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
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