Title :
idock: A multithreaded virtual screening tool for flexible ligand docking
Author :
Li, Hongjian ; Leung, Kwong-Sak ; Wong, Man-Hon
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
AutoDock Vina is a competitive protein-ligand docking tool well known for its fast execution and high accuracy. Nevertheless, when docking a massive number of ligands, Vina has to be run multiple times, repeating receptor parsing and grid maps building over and over again. There are tremendous requests for revising Vina to reuse precalculated data and incorporate built-in support for virtual screening. Hence we developed idock, inheriting from AutoDock Vina the accurate scoring function and the efficient optimization algorithm, and significantly improving the fundamental implementation and numerical model for even faster execution. idock achieves a speedup of 3.3 in terms of CPU time and a speedup of 7.5 in terms of elapsed time on average. idock is free and open source, available at https://GitHub.com/HongjianLi/idock.
Keywords :
bioinformatics; biological techniques; computer graphics; grid computing; molecular biophysics; optimisation; proteins; public domain software; AutoDock Vina; flexible ligand docking; grid map building; idock; multithreaded virtual screening tool; open source; optimization algorithm; protein-ligand docking tool; receptor parsing; scoring function; Equations; Human immunodeficiency virus; Inhibitors; Instruction sets; Monte Carlo methods; Optimization; Proteins;
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2012 IEEE Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-1190-8
DOI :
10.1109/CIBCB.2012.6217214