Statistical mechanics for metabolic networks during steady state growth

@article{DeMartino2018StatisticalMF,
  title={Statistical mechanics for metabolic networks during steady state growth},
  author={Daniele De Martino and Anna Mc Andersson and Tobias Bergmiller and Călin C. Guet and Ga{\vs}per Tka{\vc}ik},
  journal={Nature Communications},
  year={2018},
  volume={9}
}
Which properties of metabolic networks can be derived solely from stoichiometry? Predictive results have been obtained by flux balance analysis (FBA), by postulating that cells set metabolic fluxes to maximize growth rate. Here we consider a generalization of FBA to single-cell level using maximum entropy modeling, which we extend and test experimentally. Specifically, we define for Escherichia coli metabolism a flux distribution that yields the experimental growth rate: the model, containing… 
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