Published October 9, 2014
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TrypanoCyc: a community-led biochemical pathways database for Trypanosoma brucei

Creators

  • 1. Institut national de la recherche agronomique
  • 2. INRAE
  • 3. Wellcome Trust Sanger Institute
  • 4. University of Glasgow
  • 5. Ludwig Maximilian University of Munich
  • 6. University of Manchester
  • 7. Centre national de la recherche scientifique
  • 8. University of Bern
  • 9. Monash University
  • 10. European Bioinformatics Institute
  • 11. ISSC, UNESCO, F-75732 CEDEX 15, Paris, France.
  • 12. University of Dundee
  • 13. Lancaster University
  • 14. University of Liverpool
  • 15. Chalmers University of Technology
  • 16. Swiss Tropical and Public Health Institute
  • 17. University of Edinburgh
  • 18. Texas Tech University
  • 19. Trinity College, Dublin
  • 20. Biomatters Inc. 60 Park Place, Suite 2100, Newark, NJ, USA.
  • 21. University of St Andrews
  • 22. University of London
  • 23. Erasmus University Medical Center
  • 24. Utrecht University
  • 25. Queen Mary University of London
  • 26. Catholic University of Leuven
  • 27. Katholieke Universiteit Leuven

Description

The metabolic network of a cell represents the catabolic and anabolic reactions that interconvert small molecules (metabolites) through the activity of enzymes, transporters and non-catalyzed chemical reactions. Our understanding of individual metabolic networks is increasing as we learn more about the enzymes that are active in particular cells under particular conditions and as technologies advance to allow detailed measurements of the cellular metabolome. Metabolic network databases are of increasing importance in allowing us to contextualise data sets emerging from transcriptomic, proteomic and metabolomic experiments. Here we present a dynamic database, TrypanoCyc (http://www.metexplore.fr/trypanocyc/), which describes the generic and condition-specific metabolic network of Trypanosoma brucei, a parasitic protozoan responsible for human and animal African trypanosomiasis. In addition to enabling navigation through the BioCyc-based TrypanoCyc interface, we have also implemented a network-based representation of the information through MetExplore, yielding a novel environment in which to visualise the metabolism of this important parasite.
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