Implementation of protein tertiary structure prediction system with NetSolve

Yusuke Tanimura, Keiko Aoi, Tomoyuki Hiroyasu, Mitsunori Miki, Yuko Okamoto, Jack Dongarra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this study, the protein tertiary structure prediction systems on the Grid are proposed for progress of the bioinformatics. The prediction is mainly performed by the protein energy minimization. However, this method has many iterated calculation of the protein energy in most cases. To use the Grid as the large-scale computing environment would be valuable for this system. In the system, Parallel Simulated Annealing using Genetic Crossover (PSA/GAc) is a minimization engine and NetSolve is a basic tool to use the Grid. In this study, two types of implementations are prepared. The first naive implementation of the system has a critical overhead due to large communication delay over the Internet. The second system, asynchronous Crossover model, improves the performance in the second implementation. The details of the system and the experimental results solving C-peptide are shown as an example of Grid application.

Original languageEnglish
Title of host publicationProceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004
Pages320-327
Number of pages8
DOIs
StatePublished - 2004
Externally publishedYes
EventProceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004 - Tokyo, Japan
Duration: Jul 20 2004Jul 22 2004

Publication series

NameProceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004

Conference

ConferenceProceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004
Country/TerritoryJapan
CityTokyo
Period07/20/0407/22/04

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