Statistical mechanics for metabolic networks during steady state growth
Single cell growth rate variability has been difficult to understand. Here, the authors apply a generalization of flux balance analysis to single cells based on maximum entropy modeling, and find that growth rate fluctuations of E. coli reflect metabolic flux variability and growth sub-optimality, i...
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Auteurs principaux: | Daniele De Martino, Anna MC Andersson, Tobias Bergmiller, Călin C. Guet, Gašper Tkačik |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2018
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Accès en ligne: | https://doaj.org/article/047a842e2a584521b3b1c31d7ce5b03a |
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