A gridified protein structure prediction system 'Rokky-G' and its implementation issues

Shingo Masuda; Minoru Ikebe; Kazutoshi Fujikawa; Hideki Sunahara

A gridified protein structure prediction system 'Rokky-G' and its implementation issues

Shingo Masuda, Minoru Ikebe, Kazutoshi Fujikawa, Hideki Sunahara

Research output: Contribution to journal › Article › peer-review

Abstract

In recent years, simulation using computer systems has been of increasing importance in the life sciences. We have developed a system called 'Rokky-G' that facilitates a protein structure prediction strategy called 'Rokky' on Grid systems. Rokky-G provides the framework of protein structure prediction on the Grid. In this paper we discuss the architecture of Rokky-G and implementation issues identified in order to obtain highly reliable results.

Original language	English
Pages (from-to)	158-166
Number of pages	9
Journal	Studies in Health Technology and Informatics
Volume	120
Publication status	Published - 2006
Externally published	Yes

Keywords

Grid Computing
Job Priority
Protein structure prediction
Resource allocation
Trial-and-error

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Cite this

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AU - Masuda, Shingo

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AU - Fujikawa, Kazutoshi

AU - Sunahara, Hideki

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AB - In recent years, simulation using computer systems has been of increasing importance in the life sciences. We have developed a system called 'Rokky-G' that facilitates a protein structure prediction strategy called 'Rokky' on Grid systems. Rokky-G provides the framework of protein structure prediction on the Grid. In this paper we discuss the architecture of Rokky-G and implementation issues identified in order to obtain highly reliable results.

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KW - Job Priority

KW - Protein structure prediction

KW - Resource allocation

KW - Trial-and-error

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ER -

A gridified protein structure prediction system 'Rokky-G' and its implementation issues

Abstract

Keywords

ASJC Scopus subject areas

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