Application of grid computing to parameter sweeps and optimizations in molecular modeling

  • Authors:
  • Wibke Sudholt;Kim K. Baldridge;David Abramson;Colin Enticott;Slavisa Garic;Chris Kondric;Duy Nguyen

  • Affiliations:
  • Institute of Organic Chemistry, University of Zürich, 190 Winterthurerstrasse, Zürich 8057, Switzerland;Institute of Organic Chemistry, University of Zürich, 190 Winterthurerstrasse, Zürich 8057, Switzerland and San Diego Supercomputer Center (SDSC), University of California, San Diego (UC ...;Center for Enterprise Distributed Systems (DSTC), Monash University, Clayton, Victoria, 3800 Australia;Center for Enterprise Distributed Systems (DSTC), Monash University, Clayton, Victoria, 3800 Australia;Center for Enterprise Distributed Systems (DSTC), Monash University, Clayton, Victoria, 3800 Australia;San Diego Supercomputer Center (SDSC), University of California, San Diego (UCSD), 9500 Gilman Drive, La Jolla, CA 92093-0505, USA and Center for Enterprise Distributed Systems (DSTC), Monash Univ ...;San Diego Supercomputer Center (SDSC), University of California, San Diego (UCSD), 9500 Gilman Drive, La Jolla, CA 92093-0505, USA and Center for Enterprise Distributed Systems (DSTC), Monash Univ ...

  • Venue:
  • Future Generation Computer Systems
  • Year:
  • 2005

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Abstract

In science and engineering in general and in computational chemistry in particular, parameter sweeps and optimizations are of high importance. Such parametric modeling jobs are embarrassingly parallel and thus well suited for grid computing. The Nimrod toolkit significantly simplifies the utilization of computational grids for this kind of research by hiding the complex grid middleware, automating job distribution, and providing easy-to-use user interfaces. Here, we present examples for the usage of Nimrod in molecular modeling. In detail, we discuss the parameterization of a group difference pseudopotential (GDP). Other applications are protein-ligand docking and a high-throughput workflow infrastructure for computational chemistry.