Literature DB >> 7316974

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

F Solano-Muñoz, W G Bardsley, K J Indge.   

Abstract

Numerous chemical compounds are known that alter the rate of conversion of substrates into products in enzyme-catalysed reactions by interacting with the enzyme rather than substrates. Where this takes place in such a way that the effect is reversible on removing the compound, say by dialysis, and where the compound is unchanged chemically by the enzyme system, we refer to such a compound as a modifier. So protons, inorganic salts, activators, inhibitors or even specific allosteric effectors would all be modifiers, and any chemically reasonable kinetic scheme that is proposed to account for such effects is referred to as modifier mechanism. Three versions of a modifier mechanism of enzyme action are studied. The implicit representation is 2:2 in [S] (with alpha(0)=0) and 2:2 in [M] (with alpha(0) not equal0), and this is a short-hand scheme for the minimum chemical formulation, the explicit one, involving discrete ES and EP species, which is 2:2 in [S] (with alpha(0)=0) and 3:3 in [M] (with alpha(0) not equal0). If m extra steps are allowed between interconversion of ES and EP species, the degree of the rate equation remains 2:2 in [S] (with alpha(0)=0), but increases to degree (m+3):(m+3) in modifier (with alpha(0) not equal0). It is proved that this increase in degree is genuine and that highly complex v([M]) (i.e. v-versus-[M]) curves can occur. Computation of the probabilities of the five possible double-reciprocal plots in 1/v versus 1/[S] show that all of these formulations of the modifier mechanism give similar probabilities, and these are characteristic for the mechanism and quite distinct from the intrinsic curve-shape probabilities. It is also established that the probabilities of alternative complex v([M]) plots are similar for the various formulations, and again the probabilities of the allowed complex curves for the mechanism are quite distinct from the instrinsic probabilities of the ten possible v([M]) curves for a 2:2 function (with alpha(0) not equal0). The computer studies reported lead to several conclusions about the probability of modifiers leading to inhibition or activation or causing changes in v([S]) curve shapes, and suggest that differentiation between model mechanisms may be facilitated by knowledge of the intrinsic curve-shape probabilities for the appropriate degree rational function and the characteristic way that this is altered by specific mechanisms. It is shown that, although in some instances new curve-shape complexities are possible when schemes are considered that allow for interconversion of ES and EP species, these are highly improbable and, for theoretical purposes, schemes formulated with node compression provide good approximations to the more complicated explicit schemes. By node compression we refer to the procedure whereby enzyme kinetic schemes are simplified by replacing sequences of steps such as ESright harpoon over left harpoonX(1)right harpoon over left harpoonX(2)right harpoon over left harpoon...right harpoon over left harpoonEP... by a single step... ES/EP... that does not formally recognize the existence of the intermediate species. We show that the modifier mechanism studied is one where this process alters the form of the rate equation.

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Year:  1981        PMID: 7316974      PMCID: PMC1162930          DOI: 10.1042/bj1950589

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


  14 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.  TREATMENT OF ENZYME KINETIC DATA. I. THE EFFECT OF MODIFIERS ON THE KINETIC PARAMETERS OF SINGLE SUBSTRATE ENZYMERS.

Authors:  C FRIEDEN
Journal:  J Biol Chem       Date:  1964-10       Impact factor: 5.157

3.  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

4.  The reduction in degree of allosteric and other complex rate equations using Sylvester's dialytic method of elimination.

Authors:  W G Bardsley
Journal:  J Theor Biol       Date:  1977-07-07       Impact factor: 2.691

5.  The relationship between co-operativity coefficients, factorability of the allosteric binding polynomial and curve shape.

Authors:  W G Bardsley
Journal:  J Mol Biol       Date:  1977-07-05       Impact factor: 5.469

6.  Dose any enzyme follow the Michaelis-Menten equation?

Authors:  C M Hill; R D Waight; W G Bardsley
Journal:  Mol Cell Biochem       Date:  1977-05-03       Impact factor: 3.396

7.  The structure of steady-state enzyme kinetic equations: a graph-theoretical algorithm for obtaining conditions for reduction in degree by common-factor cancellation.

Authors:  E P Whitehead
Journal:  J Theor Biol       Date:  1979-10-07       Impact factor: 2.691

8.  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

9.  The determination of positive and negative co-operativity with allosteric enzymes and the interpretation of sigmoid curves and non-linear double reciprocal plots for the MWC and KNF models.

Authors:  W G Bardsley; R D Waight
Journal:  J Theor Biol       Date:  1978-01-20       Impact factor: 2.691

10.  Steady-state kinetic studies on benzylamine oxidase from pig plasma.

Authors:  I D Kelly; P F Knowles; K D Yadav; W G Bardsley; P Leff; R D Waight
Journal:  Eur J Biochem       Date:  1981
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  3 in total

1.  A computer program for enzyme kinetics that combines model discrimination, parameter refinement and sequential experimental design.

Authors:  R Franco; M T Gavaldà; E I Canela
Journal:  Biochem J       Date:  1986-09-15       Impact factor: 3.857

2.  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

Review 3.  Parameter Reliability and Understanding Enzyme Function.

Authors:  Andrew G McDonald; Keith F Tipton
Journal:  Molecules       Date:  2022-01-01       Impact factor: 4.411

  3 in total

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