The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models

The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models

Accounting for the effects of genetic expression in genome-scale metabolic models is challenging. Here, the authors introduce a model formulation that efficiently simulates thermodynamic-compliant fluxes, enzyme and mRNA concentration levels, allowing omics integration and broad analysis of in silic...

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Auteurs principaux: Pierre Salvy, Vassily Hatzimanikatis
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Science
Q
Accès en ligne:https://doaj.org/article/3f53479f7668449da4098ae848112f9c
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spelling oai:doaj.org-article:3f53479f7668449da4098ae848112f9c2021-12-02T14:41:12ZThe ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models10.1038/s41467-019-13818-72041-1723https://doaj.org/article/3f53479f7668449da4098ae848112f9c2020-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13818-7https://doaj.org/toc/2041-1723Accounting for the effects of genetic expression in genome-scale metabolic models is challenging. Here, the authors introduce a model formulation that efficiently simulates thermodynamic-compliant fluxes, enzyme and mRNA concentration levels, allowing omics integration and broad analysis of in silico cellular physiology.Pierre SalvyVassily HatzimanikatisNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Pierre Salvy
Vassily Hatzimanikatis
The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models
description Accounting for the effects of genetic expression in genome-scale metabolic models is challenging. Here, the authors introduce a model formulation that efficiently simulates thermodynamic-compliant fluxes, enzyme and mRNA concentration levels, allowing omics integration and broad analysis of in silico cellular physiology.
format article
author Pierre Salvy
Vassily Hatzimanikatis
author_facet Pierre Salvy
Vassily Hatzimanikatis
author_sort Pierre Salvy
title The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models
title_short The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models
title_full The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models
title_fullStr The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models
title_full_unstemmed The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models
title_sort etfl formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/3f53479f7668449da4098ae848112f9c
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AT vassilyhatzimanikatis theetflformulationallowsmultiomicsintegrationinthermodynamicscompliantmetabolismandexpressionmodels
AT pierresalvy etflformulationallowsmultiomicsintegrationinthermodynamicscompliantmetabolismandexpressionmodels
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