Literature DB >> 7925436

Control by enzymes, coenzymes and conserved moieties. A generalisation of the connectivity theorem of metabolic control analysis.

B N Kholodenko1, H M Sauro, H V Westerhoff.   

Abstract

The control and regulation of metabolic systems are determined by their responses to changes in the internal metabolites (the internal state) and parameters of the system. In many cases, the concentrations of the intermediates are constrained by moiety conservations, for example those requiring that all intermediate forms of any enzyme sum to the conserved total concentration of that enzyme. In this study, we show how responses to changes in the internal state are related to responses to changes in the total amounts of conserved moieties. The relationship between these two different measures of control leads to a generalisation of the connectivity theorems. The results have important implications for the study of a variety of phenomena such as metabolite (coenzyme) sequestration, group-transfer and channelling. The relationships we derive make it possible to determine the control features of these pathways. As an illustration, two examples are chosen. The first shows the effect of sequestration of substrate moiety while the second deals with the sequestration of the enzyme moieties and enzyme/enzyme interactions.

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Year:  1994        PMID: 7925436     DOI: 10.1111/j.1432-1033.1994.00179.x

Source DB:  PubMed          Journal:  Eur J Biochem        ISSN: 0014-2956


  9 in total

1.  Diffusion control of protein phosphorylation in signal transduction pathways.

Authors:  B N Kholodenko; G C Brown; J B Hoek
Journal:  Biochem J       Date:  2000-09-15       Impact factor: 3.857

2.  Metabolic control analysis under uncertainty: framework development and case studies.

Authors:  Liqing Wang; Inanç Birol; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2004-10-01       Impact factor: 4.033

3.  Elucidation and structural analysis of conserved pools for genome-scale metabolic reconstructions.

Authors:  Evgeni V Nikolaev; Anthony P Burgard; Costas D Maranas
Journal:  Biophys J       Date:  2004-10-15       Impact factor: 4.033

4.  Subtleties in control by metabolic channelling and enzyme organization.

Authors:  B N Kholodenko; J M Rohwer; M Cascante; H V Westerhoff
Journal:  Mol Cell Biochem       Date:  1998-07       Impact factor: 3.396

5.  Effect of channelling on the concentration of bulk-phase intermediates as cytosolic proteins become more concentrated.

Authors:  B N Kholodenko; H V Westerhoff; M Cascante
Journal:  Biochem J       Date:  1996-02-01       Impact factor: 3.857

6.  How molecular competition influences fluxes in gene expression networks.

Authors:  Dirk De Vos; Frank J Bruggeman; Hans V Westerhoff; Barbara M Bakker
Journal:  PLoS One       Date:  2011-12-05       Impact factor: 3.240

7.  The promiscuous enzyme medium-chain 3-keto-acyl-CoA thiolase triggers a vicious cycle in fatty-acid beta-oxidation.

Authors:  Anne-Claire M F Martines; Karen van Eunen; Dirk-Jan Reijngoud; Barbara M Bakker
Journal:  PLoS Comput Biol       Date:  2017-04-03       Impact factor: 4.475

8.  Limited Mechanistic Link Between the Monod Equation and Methanogen Growth: a Perspective from Metabolic Modeling.

Authors:  Qusheng Jin; Qiong Wu; Benjamin M Shapiro; Shannon E McKernan
Journal:  Microbiol Spectr       Date:  2022-03-03

Review 9.  Basic concepts and principles of stoichiometric modeling of metabolic networks.

Authors:  Timo R Maarleveld; Ruchir A Khandelwal; Brett G Olivier; Bas Teusink; Frank J Bruggeman
Journal:  Biotechnol J       Date:  2013-07-29       Impact factor: 4.677

  9 in total

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