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Grid computing solutions for distributed repositories of protein folding and unfolding simulations

Swain, M., Ostropytskyy, V., Silva, C. G., Stahl, F., Riche, O., Brito, R. M. M. and Dubitzky, W. (2008) Grid computing solutions for distributed repositories of protein folding and unfolding simulations. In: Computational Science – ICCS 2008. Lecture Notes in Computer Science (5103). Springer, Berlin, pp. 70-79. ISBN 9783540693888

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To link to this item DOI: 10.1007/978-3-540-69389-5_10

Abstract/Summary

The P-found protein folding and unfolding simulation repository is designed to allow scientists to perform analyses across large, distributed simulation data sets. There are two storage components in P-found: a primary repository of simulation data and a data warehouse. Here we demonstrate how grid technologies can support multiple, distributed P-found installations. In particular we look at two aspects, first how grid data management technologies can be used to access the distributed data warehouses; and secondly, how the grid can be used to transfer analysis programs to the primary repositories --- this is an important and challenging aspect of P-found because the data volumes involved are too large to be centralised. The grid technologies we are developing with the P-found system will allow new large data sets of protein folding simulations to be accessed and analysed in novel ways, with significant potential for enabling new scientific discoveries.

Item Type:Book or Report Section
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:30155
Additional Information:8th International Conference, Kraków, Poland, June 23-25, 2008, Proceedings, Part III
Publisher:Springer

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