{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# PDB to NERDSS Converter Tutorial\n", "\n", "This notebook shows how to use the **modules** in `ionerdss.model_setup` to:\n", "\n", "1. Read or download a PDB/CIF file.\n", "2. Detect binding interfaces.\n", "3. Regularize a coarse‐grained model for NERDSS simulation.\n", "\n", "Make sure your `ionerdss` package is either **installed** or that the `ionerdss` folder is on `sys.path`." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "executionInfo": {} }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Imports successful!\n" ] } ], "source": [ "import sys\n", "import os\n", "\n", "# Go two levels up from docs/source/ to reach the project root\n", "sys.path.insert(0, os.path.abspath('../../'))\n", "\n", "from ionerdss.model_setup.protein_model import ProteinModel\n", "\n", "print('Imports successful!')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Create a `ProteinModel`\n", "Below, we demonstrate how to create a `ProteinModel` from a 4-letter PDB ID / PDB file / CIF file." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "repeated chains identify finished using the CIF file header: chain ID to molecular type mapping:\n", "{'A': 'A', 'B': 'A', 'A-2': 'A', 'B-2': 'A', 'C': 'B', 'C-2': 'B', 'D': 'C', 'D-2': 'C', 'E': 'D', 'F': 'D', 'G': 'D', 'E-2': 'D', 'F-2': 'D', 'G-2': 'D', 'H': 'E', 'H-2': 'E'}\n", "homogolous chains groups:\n", "[['A', 'B', 'A-2', 'B-2'], ['C', 'C-2'], ['D', 'D-2'], ['E', 'F', 'G', 'E-2', 'F-2', 'G-2'], ['H', 'H-2']]\n", "ProteinModel created!\n" ] } ], "source": [ "pdb_id = '../../data/7uhy.cif'\n", "model = ProteinModel(pdb_id)\n", "print('ProteinModel created!')" ] }, { "cell_type": "code", "execution_count": null, "id": "c787a0b9", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "94f688d4ec9b4923a5348e45c0b4bf29", "version_major": 2, "version_minor": 0 }, "text/plain": [] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0d28d6d22db144e6a1b15a770b27a398", "version_major": 2, "version_minor": 0 }, "text/plain": [ "NGLWidget()" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "try:\n", " import nglview as nv\n", "\n", " view = nv.show_file(pdb_id)\n", " view\n", "except ImportError:\n", " print(\"nglview is not installed. Please install it using: %pip install nglview\")\n", " print(\"This will not display the 3D structure of the protein model in the notebook.\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Detect Interfaces\n", "We can now detect binding interfaces in the structure.\n", "- `cutoff=0.35` is the maximum distance (in nm) for atom contacts.\n", "- `residue_cutoff=3` means we need at least 3 contacting residues.\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Interfaces detected!\n" ] } ], "source": [ "model.verbose = False # set to True for print interfaces\n", "model.detect_interfaces(cutoff=0.35, residue_cutoff=3)\n", "print('Interfaces detected!')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Visualize the Original Coarse‐Grained Structure\n", "This uses Matplotlib’s 3D capabilities to show each chain’s **Center of Mass** and **Interface** points.\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d35fed829e7347f1b47de4fe2a447b32", "version_major": 2, "version_minor": 0 }, "image/png": 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", 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Regularize & Build Reactions\n", "If the structure has repeated chains, we can align them so they share the same geometry.\n", "This also sets up Reaction objects if two chains can bind.\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Start parsing chain group / molecule template ['A', 'A-2', 'B', 'B-2']\n", "New mol template A is created.\n", "Start parsing chain / molecule A\n", "New molecule A is created.\n", "Parsing the interface C for molecule A; its binding partner is molecule C via its interface A\n", "new mol template B created for molecule C.\n", "New molecule C is created.\n", "Parsing signature: {'dA': np.float32(46.377213), 'dB': np.float32(42.58677), 'dAB': np.float32(3.2075667), 'thetaA': np.float64(122.37866696224347), 'thetaB': np.float64(151.6661567577198)}\n", "this is a new signature. added to list.\n", "the conjugated signature: {'dA': np.float32(42.58677), 'dB': np.float32(46.377213), 'dAB': np.float32(3.2075667), 'thetaA': np.float64(151.6661567577198), 'thetaB': np.float64(122.37866696224347)} is also added to the list.\n", "Creating new interface C for molecule A\n", "Creating new interface A for partner molecule C\n", "Parsing the interface E for molecule A; its binding partner is molecule E via its interface A\n", "new mol template D created for molecule E.\n", "New molecule E is created.\n", "Parsing signature: {'dA': np.float32(6.9757624), 'dB': np.float32(11.797143), 'dAB': np.float32(6.552778), 'thetaA': np.float64(101.91672103215576), 'thetaB': np.float64(69.55845182655408)}\n", "this is a new signature. added to list.\n", "the conjugated signature: {'dA': np.float32(11.797143), 'dB': np.float32(6.9757624), 'dAB': np.float32(6.552778), 'thetaA': np.float64(69.55845182655408), 'thetaB': np.float64(101.91672103215576)} is also added to the list.\n", "Creating new interface E for molecule A\n", "Creating new interface A for partner molecule E\n", "Parsing the interface B-2 for molecule A; its binding partner is molecule B-2 via its interface A\n", "molecule B-2 already has its template created.\n", "New molecule B-2 is created.\n", "Parsing signature: {'dA': np.float32(48.63179), 'dB': np.float32(48.046413), 'dAB': np.float32(6.377065), 'thetaA': np.float64(56.911159385333164), 'thetaB': np.float64(39.00604845718942)}\n", "this is a new signature. added to list.\n", "the conjugated signature: {'dA': np.float32(48.046413), 'dB': np.float32(48.63179), 'dAB': np.float32(6.377065), 'thetaA': np.float64(39.00604845718942), 'thetaB': np.float64(56.911159385333164)} is also added to the list.\n", "Creating new interface B-2 for molecule A\n", "Creating new interface A for partner molecule B-2\n", "Start parsing chain / molecule A-2\n", "New molecule A-2 is created.\n", "Parsing the interface B for molecule A-2; its binding partner is molecule B via its interface A-2\n", "molecule B already has its template created.\n", "New molecule B is created.\n", "Parsing signature: {'dA': np.float32(48.632126), 'dB': np.float32(48.045746), 'dAB': np.float32(6.377109), 'thetaA': np.float64(56.91080883635533), 'thetaB': np.float64(39.005229134269506)}\n", "this is an existing signature. using the existing interface template.\n", "using A - A1\n", "using A - A1\n", "Creating new interface B for molecule A-2\n", "Creating new interface A-2 for partner molecule B\n", "Parsing the interface E-2 for molecule A-2; its binding partner is molecule E-2 via its interface A-2\n", "molecule E-2 already has its template created.\n", "New molecule E-2 is created.\n", "Parsing signature: {'dA': np.float32(6.9752293), 'dB': np.float32(11.797252), 'dAB': np.float32(6.5527625), 'thetaA': np.float64(101.91699153171747), 'thetaB': np.float64(69.55871059284398)}\n", "this is an existing signature. using the existing interface template.\n", "using A - D1\n", "using D - A1\n", "Creating new interface E-2 for molecule A-2\n", "Creating new interface A-2 for partner molecule E-2\n", "Parsing the interface C-2 for molecule A-2; its binding partner is molecule C-2 via its interface A-2\n", "molecule C-2 already has its template created.\n", "New molecule C-2 is created.\n", "Parsing signature: {'dA': np.float32(46.37672), 'dB': np.float32(42.586582), 'dAB': np.float32(3.2075477), 'thetaA': np.float64(122.37822214601604), 'thetaB': np.float64(151.66650934452394)}\n", "this is an existing signature. using the existing interface template.\n", "using A - B1\n", "using B - A1\n", "Creating new interface C-2 for molecule A-2\n", "Creating new interface A-2 for partner molecule C-2\n", "Start parsing chain / molecule B\n", "This is an existing molecule B\n", "Parsing the interface F for molecule B; its binding partner is molecule F via its interface B\n", "molecule F already has its template created.\n", "New molecule F is created.\n", "Parsing signature: {'dA': np.float32(7.613407), 'dB': np.float32(12.652363), 'dAB': np.float32(4.5805655), 'thetaA': np.float64(135.86945020954346), 'thetaB': np.float64(45.22401784060494)}\n", "this is a new signature. added to list.\n", "the conjugated signature: {'dA': np.float32(12.652363), 'dB': np.float32(7.613407), 'dAB': np.float32(4.5805655), 'thetaA': np.float64(45.22401784060494), 'thetaB': np.float64(135.86945020954346)} is also added to the list.\n", "Creating new interface F for molecule B\n", "Creating new interface B for partner molecule F\n", "Parsing the interface D for molecule B; its binding partner is molecule D via its interface B\n", "new mol template C created for molecule D.\n", "New molecule D is created.\n", "Parsing signature: {'dA': np.float32(41.948658), 'dB': np.float32(26.3451), 'dAB': np.float32(2.1271687), 'thetaA': np.float64(148.5027961981794), 'thetaB': np.float64(124.85481701027788)}\n", "this is a new signature. added to list.\n", "the conjugated signature: {'dA': np.float32(26.3451), 'dB': np.float32(41.948658), 'dAB': np.float32(2.1271687), 'thetaA': np.float64(124.85481701027788), 'thetaB': np.float64(148.5027961981794)} is also added to the list.\n", "Creating new interface D for molecule B\n", "Creating new interface B for partner molecule D\n", "Parsing the interface A-2 for molecule B; its binding partner is molecule A-2 via its interface B\n", "molecule A-2 already has its template created.\n", "molecule A-2 is already created.\n", "Parsing signature: {'dA': np.float32(48.045746), 'dB': np.float32(48.632126), 'dAB': np.float32(6.377109), 'thetaA': np.float64(39.005229134269506), 'thetaB': np.float64(56.91080883635533)}\n", "this is an existing signature. using the existing interface template.\n", "using A - A1\n", "using A - A1\n", "Interface A-2 already exists for molecule B\n", "Interface B already exists for molecule A-2\n", "Start parsing chain / molecule B-2\n", "This is an existing molecule B-2\n", "Parsing the interface A for molecule B-2; its binding partner is molecule A via its interface B-2\n", "molecule A already has its template created.\n", "molecule A is already created.\n", "Parsing signature: {'dA': np.float32(48.046413), 'dB': np.float32(48.63179), 'dAB': np.float32(6.377065), 'thetaA': np.float64(39.00604845718942), 'thetaB': np.float64(56.911159385333164)}\n", "this is an existing signature. using the existing interface template.\n", "using A - A1\n", "using A - A1\n", "Interface A already exists for molecule B-2\n", "Interface B-2 already exists for molecule A\n", "Parsing the interface F-2 for molecule B-2; its binding partner is molecule F-2 via its interface B-2\n", "molecule F-2 already has its template created.\n", "New molecule F-2 is created.\n", "Parsing signature: {'dA': np.float32(7.6127915), 'dB': np.float32(12.65232), 'dAB': np.float32(4.580552), 'thetaA': np.float64(135.87092162762914), 'thetaB': np.float64(45.22323365857926)}\n", "this is an existing signature. using the existing interface template.\n", "using A - D2\n", "using D - A2\n", "Creating new interface F-2 for molecule B-2\n", "Creating new interface B-2 for partner molecule F-2\n", "Parsing the interface D-2 for molecule B-2; its binding partner is molecule D-2 via its interface B-2\n", "molecule D-2 already has its template created.\n", "New molecule D-2 is created.\n", "Parsing signature: {'dA': np.float32(41.94855), 'dB': np.float32(26.34492), 'dAB': np.float32(2.1271708), 'thetaA': np.float64(148.50359367301309), 'thetaB': np.float64(124.85621535003247)}\n", "this is an existing signature. using the existing interface template.\n", "using A - C1\n", "using C - A2\n", "Creating new interface D-2 for molecule B-2\n", "Creating new interface B-2 for partner molecule D-2\n", "Start parsing chain group / molecule template ['C', 'C-2']\n", "This is an existed mol template B\n", "Start parsing chain / molecule C\n", "This is an existing molecule C\n", "Parsing the interface A for molecule C; its binding partner is molecule A via its interface C\n", "molecule A already has its template created.\n", "molecule A is already created.\n", "Parsing signature: {'dA': np.float32(42.58677), 'dB': np.float32(46.377213), 'dAB': np.float32(3.2075667), 'thetaA': np.float64(151.6661567577198), 'thetaB': np.float64(122.37866696224347)}\n", "this is an existing signature. using the existing interface template.\n", "using B - A1\n", "using A - B1\n", "Interface A already exists for molecule C\n", "Interface C already exists for molecule A\n", "Parsing the interface G for molecule C; its binding partner is molecule G via its interface C\n", "molecule G already has its template created.\n", "New molecule G is created.\n", "Parsing signature: {'dA': np.float32(18.607681), 'dB': np.float32(9.386041), 'dAB': np.float32(3.200052), 'thetaA': np.float64(80.69197123111742), 'thetaB': np.float64(53.99981062989752)}\n", "this is a new signature. added to list.\n", "the conjugated signature: {'dA': np.float32(9.386041), 'dB': np.float32(18.607681), 'dAB': np.float32(3.200052), 'thetaA': np.float64(53.99981062989752), 'thetaB': np.float64(80.69197123111742)} is also added to the list.\n", "Creating new interface G for molecule C\n", "Creating new interface C for partner molecule G\n", "Parsing the interface D for molecule C; its binding partner is molecule D via its interface C\n", "molecule D already has its template created.\n", "molecule D is already created.\n", "Parsing signature: {'dA': np.float32(54.41141), 'dB': np.float32(25.676706), 'dAB': np.float32(6.781969), 'thetaA': np.float64(65.73937106625195), 'thetaB': np.float64(33.492385898921654)}\n", "this is a new signature. added to list.\n", "the conjugated signature: {'dA': np.float32(25.676706), 'dB': np.float32(54.41141), 'dAB': np.float32(6.781969), 'thetaA': np.float64(33.492385898921654), 'thetaB': np.float64(65.73937106625195)} is also added to the list.\n", "Creating new interface D for molecule C\n", "Creating new interface C for partner molecule D\n", "Start parsing chain / molecule C-2\n", "This is an existing molecule C-2\n", "Parsing the interface G-2 for molecule C-2; its binding partner is molecule G-2 via its interface C-2\n", "molecule G-2 already has its template created.\n", "New molecule G-2 is created.\n", "Parsing signature: {'dA': np.float32(18.607204), 'dB': np.float32(9.386181), 'dAB': np.float32(3.200033), 'thetaA': np.float64(80.6909157279511), 'thetaB': np.float64(53.99857377953435)}\n", "this is an existing signature. using the existing interface template.\n", "using B - D1\n", "using D - B1\n", "Creating new interface G-2 for molecule C-2\n", "Creating new interface C-2 for partner molecule G-2\n", "Parsing the interface A-2 for molecule C-2; its binding partner is molecule A-2 via its interface C-2\n", "molecule A-2 already has its template created.\n", "molecule A-2 is already created.\n", "Parsing signature: {'dA': np.float32(42.586582), 'dB': np.float32(46.37672), 'dAB': np.float32(3.2075477), 'thetaA': np.float64(151.66650934452394), 'thetaB': np.float64(122.37822214601604)}\n", "this is an existing signature. using the existing interface template.\n", "using B - A1\n", "using A - B1\n", "Interface A-2 already exists for molecule C-2\n", "Interface C-2 already exists for molecule A-2\n", "Parsing the interface D-2 for molecule C-2; its binding partner is molecule D-2 via its interface C-2\n", "molecule D-2 already has its template created.\n", "molecule D-2 is already created.\n", "Parsing signature: {'dA': np.float32(54.411045), 'dB': np.float32(25.676828), 'dAB': np.float32(6.781994), 'thetaA': np.float64(65.73949468127604), 'thetaB': np.float64(33.49221261451965)}\n", "this is an existing signature. using the existing interface template.\n", "using B - C1\n", "using C - B1\n", "Creating new interface D-2 for molecule C-2\n", "Creating new interface C-2 for partner molecule D-2\n", "Start parsing chain group / molecule template ['D', 'D-2']\n", "This is an existed mol template C\n", "Start parsing chain / molecule D\n", "This is an existing molecule D\n", "Parsing the interface B for molecule D; its binding partner is molecule B via its interface D\n", "molecule B already has its template created.\n", "molecule B is already created.\n", "Parsing signature: {'dA': np.float32(26.3451), 'dB': np.float32(41.948658), 'dAB': np.float32(2.1271687), 'thetaA': np.float64(124.85481701027788), 'thetaB': np.float64(148.5027961981794)}\n", "this is an existing signature. using the existing interface template.\n", "using C - A2\n", "using A - C1\n", "Interface B already exists for molecule D\n", "Interface D already exists for molecule B\n", "Parsing the interface C for molecule D; its binding partner is molecule C via its interface D\n", "molecule C already has its template created.\n", "molecule C is already created.\n", "Parsing signature: {'dA': np.float32(25.676706), 'dB': np.float32(54.41141), 'dAB': np.float32(6.781969), 'thetaA': np.float64(33.492385898921654), 'thetaB': np.float64(65.73937106625195)}\n", "this is an existing signature. using the existing interface template.\n", "using C - B1\n", "using B - C1\n", "Interface C already exists for molecule D\n", "Interface D already exists for molecule C\n", "Parsing the interface H for molecule D; its binding partner is molecule H via its interface D\n", "new mol template E created for molecule H.\n", "New molecule H is created.\n", "Parsing signature: {'dA': np.float32(32.076443), 'dB': np.float32(9.301221), 'dAB': np.float32(1.0779481), 'thetaA': np.float64(143.9211393734843), 'thetaB': np.float64(95.35108819925378)}\n", "this is a new signature. added to list.\n", "the conjugated signature: {'dA': np.float32(9.301221), 'dB': np.float32(32.076443), 'dAB': np.float32(1.0779481), 'thetaA': np.float64(95.35108819925378), 'thetaB': np.float64(143.9211393734843)} is also added to the list.\n", "Creating new interface H for molecule D\n", "Creating new interface D for partner molecule H\n", "Parsing the interface G for molecule D; its binding partner is molecule G via its interface D\n", "molecule G already has its template created.\n", "molecule G is already created.\n", "Parsing signature: {'dA': np.float32(34.45588), 'dB': np.float32(25.684935), 'dAB': np.float32(7.688339), 'thetaA': np.float64(20.665825070595513), 'thetaB': np.float64(16.843049772735625)}\n", "this is a new signature. added to list.\n", "the conjugated signature: {'dA': np.float32(25.684935), 'dB': np.float32(34.45588), 'dAB': np.float32(7.688339), 'thetaA': np.float64(16.843049772735625), 'thetaB': np.float64(20.665825070595513)} is also added to the list.\n", "Creating new interface G for molecule D\n", "Creating new interface D for partner molecule G\n", "Start parsing chain / molecule D-2\n", "This is an existing molecule D-2\n", "Parsing the interface B-2 for molecule D-2; its binding partner is molecule B-2 via its interface D-2\n", "molecule B-2 already has its template created.\n", "molecule B-2 is already created.\n", "Parsing signature: {'dA': np.float32(26.34492), 'dB': np.float32(41.94855), 'dAB': np.float32(2.1271708), 'thetaA': np.float64(124.85621535003247), 'thetaB': np.float64(148.50359367301309)}\n", "this is an existing signature. using the existing interface template.\n", "using C - A2\n", "using A - C1\n", "Interface B-2 already exists for molecule D-2\n", "Interface D-2 already exists for molecule B-2\n", "Parsing the interface H-2 for molecule D-2; its binding partner is molecule H-2 via its interface D-2\n", "molecule H-2 already has its template created.\n", "New molecule H-2 is created.\n", "Parsing signature: {'dA': np.float32(32.076633), 'dB': np.float32(9.301207), 'dAB': np.float32(1.0779499), 'thetaA': np.float64(143.92194545970375), 'thetaB': np.float64(95.3514620740463)}\n", "this is an existing signature. using the existing interface template.\n", "using C - E1\n", "using E - C1\n", "Creating new interface H-2 for molecule D-2\n", "Creating new interface D-2 for partner molecule H-2\n", "Parsing the interface G-2 for molecule D-2; its binding partner is molecule G-2 via its interface D-2\n", "molecule G-2 already has its template created.\n", "molecule G-2 is already created.\n", "Parsing signature: {'dA': np.float32(34.456055), 'dB': np.float32(25.684738), 'dAB': np.float32(7.688359), 'thetaA': np.float64(20.6654670271735), 'thetaB': np.float64(16.8425429540915)}\n", "this is an existing signature. using the existing interface template.\n", "using C - D1\n", "using D - C1\n", "Creating new interface G-2 for molecule D-2\n", "Creating new interface D-2 for partner molecule G-2\n", "Parsing the interface C-2 for molecule D-2; its binding partner is molecule C-2 via its interface D-2\n", "molecule C-2 already has its template created.\n", "molecule C-2 is already created.\n", "Parsing signature: {'dA': np.float32(25.676828), 'dB': np.float32(54.411045), 'dAB': np.float32(6.781994), 'thetaA': np.float64(33.49221261451965), 'thetaB': np.float64(65.73949468127604)}\n", "this is an existing signature. using the existing interface template.\n", "using C - B1\n", "using B - C1\n", "Interface C-2 already exists for molecule D-2\n", "Interface D-2 already exists for molecule C-2\n", "Start parsing chain group / molecule template ['E', 'E-2', 'F', 'F-2', 'G', 'G-2']\n", "This is an existed mol template D\n", "Start parsing chain / molecule E\n", "This is an existing molecule E\n", "Parsing the interface A for molecule E; its binding partner is molecule A via its interface E\n", "molecule A already has its template created.\n", "molecule A is already created.\n", "Parsing signature: {'dA': np.float32(11.797143), 'dB': np.float32(6.9757624), 'dAB': np.float32(6.552778), 'thetaA': np.float64(69.55845182655408), 'thetaB': np.float64(101.91672103215576)}\n", "this is an existing signature. using the existing interface template.\n", "using D - A1\n", "using A - D1\n", "Interface A already exists for molecule E\n", "Interface E already exists for molecule A\n", "Start parsing chain / molecule E-2\n", "This is an existing molecule E-2\n", "Parsing the interface A-2 for molecule E-2; its binding partner is molecule A-2 via its interface E-2\n", "molecule A-2 already has its template created.\n", "molecule A-2 is already created.\n", "Parsing signature: {'dA': np.float32(11.797252), 'dB': np.float32(6.9752293), 'dAB': np.float32(6.5527625), 'thetaA': np.float64(69.55871059284398), 'thetaB': np.float64(101.91699153171747)}\n", "this is an existing signature. using the existing interface template.\n", "using D - A1\n", "using A - D1\n", "Interface A-2 already exists for molecule E-2\n", "Interface E-2 already exists for molecule A-2\n", "Start parsing chain / molecule F\n", "This is an existing molecule F\n", "Parsing the interface B for molecule F; its binding partner is molecule B via its interface F\n", "molecule B already has its template created.\n", "molecule B is already created.\n", "Parsing signature: {'dA': np.float32(12.652363), 'dB': np.float32(7.613407), 'dAB': np.float32(4.5805655), 'thetaA': np.float64(45.22401784060494), 'thetaB': np.float64(135.86945020954346)}\n", "this is an existing signature. using the existing interface template.\n", "using D - A2\n", "using A - D2\n", "Interface B already exists for molecule F\n", "Interface F already exists for molecule B\n", "Start parsing chain / molecule F-2\n", "This is an existing molecule F-2\n", "Parsing the interface B-2 for molecule F-2; its binding partner is molecule B-2 via its interface F-2\n", "molecule B-2 already has its template created.\n", "molecule B-2 is already created.\n", "Parsing signature: {'dA': np.float32(12.65232), 'dB': np.float32(7.6127915), 'dAB': np.float32(4.580552), 'thetaA': np.float64(45.22323365857926), 'thetaB': np.float64(135.87092162762914)}\n", "this is an existing signature. using the existing interface template.\n", "using D - A2\n", "using A - D2\n", "Interface B-2 already exists for molecule F-2\n", "Interface F-2 already exists for molecule B-2\n", "Start parsing chain / molecule G\n", "This is an existing molecule G\n", "Parsing the interface C for molecule G; its binding partner is molecule C via its interface G\n", "molecule C already has its template created.\n", "molecule C is already created.\n", "Parsing signature: {'dA': np.float32(9.386041), 'dB': np.float32(18.607681), 'dAB': np.float32(3.200052), 'thetaA': np.float64(53.99981062989752), 'thetaB': np.float64(80.69197123111742)}\n", "this is an existing signature. using the existing interface template.\n", "using D - B1\n", "using B - D1\n", "Interface C already exists for molecule G\n", "Interface G already exists for molecule C\n", "Parsing the interface D for molecule G; its binding partner is molecule D via its interface G\n", "molecule D already has its template created.\n", "molecule D is already created.\n", "Parsing signature: {'dA': np.float32(25.684935), 'dB': np.float32(34.45588), 'dAB': np.float32(7.688339), 'thetaA': np.float64(16.843049772735625), 'thetaB': np.float64(20.665825070595513)}\n", "this is an existing signature. using the existing interface template.\n", "using D - C1\n", "using C - D1\n", "Interface D already exists for molecule G\n", "Interface G already exists for molecule D\n", "Start parsing chain / molecule G-2\n", "This is an existing molecule G-2\n", "Parsing the interface C-2 for molecule G-2; its binding partner is molecule C-2 via its interface G-2\n", "molecule C-2 already has its template created.\n", "molecule C-2 is already created.\n", "Parsing signature: {'dA': np.float32(9.386181), 'dB': np.float32(18.607204), 'dAB': np.float32(3.200033), 'thetaA': np.float64(53.99857377953435), 'thetaB': np.float64(80.6909157279511)}\n", "this is an existing signature. using the existing interface template.\n", "using D - B1\n", "using B - D1\n", "Interface C-2 already exists for molecule G-2\n", "Interface G-2 already exists for molecule C-2\n", "Parsing the interface D-2 for molecule G-2; its binding partner is molecule D-2 via its interface G-2\n", "molecule D-2 already has its template created.\n", "molecule D-2 is already created.\n", "Parsing signature: {'dA': np.float32(25.684738), 'dB': np.float32(34.456055), 'dAB': np.float32(7.688359), 'thetaA': np.float64(16.8425429540915), 'thetaB': np.float64(20.6654670271735)}\n", "this is an existing signature. using the existing interface template.\n", "using D - C1\n", "using C - D1\n", "Interface D-2 already exists for molecule G-2\n", "Interface G-2 already exists for molecule D-2\n", "Start parsing chain group / molecule template ['H', 'H-2']\n", "This is an existed mol template E\n", "Start parsing chain / molecule H\n", "This is an existing molecule H\n", "Parsing the interface D for molecule H; its binding partner is molecule D via its interface H\n", "molecule D already has its template created.\n", "molecule D is already created.\n", "Parsing signature: {'dA': np.float32(9.301221), 'dB': np.float32(32.076443), 'dAB': np.float32(1.0779481), 'thetaA': np.float64(95.35108819925378), 'thetaB': np.float64(143.9211393734843)}\n", "this is an existing signature. using the existing interface template.\n", "using E - C1\n", "using C - E1\n", "Interface D already exists for molecule H\n", "Interface H already exists for molecule D\n", "Start parsing chain / molecule H-2\n", "This is an existing molecule H-2\n", "Parsing the interface D-2 for molecule H-2; its binding partner is molecule D-2 via its interface H-2\n", "molecule D-2 already has its template created.\n", "molecule D-2 is already created.\n", "Parsing signature: {'dA': np.float32(9.301207), 'dB': np.float32(32.076633), 'dAB': np.float32(1.0779499), 'thetaA': np.float64(95.3514620740463), 'thetaB': np.float64(143.92194545970375)}\n", "this is an existing signature. using the existing interface template.\n", "using E - C1\n", "using C - E1\n", "Interface D-2 already exists for molecule H-2\n", "Interface H-2 already exists for molecule D-2\n", "Reaction:\n", "A(C) + C(A) <-> A(C!1).C(A!1)\n", "Angles:\n", "['1.005682', '0.494519', '-0.287440', '-2.549532', '-2.656024']\n", "Sigma:\n", "3.2075667\n", "c1:\n", "[265.0377 238.84146 186.50989]\n", "p1:\n", "[254.24953 281.45352 201.2975 ]\n", "c2:\n", "[251.57582 306.49225 232.10927]\n", "p2:\n", "[255.19028 280.86673 198.28766]\n", "My Reaction Template:\n", "A(B1, C1) + B(A1) <-> A(B1!1, C1).B(A1!1)\n", "Template Angles:\n", "['1.005682', '0.494519', '-0.287440', '-2.549532', '-2.656024']\n", "Template Sigma:\n", "3.2075667\n", "Reaction:\n", "A(E) + E(A) <-> A(E!1).E(A!1)\n", "Angles:\n", "['1.362810', '1.927569', '0.403976', '2.978093', '-1.907003']\n", "Sigma:\n", "6.552778\n", "c1:\n", "[265.0377 238.84146 186.50989]\n", "p1:\n", "[261.54587 244.74207 187.79492]\n", "c2:\n", "[263.9826 250.82404 173.89598]\n", "p2:\n", "[259.50116 243.24866 181.7511 ]\n", "My Reaction Template:\n", "A(D1, D2, C1) + D(A1, A2, B1, C1) <-> A(D1!1, D2, C1).D(A1!1, A2, B1, C1)\n", "Template Angles:\n", "['1.362810', '1.927569', '0.403976', '2.978093', '-1.907003']\n", "Template Sigma:\n", "6.552778\n", "Reaction:\n", "A(B-2) + B-2(A) <-> A(B-2!1).B-2(A!1)\n", "Angles:\n", "['2.143179', '2.558326', '-1.782555', '-1.968693', '-0.198659']\n", "Sigma:\n", "8.046921\n", "c1:\n", "[265.0377 238.84146 186.50989]\n", "p1:\n", "[294.77118 216.4574 217.81363]\n", "c2:\n", "[257.0334 178.82031 233.38245]\n", "p2:\n", "[292.72736 209.71826 221.70718]\n", "My Reaction Template:\n", "A(A1) + A(A1) <-> A(A1!1).A(A1!1)\n", "Template Angles:\n", "['2.143179', '2.558326', '-1.782555', '-1.968693', '-0.198659']\n", "Template Sigma:\n", "8.046921\n", "Reaction:\n", "A-2(B) + B(A-2) <-> A-2(B!1).B(A-2!1)\n", "Angles:\n", "['2.140987', '2.560413', '-1.780219', '-1.963620', '-0.204211']\n", "Sigma:\n", "8.038677\n", "c1:\n", "[154.36737 180.56342 186.50989]\n", "p1:\n", "[124.63379 202.9475 217.81357]\n", "c2:\n", "[162.3722 240.58527 233.38223]\n", "p2:\n", "[126.68524 209.6882 221.68329]\n", "My Reaction Template:\n", "A(A1) + A(A1) <-> A(A1!1).A(A1!1)\n", "Template Angles:\n", "['2.143179', '2.558326', '-1.782555', '-1.968693', '-0.198659']\n", "Template Sigma:\n", "8.046921\n", "Reaction:\n", "A-2(E-2) + E-2(A-2) <-> A-2(E-2!1).E-2(A-2!1)\n", "Angles:\n", "['1.362781', '1.927546', '0.403989', '2.978116', '-1.907012']\n", "Sigma:\n", "6.552831\n", "c1:\n", "[154.36737 180.56342 186.50989]\n", "p1:\n", "[157.85919 174.66281 187.79492]\n", "c2:\n", "[155.42245 168.58104 173.89598]\n", "p2:\n", "[159.90387 176.15643 181.75108]\n", "My Reaction Template:\n", "A(D1, D2, C1) + D(A1, A2, B1, C1) <-> A(D1!1, D2, C1).D(A1!1, A2, B1, C1)\n", "Template Angles:\n", "['1.362810', '1.927569', '0.403976', '2.978093', '-1.907003']\n", "Template Sigma:\n", "6.552778\n", "Reaction:\n", "A-2(C-2) + C-2(A-2) <-> A-2(C-2!1).C-2(A-2!1)\n", "Angles:\n", "['1.005673', '0.494496', '-0.287400', '-2.549588', '-2.656055']\n", "Sigma:\n", "3.2074935\n", "c1:\n", "[154.36737 180.56342 186.50989]\n", "p1:\n", "[165.15544 137.95135 201.2975 ]\n", "c2:\n", "[167.82928 112.9126 232.10927]\n", "p2:\n", "[164.21481 138.53818 198.2877 ]\n", "My Reaction Template:\n", "A(B1, C1) + B(A1) <-> A(B1!1, C1).B(A1!1)\n", "Template Angles:\n", "['1.005682', '0.494519', '-0.287440', '-2.549532', '-2.656024']\n", "Template Sigma:\n", "3.2075667\n", "Reaction:\n", "B(F) + F(B) <-> B(F!1).F(B!1)\n", "Angles:\n", "['0.755718', '1.860954', '-1.707306', '-0.791969', '1.559477']\n", "Sigma:\n", "5.9448433\n", "c1:\n", "[162.3722 240.58527 233.38223]\n", "p1:\n", "[167.93103 241.73257 228.30814]\n", "c2:\n", "[167.53372 251.10156 240.57709]\n", "p2:\n", "[163.3157 244.81378 230.44029]\n", "My Reaction Template:\n", "A(D2, D1) + D(A2, A1, B1, C1) <-> A(D2!1, D1).D(A2!1, A1, B1, C1)\n", "Template Angles:\n", "['0.755718', '1.860954', '-1.707306', '-0.791969', '1.559477']\n", "Template Sigma:\n", "5.9448433\n", "Reaction:\n", "B(D) + D(B) <-> B(D!1).D(B!1)\n", "Angles:\n", "['1.381483', '0.464659', '-1.889826', '2.306218', '-2.697474']\n", "Sigma:\n", "2.8676946\n", "c1:\n", "[162.3722 240.58527 233.38223]\n", "p1:\n", "[160.84015 278.48657 215.47043]\n", "c2:\n", "[177.9324 289.0191 202.65912]\n", "p2:\n", "[158.06284 278.04077 216.02852]\n", "My Reaction Template:\n", "A(C1, B1, D1) + C(A2) <-> A(C1!1, B1, D1).C(A2!1)\n", "Template Angles:\n", "['1.381483', '0.464659', '-1.889826', '2.306218', '-2.697474']\n", "Template Sigma:\n", "2.8676946\n", "Reaction:\n", "B-2(F-2) + F-2(B-2) <-> B-2(F-2!1).F-2(B-2!1)\n", "Angles:\n", "['0.756121', '1.861579', '-1.706619', '-0.791223', '1.559194']\n", "Sigma:\n", "5.945965\n", "c1:\n", "[257.0334 178.82031 233.38245]\n", "p1:\n", "[251.4759 177.67578 228.30621]\n", "c2:\n", "[251.87115 168.30333 240.57712]\n", "p2:\n", "[256.08896 174.5897 230.43938]\n", "My Reaction Template:\n", "A(D2, D1) + D(A2, A1, B1, C1) <-> A(D2!1, D1).D(A2!1, A1, B1, C1)\n", "Template Angles:\n", "['0.755718', '1.860954', '-1.707306', '-0.791969', '1.559477']\n", "Template Sigma:\n", "5.9448433\n", "Reaction:\n", "B-2(D-2) + D-2(B-2) <-> B-2(D-2!1).D-2(B-2!1)\n", "Angles:\n", "['1.381706', '0.462327', '-1.884084', '2.293813', '-2.707834']\n", "Sigma:\n", "2.8679001\n", "c1:\n", "[257.0334 178.82031 233.38245]\n", "p1:\n", "[258.56647 140.92635 215.45522]\n", "c2:\n", "[241.47261 130.38583 202.65912]\n", "p2:\n", "[261.34216 141.36417 216.02852]\n", "My Reaction Template:\n", "A(C1, B1, D1) + C(A2) <-> A(C1!1, B1, D1).C(A2!1)\n", "Template Angles:\n", "['1.381483', '0.464659', '-1.889826', '2.306218', '-2.697474']\n", "Template Sigma:\n", "2.8676946\n", "Reaction:\n", "C(G) + G(C) <-> C(G!1).G(C!1)\n", "Angles:\n", "['1.774031', '2.146613', '-1.242162', '-1.421457', '0.373421']\n", "Sigma:\n", "2.8271708\n", "c1:\n", "[251.57582 306.49225 232.10927]\n", "p1:\n", "[235.5489 297.20303 230.35022]\n", "c2:\n", "[236.89151 307.03363 225.19797]\n", "p2:\n", "[233.81628 299.228 229.40659]\n", "My Reaction Template:\n", "B(D1) + D(B1, A1, A2) <-> B(D1!1).D(B1!1, A1, A2)\n", "Template Angles:\n", "['1.774031', '2.146613', '-1.242162', '-1.421457', '0.373421']\n", "Template Sigma:\n", "2.8271708\n", "Reaction:\n", "C(D) + D(C) <-> C(D!1).D(C!1)\n", "Angles:\n", "['1.994224', '2.557040', '-2.968996', '0.028420', '2.945889']\n", "Sigma:\n", "6.781969\n", "c1:\n", "[251.57582 306.49225 232.10927]\n", "p1:\n", "[209.21756 292.72357 200.85542]\n", "c2:\n", "[177.9324 289.0191 202.65912]\n", "p2:\n", "[203.39258 291.94672 204.24086]\n", "My Reaction Template:\n", "B(C1) + C(B1) <-> B(C1!1).C(B1!1)\n", "Template Angles:\n", "['1.994224', '2.557040', '-2.968996', '0.028420', '2.945889']\n", "Template Sigma:\n", "6.781969\n", "Reaction:\n", "C-2(G-2) + G-2(C-2) <-> C-2(G-2!1).G-2(C-2!1)\n", "Angles:\n", "['1.773549', '2.146643', '-1.243381', '-1.423627', '0.374929']\n", "Sigma:\n", "2.8267574\n", "c1:\n", "[167.82928 112.9126 232.10927]\n", "p1:\n", "[183.8562 122.20181 230.35022]\n", "c2:\n", "[182.51346 112.37132 225.19833]\n", "p2:\n", "[185.58835 120.17546 229.40994]\n", "My Reaction Template:\n", "B(D1) + D(B1, A1, A2) <-> B(D1!1).D(B1!1, A1, A2)\n", "Template Angles:\n", "['1.774031', '2.146613', '-1.242162', '-1.421457', '0.373421']\n", "Template Sigma:\n", "2.8271708\n", "Reaction:\n", "C-2(D-2) + D-2(C-2) <-> C-2(D-2!1).D-2(C-2!1)\n", "Angles:\n", "['1.994220', '2.557035', '-2.969002', '0.028433', '2.945883']\n", "Sigma:\n", "6.7819066\n", "c1:\n", "[167.82928 112.9126 232.10927]\n", "p1:\n", "[210.18753 126.681335 200.85542 ]\n", "c2:\n", "[241.47261 130.38583 202.65912]\n", "p2:\n", "[216.01244 127.45822 204.24086]\n", "My Reaction Template:\n", "B(C1) + C(B1) <-> B(C1!1).C(B1!1)\n", "Template Angles:\n", "['1.994224', '2.557040', '-2.968996', '0.028420', '2.945889']\n", "Template Sigma:\n", "6.781969\n", "Reaction:\n", "D(H) + H(D) <-> D(H!1).H(D!1)\n", "Angles:\n", "['0.629695', '1.477402', '-0.403433', 'nan', '-0.479292']\n", "Sigma:\n", "1.0779481\n", "c1:\n", "[177.9324 289.0191 202.65912]\n", "p1:\n", "[166.30919 305.45032 177.68285]\n", "c2:\n", "[165.79292 308.55106 186.39626]\n", "p2:\n", "[167.09087 304.77682 177.99487]\n", "My Reaction Template:\n", "C(E1) + E(C1) <-> C(E1!1).E(C1!1)\n", "Template Angles:\n", "['0.629695', '1.477402', '-0.403433', 'nan', '-0.479292']\n", "Template Sigma:\n", "1.0779481\n", "Reaction:\n", "D(G) + G(D) <-> D(G!1).G(D!1)\n", "Angles:\n", "['2.826745', '2.850471', '0.299006', '2.727712', '-0.910883']\n", "Sigma:\n", "7.725484\n", "c1:\n", "[177.9324 289.0191 202.65912]\n", "p1:\n", "[205.173 297.9995 221.75125]\n", "c2:\n", "[236.89151 307.03363 225.19797]\n", "p2:\n", "[211.96295 300.97998 223.9184 ]\n", "My Reaction Template:\n", "C(D1) + D(C1, A1, A2) <-> C(D1!1).D(C1!1, A1, A2)\n", "Template Angles:\n", "['2.826745', '2.850471', '0.299006', '2.727712', '-0.910883']\n", "Template Sigma:\n", "7.725484\n", "Reaction:\n", "D-2(H-2) + H-2(D-2) <-> D-2(H-2!1).H-2(D-2!1)\n", "Angles:\n", "['0.629687', '1.477397', '-0.403376', 'nan', '-0.479240']\n", "Sigma:\n", "1.0780017\n", "c1:\n", "[241.47261 130.38583 202.65912]\n", "p1:\n", "[253.09583 113.95465 177.68282]\n", "c2:\n", "[253.61208 110.854004 186.39626 ]\n", "p2:\n", "[252.31413 114.628204 177.99486 ]\n", "My Reaction Template:\n", "C(E1) + E(C1) <-> C(E1!1).E(C1!1)\n", "Template Angles:\n", "['0.629695', '1.477402', '-0.403433', 'nan', '-0.479292']\n", "Template Sigma:\n", "1.0779481\n", "Reaction:\n", "D-2(G-2) + G-2(D-2) <-> D-2(G-2!1).G-2(D-2!1)\n", "Angles:\n", "['2.826722', '2.851094', '0.297157', '2.725766', '-0.907695']\n", "Sigma:\n", "7.724506\n", "c1:\n", "[241.47261 130.38583 202.65912]\n", "p1:\n", "[214.23201 121.405426 221.75125 ]\n", "c2:\n", "[182.51346 112.37132 225.19833]\n", "p2:\n", "[207.44089 118.42906 223.91687]\n", "My Reaction Template:\n", "C(D1) + D(C1, A1, A2) <-> C(D1!1).D(C1!1, A1, A2)\n", "Template Angles:\n", "['2.826745', '2.850471', '0.299006', '2.727712', '-0.910883']\n", "Template Sigma:\n", "7.725484\n", "After regularization:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fbdb18dc4b7a40b3a0a1d3be8aa5e6de", "version_major": 2, "version_minor": 0 }, "image/png": 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\n", " " ], "text/plain": [ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "model.regularize_molecules(dist_thresh_intra=3.5, dist_thresh_inter=3.5, angle_thresh=25)\n", "\n", "print('After regularization:')\n", "model.plot_regularized_structure()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5. Saving a Coarse-Grained Structure & PyMOL Script\n", "You can export the coarse-grained data as a `.cif` file, plus a PyMOL script that displays spheres for COM and interface points.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "model.save_regularized_coarse_grained_structure(\n", " output_cif='regularized_coarse_grained.cif',\n", " pymol_script='visualize_regularized_coarse.pml'\n", ")\n", "print('Coarse-grained structure saved, along with a PyMOL script!')\n", "print('You can visualize the coarse-grained structure by running:')\n", "print('pymol visualize_regularized_coarse.pml')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 6. (Optional) Binding Energy with PyRosetta\n", "If PyRosetta is installed, you can attempt a rough binding energy calculation for any chain pairs.\n", "This reports results in Rosetta Energy Units (REU).\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "model.calculate_binding_energies()" ] }, { "cell_type": "markdown", "id": "9a478b0a", "metadata": {}, "source": [ "## 7. Generates the NERDSS Input files" ] }, { "cell_type": "code", "execution_count": 7, "id": "4aa224fb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Generated .mol file: A.mol\n", "Generated .mol file: B.mol\n", "Generated .mol file: D.mol\n", "Generated .mol file: C.mol\n", "Generated .mol file: E.mol\n", "Generated .inp file: parms.inp\n", "All NERDSS-ready files generated successfully!\n" ] } ], "source": [ "model.generate_nerdss_ready_files()" ] } ], "metadata": { "kernelspec": { "display_name": "io_nerdss", "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": "3.9.20" }, "name": "pdb_to_nerdss_tutorial.ipynb" }, "nbformat": 4, "nbformat_minor": 5 }