Literature DB >> 8947462

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

E Asante-Appiah1, W W Chan.   

Abstract

The concurrent effects of two enzyme inhibitors have been analysed previously with the Yonetani-Theorell plot to obtain insight into the interactions between bound inhibitors. This procedure, like many other traditional graphical methods in enzymology, is based on the estimation of intersecting tendencies in a family of lines. In a recent paper from this laboratory [Chan (1995) Biochem. J. 311, 981-985] it was shown that a plot of this nature may sometimes be replaced, with advantage, by a 'combination plot' in which all data points are accommodated in a single line. We have now extended this approach to analyse the effects of multiple inhibitors and have developed combination plots which illustrate the interaction behaviour in an optimal manner. Thus, in these plots, the synergistic or antagonistic nature of the interactions is clearly evident from the slope, which also provides a direct estimate of the interaction coefficient. The analysis is more efficient and consequently requires fewer enzyme assays. This approach is applicable to various special cases, including that in which three inhibitors bind simultaneously to the enzyme.

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Year:  1996        PMID: 8947462      PMCID: PMC1217892          DOI: 10.1042/bj3200017

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


  17 in total

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Authors:  M DiGregorio; D S Pickering; W W Chan
Journal:  Biochemistry       Date:  1988-05-17       Impact factor: 3.162

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Authors:  W W Chan
Journal:  Biochem J       Date:  1995-11-01       Impact factor: 3.857

8.  General occurrence of binding synergism in zinc proteases and its possible significance.

Authors:  W W Chan; R A Pfuetzner
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Journal:  Biochem Biophys Res Commun       Date:  1967-04-20       Impact factor: 3.575

10.  Synergistic binding of inhibitors to the protease from HIV type 1.

Authors:  E Asante-Appiah; W W Chan
Journal:  Biochem J       Date:  1996-04-01       Impact factor: 3.857

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  4 in total

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