Literature DB >> 1259708

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

W G Bardsley.   

Abstract

1. The eight methods for plotting enzyme kinetic data are classified and analysed, and it is shown how, in each case, it is only possible to obtain quantitative data on the coefficients of the lowest- and highest-degree terms in the rate equation. 2. The combinations of coefficients that are accessible experimentally from limiting slopes and intercepts at both low and high substrate concentration are stated for all the graphical methods and the precise effects of these on curve shape in different spaces is discussed. 3. Ambiguities arising in the analysis of complex curves and certain special features are also investigated. 4. Four special ordering functions are defined and investigated and it is shown how knowledge of these allows a complete description of all possible complex curve shapes.

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Year:  1976        PMID: 1259708      PMCID: PMC1172546          DOI: 10.1042/bj1530101

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


  2 in total

1.  Allosteric and related phenomena: an analysis of sigmoid and non-hyperbolic functions.

Authors:  R E Childs; W G Bardsley
Journal:  J Theor Biol       Date:  1975-03       Impact factor: 2.691

2.  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 in total
  9 in total

1.  Deviation from Michaelis-Menten kinetics for fumarase.

Authors:  M J Crabbe; W G Bardsley
Journal:  Biochem J       Date:  1976-08-01       Impact factor: 3.857

2.  Steady-state kinetic studies of the negative co-operativity and flip-flop mechanism for Escherichia coli alkaline phosphatase.

Authors:  R D Waight; P Leff; W G Bardsley
Journal:  Biochem J       Date:  1977-12-01       Impact factor: 3.857

3.  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

4.  Inhibition patterns of a model complex mimicking the reductive half-reaction of sulphite oxidase.

Authors:  P K Chaudhury; S K Das; S Sarkar
Journal:  Biochem J       Date:  1996-11-01       Impact factor: 3.857

5.  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

6.  Deviations from Michaelis-Menten kinetics. The possibility of complicated curves for simple kinetic schemes and the computer fitting of experimental data for acetylcholinesterase, acid phosphatase, adenosine deaminase, arylsulphatase, benzylamine oxidase, chymotrypsin, fumarase, galactose dehydrogenase, beta-galactosidase, lactate dehydrogenase, peroxidase and xanthine oxidase.

Authors:  W G Bardsley; P Leff; J Kavanagh; R D Waight
Journal:  Biochem J       Date:  1980-06-01       Impact factor: 3.857

7.  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

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

Authors:  F Solano-Muñoz; P B McGinlay; R Woolfson; W G Bardsley
Journal:  Biochem J       Date:  1981-01-01       Impact factor: 3.857

9.  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

  9 in total

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