Limitations of conventional inhibitor classifications.

IF 1.4
Ryan Walsh, Earl Martin, Sultan Darvesh
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引用次数: 15

Abstract

Enzyme inhibitors are usually classified as competitive, non-competitive or mixed non-competitive. Each of these designations has a serious limitation in that it only describes an extreme of inhibitory behaviour. The non-competitive inhibition equation only considers an approach to complete inhibition of the catalytic turnover rate, while the competitive inhibition equation predicts an infinite increase in the Michaelis-Menten constant (decrease in enzyme affinity for substrate), resulting from increased inhibitor concentration. Both of these models exclude the possibility of a finite inhibitor-induced change in the kinetic parameters of the enzyme they are affecting. They also exclude the possibility of an inhibitor affecting both the substrate affinity and the catalytic turnover at the same time. Mixed non-competitive inhibition describes a hybrid form of inhibition displaying some characteristics of both competitive and non-competitive inhibition. It also suffers from an inability to describe finite changes in activity and to describe concomitant changes in substrate affinity and catalytic turnover. Two inhibitor binding constants are invoked in this equation, suggesting that such inhibitors interact with the enzyme in two completely independent manners. From these considerations, it is suggested here that conventional equations do not adequately describe observed kinetic data due to a lack of distinction between the mass action binding term describing inhibitor-enzyme association and the terms representing the actual effect of the inhibitor on the enzyme. Herein we describe an alternate approach for representing enzyme activity modulation based on a re-examination of conventional inhibition equations. The arguments presented are illustrated using the known competitive inhibition of Kallikrein with benzamidine.

传统抑制剂分类的局限性。
酶抑制剂通常分为竞争性、非竞争性或混合非竞争性。这些名称都有严重的局限性,因为它们只描述了一种极端的抑制行为。非竞争性抑制方程只考虑完全抑制催化周转率的方法,而竞争性抑制方程预测由于抑制剂浓度的增加,Michaelis-Menten常数(酶对底物的亲和力降低)会无限增加。这两种模型都排除了它们所影响的酶的动力学参数有限的抑制剂诱导变化的可能性。它们还排除了抑制剂同时影响底物亲和力和催化周转的可能性。混合非竞争性抑制描述了一种混合形式的抑制,显示出竞争性和非竞争性抑制的某些特征。它也无法描述活性的有限变化,也无法描述底物亲和力和催化周转的伴随变化。在这个方程中调用了两个抑制剂结合常数,表明这些抑制剂以两种完全独立的方式与酶相互作用。从这些考虑,这里建议,由于缺乏描述抑制剂-酶结合的质量作用结合项和代表抑制剂对酶的实际作用的项之间的区别,传统方程不能充分描述观察到的动力学数据。在这里,我们描述了一种替代的方法来表示酶活性调节的基础上,重新检查传统的抑制方程。所提出的论点是用已知的卡利克rein与苯脒的竞争性抑制来说明的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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