Description and Interpretation of Adaptive Evolution of Escherichia coli K-12 MG1655 by Using a Genome-Scale In Silico Metabolic Model

Genome-scale in silico metabolic networks of Escherichia coli have been reconstructed. By using a constraint-based in silico model of a reconstructed network, the range of phenotypes exhibited by E. coli under different growth conditions can be computed, and optimal growth phenotypes can be predicte...

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Bibliografische Detailangaben

Veröffentlicht in:	J Bacteriol
Hauptverfasser:	Fong, Stephen S., Marciniak, Jennifer Y., Palsson, Bernhard Ø.
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	American Society for Microbiology (ASM) 2003
Schlagworte:	Population Genetics and Evolution
Online-Zugang:	https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC219384/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/14563875/ https://ncbi.nlm.nih.govhttps://doi.org/10.1128/JB.185.21.6400-6408.2003
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