title: New surveyor tools for charting microbial metabolic maps.
abstract: The computational reconstruction and analysis of cellular models of microbial metabolism is one of the great success stories of systems biology. The extent and quality of metabolic network reconstructions is, however, limited by the current state of biochemical knowledge. Can experimental high-throughput data be used to improve and expand network reconstructions to include unexplored areas of metabolism? Recent advances in experimental technology and analytical methods bring this aim an important step closer to realization. Data integration will play a particularly important part in exploiting the new experimental opportunities.
authors.affiliation: Groningen Bioinformatics Centre, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9751 NN Haren, The Netherlands. r.breitling@rug.nl
authors.forename: Rainer
authors.initials: R
authors.lastname: Breitling
authors.forename: Dennis
authors.initials: D
authors.lastname: Vitkup
authors.forename: Michael P
authors.initials: MP
authors.lastname: Barrett
mesh_terms: D000818:Animals; D017360:Arabidopsis / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D023281:Genomics; D006090:Gram-Negative Bacteria / Q000378:metabolism*; D013058:Mass Spectrometry / Q000379:methods*; D053858:Metabolic Networks and Pathways; D017020:Methanosarcina / Q000378:metabolism*; D014345:Trypanosoma / Q000378:metabolism*