TrypanoCyc: a community-led biochemical pathways database for Trypanosoma brucei

Sanu Shameer, Flora J. Logan-Klumpler, Florence Vinson, Ludovic Cottret, Benjamin Merlet, Fiona Achcar, Michael Boshart, Matthew Berriman, Rainer Breitling, Frédéric Bringaud, Peter Bütikofer, Amy M. Cattanach, Bridget Bannerman-Chukualim, Darren J. Creek, Kathryn Crouch, Harry P. de Koning, Hubert Denise, Charles Ebikeme, Alan H. Fairlamb, Michael A. J. FergusonMichael L. Ginger, Christiane Hertz-Fowler, Eduard J. Kerkhoven, Pascal Mäser, Paul A. M. Michels, Archana Nayak, David W. Nes, Derek P. Nolan, Christian Olsen, Fatima Silva-Franco, Terry K. Smith, Martin C. Taylor, Aloysius G. M. Tielens, Michael D. Urbaniak, Jaap J. van Hellemond, Isabel M. Vincent, Shane R. Wilkinson, Susan Wyllie, Fred R. Opperdoes, Michael P. Barrett, Fabien Jourdan

    Research output: Contribution to journalArticlepeer-review

    19 Citations (Scopus)

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)D637-D644
    Number of pages8
    JournalNucleic Acids Research
    Volume43
    Issue numberD1
    Early online date9 Oct 2014
    DOIs
    Publication statusPublished - 28 Jan 2015

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