Abstract
The large number of protein sequences, provided by genomic projects at an increasing pace, constitutes a challenge for large scale computational studies of protein structure and thermodynamics. Grid technology is very suitable to face this challenge, since it provides a way to access the resources needed in compute and data intensive applications. In this work, we concentrate on the grid-aware implementation of a protein structure prediction algorithm.
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Berman, F. et al., “Adaptive Computing on the Grid Using AppLeS,”IEEE Transactions on Parallel and Distribed Systems, 14, 5, pp. 369–382, 2003.
Foster, I. and Kesselman, C.,The Grid: Blueprint for a New Computing Infrastructure, Morgan-Kaufman, 1999.
Huedo, E., Montero, R. S. and Llorente, I. M., “A Framework for Adaptive Execution in Grids,” to be publishedIntl. Journal of Software—Practice and Experience, 2003.
Ham, R. van et al., “Reductive Genome Evolution in Buchnera Aphidicola,” inProc. of National Academy Science, USA, 100, pp. 581–586, 2003.
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Huedo, E., Bastolla, U., Montero, R.S. et al. Computational proteomics on the grid. New Gener Comput 22, 191–192 (2004). https://doi.org/10.1007/BF03040959
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DOI: https://doi.org/10.1007/BF03040959
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