Grid and Distributed Public Computing Schemes for Structural Proteomics: A Short Overview

  • Azhar Ali Shah
  • Daniel Barthel
  • Natalio Krasnogor
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4743)


Grid and distributed public computing schemes has become an essential tool for many scientific fields including bioinformatics, computational biology and systems biology. The adoption of these technologies has given rise to a wide range of projects and contributions that provide various ways of setting up these environments and exploiting their potential resources and services for different domains of applications. This paper aims to provide a distilled overview of some of the major projects, technologies and resources employed in the area of structural proteomics. The major emphasis would be to briefly comment on various approaches related to the gridification and parallelization of some flagship legacy applications, tools and data resources related to key structural proteomics problems such as protein structure prediction, folding and comparison. The comments are based on theoretical analysis of some interesting parameters such as performance gain after gridification, user level interaction environments, workload distribution and the choice of deployment infrastructure and technologies. The study of these parameters would provide a basis for some motivating justification needed for further research and development in this domain.


Protein Data Bank Protein Structure Prediction Protein Structure Comparison Structural Proteomics World Community Grid 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Azhar Ali Shah
    • 1
  • Daniel Barthel
    • 1
  • Natalio Krasnogor
    • 1
  1. 1.Automated Scheduling optimization And Planning (ASAP) Group, School of Computer Science and Information Technology, University of Nottingham, NG8 1BBUK

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