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Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models
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 protein...
Autores principales: | Lewis, Nathan E, Hixson, Kim K, Conrad, Tom M, Lerman, Joshua A, Charusanti, Pep, Polpitiya, Ashoka D, Adkins, Joshua N, Schramm, Gunnar, Purvine, Samuel O, Lopez-Ferrer, Daniel, Weitz, Karl K, Eils, Roland, König, Rainer, Smith, Richard D, Palsson, Bernhard Ø |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
European Molecular Biology Organization
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2925526/ https://www.ncbi.nlm.nih.gov/pubmed/20664636 http://dx.doi.org/10.1038/msb.2010.47 |
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