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

机译:溶剂暴露的合作变化可识别隐窝开关和变构耦合

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摘要

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 -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 -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 -lactamases to date. Discovery of a similar pocket that was previously overlooked in the well-studied TEM-1 -lactamase demonstrates the utility of exposons.
机译:蛋白质是动态分子,会经历构象变化,从而变化为各种不同的激发态。不幸的是,这些州的人口很少,因此很难确定其结构或功能含义。计算机仿真是识别和表征功能相关的励磁状态的一种日益强大的手段。但是,这一进步揭示了进一步的挑战:要识别大型仿真数据集的最显着特征可能非常困难。我们认为,许多功能相关的构象变化可能涉及对表面的大的,协作的变化,这些变化可用于与潜在的结合伴侣相互作用。为了检验这一假设,我们引入了一种方法,该方法通过将蛋白质结构划分为在溶剂暴露中发生协同变化的残基簇以及这些组之间的相互作用层次,从而返回潜在功能构象变化的优先列表。我们将这些组指数称为术语,以使其与本分析和其他分析中出现的其他类型的聚类区分开。我们证明,使用三种不同的模型系统,该方法可以识别经过实验验证和功能相关的构象变化,包括构象转换,变构偶联和隐秘口袋。我们的结果表明,关键功能站点是信息披露网络中的枢纽。作为对该方法预测能力的进一步测试,我们将其用于发现两种不同的内酰胺酶中的隐构变构位点,后者是抗生素耐药性的广泛来源。实验测试证实了我们对两种系统的预测。重要的是,据我们所知,我们提供了有关CTX-M-9-内酰胺酶中隐性变构位点的第一个证据。通过实验测试该预测不需要任何突变,并且揭示了该位点对迄今为止在-内酰胺酶中发现的任何口袋的活性都发挥了最有效的变构控制作用。在经过充分研究的TEM-1-内酰胺酶中发现了一个以前被忽略的类似口袋,这证明了外显子的实用性。

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