Literature DB >> 2039473

Analysis and characterization of transition states in metabolic systems. Transition times and the passivity of the output flux.

N V Torres1, J Sicilia, E Meléndez-Hevia.   

Abstract

In this paper we study the transitions between steady states in metabolic systems. In order to deal with this task we divided the total metabolite concentration at steady state, sigma, into two new fractions, delta (the Output Transition Time) and tau beta (Input Transition Time), which are related with the course of output and input mass to the system respectively. We show the equivalence time between these terms and the Total Transition Time, tau T, previously defined [Easterby (1986) Biochem. J. 233, 871-875]. Next, we define a new magnitude, the Output Passivity of a transition, rho, which quantifies a new aspect of the transition phase that we call the passivity of the output progress curve. With these magnitudes, all of them being experimentally accessible, several features of the transient state can be measured. We apply the present analysis to (a) the case of coupled enzyme assays, which allows us to reach conclusions about the progress curves in these particular transitions and the equivalence between tau sigma and tau delta, and (b) some experimental results that allow us to discuss the biological significance of the Output Passivity in the transition between steady states in metabolic systems.

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Year:  1991        PMID: 2039473      PMCID: PMC1151169          DOI: 10.1042/bj2760231

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


  13 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

2.  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

3.  The effect of feedback on pathway transient response.

Authors:  J S Easterby
Journal:  Biochem J       Date:  1986-02-01       Impact factor: 3.857

4.  The kinetics of coupled enzyme reactions. Applications to the assay of glucokinase, with glucose 6-phosphate dehydrogenase as coupling enzyme.

Authors:  A C Storer; A Cornish-Bowden
Journal:  Biochem J       Date:  1974-07       Impact factor: 3.857

5.  A kinetic analysis of coupled enzyme assays.

Authors:  W R McClure
Journal:  Biochemistry       Date:  1969-07       Impact factor: 3.162

6.  Coupled enzyme assays: a general expression for the transient.

Authors:  J S Easterby
Journal:  Biochim Biophys Acta       Date:  1973-02-15

7.  Theory and practical application of coupled enzyme reactions: one and two auxiliary enzymes.

Authors:  S P Brooks; T Espinola; C H Suelter
Journal:  Can J Biochem Cell Biol       Date:  1984-10

8.  The kinetics of consecutive enzyme reactions. The design of coupled assays and the temporal response of pathways.

Authors:  J S Easterby
Journal:  Biochem J       Date:  1984-05-01       Impact factor: 3.857

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.  Optimizing enzyme assays with one or two coupling enzymes.

Authors:  F García-Carmona; F García-Cánovas; J A Lozano
Journal:  Anal Biochem       Date:  1981-05-15       Impact factor: 3.365

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  4 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.  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

3.  Transient times in linear metabolic pathways under constant affinity constraints.

Authors:  M Lloréns; J C Nuño; F Montero
Journal:  Biochem J       Date:  1997-10-15       Impact factor: 3.857

4.  Optimization of molecular design in the evolution of metabolism: the glycogen molecule.

Authors:  E Meléndez-Hevia; T G Waddell; E D Shelton
Journal:  Biochem J       Date:  1993-10-15       Impact factor: 3.857

  4 in total

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