Literature DB >> 25351807

Erratum to: A coupled thermodynamic and metabolic control analysis methodology and its evaluation on glycerol biosynthesis in Saccharomyces cerevisiae.

Markus Birkenmeier1, Matthias Mack, Thorsten Röder.   

Abstract

A coupled in silico thermodynamic and probabilistic metabolic control analysis methodology was verified by applying it to the glycerol biosynthetic pathway in Saccharomyces cerevisiae. The methodology allows predictions even when detailed knowledge of the enzyme kinetics is lacking. In a metabolic steady state, we found that glycerol-3-phosphate dehydrogenase operates far from thermodynamic equilibrium ([Formula: see text]  -15.9 to -47.5 kJ mol(-1), where [Formula: see text] is the transformed Gibbs energy of the reaction). Glycerol-3-phosphatase operates in modes near the thermodynamic equilibrium, far from the thermodynamic equilibrium or in between ([Formula: see text] ≈ 0 to -23.7 kJ mol(-1)). From the calculated distribution of the scaled flux control coefficients (median = 0.81), we inferred that the pathway flux is primarily controlled by glycerol-3-phosphate dehydrogenase. This prediction is consistent with previous findings, verifying the efficacy of the proposed methodology.

Entities:  

Year:  2015        PMID: 25351807     DOI: 10.1007/s10529-014-1696-x

Source DB:  PubMed          Journal:  Biotechnol Lett        ISSN: 0141-5492            Impact factor:   2.461


  2 in total

1.  Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties.

Authors:  Ljubisa Miskovic; Jonas Béal; Michael Moret; Vassily Hatzimanikatis
Journal:  PLoS Comput Biol       Date:  2019-08-20       Impact factor: 4.475

2.  Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies.

Authors:  Milenko Tokic; Vassily Hatzimanikatis; Ljubisa Miskovic
Journal:  Biotechnol Biofuels       Date:  2020-02-28       Impact factor: 6.040

  2 in total

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