Literature DB >> 718944

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

R G Duggleby, J F Morrison.   

Abstract

The method of progress curve analysis for enzyme-catalyzed reactions (Duggleby, R.G. and Morrison, J.F. (1977) Biochim. Biophys. acta 481, 297--312) has been extended to a two substrate, reversible reaction through the use of enzyme-catalyzed recycling of one of the products. The reaction investigated was that catalyzed by aspartate aminotransferase (L-aspartate:2-oxoglutarate aminotransferase, EC 2.6.1.1) and the product, alpha-ketoglutarate was recycled to glutamate using NADH and NH4Cl in the presence of glutamate dehydrogenase. The values determined for the kinetic parameters of the aminotransferase were found to agree well with those obtained from steady-state velocity measurements. The standard errors of the parameters, as calculated by the procedure originally described, were found to underestimate the observed variation between different experiments. Therefore, a procedure of data compression was devised which leads to more realistic values for standard errors. The compressed data obtained with aspartate aminotransferase have been fitted to the integrated rate equations that describe a variety of kinetic mechanisms. The best fit was obtained with the Ping-Pong model which is applicable to the aspartate aminotransferase reaction. Thus, progress curve analysis may be used to determine the kinetic mechanism of, and values of the kinetic parameters associated with, an enyzme-catalyzed reaction.

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Year:  1978        PMID: 718944     DOI: 10.1016/0005-2744(78)90131-6

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  10 in total

1.  Rapid determination of enzyme kinetics from fluorescence: overcoming the inner filter effect.

Authors:  Mark O Palmier; Steven R Van Doren
Journal:  Anal Biochem       Date:  2007-07-18       Impact factor: 3.365

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

Authors:  R G Duggleby; C Wood
Journal:  Biochem J       Date:  1989-03-01       Impact factor: 3.857

3.  A single-parameter family of adjustments for fitting enzyme kinetic models to progress-curve data.

Authors:  R G Duggleby; J C Nash
Journal:  Biochem J       Date:  1989-01-01       Impact factor: 3.857

4.  Progress-curve analysis in enzyme kinetics. Numerical solution of integrated rate equations.

Authors:  R G Duggleby
Journal:  Biochem J       Date:  1986-04-15       Impact factor: 3.857

5.  Analytical methods for fitting integrated rate equations. A discontinuous assay.

Authors:  E A Boeker
Journal:  Biochem J       Date:  1987-07-01       Impact factor: 3.857

6.  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

7.  Enzyme kinetic studies from progress curves.

Authors:  E I Canela; R Franco
Journal:  Biochem J       Date:  1986-01-15       Impact factor: 3.857

8.  Kinetic analysis of lactate dehydrogenase using integrated rate equations.

Authors:  L D Holmes; M R Schiller; E A Boeker
Journal:  Experientia       Date:  1993-10-15

9.  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

10.  Half-time analysis of the integrated Michaelis equation. Simulation and use of the half-time plot and its direct linear variant in the analysis of some alpha-chymotrypsin, papain- and fumarase-catalysed reactions.

Authors:  C W Wharton; R J Szawelski
Journal:  Biochem J       Date:  1982-05-01       Impact factor: 3.857

  10 in total

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