{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "*This notebook contains material from [PyRosetta](https://RosettaCommons.github.io/PyRosetta.notebooks);\n", "content is available [on Github](https://github.com/RosettaCommons/PyRosetta.notebooks.git).*" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "< [Docking](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/07.00-Protein-Docking.ipynb) | [Contents](toc.ipynb) | [Index](index.ipynb) | [Docking Moves in Rosetta](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/07.02-Docking-Moves-in-Rosetta.ipynb) >

\"Open" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Fast Fourier Transform Based Docking via ZDOCK\n", "Keywords: FFT, ZDOCK" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are several servers available based on fast Fourier transforms (FFTs). These servers are able to quickly carryout a global, grid-based matching searches.\n", "\n", "\n", "Go to the ZDOCK server (http://zdock.bu.edu) and upload trypsin (2PTN) and its inhibitor (1BA7 chain B) for docking. __Do this in groups in order to not overload the server.__ When the jobs have finished (typically under an hour), download the output file. You will have to also download a script for creating complexes from the output file. Use the script to generate the top five models. \n", " \n", "__Question:__ Are these models similar or diverse? How so? Are any of the models similar to the crystal structure of the bound complex (1AVW)?\n", " \n", "(Other servers include SmoothDock (http://structure.pitt.edu/servers/smoothdock), ClusPro (http://cluspro.bu.edu),, Haddock (http://haddock.chem.uu.nl), and GRAMM-X (http://vakser.bioinformatics.ku.edu/resources/gramm/grammx). Any of these provide global docking services to create models that might be useful for refinement by RosettaDock.)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "< [Docking](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/07.00-Protein-Docking.ipynb) | [Contents](toc.ipynb) | [Index](index.ipynb) | [Docking Moves in Rosetta](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/07.02-Docking-Moves-in-Rosetta.ipynb) >

\"Open" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.0" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 2 }