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New Generation Computing

, Volume 22, Issue 2, pp 191–192 | Cite as

Computational proteomics on the grid

  • Eduardo Huedo
  • Ugo Bastolla
  • Ruben S. Montero
  • Ignacio M. Llorente
Short Note

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.

Keywords

Bioinformatics Grid Adaptive Scheduling Adaptive Execution 

References

  1. 1).
    Berman, F. et al., “Adaptive Computing on the Grid Using AppLeS,”IEEE Transactions on Parallel and Distribed Systems, 14, 5, pp. 369–382, 2003.CrossRefGoogle Scholar
  2. 2).
    Foster, I. and Kesselman, C.,The Grid: Blueprint for a New Computing Infrastructure, Morgan-Kaufman, 1999.Google Scholar
  3. 3).
    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.Google Scholar
  4. 4).
    Ham, R. van et al., “Reductive Genome Evolution in Buchnera Aphidicola,” inProc. of National Academy Science, USA, 100, pp. 581–586, 2003.Google Scholar

Copyright information

© Ohmsha, Ltd. and Springer 2004

Authors and Affiliations

  • Eduardo Huedo
    • 1
  • Ugo Bastolla
    • 1
  • Ruben S. Montero
    • 2
  • Ignacio M. Llorente
    • 2
    • 1
  1. 1.Centro de Astrobiología (CSIC-INTA)Torrejón de ArdozSpain
  2. 2.Dpto. de Arquitectura de Computadores y AutomáticaUniversidad ComplutenseMadridSpain

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