Literature DB >> 7487960

Combination plots as graphical tools in the study of enzyme inhibition.

W W Chan1.   

Abstract

Although statistical regression has become the method of choice in the analysis of enzyme kinetics, graphical methods continue to be useful on account of their illustrative capabilities. It is pointed out in this paper that enzyme inhibition data may be presented more efficiently as a single linear plot than the traditional way as a family of lines. This approach has been taken previously by Hunter and Downs [Hunter and Downs (1945) J. Biol. Chem. 157, 427-446] but has remained neglected. A new version of this type of plot (combination plot) has been devised which is linear for competitive, non-competitive, uncompetitive and linear mixed inhibition and has a characteristic appearance for each type of inhibition behaviour. The slopes and intercepts not only indicate directly the dissociation constant but also provide quantitative criteria for the nature of inhibition. This plot should serve as a useful graphical tool in enzyme research as well as in biochemical education.

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Year:  1995        PMID: 7487960      PMCID: PMC1136098          DOI: 10.1042/bj3110981

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


  8 in total

1.  A COMPARISON OF ESTIMATES OF MICHAELIS-MENTEN KINETIC CONSTANTS FROM VARIOUS LINEAR TRANSFORMATIONS.

Authors:  J E DOWD; D S RIGGS
Journal:  J Biol Chem       Date:  1965-02       Impact factor: 5.157

2.  Adenosinetriphosphate-creatine transphosphorylase. III. Kinetic studies.

Authors:  S A KUBY; L NODA; H A LARDY
Journal:  J Biol Chem       Date:  1954-09       Impact factor: 5.157

3.  The determination of enzyme inhibitor constants.

Authors:  M DIXON
Journal:  Biochem J       Date:  1953-08       Impact factor: 3.857

4.  Studies on plant amylases: The effect of starch concentration upon the velocity of hydrolysis by the amylase of germinated barley.

Authors:  C S Hanes
Journal:  Biochem J       Date:  1932       Impact factor: 3.857

Review 5.  Fitting curves to data using nonlinear regression: a practical and nonmathematical review.

Authors:  H J Motulsky; L A Ransnas
Journal:  FASEB J       Date:  1987-11       Impact factor: 5.191

6.  A simple graphical method for determining the inhibition constants of mixed, uncompetitive and non-competitive inhibitors.

Authors:  A Cornish-Bowden
Journal:  Biochem J       Date:  1974-01       Impact factor: 3.857

7.  Purification and properties of alanopine dehydrogenase from the adductor muscle of the oyster, Crassostrea gigas (Mollusca, Bivalvia).

Authors:  J H Fields; P W Hochachka
Journal:  Eur J Biochem       Date:  1981-03

8.  Statistical analysis of enzyme kinetic data.

Authors:  W W Cleland
Journal:  Methods Enzymol       Date:  1979       Impact factor: 1.600

  8 in total
  4 in total

1.  A normalized plot as a novel and time-saving tool in complex enzyme kinetic analysis.

Authors:  I G Bravo; F Busto; D De Arriaga; M A Ferrero; L B Rodríguez-Aparicio; H Martínez-Blanco; A Reglero
Journal:  Biochem J       Date:  2001-09-15       Impact factor: 3.857

2.  Analysis of the interactions between an enzyme and multiple inhibitors using combination plots.

Authors:  E Asante-Appiah; W W Chan
Journal:  Biochem J       Date:  1996-11-15       Impact factor: 3.857

3.  Demonstration that 1-trans-epoxysuccinyl-L-leucylamido-(4-guanidino) butane (E-64) is one of the most effective low Mr inhibitors of trypsin-catalysed hydrolysis. Characterization by kinetic analysis and by energy minimization and molecular dynamics simulation of the E-64-beta-trypsin complex.

Authors:  S K Sreedharan; C Verma; L S Caves; S M Brocklehurst; S E Gharbia; H N Shah; K Brocklehurst
Journal:  Biochem J       Date:  1996-06-15       Impact factor: 3.857

4.  Mutual regioselective inhibition of human UGT1A1-mediated glucuronidation of four flavonoids.

Authors:  Guo Ma; Baojian Wu; Song Gao; Zhen Yang; Yong Ma; Ming Hu
Journal:  Mol Pharm       Date:  2013-07-17       Impact factor: 4.939

  4 in total

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