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合作溶剂暴露变化揭示隐匿口袋、开关和变构偶联。

Cooperative Changes in Solvent Exposure Identify Cryptic Pockets, Switches, and Allosteric Coupling.

机构信息

Department of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri.

Department of Chemistry, Williams College, Williamstown, Massachusetts.

出版信息

Biophys J. 2019 Mar 5;116(5):818-830. doi: 10.1016/j.bpj.2018.11.3144. Epub 2019 Jan 25.

Abstract

Proteins are dynamic molecules that undergo conformational changes to a broad spectrum of different excited states. Unfortunately, the small populations of these states make it difficult to determine their structures or functional implications. Computer simulations are an increasingly powerful means to identify and characterize functionally relevant excited states. However, this advance has uncovered a further challenge: it can be extremely difficult to identify the most salient features of large simulation data sets. We reasoned that many functionally relevant conformational changes are likely to involve large, cooperative changes to the surfaces that are available to interact with potential binding partners. To examine this hypothesis, we introduce a method that returns a prioritized list of potentially functional conformational changes by segmenting protein structures into clusters of residues that undergo cooperative changes in their solvent exposure, along with the hierarchy of interactions between these groups. We term these groups exposons to distinguish them from other types of clusters that arise in this analysis and others. We demonstrate, using three different model systems, that this method identifies experimentally validated and functionally relevant conformational changes, including conformational switches, allosteric coupling, and cryptic pockets. Our results suggest that key functional sites are hubs in the network of exposons. As a further test of the predictive power of this approach, we apply it to discover cryptic allosteric sites in two different β-lactamase enzymes that are widespread sources of antibiotic resistance. Experimental tests confirm our predictions for both systems. Importantly, we provide the first evidence, to our knowledge, for a cryptic allosteric site in CTX-M-9 β-lactamase. Experimentally testing this prediction did not require any mutations and revealed that this site exerts the most potent allosteric control over activity of any pockets found in β-lactamases to date. Discovery of a similar pocket that was previously overlooked in the well-studied TEM-1 β-lactamase demonstrates the utility of exposons.

摘要

蛋白质是动态分子,它们会发生构象变化,进入广泛的不同激发态。不幸的是,这些状态的小群体使得确定它们的结构或功能意义变得困难。计算机模拟是识别和描述功能相关激发态的一种越来越强大的手段。然而,这一进展揭示了另一个挑战:识别大型模拟数据集的最显著特征非常困难。我们推断,许多功能相关的构象变化可能涉及到表面的大的、协同的变化,这些表面可以与潜在的结合伙伴相互作用。为了检验这一假设,我们引入了一种方法,通过将蛋白质结构分割成经历溶剂暴露协同变化的残基簇,并对这些簇之间的相互作用层次结构进行分割,来返回潜在功能构象变化的优先级列表。我们将这些簇称为暴露子,以将它们与在这种分析和其他分析中出现的其他类型的簇区分开来。我们用三个不同的模型系统证明,这种方法可以识别实验验证和功能相关的构象变化,包括构象开关、别构偶联和隐匿口袋。我们的结果表明,关键功能位点是暴露子网络中的枢纽。作为对这种方法预测能力的进一步测试,我们将其应用于发现两种不同β-内酰胺酶中隐藏的别构位点,这些酶是抗生素耐药性的广泛来源。实验测试证实了我们对这两个系统的预测。重要的是,我们提供了第一个证据,据我们所知,CTX-M-9 β-内酰胺酶中存在一个隐匿的别构位点。对这一预测的实验测试不需要任何突变,并表明该位点对迄今为止在β-内酰胺酶中发现的任何口袋的活性具有最强的别构控制作用。在研究充分的 TEM-1 β-内酰胺酶中发现了一个以前被忽视的类似口袋,证明了暴露子的实用性。

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