• DocumentCode
    3454078
  • Title

    Grid-based nonequilibrium multiple-time scale molecular dynamics/Brownian dynamics simulations of ligand-receptor interactions in structured protein systems

  • Author

    Li, Yaohang ; Mascagni, Michael ; Peters, Michael H.

  • Author_Institution
    Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA
  • fYear
    2003
  • fDate
    12-15 May 2003
  • Firstpage
    568
  • Lastpage
    573
  • Abstract
    In the hybrid Molecular Dynamics (MD)/Brownian Dynamics (BD) algorithm for simulating the long-time, nonequilibrium dynamics of receptor-ligand interactions, the evaluation of the force autocorrelation function can be computationally costly but fortunately is highly amenable to multimode processing methods. In this paper, taking advantage of the computational grid´s large-scale computational resources and the nice characteristics of grid-based Monte Carlo applications, we developed a grid-based receptor-ligand interactions simulation application using the MD/BD algorithm. We expect to provide high-performance and trustworthy computing for analyzing long-time dynamics of proteins and protein-protein interaction to predict and understand cell signaling processes and small molecule drug efficacies. Our preliminary results showed that our grid-based application could provide a faster and more accurate computation for the force autocorrelation function in our MD/BD simulation than previous parallel implementations.
  • Keywords
    Monte Carlo methods; grid computing; molecular dynamics method; proteins; Brownian dynamics algorithm; cell signaling process; computational resources; force autocorrelation function; grid-based Monte Carlo applications; grid-based receptor-ligand interaction; hybrid molecular dynamics; molecule drug efficacies; multimode processing methods; nonequilibrium dynamics; protein-protein interaction; structured protein systems; Autocorrelation; Computational modeling; Drugs; Grid computing; Heuristic algorithms; Large-scale systems; Monte Carlo methods; Proteins; Signal analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2003. Proceedings. CCGrid 2003. 3rd IEEE/ACM International Symposium on
  • Print_ISBN
    0-7695-1919-9
  • Type

    conf

  • DOI
    10.1109/CCGRID.2003.1199415
  • Filename
    1199415