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变构和药物发现中的群体转移。

Allostery and population shift in drug discovery.

机构信息

Center for Computational Biology and Bioinformatics and College of Engineering, Koc University Rumelifeneri Yolu, 34450 Sariyer Istanbul, Turkey.

出版信息

Curr Opin Pharmacol. 2010 Dec;10(6):715-22. doi: 10.1016/j.coph.2010.09.002. Epub 2010 Sep 29.

Abstract

Proteins can exist in a large number of conformations around their native states that can be characterized by an energy landscape. The landscape illustrates individual valleys, which are the conformational substates. From the functional standpoint, there are two key points: first, all functionally relevant substates pre-exist; and second, the landscape is dynamic and the relative populations of the substates will change following allosteric events. Allosteric events perturb the structure, and the energetic strain propagates and shifts the population. This can lead to changes in the shapes and properties of target binding sites. Here we present an overview of dynamic conformational ensembles focusing on allosteric events in signaling. We propose that combining equilibrium fluctuation concepts with genomic screens could help drug discovery.

摘要

蛋白质在其天然状态周围可以存在大量构象,这些构象可以用能量景观来描述。该景观说明了各个山谷,也就是构象亚稳态。从功能的角度来看,有两个关键点:首先,所有与功能相关的亚稳态都预先存在;其次,景观是动态的,亚稳态的相对种群将随着变构事件而变化。变构事件会破坏结构,能量应变会传播并改变种群。这可能导致靶结合位点的形状和性质发生变化。在这里,我们介绍了一个专注于信号转导中变构事件的动态构象集合的概述。我们提出,将平衡波动概念与基因组筛选相结合可能有助于药物发现。

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