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Description and Interpretation of Adaptive Evolution of Escherichia coli K-12 MG1655 by Using a Genome-Scale In Silico Metabolic Model, , and . J. Bacteriol., (2003)Network analysis of intermediary metabolism using linear optimization. II. Interpretation of hybridoma cell metabolism, and . J Theor Biol, 154 (4): 455-473 (February 1992)Do genome-scale models need exact solvers or clearer standards?, , , , , , , , , and 31 other author(s). Molecular Systems Biology, 11 (10): 831 (Oct 14, 2015)Metabolic modeling of microbial strains in silico., , , , , , and . Trends in biochemical sciences, 26 (3): 179--186 (March 2001)Genome-scale in silico models of E. coli have multiple equivalent phenotypic states: assessment of correlated reaction subsets that comprise network states, and . Genome Res, 14 (9): 1797-1805 (September 2004)The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli, and . Nat Biotechnol, 26 (6): 659-667 (June 2008)Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia-coli W3110, and . Appl. Environ. Microbiol., 60 (10): 3724--3731 (1994)Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110, and . Appl. Environ. Microbiol., (1994)The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities, and . Proc. Natl. Acad. Sci. U. S. A., (2000)Systems Biology: Properties of Reconstructed Networks. Cambridge University Press New York, NY, USA, (2006)