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首页> 外文期刊>Proteins: Structure, Function, and Genetics >Bihelix: Towards de novo structure prediction of an ensemble of G-protein coupled receptor conformations
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Bihelix: Towards de novo structure prediction of an ensemble of G-protein coupled receptor conformations

机译:Bihelix:G蛋白偶联受体构象整体的从头结构预测

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摘要

G-Protein Coupled Receptors (GPCRs) play a critical role in cellular signal transduction pathways and are prominent therapeutic targets. Recently there has been major progress in obtaining experimental structures for a few GPCRs. Each GPCR, however, exhibits multiple conformations that play a role in their function and we have been developing methods aimed at predicting structures for all these conformations. Analysis of available structures shows that these conformations differ in relative helix tilts and rotations. The essential issue is, determining how to orient each of the seven helices about its axis since this determines how it interacts with the other six helices. Considering all possible helix rotations to ensure that no important packings are overlooked, and using rotation angle increments of 30° about the helical axis would still lead to 12 7 or 35 million possible conformations each with optimal residue positions. We show in this paper how to accomplish this. The fundamental idea is to optimize the interactions between each pair of contacting helices while ignoring the other 5 and then to estimate the energies of all 35 million combinations using these pair-wise interactions. This BiHelix approach dramatically reduces the effort to examine the complete set of conformations and correctly identifies the crystal packing for the experimental structures plus other near-native packings we believe may play an important role in activation. This approach also enables a detailed structural analysis of functionally distinct conformations using helix-helix interaction energy landscapes and should be useful for other helical transmembrane proteins as well.
机译:G蛋白偶联受体(GPCR)在细胞信号转导途径中起关键作用,并且是重要的治疗靶标。最近,在获得一些GPCR的实验结构方面取得了重大进展。但是,每个GPCR均显示多种构象,这些构象在其功能中发挥作用,我们一直在开发旨在预测所有这些构象的结构的方法。对可用结构的分析表明,这些构象在相对螺旋倾斜和旋转方面有所不同。至关重要的问题是,确定如何将七个螺旋中的每个螺旋围绕其轴定向,因为这确定了它如何与其他六个螺旋交互。考虑所有可能的螺旋旋转以确保不会忽略重要的填料,并且使用围绕螺旋轴的30°旋转角增量仍将导致12 7或3500万种可能的构型,每种构型均具有最佳残基位置。我们在本文中展示了如何实现这一目标。基本思想是优化每对接触螺旋之间的相互作用,而忽略其他5个,然后使用这些成对相互作用估算所有3500万组合的能量。这种BiHelix方法极大地减少了检查完整构象的工作量,并正确地确定了实验结构的晶体堆积以及我们认为可能在激活中起重要作用的其他近天然堆积。这种方法还可以使用螺旋-螺旋相互作用能图对功能不同的构象进行详细的结构分析,并且对于其他螺旋跨膜蛋白也应有用。

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