An analytic approximation of the feasible space of metabolic networks

Large-scale metabolic models of organisms from microbes to mammals can provide great insight into cellular function, but their analysis remains challenging. Here, the authors provide an approximate analytic method to estimate the feasible solution space for the flux vectors of metabolic networks, en...

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Auteurs principaux:	Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2017
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/a310c3829c1b4c4c9dfde675741de891
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id	oai:doaj.org-article:a310c3829c1b4c4c9dfde675741de891
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spelling	oai:doaj.org-article:a310c3829c1b4c4c9dfde675741de8912021-12-02T14:42:20ZAn analytic approximation of the feasible space of metabolic networks10.1038/ncomms149152041-1723https://doaj.org/article/a310c3829c1b4c4c9dfde675741de8912017-04-01T00:00:00Zhttps://doi.org/10.1038/ncomms14915https://doaj.org/toc/2041-1723Large-scale metabolic models of organisms from microbes to mammals can provide great insight into cellular function, but their analysis remains challenging. Here, the authors provide an approximate analytic method to estimate the feasible solution space for the flux vectors of metabolic networks, enabling more accurate analysis under a wide range of conditions of interest.Alfredo BraunsteinAnna Paola MuntoniAndrea PagnaniNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Alfredo Braunstein Anna Paola Muntoni Andrea Pagnani An analytic approximation of the feasible space of metabolic networks
description	Large-scale metabolic models of organisms from microbes to mammals can provide great insight into cellular function, but their analysis remains challenging. Here, the authors provide an approximate analytic method to estimate the feasible solution space for the flux vectors of metabolic networks, enabling more accurate analysis under a wide range of conditions of interest.
format	article
author	Alfredo Braunstein Anna Paola Muntoni Andrea Pagnani
author_facet	Alfredo Braunstein Anna Paola Muntoni Andrea Pagnani
author_sort	Alfredo Braunstein
title	An analytic approximation of the feasible space of metabolic networks
title_short	An analytic approximation of the feasible space of metabolic networks
title_full	An analytic approximation of the feasible space of metabolic networks
title_fullStr	An analytic approximation of the feasible space of metabolic networks
title_full_unstemmed	An analytic approximation of the feasible space of metabolic networks
title_sort	analytic approximation of the feasible space of metabolic networks
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/a310c3829c1b4c4c9dfde675741de891
work_keys_str_mv	AT alfredobraunstein ananalyticapproximationofthefeasiblespaceofmetabolicnetworks AT annapaolamuntoni ananalyticapproximationofthefeasiblespaceofmetabolicnetworks AT andreapagnani ananalyticapproximationofthefeasiblespaceofmetabolicnetworks AT alfredobraunstein analyticapproximationofthefeasiblespaceofmetabolicnetworks AT annapaolamuntoni analyticapproximationofthefeasiblespaceofmetabolicnetworks AT andreapagnani analyticapproximationofthefeasiblespaceofmetabolicnetworks
_version_	1718389706636394496

An analytic approximation of the feasible space of metabolic networks

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