Literature DB >> 7305929

Deviations from Michaelis-Menten kinetics. Computation of the probabilities of obtaining complex curves from simple kinetic schemes.

F Solano-Muñoz, P B McGinlay, R Woolfson, W G Bardsley.   

Abstract

1. It is possible to calculate the intrinsic probability associated with any curve shape that is allowed for rational functions of given degree when the coefficients are independent or dependent random variables with known probability distributions. 2. Computations of such probabilities are described when the coefficients of the rational function are generated according to several probability distribution functions and in particular when rate constants are varied randomly for several simple model mechanisms. 3. It is concluded that each molecular mechanism is associated with a specific set of curve-shape probabilities, and this could be of value in discriminating between model mechanisms. 4. It is shown how a computer program can be used to estimate the probability of new complexities such as extra inflexions and turning points as the degree of rate equations increases. 5. The probability of 3 : 3 rate equations giving 2 : 2 curve shapes is discussed for unrestricted coefficients and also for the substrate-modifier mechanisms. 6. The probability associated with the numerical values of coefficients in rate equations is also calculated for this mechanism, and a possible method for determining the approximate magnitude of product-release steps is given. 7. The computer programs used in the computations have been deposited as Supplement SUP 50113 (21 pages) with the British Library Lending Division, Boston Spa, Wetherby, West Yorkshire LS23 7BQ, U.K., from whom copies can be obtained on the terms indicated in Biochem, J. (1978) 169, 5.

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Year:  1981        PMID: 7305929      PMCID: PMC1162606          DOI: 10.1042/bj1930339

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


  19 in total

1.  Sigmoid curves, non-linear double-reciprocal plots and allosterism.

Authors:  W G Bardsley; R E Childs
Journal:  Biochem J       Date:  1975-08       Impact factor: 3.857

2.  ON THE NATURE OF ALLOSTERIC TRANSITIONS: A PLAUSIBLE MODEL.

Authors:  J MONOD; J WYMAN; J P CHANGEUX
Journal:  J Mol Biol       Date:  1965-05       Impact factor: 5.469

3.  An analysis of non-linear Eadie-Hofstee-Scatchard representations of ligand-binding and initial-rate data for allosteric and other complex enzyme mechanisms.

Authors:  R E Childs; W G Bardsley
Journal:  J Theor Biol       Date:  1976-11       Impact factor: 2.691

4.  The quantitative analysis of ligand binding and initial-rate data for allosteric and other complex enzyme mechanisms.

Authors:  W G Bardsley
Journal:  Biochem J       Date:  1976-01-01       Impact factor: 3.857

5.  A mathematical analysis of the substrate effect observed in 3beta-hydroxysteroid dehydrogenase reactions of rat testicular microsomes.

Authors:  M Katsumata; A S Goldman
Journal:  J Biochem       Date:  1976-03       Impact factor: 3.387

6.  A new method for deriving steady-state rate equations suitable for manual or computer use.

Authors:  K J Indge; R E Childs
Journal:  Biochem J       Date:  1976-06-01       Impact factor: 3.857

7.  The interpretation of non-hyperbolic rate curves for two-substrate enzymes. A possible mechanism for phosphofructokinase.

Authors:  W Ferdinand
Journal:  Biochem J       Date:  1966-01       Impact factor: 3.857

8.  The kinetics of product inhibition in the ternary-complex mechanism for enzyme reactions involving two substrates.

Authors:  G Pettersson
Journal:  Acta Chem Scand       Date:  1972

9.  The 3:3 function in enzyme kinetics possible shapes of v/S and (1/v)/(1/S) plots for third degree steady-state rate equations.

Authors:  W G Bardsley
Journal:  J Theor Biol       Date:  1977-03-21       Impact factor: 2.691

10.  The steady-state kinetics of peroxidase with 2,2'-azino-di-(3-ethyl-benzthiazoline-6-sulphonic acid) as chromogen.

Authors:  R E Childs; W G Bardsley
Journal:  Biochem J       Date:  1975-01       Impact factor: 3.857

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  2 in total

1.  Use of the F test for determining the degree of enzyme-kinetic and ligand-binding data. A Monte Carlo simulation study.

Authors:  F J Burguillo; A J Wright; W G Bardsley
Journal:  Biochem J       Date:  1983-04-01       Impact factor: 3.857

2.  The probability that complex enzyme kinetic curves can be caused by activators of inhibitors.

Authors:  F Solano-Muñoz; W G Bardsley; K J Indge
Journal:  Biochem J       Date:  1981-06-01       Impact factor: 3.857

  2 in total

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