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Metabolic modeling of microbial strains in silico
M W Covert1, C H Schilling, I Famili
1Dept Bioengineering, University of California, San Diego, La Jolla, CA 92093-0412, USA.
Abstract:
The large volume of genome-scale data that is being produced and made available in databases on the World Wide Web is demanding the development of integrated mathematical models of cellular processes. The analysis of reconstructed metabolic networks as systems leads to the development of an in silico or computer representation of collections of cellular metabolic constituents, their interactions and their integrated function as a whole. The use of quantitative analysis methods to generate testable hypotheses and drive experimentation at a whole-genome level signals the advent of a systemic modeling approach to cellular and molecular biology.