'ALA', 'PRO', 'GLU', 'SER', 'LEU', 'ALA', 'TYR', 'ASN', 'LYS', 'PHE', 'SER', 'ILE', 'LYS', 'SER', 'ASP', 'VAL', 'TRP', 'ALA', 'PHE', 'GLY', 'VAL', 'LEU', 'LEU', 'TRP', 'GLU', 'ILE', 'ALA', 'THR', 'TYR', 'GLY', 'MET', 'SER', 'PRO', 'TYR', 'PRO', 'GLY', 'ILE', 'ASP', 'LEU', 'SER', 'GLN', 'VAL', 'TYR', 'GLU', 'LEU', 'LEU', 'GLU', 'LYS', 'ASP', 'TYR', 'ARG', 'MET', 'GLU', 'ARG', 'PRO', 'GLU', 'GLY', 'CYS', 'PRO', 'GLU', 'LYS', 'VAL', 'TYR', 'GLU', 'LEU', 'MET', 'ARG', 'ALA', 'CYS', 'TRP', 'GLN', 'TRP', 'ASN', 'PRO', 'SER', 'ASP', 'ARG', 'PRO', 'SER', 'PHE', 'ALA', 'GLU', 'ILE', 'HIS', 'GLN', 'ALA', 'PHE']\n",
      "\n",
      "residue number:  [242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493]\n",
      "\n",
      "residue index:  [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "nres=[]\n",
    "for res in trj.topology.residues: nres.append(res.resSeq)\n",
    "sequence=(' %s' % [residue for residue in trj.topology.residues])\n",
    "resname=(' %s' % [residue.name for residue in trj.topology.residues])\n",
    "resindex=(' %s' % [residue.index for residue in trj.topology.residues])\n",
    "res_num=(' %s' % [residue.resSeq  for residue in trj.topology.residues])\n",
    "\n",
    "\n",
    "\n",
    "#log = open(\"/Users/paulrobustelli/Desktop/Sa_calc.log\", \"w\")\n",
    "print(\"** SYSTEM INFO **\\n\")\n",
    "print(\"Number of atoms: %d\\n\" % trj.n_atoms)\n",
    "print(\"Number of residues: %d\\n\" % len(set(nres)))\n",
    "print(\"Number of frames: %d\\n\" % trj.n_frames)\n",
    "print(\"Starting frame: %d\\n\" % first_frame)\n",
    "print(\"Last frame: %d\\n\" % last_frame)\n",
    "print(\"sequence: %s\\n\" % sequence)\n",
    "print(\"residue names: %s\\n\" % resname)\n",
    "print(\"residue number: %s\\n\" % res_num)\n",
    "print(\"residue index: %s\\n\" % resindex)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254,\n",
       "       255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267,\n",
       "       268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280,\n",
       "       281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293,\n",
       "       294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319,\n",
       "       320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332,\n",
       "       333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345,\n",
       "       346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358,\n",
       "       359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371,\n",
       "       372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384,\n",
       "       385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397,\n",
       "       398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410,\n",
       "       411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423,\n",
       "       424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436,\n",
       "       437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449,\n",
       "       450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462,\n",
       "       463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475,\n",
       "       476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488,\n",
       "       489, 490, 491, 492, 493])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residue_num=[]\n",
    "for res in top.residues: \n",
    "    residue_num.append(res.resSeq)\n",
    "residue_id=np.asarray(residue_num)\n",
    "residue_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['C', 'E', 'E', ..., 'C', 'C', 'C'],\n",
       "       ['C', 'E', 'E', ..., 'H', 'C', 'C'],\n",
       "       ['C', 'E', 'E', ..., 'C', 'C', 'C'],\n",
       "       ...,\n",
       "       ['C', 'E', 'E', ..., 'C', 'C', 'C'],\n",
       "       ['C', 'E', 'E', ..., 'C', 'C', 'C'],\n",
       "       ['C', 'E', 'E', ..., 'C', 'C', 'C']], dtype='<U2')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Use DSSP to calculate the secondary structure definition\n",
    "#https://mdtraj.org/1.9.4/api/generated/mdtraj.compute_dssp.html\n",
    "dssp=md.compute_dssp(trj,simplified=True)\n",
    "dssp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4000, 252)\n",
      "Rows: 4000\n",
      "Columns: 252\n",
      "helical residues: [['280' 'H']\n",
      " ['281' 'H']\n",
      " ['282' 'H']\n",
      " ['283' 'H']\n",
      " ['284' 'H']\n",
      " ['285' 'H']\n",
      " ['286' 'H']\n",
      " ['287' 'H']\n",
      " ['288' 'H']\n",
      " ['289' 'H']\n",
      " ['323' 'H']\n",
      " ['324' 'H']\n",
      " ['325' 'H']\n",
      " ['326' 'H']\n",
      " ['327' 'H']\n",
      " ['337' 'H']\n",
      " ['338' 'H']\n",
      " ['339' 'H']\n",
      " ['340' 'H']\n",
      " ['341' 'H']\n",
      " ['342' 'H']\n",
      " ['343' 'H']\n",
      " ['344' 'H']\n",
      " ['345' 'H']\n",
      " ['346' 'H']\n",
      " ['347' 'H']\n",
      " ['348' 'H']\n",
      " ['349' 'H']\n",
      " ['350' 'H']\n",
      " ['351' 'H']\n",
      " ['352' 'H']\n",
      " ['353' 'H']\n",
      " ['354' 'H']\n",
      " ['355' 'H']\n",
      " ['356' 'H']\n",
      " ['357' 'H']\n",
      " ['366' 'H']\n",
      " ['367' 'H']\n",
      " ['368' 'H']\n",
      " ['373' 'H']\n",
      " ['374' 'H']\n",
      " ['375' 'H']\n",
      " ['403' 'H']\n",
      " ['404' 'H']\n",
      " ['405' 'H']\n",
      " ['408' 'H']\n",
      " ['409' 'H']\n",
      " ['410' 'H']\n",
      " ['411' 'H']\n",
      " ['412' 'H']\n",
      " ['413' 'H']\n",
      " ['420' 'H']\n",
      " ['421' 'H']\n",
      " ['422' 'H']\n",
      " ['423' 'H']\n",
      " ['424' 'H']\n",
      " ['425' 'H']\n",
      " ['426' 'H']\n",
      " ['427' 'H']\n",
      " ['428' 'H']\n",
      " ['429' 'H']\n",
      " ['430' 'H']\n",
      " ['431' 'H']\n",
      " ['432' 'H']\n",
      " ['433' 'H']\n",
      " ['449' 'H']\n",
      " ['450' 'H']\n",
      " ['451' 'H']\n",
      " ['452' 'H']\n",
      " ['453' 'H']\n",
      " ['466' 'H']\n",
      " ['467' 'H']\n",
      " ['468' 'H']\n",
      " ['469' 'H']\n",
      " ['470' 'H']\n",
      " ['471' 'H']\n",
      " ['472' 'H']\n",
      " ['473' 'H']\n",
      " ['474' 'H']\n",
      " ['475' 'H']\n",
      " ['486' 'H']\n",
      " ['487' 'H']\n",
      " ['488' 'H']\n",
      " ['489' 'H']\n",
      " ['490' 'H']]\n",
      "beta residues: [['243' 'E']\n",
      " ['244' 'E']\n",
      " ['245' 'E']\n",
      " ['246' 'E']\n",
      " ['247' 'E']\n",
      " ['256' 'E']\n",
      " ['257' 'E']\n",
      " ['258' 'E']\n",
      " ['259' 'E']\n",
      " ['260' 'E']\n",
      " ['261' 'E']\n",
      " ['266' 'E']\n",
      " ['267' 'E']\n",
      " ['268' 'E']\n",
      " ['269' 'E']\n",
      " ['270' 'E']\n",
      " ['271' 'E']\n",
      " ['272' 'E']\n",
      " ['298' 'E']\n",
      " ['301' 'E']\n",
      " ['302' 'E']\n",
      " ['303' 'E']\n",
      " ['304' 'E']\n",
      " ['305' 'E']\n",
      " ['312' 'E']\n",
      " ['313' 'E']\n",
      " ['314' 'E']\n",
      " ['315' 'E']\n",
      " ['321' 'E']\n",
      " ['322' 'E']\n",
      " ['359' 'E']\n",
      " ['360' 'E']\n",
      " ['369' 'E']\n",
      " ['370' 'E']\n",
      " ['371' 'E']\n",
      " ['377' 'E']\n",
      " ['378' 'E']\n",
      " ['379' 'E']\n",
      " ['386' 'E']\n",
      " ['387' 'E']\n",
      " ['393' 'E']\n",
      " ['394' 'E']\n",
      " ['415' 'E']\n",
      " ['416' 'E']]\n"
     ]
    }
   ],
   "source": [
    "print(dssp.shape)\n",
    "print(\"Rows:\",len(dssp))\n",
    "print(\"Columns:\",len(dssp[0]))\n",
    "\n",
    "#Print out helix and beta residues for a given frame\n",
    "frame=0\n",
    "dssp_frame=np.column_stack((residue_id,dssp[frame]))\n",
    "helix_res=np.where(dssp_frame[:,1]=='H')\n",
    "beta_res=np.where(dssp_frame[:,1]=='E')\n",
    "print('helical residues:',dssp_frame[helix_res])\n",
    "print('beta residues:',dssp_frame[beta_res])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(350.0, 400.0)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dssp=md.compute_dssp(trj,simplified=True)\n",
    "\n",
    "def dssp_convert(dssp):\n",
    " dsspH=np.copy(dssp)\n",
    " dsspE=np.copy(dssp)\n",
    " dsspH[dsspH=='H']=1                                                                                      \n",
    " dsspH[dsspH=='E']=0                                                                                      \n",
    " dsspH[dsspH=='C']=0                                                                                      \n",
    " dsspH[dsspH=='NA']=0 \n",
    " dsspH=dsspH.astype(int)\n",
    " TotalH=np.sum(dsspH,axis=1) \n",
    " Hprop=np.sum(dsspH,axis=0).astype(float)/len(dsspE) \n",
    "\n",
    " dsspE[dsspE=='H']=0\n",
    " dsspE[dsspE=='E']=1\n",
    " dsspE[dsspE=='C']=0\n",
    " dsspE[dsspE=='NA']=0\n",
    " dsspE=dsspE.astype(int)\n",
    " TotalE=np.sum(dsspE,axis=1) \n",
    " Eprop=np.sum(dsspE,axis=0).astype(float)/len(dsspE) \n",
    " return Hprop, Eprop\n",
    "\n",
    "Hprop,Eprop=dssp_convert(dssp)\n",
    "plt.plot(residue_num,Hprop,c='r',label='helix')\n",
    "plt.plot(residue_num,Eprop,c='b',label='sheet')\n",
    "\n",
    "plt.legend(loc=\"upper left\")\n",
    "plt.xlabel('Residue', size=18)\n",
    "plt.ylabel('Secondary Strcture Fraction', size=18)\n",
    "plt.tick_params(labelsize=18)\n",
    "plt.xlim(350,400)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***HOMEWORK Problem 1***\n",
    "\n",
    "**Use the full DSSP set of secondary structure assignments to plot the population of another secondary structure type and visualize it with a representative frame or frames in VMD**\n",
    "\n",
    "**Consult the original DSSP paper (or online documentaiton) to confirm the criteria for this assignment** \n",
    "\n",
    "Kabsch W, Sander C (1983). “Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features”. Biopolymers 22 (12): 2577-637. doi:10.1002/bip.360221211\n",
    "\n",
    "dssp=md.compute_dssp(trj,simplified=False)\n",
    "\n",
    "https://mdtraj.org/1.9.4/api/generated/mdtraj.compute_dssp.html\n",
    "\n",
    "The DSSP assignment codes are:\n",
    "\n",
    "‘H’ : Alpha helix\n",
    "\n",
    "‘B’ : Residue in isolated beta-bridge\n",
    "\n",
    "‘E’ : Extended strand, participates in beta ladder\n",
    "\n",
    "‘G’ : 3-helix (3/10 helix)\n",
    "\n",
    "‘I’ : 5 helix (pi helix)\n",
    "\n",
    "‘T’ : hydrogen bonded turn\n",
    "\n",
    "‘S’ : bend\n",
    "\n",
    "‘ ‘ : Loops and irregular elements\n",
    "\n",
    "The simplified DSSP codes are:\n",
    "\n",
    "‘H’ : Helix. Either of the ‘H’, ‘G’, or ‘I’ codes.\n",
    "\n",
    "‘E’ : Strand. Either of the ‘E’, or ‘B’ codes.\n",
    "\n",
    "‘C’ : Coil. Either of the ‘T’, ‘S’ or ‘ ‘ codes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "####HOMEWORK ######\n",
    "#Use the full DSSP Definition and plot the population of another secondary structure type \n",
    "#https://mdtraj.org/1.9.4/api/generated/mdtraj.compute_dssp.html\n",
    "\n",
    "dssp_full=md.compute_dssp(trj,simplified=False)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Challenge Problem #1***\n",
    "\n",
    "**Write function/efficient loop to calculate all secondary structure populations from the dssp_full definitions \n",
    "and write out all residues numbers with > 90% of each seondary structure type**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### Challenge Problem Write a Function to Compute the Population of Any Secondary Structure Type\n",
    "#### Write a loop to plot all populations\n",
    "#### Write code to output the residue numbers of every residue with > 90% each SS type\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***HOMEWORK Problem 2***\n",
    "\n",
    "**Identify a residue that has a substantial population (>10%) of a second secondary structure assignment \n",
    "(for example something that is 50% helix/ 50% coil or 80% helix/ 20% coil) and make representative snapshots to illustrate the 2 conformations.  Can you identify any other structural changes in the vicinity of that residue that favor the 2nd conformation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "340\n",
      "Residue 340\n",
      "helix_frames: (array([   0,    1,    2, ..., 3997, 3998, 3999]),)\n",
      "helix_frames: (array([], dtype=int64),)\n"
     ]
    }
   ],
   "source": [
    "#Find all the frames where a given residue is H or E\n",
    "residue_number=340\n",
    "array_index=residue_number-242\n",
    "print(np.asarray(residue_num)[array_index])\n",
    "helix_frames=np.where(dssp[:,array_index]=='H')\n",
    "beta_frames=np.where(dssp[:,array_index]=='E')\n",
    "\n",
    "print(\"Residue %s\"%np.asarray(residue_num)[array_index])\n",
    "print(\"helix_frames:\",helix_frames)\n",
    "print(\"helix_frames:\",beta_frames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices_phi, phis = md.compute_phi(trj)\n",
    "indices_psi, psis = md.compute_psi(trj)\n",
    "indices_chi1, chi1s = md.compute_chi1(trj)\n",
    "indices_chi2, chi2s = md.compute_chi2(trj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4000,)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(phis[:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "phi_dict={}\n",
    "dihedral_dict = { 'phi': { },\n",
    "          'psi': { },\n",
    "          'chi1': { },\n",
    "          'chi2': { }}\n",
    "\n",
    "for i in range(0,len(indices_phi)):\n",
    "  indices=indices_phi[i]\n",
    "  atom=top.atom(indices[1])\n",
    "  resnum=top.atom(indices[1]).residue.resSeq\n",
    "  dihedral_dict['phi'][resnum]=phis[:,i]\n",
    "\n",
    "for i in range(0,len(indices_psi)):\n",
    "  indices=indices_psi[i]\n",
    "  atom=top.atom(indices[1])\n",
    "  resnum=top.atom(indices[1]).residue.resSeq\n",
    "  dihedral_dict['psi'][resnum]=psis[:,i]\n",
    "\n",
    "for i in range(0,len(indices_chi1)):\n",
    "  indices=indices_chi1[i]\n",
    "  atom=top.atom(indices[1])\n",
    "  resnum=top.atom(indices[1]).residue.resSeq\n",
    "  dihedral_dict['chi1'][resnum]=chi1s[:,i]\n",
    "\n",
    "for i in range(0,len(indices_chi2)):\n",
    "  indices=indices_chi2[i]\n",
    "  atom=top.atom(indices[1])\n",
    "  resnum=top.atom(indices[1]).residue.resSeq\n",
    "  dihedral_dict['chi2'][resnum]=chi2s[:,i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' [ILE242, THR243, MET244, LYS245, HIS246, LYS247, LEU248, GLY249, GLY250, GLY251, GLN252, TYR253, GLY254, GLU255, VAL256, TYR257, GLU258, GLY259, VAL260, TRP261, LYS262, LYS263, TYR264, SER265, LEU266, THR267, VAL268, ALA269, VAL270, LYS271, THR272, LEU273, LYS274, GLU275, ASP276, THR277, MET278, GLU279, VAL280, GLU281, GLU282, PHE283, LEU284, LYS285, GLU286, ALA287, ALA288, VAL289, MET290, LYS291, GLU292, ILE293, LYS294, HIS295, PRO296, ASN297, LEU298, VAL299, GLN300, LEU301, LEU302, GLY303, VAL304, CYS305, THR306, ARG307, GLU308, PRO309, PRO310, PHE311, TYR312, ILE313, ILE314, THR315, GLU316, PHE317, MET318, THR319, TYR320, GLY321, ASN322, LEU323, LEU324, ASP325, TYR326, LEU327, ARG328, GLU329, CYS330, ASN331, ARG332, GLN333, GLU334, VAL335, ASN336, ALA337, VAL338, VAL339, LEU340, LEU341, TYR342, MET343, ALA344, THR345, GLN346, ILE347, SER348, SER349, ALA350, MET351, GLU352, TYR353, LEU354, GLU355, LYS356, LYS357, ASN358, PHE359, ILE360, HIS361, ARG362, ASP363, LEU364, ALA365, ALA366, ARG367, ASN368, CYS369, LEU370, VAL371, GLY372, GLU373, ASN374, HIS375, LEU376, VAL377, LYS378, VAL379, ALA380, ASP381, PHE382, GLY383, LEU384, SER385, ARG386, LEU387, MET388, THR389, GLY390, ASP391, THR392, TYR393, THR394, ALA395, HIS396, ALA397, GLY398, ALA399, LYS400, PHE401, PRO402, ILE403, LYS404, TRP405, THR406, ALA407, PRO408, GLU409, SER410, LEU411, ALA412, TYR413, ASN414, LYS415, PHE416, SER417, ILE418, LYS419, SER420, ASP421, VAL422, TRP423, ALA424, PHE425, GLY426, VAL427, LEU428, LEU429, TRP430, GLU431, ILE432, ALA433, THR434, TYR435, GLY436, MET437, SER438, PRO439, TYR440, PRO441, GLY442, ILE443, ASP444, LEU445, SER446, GLN447, VAL448, TYR449, GLU450, LEU451, LEU452, GLU453, LYS454, ASP455, TYR456, ARG457, MET458, GLU459, ARG460, PRO461, GLU462, GLY463, CYS464, PRO465, GLU466, LYS467, VAL468, TYR469, GLU470, LEU471, MET472, ARG473, ALA474, CYS475, TRP476, GLN477, TRP478, ASN479, PRO480, SER481, ASP482, ARG483, PRO484, SER485, PHE486, ALA487, GLU488, ILE489, HIS490, GLN491, ALA492, PHE493]'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sequence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Heres a function to plot a phi/psi ramachandran plot:\n",
    "\n",
    "def plot_phipsi(res):\n",
    " plt.hist2d(dihedral_dict['phi'][res],dihedral_dict['psi'][res],bins=36,range=[[-3.14,3.14],[-3.14,3.14]], norm=colors.LogNorm(),cmap='jet')\n",
    " plt.xlabel('$\\phi$', size=18)\n",
    " plt.ylabel('$\\psi$', size=18)\n",
    " plt.xticks([-3.14,-3.14/2,0,3.14/2,3.14],fontsize=35)\n",
    " plt.yticks([-3.14,-3.14/2,0,3.14/2,3.14],fontsize=35)\n",
    " plt.tick_params(labelsize=18)\n",
    " plt.show()\n",
    " return\n",
    "\n",
    "def plot_chi(res):\n",
    "    if res in dihedral_dict['chi1']:\n",
    "     plt.hist(dihedral_dict['chi1'][res],bins=36,range=[-3.14,3.14])        \n",
    "     plt.xticks([-3.14,-3.14/2,0,3.14/2,3.14],fontsize=35)\n",
    "     plt.xlabel('$\\chi_1$', size=18)\n",
    "     plt.ylabel('counts', size=18)\n",
    "     plt.tick_params(labelsize=18)\n",
    "     plt.show()\n",
    "     plt.clf()   \n",
    "    if res in dihedral_dict['chi2']:\n",
    "     plt.hist2d(dihedral_dict['chi1'][res],dihedral_dict['chi2'][res],bins=36,range=[[-3.14,3.14],[-3.14,3.14]], norm=colors.LogNorm(),cmap='jet')\n",
    "     plt.xlabel('$\\chi_1$', size=18)\n",
    "     plt.ylabel('$\\chi_2$', size=18)\n",
    "     plt.xticks([-3.14,-3.14/2,0,3.14/2,3.14],fontsize=35)\n",
    "     plt.yticks([-3.14,-3.14/2,0,3.14/2,3.14],fontsize=35)\n",
    "     plt.tick_params(labelsize=18)\n",
    "     plt.show()\n",
    "    return\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_phipsi(308)\n",
    "plt.clf()\n",
    "plot_chi(308)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([256, 260, 268, 270, 280, 289, 299, 304, 335, 338, 339, 371, 377,\n",
       "       379, 422, 427, 448, 468])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Lets Visualize Some Rotamers\n",
    "#Lets Find all the VAL residues and plot thier X1 values\n",
    "CA_sel=top.select('name CA')\n",
    "resnames=[]\n",
    "resnums=[]\n",
    "for i in CA_sel:\n",
    " resnum=top.atom(i).residue.resSeq\n",
    " resnums.append(resnum)\n",
    " resname=top.atom(i).residue.name\n",
    " resnames.append(resname)\n",
    "\n",
    "resnums=np.asarray(resnums)\n",
    "resnames=np.asarray(resnames)\n",
    "VAL_indices=np.where(resnames=='VAL')\n",
    "Val_resnums=resnums[VAL_indices]\n",
    "Val_resnums"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 256\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 260\n"
     ]
    },
    {
     "data": {
      "image/png": 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uAJ4GHA1cmORFVdXvHCIAba/yUOB24Iy5VpLkSOBIgB122GEkHZckjd5YQzHJlnQhNKyPVNUto1p/Vb21Z9G5ST4DfAv4OLDTHNX3B3YAPllVtw9Yz8nAyQBTU1PzHiUrSVoc495T3BJ49zzKnw6MLBT7qaqrkpwJHJJk56r6wSxFD2/PHjqVpHXEWEOxqlYBGWcfZrGqPW8DPCwUk2wN/BZweVVdtIj9kiQtIAfa9Dd92PSmWd7/HWBD3EuUpHXKsgjFJNsk2TXJFjOWbZpkoz5l9wQOAK6oqqtnafIw4F66w7mSpHXEuM8prrEkv0k3WhRgx7bsne31rVV10oziR9GduzwUOK0t2wn4YpJzgatYPfr0MOAB2mjRPuvdB3gKcGZV3TyijyNJWgImNhSB3wZe17PsT9vzdcBJzO0ndNO27Qe8BtgY+DHd5RXHVdWVs9RzgI0kraNS5RUCi2lqaqpWrlw57m5I0sRIcmlVTS3GupbFOUVJkoZhKEqS1BiKkiQ1hqIkSY2hKElSYyhKktQYipIkNYaiJEmNoShJUmMoSpLUGIqSJDWGoiRJjaEoSVJjKEqS1BiKkiQ1hqIkSY2hKElSYyhKktQYipIkNYaiJEmNoShJUmMoSpLUGIqSJDWGoiRJjaEoSVJjKEqS1BiKkiQ1hqIkSY2hKElSYyhKktQYipIkNYaiJEmNoShJUmMoSpLUGIqSJDWGoiRJjaEoSVJjKEqS1BiKkiQ1hqIkSY2hKElSM5GhmOTRSU5N8p0ktyS5O8m/Jvlkkh3n0c7+Sf4iySWtjUqy75B1t01ya6vzljX9LJKkpWP9cXdgDW0F7Ax8CbgOuAvYCTgMOCDJM6vq+0O08xrg1cD3gCuAPebRhxOBR8yjvCRpiZvIUKyqfwGe1bs8ydnAxcBRwBuHaOodwBuq6p62t7fHMOtP8hLgZcBbgQ8M2W1J0hI3kaE4h+va81bDFK6qG+a7giS/AHwU+DhwyXzrS5KWrok8pzgtyQZJtmnn954DfLa99bcLuNrj6P6YeMcCrkOSNAaTvqf468B5M17fBLy5qj61ECtL8kzg94BXV9VtSYatdyRwZHt5T5LvLUT/lqFtgJvH3Yl1iNtztNyeo7PLYq1orKGYZEvg6HlU+UhV3TLj9UXA/sDGwJOBA4GtkqxfVfePqp/Q7ZUCK4AvV9UZ86lbVScDJ7d2VlbV1Cj7tly5LUfL7Tlabs/RSbJysdY17j3FLYF3z6P86cDPQ7Gqbga+3F6el+RTwHeARwNvGFEfp/0JsCPw0hG3K0laIsZ6TrGqVlVV5vH41wHt3UgXkocneeSo+plkW7pziH/VvcyO7XrI7VqRrduyTUe1TknS4pvogTaz2Jju+sHNR9jmY4CN6PY+r5rxOL29/9b2+oVDtHXyCPu13LktR8vtOVpuz9FZtG2ZqlqsdY1MksdU1U19lj+Z7jrFm6rql2cs34bupPePq+q2Wdp8C/DnwH5VdUHPe1vQnbvstRvwHuB/0w34+caaXOYhSVoaxn1OcU29Lcn+wP8FVgEBngIcDGzAwy/cP4ru3OWhwGnTC5M8FXhJezk9GcDBSZ7d/n1iVd3WgvTs3k4kmR5Z9t2qetj7kqTJMqmh+AXg8cAr6QbVPAK4ATgL+GBVXT5kO08H/rRn2WEz/n060HfPUpK07pnIw6eSJC2EdXGgzaLyjh2jleQNST6d5MokDySZ919tSU5r26Lf4xXzKFtJrhrdp1sYSdZLckzbZncn+WGSD81nNHSSFyX5pyR3tO/xWUl+aZayWyQ5MckNbX2XJ/m9DDubxRKX5G3t81/TvgOr1qCNC+b4Tk3No2wlOX9kH26RJdml/f98RZLbktzZvqfHt1H9w7TxyvYb++0k97Vt8sQh6z51Rp1XDK4xuYdPlxLv2DFabwO2Bi4DNgW2X4u2Du6z7OKe159g9bWuM/0q3Tno8/q8t9R8GPgD4PPAh4Antdd7JnlBVT04V+UkL6c7Z/5t4I+BLegm1fh6kql2qdN02Q2B84E96b53V9CNuv4Y3Sjt94zyg43J++muh/4m3bXUa+pm4Jg+y6/pef0+4JQ+5Q4EfoPJ+A7OZntgW7rv5o+A+4Hd6Wb4OijJHlX1bwPaeCOwD93382qGnN0myXp0E67cDWw2dI+ryscCPIC9gAI+NmT57YBHtn+/pdXdd4h6LwEeoPsxK+At4/7sa7ndngis1/79he4rOu82TluTej1t/H3bnruNe5sM6OduwIPA53qWv6n1/9UD6m9Adz7+OmCzGcv3aN+rk3vKv7G1+6ae5Z8D7gWeMO5tMoJt+l9m/Pt7wKo1aOOCNanX08aV7Qf9F8e9TRZgGx/Qvkf/fYiyOwDrt3+f1Oo9cYh6fwjcDryr1XnFMH3z8OnCmfcdO6rqnvmsIOvgHTuqm9Bhzj2bYaWzefuLcT71ngC8ALiohh+0NS6voht9fULP8hXAncBrB9R/HvA44JSqun16YVV9i+6H/cB0UxxOe3Vrd0VPOyfQBeyB8+n8UlRVvXtya6wd2t58voeW093gYBfg8/XQqS3XFUP/PlbV9TXPaTuTPB44lu7IxfXzqWsojki8Y8dSdFt73JXk/CT7DFnvULr/N/od0lpq9qLbU3zIYeGquhv4Vnt/UH2Ab/R57yK6STB2hp8fjno6cFlrf6aLWz8GrW852Y5uT+U24PYk5yTZdci6h7fnSfgODpRko/b7uH2SX6M7bQEL9/v4MbrD1CfMt6LnFEdnIu7YsUz8hO4826XAHcDT6M6RXZjkRVXV7xwi8PMf/kPpfszmNfH7mDwOuHmWoww3AP81yYZVde8c9afL9qsP3Y/75XR/1W/cr2x1N+r+d1ZPfbjcXQt8nW4u5gfozokdBTw/ybOr6ruzVUyyOd3hxWuBry5CXxfDEXTnoKetAl5bVReOekVJDgReDDyrqu6f72+jodhkmdyxYzGMYFuulap6a8+ic5N8hm7P6eN0A6Fmsz/dOYxPzjycuIRtAsx22P3uGWVmC8VN2nO/Nu7uKTNX2enym8zy3rJSVYf2LDo7yd/QHZI+nv4zZE17Fd12/MtqJ8fWAefSnSPdjG6Q1kuAR416Je235wRgRVX1O/oxkKG42pZ4x45R2ZK12JYLoaquSnImcEiSnavqB7MUnbTDVnfSfcf62WhGmbnqA/SbQL+3/lxlp8vPta5lraouTPIPwH5JNq6qu2Ypejjd3uWpi9e7hVVVP6IbfQrdH6mfAy5p2+G4Ea7qg3SnPnr/MB6a5xSb8o4dIzPqbTlCq9rzNv3eTLI18FvA5VV10SL1aW3dCGwzy3dsO7pDq7PtJU7Xny7brz6sPlz6M7pLjh5Wtq1/a/ofhtVqq+gun+o7wCTJ7nTnZf+u1uF5lKvqO3SXXfVOybnGkjyd7lK4k1j9O7gjq/9ofGxbNufvsaG4sJb6HTuWm+nDpg+bTL75HWBDJmcvEbpRx+sBe89cmGQjussqBt2cdXrU8q/0ee+ZwH8APwBoo4K/SXf9Y+8Py96tH4t2M9gJtRPdtXqzHRk5oj1P0ndwTW0M/OII29uBbiT2e3nob+OftfdPbK93n6sRD5+upcx9x47nA9dU1U9nLB94x44BrqU7Cd/rYXfsWIO2J0q/bdn2kB/oHR2ZZE+67XZFVV09S5OH0Z17O32W95eiM4C30wYSzVj+errzUp+eXtCOMmwBXF9V04c5vwb8GDgiyYenz6MmeRqwL3BqVd03o93P0k2efyQPHThxNN2P/Zkj+lwTod82TXdXndur6oGesi+m23Zf7DN6d3pv+zV0f7R9YaH7vhiSPLaqftJn+X50N3G4YMayft/P+biY/r+N+wK/TzexxUV0EwDMylBce96xY4SS/CbdaFHozpuS5J3t9a1VddKM4v225U7AF5OcS/dX4fTo08PoztMcOct696H773ZmOz88Earqu0k+ChyV5By6Ie7TM9p8DfjMjOLHAa8D9qP9GFXVfUn+kC5cL0yygu7IxjHAT3n4ueEVdNv7+DbV1hXAi4CXAcdW1bUL8DEXVZKDgSe0l48CNpzxHbyuZ0T5w7Zp+/fxSc6juyzgfro96dfSzXJz9CyrfindIegPjHpw3hh9vIXdV+muTdwIeAZwEPCfwJtnlO23LUnyXOC57eX0FHlHJbkVoKqObc830v+3cXo2m4uG+m0c5gp/H3POmvACutk8VtENMriH7n+EU+kzGwrd3lwBh/QsP6Qtn+0x5wwOdH8NrQsz2pw2xzZYNWhbAo8FPkU30u0/gPvoLt79K2DXOdZ7cmtr/3FvgzXYZo+g+3H5l/b9u4FuhONmPeWmt+2+fdr4Dbq/ou+kO3d4NvDLs6xvS7rzNje29X2f7g+UjHtbjGh7XjDHd/CCQduU7o+Ss+j2SG5v2+hquok2tptjvV9qbe087m0wwm35Srodhh/SjU6+q/2/eSKwwzDfzxn/n/d9DNGH6d/WoWa08S4ZkiQ1DrSRJKkxFCVJagxFSZIaQ1GSpMZQlCSpMRQlSWoMRUmSGkNRkqTGUJQkqTEUJQHdhNVJKslLx90XaVwMRUnTpm+p892x9kIaI0NR0rTd6SYEn/g7XUhrylCUNG134PLqbiYsLUuGorSMJdktydlJfkYXilNJfpTkHePumzQOhqK0TCV5IXAJsAtwZlv8KeDHwLFJjh5T16SxMRSlZSjJdsAZwOV0d4X/dnvrfwG/Tndz5t8dT++k8TEUpeXpLcAvAEdW1V3A04F7ge9V1S3Ad4DHj7F/0likqsbdB0mLLMn1wB1V9aT2+jLggaqaaq+/D2xeVduPsZvSonNPUVpmkjyabi/wm+31I4HdZrzeAtgRuHRcfZTGxVCUlp+t2/Md7Xl3YANWh+Ar2+uzF7lf0tgZitLycyPwIPDsJOsBz2jLv5nk8cBxwPeBvx5T/6SxMRSlZaaqbqMLvCcB5wAHtLd+k+4SjXuAl1XVfePpoTQ+DrSRlqEkmwIfBl4BbAUUcBPwf4B3V9VNY+yeNDaGorSMJVmf7tzi6VV1+Lj7I42bh0+l5W0XYEPge+PuiLQUGIrS8vaU9mwoShiK0nK3W3s2FCU8pyhJ0s+5pyhJUmMoSpLUGIqSJDWGoiRJjaEoSVJjKEqS1BiKkiQ1/x80euUt1zUehAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 268\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 270\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 280\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 289\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 299\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 304\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 335\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 338\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 339\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 371\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 377\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 379\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 422\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 427\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 448\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residue 468\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in Val_resnums:\n",
    "    print(\"Residue\",i)\n",
    "    plot_phipsi(i)\n",
    "    plt.clf()\n",
    "    plot_chi(i)\n",
    "    plt.clf()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***HOMEWORK Problem 3***\n",
    "\n",
    "**Identify a residue that has 2 rotameric states and make representative snapshots to illustrate the 2 conformations (or a single snapshot with an overlay of two representative conformations).  Can you identify any other structural changes in the vicinity of that residue that favor the 2nd conformation.  Make a plot of the Chi 1 histogram (or Chi1/Chi2 if the residue has a Chi2 degree of freedom) and add a marking to the plot to indicate the dihedrals shown in your snapshot**\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***HOMEWORK Problem 4***\n",
    "\n",
    "**Identify a residue that has 2 phi/psi free energy minima states and make representative snapshots to illustrate representative conformations (or a single snapshot with an overlay of two representative conformations).  Can you identify any other structural changes in the vicinity of that residue that favor the 2nd conformation.  Make a plot of the phi/psi histograms and add marking to the plot to indicate the phi/psi angles shown in your snapshot**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Challenge Problem 2***\n",
    "\n",
    "**Identify a residue with phi/psi basins that favor distinct rotamers and make a plot of chi distributions for different regions of the phi/psi basins**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Lets Make A Pretty Free Energy Plot \n",
    "\n",
    "def plot_phipsi_FES(res):\n",
    " free_energy,xedges,yedges=np.histogram2d(dihedral_dict['phi'][res],dihedral_dict['psi'][res],36,[[-3.14,3.14],[-3.14,3.14]],normed=True,weights=None)\n",
    " free_energy=np.log(np.flipud(free_energy)+.000001)\n",
    " T=300                                                                                                  \n",
    " kbT=T*0.008314/4.184 # kT in kcal/mol\n",
    " dG=-(kbT)*free_energy #Convert to kcal/mol\n",
    " im=plt.imshow(dG, interpolation='gaussian',extent=[yedges[0], yedges[-1], xedges[0], xedges[-1]],cmap='jet',aspect='auto')\n",
    " cbar_ticks=[0,1,2,3]\n",
    " cb = plt.colorbar(ticks=cbar_ticks, format=('% .1f'), aspect=10) # grab the Colorbar instance\n",
    " imaxes = plt.gca()                                                                                                 \n",
    " plt.xticks([-3.14,-3.14/2,0,3.14/2,3.14],fontsize=35)\n",
    " plt.yticks([-3.14,-3.14/2,0,3.14/2,3.14],fontsize=35)\n",
    " plt.xlabel('$\\phi$', size=18)\n",
    " plt.ylabel('$\\psi$', size=18)\n",
    " plt.tick_params(labelsize=18)\n",
    " plt.axes(cb.ax)\n",
    " plt.clim(vmin=0.1,vmax=3.0)\n",
    " plt.yticks(size='26')\n",
    " plt.tight_layout()\n",
    " plt.show()\n",
    " return\n",
    "\n",
    "plot_phipsi_FES(350)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}