Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis

@article{Martino2015GenomescaleEO,
  title={Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis},
  author={Daniele De Martino},
  journal={Physical Biology},
  year={2015},
  volume={13}
}
  • D. Martino
  • Published 18 May 2015
  • Environmental Science
  • Physical Biology
In this article the notion of metabolic turnover is revisited in the light of recent results of out-of-equilibrium thermodynamics. By means of Monte Carlo methods we perform an exact sampling of the enzymatic fluxes in a genome scale metabolic network of E. Coli in stationary growth conditions from which we infer the metabolites turnover times. However the latter are inferred from net fluxes, and we argue that this approximation is not valid for enzymes working nearby thermodynamic equilibrium… 
The Essential Role of Thermodynamics in Metabolic Network Modeling: Physical Insights and Computational Challenges
TLDR
The simple introduction of Gibbs inequalities avoids the presence of unfeasible loops allowing for correct timescale analysis but leads to possibly non-convex feasible flux spaces, whose exploration needs efficient algorithms.

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