Literature DB >> 9003411

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

J Nielsen1.   

Abstract

Metabolic control analysis is a powerful technique for the evaluation of flux control within biochemical pathways. Its foundation is the elasticity coefficients and the flux control coefficients (FCCs). On the basis of a thermokinetic description of reaction rates it is here shown that the elasticity coefficients can be calculated directly from the pool levels of metabolites at steady state. The only requirement is that one thermodynamic parameter be known, namely the reaction affinity at the intercept of the tangent in the inflection point of the curve of reaction rate against reaction affinity. This parameter can often be determined from experiments in vitro. The methodology is applicable only to the analysis of simple two-step pathways, but in many cases larger pathways can be lumped into two overall conversions. In cases where this cannot be done it is necessary to apply an extension of the thermokinetic description of reaction rates to include the influence of effectors. Here the reaction rate is written as a linear function of the logarithm of the metabolite concentrations. With this type of rate function it is shown that the approach of Delgado and Liao [Biochem. J. (1992) 282, 919-927] can be much more widely applied, although it was originally based on linearized kinetics. The methodology of determining elasticity coefficients directly from pool levels is illustrated with an analysis of the first two steps of the biosynthetic pathway of penicillin. The results compare well with previous findings based on a kinetic analysis.

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Year:  1997        PMID: 9003411      PMCID: PMC1218046          DOI: 10.1042/bj3210133

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


  20 in total

1.  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

Review 2.  Toward a science of metabolic engineering.

Authors:  J E Bailey
Journal:  Science       Date:  1991-06-21       Impact factor: 47.728

3.  A 'top-down' approach to the determination of control coefficients in metabolic control theory.

Authors:  G C Brown; R P Hafner; M D Brand
Journal:  Eur J Biochem       Date:  1990-03-10

4.  Metabolic control analysis of the penicillin biosynthetic pathway in a high-yielding strain of Penicillium chrysogenum.

Authors:  J Nielsen; H S Jørgensen
Journal:  Biotechnol Prog       Date:  1995 May-Jun

Review 5.  Metabolic engineering--methodologies and future prospects.

Authors:  G Stephanopoulos; A J Sinskey
Journal:  Trends Biotechnol       Date:  1993-09       Impact factor: 19.536

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

Review 7.  Cellular and metabolic engineering. An overview.

Authors:  D C Cameron; I T Tong
Journal:  Appl Biochem Biotechnol       Date:  1993 Jan-Feb       Impact factor: 2.926

8.  Linear relation between rate and thermodynamic force in enzyme-catalyzed reactions.

Authors:  R Van der Meer; H V Westeroff; K Van Dam
Journal:  Biochim Biophys Acta       Date:  1980-07-08

9.  Continuous cultivation of Penicillium chrysogenum. Growth on glucose and penicillin production.

Authors:  L H Christensen; C M Henriksen; J Nielsen; J Villadsen; M Egel-Mitani
Journal:  J Biotechnol       Date:  1995-09-29       Impact factor: 3.307

10.  Analysis of penicillin V biosynthesis during fed-batch cultivations with a high-yielding strain of Penicillium chrysogenum.

Authors:  H Jørgensen; J Nielsen; J Villadsen; H Møllgaard
Journal:  Appl Microbiol Biotechnol       Date:  1995-04       Impact factor: 4.813

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  11 in total

1.  Thermodynamic calculations for biochemical transport and reaction processes in metabolic networks.

Authors:  Stefan J Jol; Anne Kümmel; Vassily Hatzimanikatis; Daniel A Beard; Matthias Heinemann
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

2.  Thermodynamics-based metabolic flux analysis.

Authors:  Christopher S Henry; Linda J Broadbelt; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2006-12-15       Impact factor: 4.033

3.  Optimization of the quenching method for metabolomics analysis of Lactobacillus bulgaricus.

Authors:  Ming-ming Chen; Ai-li Li; Mao-cheng Sun; Zhen Feng; Xiang-chen Meng; Ying Wang
Journal:  J Zhejiang Univ Sci B       Date:  2014-04       Impact factor: 3.066

4.  Purification and characterization of delta-(L-alpha-aminoadipyl)-L-cysteinyl-D-valine synthetase from Penicillium chrysogenum.

Authors:  H B Theilgaard; K N Kristiansen; C M Henriksen; J Nielsen
Journal:  Biochem J       Date:  1997-10-01       Impact factor: 3.857

5.  Putative regulatory sites unraveled by network-embedded thermodynamic analysis of metabolome data.

Authors:  Anne Kümmel; Sven Panke; Matthias Heinemann
Journal:  Mol Syst Biol       Date:  2006-06-20       Impact factor: 11.429

6.  Dynamics of benzoate metabolism in Pseudomonas putida KT2440.

Authors:  Suresh Sudarsan; Lars M Blank; Alexander Dietrich; Oliver Vielhauer; Ralf Takors; Andreas Schmid; Matthias Reuss
Journal:  Metab Eng Commun       Date:  2016-03-15

7.  Metabolic control analysis of L-tryptophan producing Escherichia coli applying targeted perturbation with shikimate.

Authors:  Kristin Schoppel; Natalia Trachtmann; Fabian Mittermeier; Georg A Sprenger; Dirk Weuster-Botz
Journal:  Bioprocess Biosyst Eng       Date:  2021-09-14       Impact factor: 3.210

8.  Production of L-carnitine by secondary metabolism of bacteria.

Authors:  Vicente Bernal; Angel Sevilla; Manuel Cánovas; José L Iborra
Journal:  Microb Cell Fact       Date:  2007-10-02       Impact factor: 5.328

9.  Pathway thermodynamics highlights kinetic obstacles in central metabolism.

Authors:  Elad Noor; Arren Bar-Even; Avi Flamholz; Ed Reznik; Wolfram Liebermeister; Ron Milo
Journal:  PLoS Comput Biol       Date:  2014-02-20       Impact factor: 4.475

Review 10.  Quantification of Microbial Phenotypes.

Authors:  Verónica S Martínez; Jens O Krömer
Journal:  Metabolites       Date:  2016-12-09
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