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阐明肽识别模块(SH3 和 PDZ 结构域)的结合偏好。

Elucidation of the binding preferences of peptide recognition modules: SH3 and PDZ domains.

机构信息

Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada ON M5S 3E1.

出版信息

FEBS Lett. 2012 Aug 14;586(17):2631-7. doi: 10.1016/j.febslet.2012.05.043. Epub 2012 Jun 9.

Abstract

Peptide-binding domains play a critical role in regulation of cellular processes by mediating protein interactions involved in signalling. In recent years, the development of large-scale technologies has enabled exhaustive studies on the peptide recognition preferences for a number of peptide-binding domain families. These efforts have provided significant insights into the binding specificities of these modular domains. Many research groups have taken advantage of this unprecedented volume of specificity data and have developed a variety of new algorithms for the prediction of binding specificities of peptide-binding domains and for the prediction of their natural binding targets. This knowledge has also been applied to the design of synthetic peptide-binding domains in order to rewire protein-protein interaction networks. Here, we describe how these experimental technologies have impacted on our understanding of peptide-binding domain specificities and on the elucidation of their natural ligands. We discuss SH3 and PDZ domains as well characterized examples, and we explore the feasibility of expanding high-throughput experiments to other peptide-binding domains.

摘要

肽结合结构域在通过介导参与信号转导的蛋白质相互作用来调节细胞过程中起着关键作用。近年来,大规模技术的发展使得对许多肽结合结构域家族的肽识别偏好进行详尽研究成为可能。这些努力为这些模块结构域的结合特异性提供了重要的见解。许多研究小组利用这一前所未有的特异性数据量,并开发了各种新的算法来预测肽结合结构域的结合特异性及其天然结合靶标。这些知识也已应用于合成肽结合结构域的设计,以重新构建蛋白质-蛋白质相互作用网络。在这里,我们描述了这些实验技术如何影响我们对肽结合结构域特异性的理解以及阐明其天然配体。我们以 SH3 和 PDZ 结构域为例进行了讨论,探讨了将高通量实验扩展到其他肽结合结构域的可行性。

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