Literature DB >> 8611147

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

M Ehlde1, G Zacchi.   

Abstract

The influence of experimental errors on the determination of flux control coefficients from transient metabolite concentrations with the method proposed by Delgado and Liao [(1992) Biochem. J. 282, 919-927] has been investigated by using Monte Carlo simulations. The method requires least-squares fitting of the transient metabolite concentrations. Three different fitting methods have been evaluated. Simulated metabolite concentrations of a fictive metabolic pathway were scattered randomly, emulating experimental errors, before performing the fits. This was repeated a large number of times; the mean values and standard deviations of the resulting control coefficients are reported. The results show that the proposed method for determining control coefficients is too sensitive to experimental errors to be practicable, with theoretically justified fitting methods. This is in particular due to the high degree of correlation between the concentrations. An alternative ad hoc fitting method produced biased mean values of the estimates of the control coefficients, but with remarkably low standard deviations.

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Year:  1996        PMID: 8611147      PMCID: PMC1216970          DOI: 10.1042/bj3130721

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


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

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Authors:  M Ehlde; G Zacchi
Journal:  Comput Appl Biosci       Date:  1995-04

6.  The control of flux.

Authors:  H Kacser; J A Burns
Journal:  Symp Soc Exp Biol       Date:  1973
  6 in total
  3 in total

1.  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

2.  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

3.  A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kinetics.

Authors:  I Emrah Nikerel; Wouter A van Winden; Walter M van Gulik; Joseph J Heijnen
Journal:  BMC Bioinformatics       Date:  2006-12-21       Impact factor: 3.169

  3 in total

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