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通过自然和人工序列变异理解细胞信号转导中的分子机制。

Understanding molecular mechanisms in cell signaling through natural and artificial sequence variation.

机构信息

Department of Chemistry, Columbia University, New York, NY, USA.

Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.

出版信息

Nat Struct Mol Biol. 2019 Jan;26(1):25-34. doi: 10.1038/s41594-018-0175-9. Epub 2018 Dec 31.

Abstract

The functionally tolerated sequence space of proteins can now be explored in an unprecedented way, owing to the expansion of genomic databases and the development of high-throughput methods to interrogate protein function. For signaling proteins, several recent studies have shown how the analysis of sequence variation leverages the available protein-structure information to provide new insights into specificity and allosteric regulation. In this Review, we discuss recent work that illustrates how this emerging approach is providing a deeper understanding of signaling proteins.

摘要

由于基因组数据库的扩展和高通量方法的开发,现在可以以前所未有的方式探索蛋白质的功能耐受序列空间。对于信号蛋白,最近的几项研究表明,序列变异的分析如何利用现有的蛋白质结构信息,提供对特异性和变构调节的新见解。在这篇综述中,我们讨论了最近的工作,这些工作说明了这种新兴方法如何提供对信号蛋白的更深入理解。

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