• DocumentCode
    2663469
  • Title

    Large Scale Deployment of Molecular Docking Application on Computational Grid infrastructures for Combating Malaria

  • Author

    Kasam, Vinod ; Salzemann, Jean ; Jacq, Nicolas ; Mass, Astrid ; Breton, Vincent

  • Author_Institution
    Lab. de Phys. Corpusculaire, Aubiere
  • fYear
    2007
  • fDate
    14-17 May 2007
  • Firstpage
    691
  • Lastpage
    700
  • Abstract
    Computational grids are solutions for several biological applications like virtual screening or molecular dynamics where large amounts of computing power and storage are required. The WISDOM project successfully deployed virtual screening at large scale on EGEE grid infrastructures in the summer 2005 and achieved 46 million dockings in 45 days, which is equivalent to 80 CPU years. WISDOM is one good example of a successful deployment of an embarrassingly parallel application. In this paper, we describe the improvements in our deployment. We screened ZINC database against four targets implicated in malaria. During more than 2 months and a half, we have achieved 140 million dockings, representing an average throughput of almost 80,000 dockings per hour. This was made possible by the availability of thousands of CPUs through different infrastructures worldwide. Through the acquired experience, the WISDOM production environment is evolving to enable an easy and fault- tolerant deployment of biological tools.
  • Keywords
    diseases; grid computing; medical computing; molecular biophysics; parallel programming; EGEE grid infrastructures; computational grid infrastructures; malaria; molecular docking; molecular dynamics; virtual screening; Biology computing; Chemical compounds; Computer applications; Costs; DNA; Databases; Diseases; Grid computing; Large-scale systems; Polymers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2007. CCGRID 2007. Seventh IEEE International Symposium on
  • Conference_Location
    Rio De Janeiro
  • Print_ISBN
    0-7695-2833-3
  • Type

    conf

  • DOI
    10.1109/CCGRID.2007.66
  • Filename
    4215439