Genome-scale models of microbial cells: evaluating the consequences of constraints.

TitleGenome-scale models of microbial cells: evaluating the consequences of constraints.
Publication TypeJournal Article
Year of Publication2004
AuthorsPrice ND, Reed JL, Palsson BØ
JournalNature reviews. Microbiology
Volume2
Issue11
Pagination886-97
PubMed Date2004 Nov
ISSN1740-1526
KeywordsBacterial Physiological Phenomena, Computational Biology, Genome, Bacterial, Mathematics, Models, Biological, Phenotype, Software, Systems Theory
Abstract

Microbial cells operate under governing constraints that limit their range of possible functions. With the availability of annotated genome sequences, it has become possible to reconstruct genome-scale biochemical reaction networks for microorganisms. The imposition of governing constraints on a reconstructed biochemical network leads to the definition of achievable cellular functions. In recent years, a substantial and growing toolbox of computational analysis methods has been developed to study the characteristics and capabilities of microorganisms using a constraint-based reconstruction and analysis (COBRA) approach. This approach provides a biochemically and genetically consistent framework for the generation of hypotheses and the testing of functions of microbial cells.

Alternate JournalNat. Rev. Microbiol.
PubMed ID15494745

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