An extension to the metabolic control theory taking into account correlations between enzyme concentrations
| Autor: | Frédéric Gabriel, Christine Dillmann, Julie B. Fiévet, Sébastien Lion, Bruno Bost, Dominique de Vienne |
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| Přispěvatelé: | Génétique Végétale (GV), Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-Institut National Agronomique Paris-Grignon (INA P-G)-Centre National de la Recherche Scientifique (CNRS), Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2004 |
| Předmět: |
Metabolite
Statistics as Topic MESH: Enzymes Thermodynamics Research Support MESH: Research Support Non-U.S. Gov't Models Biological Biochemistry MESH: Linear Models 03 medical and health sciences chemistry.chemical_compound Models Non-U.S. Gov't 030304 developmental biology chemistry.chemical_classification 0303 health sciences Statistics 030302 biochemistry & molecular biology MESH: Models Biological Biological [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] Enzymes Metabolism Enzyme MESH: Metabolism chemistry Linear Models [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] Metabolic control theory Flux (metabolism) MESH: Statistics |
| Zdroj: | European Journal of Biochemistry European Journal of Biochemistry, Wiley, 2004, 271 (22), pp.4375-91. ⟨10.1111/j.1432-1033.2004.04375.x⟩ |
| ISSN: | 1432-1033 0014-2956 1432-1327 |
| DOI: | 10.1111/j.1432-1033.2004.04375.x |
| Popis: | DOI : 10.1111/j.1432-1033.2004.04375.x; The classical metabolic control theory [Kacser, H. & Burns, J.A. (1973) Symp. Soc. Exp. Biol.27, 65-104; Heinrich, R. & Rapoport, T. (1974) Eur. J. Biochem.42, 89-95.] does not take into account experimental evidence for correlations between enzyme concentrations in the cell. We investigated the implications of two causes of linear correlations: competition between enzymes, which is a mere physical adaptation of the cell to the limitation of resources and space, and regulatory correlations, which result from the existence of regulatory networks. These correlations generate redistribution of enzyme concentrations when the concentration of an enzyme varies; this may dramatically alter the flux and metabolite concentration curves. In particular, negative correlations cause the flux to have a maximum value for a defined distribution of enzyme concentrations. Redistribution coefficients of enzyme concentrations allowed us to calculate the 'combined response coefficient' that quantifies the response of flux or metabolite concentration to a perturbation of enzyme concentration. |
| Databáze: | OpenAIRE |
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