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A Gridified Protein Structure Prediction System “Rokky-G” and its Implementation Issues
Shingo Masuda, Minoru Ikebe, Kazutoshi Fujikawa, Hideki Sunahara
158 - 166
Studies in Health Technology and Informatics
Volume 120: Challenges and Opportunities of HealthGrids
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.

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