Literature DB >> 125616

Mathematical analysis of multienzyme systems. II. Steady state and transient control.

R Heinrich, T A Rapoport.   

Abstract

The control theory of steady states, previously presented for linear enzymatic systems (Heinrich and Rapoport, 1974) is extended to nonlinear systems. On the basis of three theorems a new procedure for the calculation of the control strength and of the control matrix is developed. The theory is applied to the extended model of glycolysis of erythrocytes, which includes also ATP-consuming processes. Also in this model the glycolytic flux is mainly controlled by the hexokinase-phosphofructokinase-system. The control strengths of the pyruvate kinase and of the enzymes of the 2.3 P2G-bypass are negligibly small. The control strength of the ATPase is negative, i.e. an activation of this enzyme leads to a decrease of the flux. For transition states of multienzyme systems definitions are given for the mean time required for the transition of the metabolites and for the "transient control" of enzymes. Enzymes with a pronounced influence on the transition time are called time-limiting enzymes. Enzymes which excert strong control on the time-dependent processes may have little influence under steady state conditions and vice versa. The transition times of ATP have been calculated for transient states of glycolysis.

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Year:  1975        PMID: 125616     DOI: 10.1016/0303-2647(75)90050-7

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  38 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.  Effect of cellular interaction on glycolytic oscillations in yeast: a theoretical investigation.

Authors:  J Wolf; R Heinrich
Journal:  Biochem J       Date:  2000-01-15       Impact factor: 3.857

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.  Description and analysis of metabolic connectivity and dynamics in the human red blood cell.

Authors:  Kenneth J Kauffman; John David Pajerowski; Neema Jamshidi; Bernhard O Palsson; Jeremy S Edwards
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

5.  Systems biology towards life in silico: mathematics of the control of living cells.

Authors:  Hans V Westerhoff; Alexey Kolodkin; Riaan Conradie; Stephen J Wilkinson; Frank J Bruggeman; Klaas Krab; Jan H van Schuppen; Hanna Hardin; Barbara M Bakker; Martijn J Moné; Katja N Rybakova; Marco Eijken; Hans J P van Leeuwen; Jacky L Snoep
Journal:  J Math Biol       Date:  2008-02-16       Impact factor: 2.259

6.  Control analysis of transition times. Extension of analysis and matrix method.

Authors:  M Cascante; N V Torres; R Franco; E Meléndez-Hevia; E I Canela
Journal:  Mol Cell Biochem       Date:  1991-02-27       Impact factor: 3.396

7.  The regulatory principles of glycolysis in erythrocytes in vivo and in vitro. A minimal comprehensive model describing steady states, quasi-steady states and time-dependent processes.

Authors:  T A Rapoport; R Heinrich; S M Rapoport
Journal:  Biochem J       Date:  1976-02-15       Impact factor: 3.857

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

Authors:  L Acerenza; H Kacser
Journal:  Biochem J       Date:  1990-08-01       Impact factor: 3.857

9.  Integration of temporal analysis and control analysis of metabolic systems.

Authors:  J S Easterby
Journal:  Biochem J       Date:  1990-07-01       Impact factor: 3.857

10.  Metabolic control analysis of glycerol synthesis in Saccharomyces cerevisiae.

Authors:  Garth R Cronwright; Johann M Rohwer; Bernard A Prior
Journal:  Appl Environ Microbiol       Date:  2002-09       Impact factor: 4.792

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