ArticleThe FEBS journal2016
Which sets of elementary flux modes form thermodynamically feasible flux distributions?
Article in The FEBS journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growth.PLoS computational biology · 2022Article
- Flux tope analysis: studying the coordination of reaction directions in metabolic networks.Bioinformatics (Oxford, England) · 2019Article
- OptMDFpathway: Identification of metabolic pathways with maximal thermodynamic driving force and its application for analyzing the endogenous CO2 fixation potential of Escherichia coli.PLoS computational biology · 2018Article
- From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints.PLoS computational biology · 2017Review
- Mathematical modelling of clostridial acetone-butanol-ethanol fermentation.Applied microbiology and biotechnology · 2017Review
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4 authors.
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Abstract
Elementary flux modes (EFMs) are non-decomposable steady-state fluxes through metabolic networks. Every possible flux through a network can be described as a superposition of EFMs. The definition of EFMs is based on the stoichiometry of the network, and it has been shown previously that not all EFMs are thermodynamically feasible. These infeasible EFMs cannot contribute to a biologically meaningful flux distribution. In this work, we show that a set of thermodynamically feasible EFMs need not be thermodynamically consistent. We use first principles of thermodynamics to define the feasibility of a flux distribution and present a method to compute the largest thermodynamically consistent sets (LTCSs) of EFMs. An LTCS contains the maximum number of EFMs that can be combined to form a thermodynamically feasible flux distribution. As a case study we analyze all LTCSs found in Escherichia coli when grown on glucose and show that only one LTCS shows the required phenotypical properties. Using our method, we find that in our E. coli model < 10% of all EFMs are thermodynamically relevant.
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