Literature DB >> 2390063

Enzyme kinetics and metabolic control. A method to test and quantify the effect of enzymic properties on metabolic variables.

L Acerenza1, H Kacser.   

Abstract

It is usual to study the sensitivity of metabolic variables to small (infinitesimal) changes in the magnitudes of individual parameters such as an enzyme concentration. Here, the effect that a simultaneous change in all the enzyme concentrations by the same factor alpha (Co-ordinate-Control Operation, CCO) has on the variables of time-dependent metabolic systems is investigated. This factor alpha can have any arbitrary large value. First, we assume, for each enzyme measured in isolation, the validity of the steady-state approximation and the proportionality between reaction rate and enzyme concentration. Under these assumptions, any time-invariant variable may behave like a metabolite concentration, i.e. S alpha = Sr (S-type), or like a flux, i.e. J alpha = alpha Jr (J-type). The subscripts r and alpha correspond to the values of the variable before and after the CCO respectively. Similarly, time-dependent variables may behave according to S alpha (t/alpha) = Sr (t) (S-type) or to J alpha (t/alpha) = alpha J r (t) (J-type). A method is given to test these relationships in experimental systems, and to quantify deviations from the predicted behaviour. A positive test for deviations proves the violation of some of the assumptions made. However, the breakdown of the assumptions in an enzyme-catalysed reaction, studied in isolation, may or may not affect significantly the behaviour of the system when the component reaction is embedded in the metabolic network.

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Year:  1990        PMID: 2390063      PMCID: PMC1131644          DOI: 10.1042/bj2690697

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  21 in total

1.  Control analysis of time-dependent metabolic systems.

Authors:  L Acerenza; H M Sauro; H Kacser
Journal:  J Theor Biol       Date:  1989-04-20       Impact factor: 2.691

Review 2.  Enzyme-enzyme interactions and control analysis. 2. The case of non-independence: heterologous associations.

Authors:  H M Sauro; H Kacser
Journal:  Eur J Biochem       Date:  1990-02-14

Review 3.  Enzyme-enzyme interactions and control analysis. 1. The case of non-additivity: monomer-oligomer associations.

Authors:  H Kacser; H M Sauro; L Acerenza
Journal:  Eur J Biochem       Date:  1990-02-14

4.  Control analysis of transition times in metabolic systems.

Authors:  E Meléndez-Hevia; N V Torres; J Sicilia; H Kacser
Journal:  Biochem J       Date:  1990-01-01       Impact factor: 3.857

5.  A simple test for inactivation of an enzyme during assay.

Authors:  M J Selwyn
Journal:  Biochim Biophys Acta       Date:  1965-07-29

6.  A linear steady-state treatment of enzymatic chains. General properties, control and effector strength.

Authors:  R Heinrich; T A Rapoport
Journal:  Eur J Biochem       Date:  1974-02-15

7.  Time delays in metabolic control systems.

Authors:  E Mizraji; L Acerenza; J Hernández
Journal:  Biosystems       Date:  1988       Impact factor: 1.973

8.  Hysteretic enzymes.

Authors:  K E Neet; G R Ainslie
Journal:  Methods Enzymol       Date:  1980       Impact factor: 1.600

9.  A generalized theory of the transition time for sequential enzyme reactions.

Authors:  J S Easterby
Journal:  Biochem J       Date:  1981-10-01       Impact factor: 3.857

10.  Chaotic dynamics in yeast glycolysis under periodic substrate input flux.

Authors:  M Markus; D Kuschmitz; B Hess
Journal:  FEBS Lett       Date:  1984-07-09       Impact factor: 4.124

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  5 in total

1.  Generalization of the theory of transition times in metabolic pathways: a geometrical approach.

Authors:  M Lloréns; J C Nuño; Y Rodríguez; E Meléndez-Hevia; F Montero
Journal:  Biophys J       Date:  1999-07       Impact factor: 4.033

2.  Elasticity analysis and design for large metabolic responses produced by changes in enzyme activities.

Authors:  Fernando Ortega; Luis Acerenza
Journal:  Biochem J       Date:  2002-10-01       Impact factor: 3.857

3.  A strategy for increasing an in vivo flux by genetic manipulations. The tryptophan system of yeast.

Authors:  P Niederberger; R Prasad; G Miozzari; H Kacser
Journal:  Biochem J       Date:  1992-10-15       Impact factor: 3.857

4.  On the origins of a crowded cytoplasm.

Authors:  Luis Acerenza; Martin Graña
Journal:  J Mol Evol       Date:  2006-09-26       Impact factor: 2.395

5.  A strategy to calculate the patterns of nutrient consumption by microorganisms applying a two-level optimisation principle to reconstructed metabolic networks.

Authors:  Miguel Ponce de León; Héctor Cancela; Luis Acerenza
Journal:  J Biol Phys       Date:  2008-05-14       Impact factor: 1.365

  5 in total

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