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BioNessie(G) - a Grid enabled biochemical networks simulation environment.

Xuan Liu1, Jipu Jiang, Oluwafemi Ajayi

  • 1Bioinformatics Research Centre, University of Glasgow, Glasgow, Scotland, UK. xliu@dcs.gla.ac.uk

Studies in Health Technology and Informatics
|June 19, 2008
PubMed
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BioNessie, a biochemical network simulator, was enhanced using UK Grid technologies. This enables larger-scale simulations, providing deeper insights into cellular processes and organismal pathways.

Area of Science:

  • Biochemistry and Systems Biology
  • Computational Biology and Bioinformatics
  • High-Performance Computing

Background:

  • Biochemical network simulations offer crucial insights into cellular mechanisms.
  • The BioNessie simulator was developed at the University of Glasgow.
  • Scaling simulations is essential for comprehensive biological understanding.

Purpose of the Study:

  • To describe the BioNessie biochemical network simulator.
  • To detail the extension of BioNessie to leverage Grid technologies.
  • To support larger-scale biochemical network simulations.

Main Methods:

  • Utilizing UK Grid technologies for distributed high-performance computing.
  • Extending the BioNessie simulator architecture.

Related Experiment Videos

  • Implementing parallel processing for large datasets.

    • Main Results:

    • BioNessie successfully integrated with UK Grid resources.
    • The enhanced simulator supports significantly larger-scale simulations.
    • Improved computational efficiency for complex biochemical models.

    Conclusions:

    • The integration of BioNessie with Grid technologies enhances its capability for large-scale simulations.
    • This advancement facilitates deeper understanding of complex biochemical networks.
    • The developed approach provides a scalable platform for systems biology research.