Title | Genome-scale models of microbial cells: evaluating the consequences of constraints. |
Publication Type | Journal Article |
Year of Publication | 2004 |
Authors | Price ND, Reed JL, Palsson BØ |
Journal | Nature reviews. Microbiology |
Volume | 2 |
Issue | 11 |
Pagination | 886-97 |
PubMed Date | 2004 Nov |
ISSN | 1740-1526 |
Keywords | Bacterial 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 Journal | Nat. Rev. Microbiol. |
PubMed ID | 15494745 |