{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NOTEBOOK_HEADER-->\n",
    "*This notebook contains material from [PyRosetta](https://RosettaCommons.github.io/PyRosetta);\n",
    "content is available [on Github](https://github.com/RosettaCommons/PyRosetta.notebooks.git).*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [Getting spatial features from a Pose](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/02.04-Getting-Spatial-Features-from-Pose.ipynb) | [Contents](toc.ipynb) | [Index](index.ipynb) | [Visualization with the `PyMOLMover`](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/02.06-Visualization-and-PyMOL-Mover.ipynb) ><p><a href=\"https://colab.research.google.com/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/02.05-Protein-Geometry.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open in Google Colaboratory\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Protein Geometry\n",
    "Keywords: pose_from_sequence(), bond_angle(), set_phi(), set_psi(), xyz()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Notebook setup\n",
    "import sys\n",
    "if 'google.colab' in sys.modules:\n",
    "    !pip install pyrosettacolabsetup\n",
    "    import pyrosettacolabsetup\n",
    "    pyrosettacolabsetup.setup()\n",
    "    print (\"Notebook is set for PyRosetta use in Colab.  Have fun!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0mcore.init: \u001b[0mChecking for fconfig files in pwd and ./rosetta/flags\n",
      "\u001b[0mcore.init: \u001b[0mRosetta version: PyRosetta4.Release.python36.mac r208 2019.04+release.fd666910a5e fd666910a5edac957383b32b3b4c9d10020f34c1 http://www.pyrosetta.org 2019-01-22T15:55:37\n",
      "\u001b[0mcore.init: \u001b[0mcommand: PyRosetta -ex1 -ex2aro -database /Users/kathyle/Computational Protein Prediction and Design/PyRosetta4.Release.python36.mac.release-208/pyrosetta/database\n",
      "\u001b[0mcore.init: \u001b[0m'RNG device' seed mode, using '/dev/urandom', seed=1321341383 seed_offset=0 real_seed=1321341383\n",
      "\u001b[0mcore.init.random: \u001b[0mRandomGenerator:init: Normal mode, seed=1321341383 RG_type=mt19937\n"
     ]
    }
   ],
   "source": [
    "from pyrosetta import *\n",
    "from pyrosetta.teaching import *\n",
    "init()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**From previous section:**\n",
    "Make sure you are in the directory with the pdb files:\n",
    "\n",
    "`cd google_drive/My\\ Drive/student-notebooks/`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0mcore.import_pose.import_pose: \u001b[0mFile '5tj3.pdb' automatically determined to be of type PDB\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CG  on residue LYS 233\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CD  on residue LYS 233\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CE  on residue LYS 233\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  NZ  on residue LYS 233\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CG  on residue ASP 350\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  OD1 on residue ASP 350\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  OD2 on residue ASP 350\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CG  on residue LYS 353\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CD  on residue LYS 353\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CE  on residue LYS 353\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  NZ  on residue LYS 353\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CG  on residue GLU 354\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CD  on residue GLU 354\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  OE1 on residue GLU 354\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  OE2 on residue GLU 354\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CG  on residue LYS 382\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CD  on residue LYS 382\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CE  on residue LYS 382\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  NZ  on residue LYS 382\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CG  on residue TYR 454\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CD1 on residue TYR 454\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CD2 on residue TYR 454\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CE1 on residue TYR 454\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CE2 on residue TYR 454\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  CZ  on residue TYR 454\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  OH  on residue TYR 454\n",
      "\u001b[0mcore.conformation.Conformation: \u001b[0m\u001b[1m[ WARNING ]\u001b[0m missing heavyatom:  OXT on residue GLY:CtermProteinFull 520\n",
      "\u001b[0mcore.pack.pack_missing_sidechains: \u001b[0mpacking residue number 233 because of missing atom number 6 atom name  CG\n",
      "\u001b[0mcore.pack.pack_missing_sidechains: \u001b[0mpacking residue number 350 because of missing atom number 6 atom name  CG\n",
      "\u001b[0mcore.pack.pack_missing_sidechains: \u001b[0mpacking residue number 353 because of missing atom number 6 atom name  CG\n",
      "\u001b[0mcore.pack.pack_missing_sidechains: \u001b[0mpacking residue number 354 because of missing atom number 6 atom name  CG\n",
      "\u001b[0mcore.pack.pack_missing_sidechains: \u001b[0mpacking residue number 382 because of missing atom number 6 atom name  CG\n",
      "\u001b[0mcore.pack.pack_missing_sidechains: \u001b[0mpacking residue number 454 because of missing atom number 6 atom name  CG\n",
      "\u001b[0mcore.pack.task: \u001b[0mPacker task: initialize from command line()\n",
      "\u001b[0mcore.scoring.ScoreFunctionFactory: \u001b[0mSCOREFUNCTION: \u001b[32mref2015\u001b[0m\n",
      "\u001b[0mcore.pack.pack_rotamers: \u001b[0mbuilt 90 rotamers at 6 positions.\n",
      "\u001b[0mcore.pack.interaction_graph.interaction_graph_factory: \u001b[0mInstantiating DensePDInteractionGraph\n"
     ]
    }
   ],
   "source": [
    "pose = pose_from_pdb(\"inputs/5tj3.pdb\")\n",
    "resid = pose.pdb_info().pdb2pose('A', 28)\n",
    "res_28 = pose.residue(resid)\n",
    "N28 = AtomID(res_28.atom_index(\"N\"), resid)\n",
    "CA28 = AtomID(res_28.atom_index(\"CA\"), resid)\n",
    "C28 = AtomID(res_28.atom_index(\"C\"), resid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rosetta Database Files\n",
    "\n",
    "Let's take a look at Rosetta's ideal values for this amino acid's bond lengths and see how these values compare. First find Pyrosetta's database directory on your computer (hint: it should have shown up when you ran `init()` at the beginning of this Jupyter notebook.) Here's an example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 1,
     "metadata": {
      "image/png": {
       "width": "700"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image('./Media/init-path.png',width='700')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Head to the subdirectory `chemical/residue_type_sets/fa_standard/` to find the residue you're looking at. Let's look at valine, which can be found in the `l-caa` folder, since it is a standard amino acid. The `ICOOR_INTERNAL` lines will provide torsion angles, bond angles, and bond lengths between subsequent atoms in this residue. From this you should be able to deduce Rosetta's ideal $N$-$C_\\alpha$ and $C_\\alpha$-$C$ bond lengths.\n",
    "\n",
    "These ideal values would for instance be used if we generated a new pose from an amino acid sequence. In fact, let's try that here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "V\n"
     ]
    }
   ],
   "source": [
    "one_res_seq = \"V\"\n",
    "pose_one_res = pose_from_sequence(one_res_seq)\n",
    "print(pose_one_res.sequence())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.458004\n",
      "1.52326\n"
     ]
    }
   ],
   "source": [
    "N_xyz = pose_one_res.residue(1).xyz(\"N\")\n",
    "CA_xyz = pose_one_res.residue(1).xyz(\"CA\")\n",
    "C_xyz = pose_one_res.residue(1).xyz(\"C\")\n",
    "print((CA_xyz - N_xyz).norm())\n",
    "print((CA_xyz - C_xyz).norm())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets figure out how to get angles in the protein. If the `Conformation` class has the angle we're looking for, we can use the AtomID objects we've already created:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.913188766577386\n"
     ]
    }
   ],
   "source": [
    "angle = pose.conformation().bond_angle(N28, CA28, C28)\n",
    "print(angle)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that `.bond_angle()` gives us the angle in radians. We can compute the above angle in degrees:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "109.61764173672383"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import math\n",
    "angle*180/math.pi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note how this compares to the expected angle based on a tetrahedral geometry for the $C_\\alpha$ carbon."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 5: Calculating psi angle\n",
    "\n",
    "Try to calculate this angle using the xyz atom positions for N, CA, and C of residue A:28 in the protein. You can use the `Vector` function `v3 = v1.dot(v2)` along with `v1.norm()`. The vector angle between two vectors BA and BC is $\\cos^{-1}(\\frac{BA \\cdot BC}{|BA| |BC|})$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Manipulating Protein Geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also alter the geometry of the protein, with particular interest in manipulating the protein backbone and $\\chi$ dihedrals.\n",
    "\n",
    "### Exercise 6: Changing phi/psi angles\n",
    "\n",
    "Perform each of the following manipulations, and give the coordinates of the CB atom of Pose residue 2 afterward.\n",
    "- Set the $\\phi$ of residue 2 to -60\n",
    "- Set the $\\psi$ of residue 2 to -43"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "nbgrader": {
     "grade": true,
     "grade_id": "cell-3fca851f0347c0e2",
     "locked": false,
     "points": 0,
     "schema_version": 1,
     "solution": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "original phi: 180.0\n",
      "original psi: 180.0\n",
      "xyz coordinates:       3.535270304899897       3.659035776744378       1.199094204197625\n"
     ]
    }
   ],
   "source": [
    "# three alanines\n",
    "tripeptide = pose_from_sequence(\"AAA\")\n",
    "\n",
    "orig_phi = tripeptide.phi(2)\n",
    "orig_psi = tripeptide.psi(2)\n",
    "print(\"original phi:\", orig_phi)\n",
    "print(\"original psi:\", orig_psi)\n",
    "\n",
    "# print the xyz coordinates of the CB atom of residue 2 here BEFORE setting\n",
    "### BEGIN SOLUTION\n",
    "print(\"xyz coordinates:\", tripeptide.residue(2).xyz(\"CB\"))\n",
    "### END SOLUTION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "nbgrader": {
     "grade": true,
     "grade_id": "cell-3ae37d3a46fed417",
     "locked": false,
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     "schema_version": 1,
     "solution": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "new phi: -60.0\n",
      "new psi: -43.0\n"
     ]
    }
   ],
   "source": [
    "# set the phi and psi here\n",
    "### BEGIN SOLUTION\n",
    "tripeptide.set_phi(2, -60)\n",
    "tripeptide.set_psi(2, -43)\n",
    "\n",
    "print(\"new phi:\", tripeptide.phi(2))\n",
    "print(\"new psi:\", tripeptide.psi(2))\n",
    "### END SOLUTION\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "nbgrader": {
     "grade": true,
     "grade_id": "cell-5d71509d56bce1ff",
     "locked": false,
     "points": 0,
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     "solution": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xyz coordinates:       5.498535447297188       2.671616235800968     0.06968570437453583\n"
     ]
    }
   ],
   "source": [
    "# print the xyz coordinates of the CB atom of residue 2 here AFTER setting\n",
    "### BEGIN SOLUTION\n",
    "print(\"xyz coordinates:\", tripeptide.residue(2).xyz(\"CB\"))\n",
    "### END SOLUTION\n",
    "# did changing the phi and psi angle change the xyz coordinates of the CB atom of alanine 2?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By printing the pose (see below command), we can see that the whole protein is in a single chain from residue 1 to 524 (or 519, depending on if the pose was cleaned).\n",
    "\n",
    "The `FOLD_TREE` controls how changes to residue geometry propagate through the protein (left to right in the FoldTree chain.) We will go over the FoldTree in another lecture, but based on how you think perturbing the backbone of a protein structure affects the overall protein conformation, consider this question: If you changed a torsion angle for residue 5, would the Cartesian coordinaes for residue 7 change? What about the coordinates for residue 3?\n",
    "\n",
    "Try looking at the pose in PyMOL before and after you set the backbone $\\phi$ and $\\psi$ for a chosen residue."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PDB file name: 5tj3.pdb\n",
      "Total residues:524\n",
      "Sequence: NAVPRPKLVVGLVVDQMRWDYLYRYYSKYGEGGFKRMLNTGYSLNNVHIDYVPTVTAIGHTSIFTGSVPSIHGIAGNDWYDKELGKSVYCTSDETVQPVGTTSNSVGQHSPRNLWSTTVTDQLGLATNFTSKVVGVSLKDRASILPAGHNPTGAFWFDDTTGKFITSTYYTKELPKWVNDFNNKNVPAQLVANGWNTLLPINQYTESSEDNVEWEGLLGSKKTPTFPYTDLAKDYEAKKGLIRTTPFGNTLTLQMADAAIDGNQMGVDDITDFLTVNLASTDYVGHNFGPNSIEVEDTYLRLDRDLADFFNNLDKKVGKGNYLVFLSADHGAAHSVGFMQAHKMPTGFFDMKKEMNAKLKQKFGADNIIAAAMNYQVYFDRKVLADSKLELDDVRDYVMTELKKEPSVLYVLSTDEIWESSIPEPIKSRVINGYNWKRSGDIQIISKDGYLSAYSKKGTTHSVWNSYDSHIPLLFMGWGIKQGESNQPYHMTDIAPTVSSLLKIQFPSGAVGKPITEVIGZZZZ\n",
      "Fold tree:\n",
      "FOLD_TREE  EDGE 1 520 -1  EDGE 1 521 1  EDGE 1 522 2  EDGE 1 523 3  EDGE 1 524 4 \n"
     ]
    }
   ],
   "source": [
    "print(pose)"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [Getting spatial features from a Pose](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/02.04-Getting-Spatial-Features-from-Pose.ipynb) | [Contents](toc.ipynb) | [Index](index.ipynb) | [Visualization with the `PyMOLMover`](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/02.06-Visualization-and-PyMOL-Mover.ipynb) ><p><a href=\"https://colab.research.google.com/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/02.05-Protein-Geometry.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open in Google Colaboratory\"></a>"
   ]
  }
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