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Local Network Patterns in Protein-Protein Interfaces

机译:在蛋白质 - 蛋白质接口本地网模式

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摘要

Protein-protein interfaces hold the key to understanding protein-protein interactions. In this paper we investigated local interaction network patterns beyond pair-wise contact sites by considering interfaces as contact networks among residues. A contact site was defined as any residue on the surface of one protein which was in contact with a residue on the surface of another protein. We labeled the sub-graphs of these contact networks by their amino acid types. The observed distributions of these labeled sub-graphs were compared with the corresponding background distributions and the results suggested that there were preferred chemical patterns of closely packed residues at the interface. These preferred patterns point to biological constraints on physical proximity between those residues on one protein which were involved in binding to residues which were close on the interacting partner. Interaction interfaces were far from random and contain information beyond pairs and triangles. To illustrate the possible application of the local network patterns observed, we introduced a signature method, called iScore, based on these local patterns to assess interface predictions. On our data sets iScore achieved 83.6% specificity with 82% sensitivity.
机译:蛋白质-蛋白质界面是理解蛋白质-蛋白质相互作用的关键。在本文中,我们通过将接口视为残基之间的接触网络,研究了成对接触点之外的局部相互作用网络模式。接触位点定义为一种蛋白质表面上的任何残基与另一蛋白质表面上的残基接触。我们通过它们的氨基酸类型标记了这些接触网络的子图。将这些标记的子图的观察到的分布与相应的背景分布进行了比较,结果表明在界面处存在紧密堆积的残基的优选化学模式。这些优选的模式指出了一种蛋白质上那些残基之间的物理接近性的生物学限制,这些残基与结合在相互作用伴侣上的残基结合。交互界面远不是随机的,而是包含了成对和三角形以外的信息。为了说明观察到的本地网络模式的可能应用,我们基于这些本地模式引入了一种称为iScore的签名方法来评估接口预测。在我们的数据集上,iScore达到83.6%的特异性,灵敏度为82%。

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