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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Pierre Salvy, Vassily Hatzimanikatis
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/3f53479f7668449da4098ae848112f9c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3f53479f7668449da4098ae848112f9c
record_format	dspace
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
work_keys_str_mv	AT pierresalvy theetflformulationallowsmultiomicsintegrationinthermodynamicscompliantmetabolismandexpressionmodels AT vassilyhatzimanikatis theetflformulationallowsmultiomicsintegrationinthermodynamicscompliantmetabolismandexpressionmodels AT pierresalvy etflformulationallowsmultiomicsintegrationinthermodynamicscompliantmetabolismandexpressionmodels AT vassilyhatzimanikatis etflformulationallowsmultiomicsintegrationinthermodynamicscompliantmetabolismandexpressionmodels
_version_	1718389985235697664

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

Ejemplares similares