Literature DB >> 1554375

Determination of Flux Control Coefficients from transient metabolite concentrations.

J Delgado1, J C Liao.   

Abstract

Flux Control Coefficients have been used in the analysis of metabolic regulation for quantifying the effect of an enzyme on the overall steady-state flux. However, the experimental determination of these coefficients is very time-consuming, involving either determining the individual enzyme kinetics or perturbing the enzyme activity by genetic or other means. We developed a methodology that enables the determination of the Flux Control Coefficients from transient metabolite concentrations without knowing kinetic parameters. The transient states can be generated by changing the incubation conditions or adding the initial substrate. This approach is suitable for investigating metabolic regulation in vivo or multiple enzyme systems in vitro. It is particularly helpful if used in conjunction with n.m.r. measurements. The approach is based on a relationship between transient metabolite concentrations and the Flux Control Coefficients. The methodology has been improved from our previous results, and it is illustrated by three examples with simple pathway topologies.

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Year:  1992        PMID: 1554375      PMCID: PMC1130875          DOI: 10.1042/bj2820919

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


  16 in total

Review 1.  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

2.  Control of respiration in non-phosphorylating mitochondria is shared between the proton leak and the respiratory chain.

Authors:  M D Brand; R P Hafner; G C Brown
Journal:  Biochem J       Date:  1988-10-15       Impact factor: 3.857

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Authors:  E Meléndez-Hevia; N V Torres; J Sicilia
Journal:  J Theor Biol       Date:  1990-02-22       Impact factor: 2.691

4.  Study of the flux and transition time control coefficient profiles in a metabolic system in vitro and the effect of an external stimulator.

Authors:  N V Torres; R Souto; E Meléndez-Hevia
Journal:  Biochem J       Date:  1989-06-15       Impact factor: 3.857

5.  Kinetics of metabolic pathways. A system in vitro to study the control of flux.

Authors:  N V Torres; F Mateo; E Meléndez-Hevia; H Kacser
Journal:  Biochem J       Date:  1986-02-15       Impact factor: 3.857

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

7.  Control analysis of mammalian serine biosynthesis. Feedback inhibition on the final step.

Authors:  D A Fell; K Snell
Journal:  Biochem J       Date:  1988-11-15       Impact factor: 3.857

8.  Control of the flux in the arginine pathway of Neurospora crassa. Modulations of enzyme activity and concentration.

Authors:  H J Flint; R W Tateson; I B Barthelmess; D J Porteous; W D Donachie; H Kacser
Journal:  Biochem J       Date:  1981-11-15       Impact factor: 3.857

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Authors:  D A Fell; H M Sauro
Journal:  Eur J Biochem       Date:  1985-05-02

10.  Quantification of the contribution of various steps to the control of mitochondrial respiration.

Authors:  A K Groen; R J Wanders; H V Westerhoff; R van der Meer; J M Tager
Journal:  J Biol Chem       Date:  1982-03-25       Impact factor: 5.157

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  10 in total

Review 1.  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

2.  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

3.  Metabolic control analysis of biochemical pathways based on a thermokinetic description of reaction rates.

Authors:  J Nielsen
Journal:  Biochem J       Date:  1997-01-01       Impact factor: 3.857

Review 4.  Potential of metabolic engineering in bacterial nanosilver synthesis.

Authors:  Sayak Mitra; Ashmita Das; Shampa Sen; Biswanath Mahanty
Journal:  World J Microbiol Biotechnol       Date:  2018-08-23       Impact factor: 3.312

5.  Evolution of flux control in the glucosinolate pathway in Arabidopsis thaliana.

Authors:  Carrie F Olson-Manning; Cheng-Ruei Lee; Mark D Rausher; Thomas Mitchell-Olds
Journal:  Mol Biol Evol       Date:  2012-08-25       Impact factor: 16.240

6.  Influence of experimental errors on the determination of flux control coefficients from transient metabolite concentrations.

Authors:  M Ehlde; G Zacchi
Journal:  Biochem J       Date:  1996-02-01       Impact factor: 3.857

7.  Structure identifiability in metabolic pathways: parameter estimation in models based on the power-law formalism.

Authors:  A Sorribas; M Cascante
Journal:  Biochem J       Date:  1994-03-01       Impact factor: 3.857

8.  Optimization of a blueprint for in vitro glycolysis by metabolic real-time analysis.

Authors:  Matthias Bujara; Michael Schümperli; René Pellaux; Matthias Heinemann; Sven Panke
Journal:  Nat Chem Biol       Date:  2011-03-20       Impact factor: 15.040

9.  Hybrid dynamic/static method for large-scale simulation of metabolism.

Authors:  Katsuyuki Yugi; Yoichi Nakayama; Ayako Kinoshita; Masaru Tomita
Journal:  Theor Biol Med Model       Date:  2005-10-04       Impact factor: 2.432

10.  Estimating parameters for generalized mass action models with connectivity information.

Authors:  Chih-Lung Ko; Eberhard O Voit; Feng-Sheng Wang
Journal:  BMC Bioinformatics       Date:  2009-05-11       Impact factor: 3.169

  10 in total

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