Literature DB >> 3996393

Metabolic control and its analysis. Additional relationships between elasticities and control coefficients.

D A Fell, H M Sauro.   

Abstract

Existing theorems from the analysis of metabolic control have been taken and embedded in a simple matrix algebra procedure for calculating the flux control coefficients of enzymes (formerly known as sensitivities) in a metabolic pathway from their kinetic properties (their elasticities). New theorems governing the flux control coefficients of branched pathways and substrate cycles have been derived to allow the procedure to be applied to complex pathway configurations. Modifications to the elasticity terms used in the equations have been theoretically justified so that the method remains valid for pathways with conserved metabolites (for example, the adenine nucleotide pool or the intermediates of a catalytic cycle such as the tricarboxylic acid cycle) or with pools of metabolites kept very near to equilibrium by very rapid reactions. The matrix equations generated using these theorems and relationships may be solved algebraically or numerically. Algebraic solutions have been used to determine the factors responsible for the degree of amplification of flux control coefficients by substrate cycles and to show that it is possible to derive expressions for the elasticities of a group of enzymes.

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Year:  1985        PMID: 3996393     DOI: 10.1111/j.1432-1033.1985.tb08876.x

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


  62 in total

1.  Product dependence and bifunctionality compromise the ultrasensitivity of signal transduction cascades.

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2.  Protein phosphorylation can regulate metabolite concentrations rather than control flux: the example of glycogen synthase.

Authors:  James R A Schafer; David A Fell; Douglas Rothman; Robert G Shulman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-26       Impact factor: 11.205

3.  Transition time control analysis of a glycolytic system under different glucose concentrations. Control of transition time versus control of flux.

Authors:  N V Torres; E Meléndez-Hevia
Journal:  Mol Cell Biochem       Date:  1992-06-26       Impact factor: 3.396

4.  Control analysis of rat liver glycolysis under different glucose concentrations. The substrate approach and the role of glucokinase.

Authors:  E Meléndez-Hevia; F Mateo; N V Torres
Journal:  Mol Cell Biochem       Date:  1992-09-22       Impact factor: 3.396

Review 5.  Metabolic control analysis: a survey of its theoretical and experimental development.

Authors:  D A Fell
Journal:  Biochem J       Date:  1992-09-01       Impact factor: 3.857

6.  Metabolic control analysis using transient metabolite concentrations. Determination of metabolite concentration control coefficients.

Authors:  J Delgado; J C Liao
Journal:  Biochem J       Date:  1992-08-01       Impact factor: 3.857

7.  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

8.  Application of electrical analogues for control analysis of simple metabolic pathways.

Authors:  A K Sen
Journal:  Biochem J       Date:  1990-11-15       Impact factor: 3.857

9.  Quantitative analysis of metabolic regulation. A graph-theoretic approach using spanning trees.

Authors:  A K Sen
Journal:  Biochem J       Date:  1991-04-01       Impact factor: 3.857

10.  Determination of Flux Control Coefficients from transient metabolite concentrations.

Authors:  J Delgado; J C Liao
Journal:  Biochem J       Date:  1992-03-15       Impact factor: 3.857

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