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Jol2012_YeastMetabolism_EFManalysis


ABSTRACT: To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Stefan Jol  

PROVIDER: MODEL1201230000 | BioModels | 2005-01-01

REPOSITORIES: BioModels

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Publications

System-level insights into yeast metabolism by thermodynamic analysis of elementary flux modes.

Jol Stefan J SJ   Kümmel Anne A   Terzer Marco M   Stelling Jörg J   Heinemann Matthias M  

PLoS computational biology 20120301 3


One of the most obvious phenotypes of a cell is its metabolic activity, which is defined by the fluxes in the metabolic network. Although experimental methods to determine intracellular fluxes are well established, only a limited number of fluxes can be resolved. Especially in eukaryotes such as yeast, compartmentalization and the existence of many parallel routes render exact flux analysis impossible using current methods. To gain more insight into the metabolic operation of S. cerevisiae we de  ...[more]

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