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通过一种新型的从头蛋白质设计框架揭示的影响G蛋白偶联受体寡聚化界面的突变。

Mutations affecting the oligomerization interface of G-protein-coupled receptors revealed by a novel de novo protein design framework.

作者信息

Taylor Martin S, Fung Ho K, Rajgaria Rohit, Filizola Marta, Weinstein Harel, Floudas Christodoulos A

机构信息

Department of Chemical Engineering, Princeton University, Princeton, New Jersey 08544, USA.

出版信息

Biophys J. 2008 Apr 1;94(7):2470-81. doi: 10.1529/biophysj.107.117622. Epub 2008 Jan 4.

Abstract

Specific functional and pharmacological properties have recently been ascribed to G-protein-coupled receptor (GPCR) dimers/oligomers. Because the association of two identical or two distinct GPCR monomers seems to be required to elicit receptor function, it is necessary to understand the exact nature of this interaction. We present here a novel method for de novo protein design and its application to the prediction of mutations that can stabilize or destabilize a GPCR dimer while maintaining the monomer's native fold. To test the efficacy of this new method, the dimer of the single-spanned transmembrane domain of glycophorin A was used as a model system. Experimental data from mutagenesis of the helix-helix interface are compared with computational predictions at that interface, and the model's results are found to be consistent with the experimental findings. A flexible template was developed for the rhodopsin homodimer at atomic resolution and used to predict sets of three and five mutations. The results are found to be consistent across eight case studies, with favored mutations at each position. Mutation sets predicted to be the most disruptive at the dimerization interface are found to be less specific to the flexible template than sets predicted to be less disruptive.

摘要

近来,特定的功能和药理学特性被归因于G蛋白偶联受体(GPCR)二聚体/寡聚体。由于似乎需要两个相同或两个不同的GPCR单体缔合才能引发受体功能,因此有必要了解这种相互作用的确切性质。我们在此介绍一种用于从头蛋白质设计的新方法及其在预测可稳定或破坏GPCR二聚体同时保持单体天然折叠的突变中的应用。为了测试这种新方法的有效性,将血型糖蛋白A的单跨膜结构域二聚体用作模型系统。将来自螺旋-螺旋界面诱变的实验数据与该界面处的计算预测进行比较,发现该模型的结果与实验结果一致。以原子分辨率为视紫红质同型二聚体开发了一个灵活的模板,并用于预测三个和五个突变的组合。在八个案例研究中发现结果是一致的,每个位置都有有利的突变。发现在二聚化界面处预测最具破坏性的突变组合比预测破坏性较小的组合对灵活模板的特异性更低。

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