Literature DB >> 25178784

NExT: integration of thermodynamic constraints and metabolomics data into a metabolic network.

Verónica Sofía Martínez1, Lars K Nielsen.   

Abstract

Thermodynamic constraints are widely used in metabolic modelling such that calculated flux phenotypes are closer to real cell behavior. If metabolic data is also included in the analysis, a check of the thermodynamic consistency of the data can be realized and subsequently use the metabolic data to further constrain the solution space, giving a more specific representation of the cell metabolism under the studied conditions. Here NExT, a software based on network-embedded thermodynamic analysis, is presented, to integrate thermodynamics constraints and metabolomics data in the estimation of intracellular fluxes. New irreversible reactions can be inferred by calculating the thermodynamically feasible range of metabolite concentrations and Gibbs energy of reactions.

Mesh:

Year:  2014        PMID: 25178784     DOI: 10.1007/978-1-4939-1170-7_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  The topology of genome-scale metabolic reconstructions unravels independent modules and high network flexibility.

Authors:  Verónica S Martínez; Pedro A Saa; Jason Jooste; Kanupriya Tiwari; Lake-Ee Quek; Lars K Nielsen
Journal:  PLoS Comput Biol       Date:  2022-06-27       Impact factor: 4.779

Review 2.  Quantification of Microbial Phenotypes.

Authors:  Verónica S Martínez; Jens O Krömer
Journal:  Metabolites       Date:  2016-12-09

3.  A systematic evaluation of Mycobacterium tuberculosis Genome-Scale Metabolic Networks.

Authors:  Víctor A López-Agudelo; Tom A Mendum; Emma Laing; HuiHai Wu; Andres Baena; Luis F Barrera; Dany J V Beste; Rigoberto Rios-Estepa
Journal:  PLoS Comput Biol       Date:  2020-06-15       Impact factor: 4.475

  3 in total

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