Literature DB >> 2705990

Analysis of progress curves for enzyme-catalysed reactions. Automatic construction of computer programs for fitting integrated rate equations.

R G Duggleby1, C Wood.   

Abstract

The computer analysis of progress curves for enzyme-catalysed reactions involves a series of mathematical and computational tasks. The three most daunting of these are the derivation of an integrated rate equation, solving this equation so that the amount of product formed by the reaction at any time can be calculated, and incorporating this solution into a non-linear-regression computer program. This paper describes the basis of a computer program that greatly simplifies the problem. The proposed mechanism is specified in the familiar kinetic constant form, which is automatically translated into a program capable of fitting this mechanism to a series of experimental progress curves. The approach is illustrated for a reversible reaction with one substrate and one product, and tested with some data obtained for the fumarase reaction. A copy of the program has been deposited as Supplementary Publication SUP 50148 (13 pages) at the British Library Document Supply Centre, Boston Spa, Wetherby, West Yorkshire LS23 7BQ, U.K., from whom copies can be obtained on the terms indicated in Biochem. J. (1989) 257, 5.

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Year:  1989        PMID: 2705990      PMCID: PMC1138375          DOI: 10.1042/bj2580397

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


  16 in total

1.  Integrated steady state rate equations and the determination of individual rate constants.

Authors:  I G Darvey; R Shrager; L D Kohn
Journal:  J Biol Chem       Date:  1975-06-25       Impact factor: 5.157

2.  The analysis of progress curves for enzyme-catalysed reactions by non-linear regression.

Authors:  R G Duggleby; J F Morrison
Journal:  Biochim Biophys Acta       Date:  1977-04-12

3.  A simple test for inactivation of an enzyme during assay.

Authors:  M J Selwyn
Journal:  Biochim Biophys Acta       Date:  1965-07-29

4.  Statistical estimations in enzyme kinetics. The integrated Michaelis equation.

Authors:  H N Fernley
Journal:  Eur J Biochem       Date:  1974-04-01

5.  Integrated rate equations for irreversible enzyme-catalysed first-order and second-order reactions.

Authors:  E A Boeker
Journal:  Biochem J       Date:  1985-02-15       Impact factor: 3.857

6.  Regression analysis of nonlinear Arrhenius plots: an empirical model and a computer program.

Authors:  R G Duggleby
Journal:  Comput Biol Med       Date:  1984       Impact factor: 4.589

7.  Integrated rate equations for enzyme-catalysed first-order and second-order reactions.

Authors:  E A Boeker
Journal:  Biochem J       Date:  1984-10-01       Impact factor: 3.857

8.  Estimation of the initial velocity of enzyme-catalysed reactions by non-linear regression analysis of progress curves.

Authors:  R G Duggleby
Journal:  Biochem J       Date:  1985-05-15       Impact factor: 3.857

9.  Progress curve analysis in enzyme kinetics: model discrimination and parameter estimation.

Authors:  R G Duggleby; J F Morrison
Journal:  Biochim Biophys Acta       Date:  1978-10-12

10.  The use of steady-state rate equations to analyse progress curve data.

Authors:  R G Duggleby; J F Morrison
Journal:  Biochim Biophys Acta       Date:  1979-06-06
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  5 in total

1.  Precise, facile initial rate measurements.

Authors:  Qingxiu Tang; Thomas S Leyh
Journal:  J Phys Chem B       Date:  2010-08-24       Impact factor: 2.991

2.  Progress-curve equations for reversible enzyme-catalysed reactions inhibited by tight-binding inhibitors.

Authors:  S E Szedlacsek; V Ostafe; R G Duggleby; M Serban; M O Vlad
Journal:  Biochem J       Date:  1990-02-01       Impact factor: 3.857

3.  Towards in vivo estimation of reaction kinetics using high-throughput metabolomics data: a maximum likelihood approach.

Authors:  Weiruo Zhang; Ritesh Kolte; David L Dill
Journal:  BMC Syst Biol       Date:  2015-10-05

4.  Quantitative full time course analysis of nonlinear enzyme cycling kinetics.

Authors:  Wenxiang Cao; Enrique M De La Cruz
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

5.  Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters.

Authors:  Boseung Choi; Grzegorz A Rempala; Jae Kyoung Kim
Journal:  Sci Rep       Date:  2017-12-05       Impact factor: 4.379

  5 in total

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