• DocumentCode
    2737897
  • Title

    A Parallel Molecular Docking Approach Based on Message Passing Interface

  • Author

    Wang, Cun-Xin ; Chang, Shan ; Chen, Wei-zu ; Gong, Xin-qi ; Li, Chun-hua

  • Author_Institution
    Coll. of Life Sci. & Bioeng., Beijing Univ. of Technol., Beijing
  • Volume
    2
  • fYear
    2008
  • fDate
    6-8 Oct. 2008
  • Firstpage
    892
  • Lastpage
    895
  • Abstract
    Molecular docking technology is an important tool in computer-aided drug discovery and structure prediction for the protein-ligand complex. In this work, based on the analysis of the algorithm of the widely used the docking program AutoDock, we proposed a hybrid parallel method using the message passing interface (MPI) library. The modified programs were applied to dock the small molecule XK263 to its target HIV-1 protease with different number of processors. Docking results indicate that the parallel codes can make a good prediction of the XK263-protease complex structure. The obtained high quality parallel speedup and efficiency show the promising improvement of our method for future applications on structure prediction of protein complex and drug design.
  • Keywords
    application program interfaces; drugs; enzymes; medical computing; message passing; molecular biophysics; parallel algorithms; AutoDock; HIV-1 protease; XK263-protease; computer-aided drug discovery; message passing interface; parallel codes; parallel molecular docking; protein-ligand complex; Algorithm design and analysis; Biology computing; Biomedical engineering; Concurrent computing; Drugs; Educational institutions; Genetic algorithms; Libraries; Message passing; Pharmaceutical technology; Lamarckian genetic algorithm; MPI; Molecular docking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
  • Conference_Location
    Alexandria
  • Print_ISBN
    978-1-4244-2020-9
  • Electronic_ISBN
    978-1-4244-2021-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2008.4783736
  • Filename
    4783736