• DocumentCode
    2319338
  • 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
  • fYear
    2012
  • fDate
    9-12 May 2012
  • Firstpage
    77
  • Lastpage
    84
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/CIBCB.2012.6217214
  • Filename
    6217214