Literature DB >> 8363590

Control analysis applied to single enzymes: can an isolated enzyme have a unique rate-limiting step?

G C Brown1, C E Cooper.   

Abstract

Control analysis is used to analyse and quantify the concept of a rate-limiting step within an enzyme. The extent to which each rate constant within the enzyme limits the steady-state rate of the enzyme and the levels of enzyme intermediate species are quantified as flux and concentration control coefficients. These coefficients are additive and obey summation theorems. The control coefficients of triose phosphate isomerase, carbamate kinase and lactate dehydrogenase are calculated from literature values of the rate constants. It is shown that, contrary to previous assumption, these enzymes do not have a unique rate-limiting step, but rather flux control is shared by several rate constants and varies with substrate, product and effector concentrations, and with the direction of the reaction. Thus the general assumption that an enzyme will have a unique rate-limiting step is unjustified.

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Year:  1993        PMID: 8363590      PMCID: PMC1134569          DOI: 10.1042/bj2940087

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


  16 in total

1.  Ultimate limits for the reaction flux and metabolite levels that may be evolutionarily reached in a linear metabolic pathway.

Authors:  G Pettersson; P Pettersson
Journal:  Eur J Biochem       Date:  1990-11-26

2.  How to draw kinetic barrier diagrams for enzyme-catalysed reactions.

Authors:  J Südi
Journal:  Biochem J       Date:  1991-05-15       Impact factor: 3.857

3.  Evolutionary optimization of the catalytic effectiveness of an enzyme.

Authors:  J J Burbaum; R T Raines; W J Albery; J R Knowles
Journal:  Biochemistry       Date:  1989-11-28       Impact factor: 3.162

4.  Effect of evolution on the kinetic properties of enzymes.

Authors:  G Pettersson
Journal:  Eur J Biochem       Date:  1989-10-01

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Authors:  C Giersch
Journal:  Eur J Biochem       Date:  1988-06-15

6.  A kinetic study of the mechanism of crystalline carbamate kinase.

Authors:  M Marshall; P P Cohen
Journal:  J Biol Chem       Date:  1966-09-25       Impact factor: 5.157

7.  Rate-limiting step: a quantitative definition. Application to steady-state enzymic reactions.

Authors:  W J Ray
Journal:  Biochemistry       Date:  1983-09-27       Impact factor: 3.162

8.  The control of flux.

Authors:  H Kacser; J A Burns
Journal:  Symp Soc Exp Biol       Date:  1973

9.  Minimal kinetic mechanism and general equation for deuterium isotope effects on enzymic reactions: uncertainty in detecting a rate-limiting step.

Authors:  D B Northrop
Journal:  Biochemistry       Date:  1981-07-07       Impact factor: 3.162

10.  Free energy differences between enzyme bound states.

Authors:  A D Ellington; S A Benner
Journal:  J Theor Biol       Date:  1987-08-21       Impact factor: 2.691

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  5 in total

1.  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

2.  Control analysis applied to the whole body: control by body organs over plasma concentrations and organ fluxes of substances in the blood.

Authors:  G C Brown
Journal:  Biochem J       Date:  1994-01-01       Impact factor: 3.857

3.  The analysis of rate limitation within enzymes: relations between flux control coefficients of rate constants and unidirectional rates, rate constants and thermodynamic parameters of single isolated enzymes.

Authors:  G C Brown; C E Cooper
Journal:  Biochem J       Date:  1994-05-15       Impact factor: 3.857

Review 4.  Insulin resistance protects the heart from fuel overload in dysregulated metabolic states.

Authors:  Heinrich Taegtmeyer; Christophe Beauloye; Romain Harmancey; Louis Hue
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-10-04       Impact factor: 4.733

5.  A general framework for thermodynamically consistent parameterization and efficient sampling of enzymatic reactions.

Authors:  Pedro Saa; Lars K Nielsen
Journal:  PLoS Comput Biol       Date:  2015-04-14       Impact factor: 4.475

  5 in total

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