Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models

Abstract After hundreds of generations of adaptive evolution at exponential growth, Escherichia coli grows as predicted using flux balance analysis (FBA) on genome‐scale metabolic models (GEMs). However, it is not known whether the predicted pathway usage in FBA solutions is consistent with gene and...

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Bibliographic Details

Published in:	Molecular Systems Biology
Main Authors:	Nathan E Lewis, Kim K Hixson, Tom M Conrad, Joshua A Lerman, Pep Charusanti, Ashoka D Polpitiya, Joshua N Adkins, Gunnar Schramm, Samuel O Purvine, Daniel Lopez‐Ferrer, Karl K Weitz, Roland Eils, Rainer König, Richard D Smith, Bernhard Ø Palsson
Format:	Article
Language:	English
Published:	Springer Nature 2010-07-01
Subjects:	Escherichia coli genome‐scale models microarray optimality proteomics
Online Access:	https://doi.org/10.1038/msb.2010.47