Evolution: a guide to perturb protein function and networks

被引：22

作者：

Lichtarge, Olivier ^{[1
]}

Wilkins, Angela ^{[1
]}

机构：

[1] Baylor Coll Med, Dept Mol & Human Genet, Houston, TX 77030 USA

来源：

CURRENT OPINION IN STRUCTURAL BIOLOGY | 2010年 / 20卷 / 03期

基金：

美国国家科学基金会;

关键词：

ENZYME FUNCTION; BINDING-SITES; COMPUTATIONAL REDESIGN; FUNCTION PREDICTION; TRACE; IDENTIFICATION; SPECIFICITY; DESIGN; RECEPTOR; RESIDUES;

D O I：

10.1016/j.sbi.2010.04.002

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Protein interactions give rise to networks that control cell fate in health and disease; selective means to probe these interactions are therefore of wide interest. We discuss here Evolutionary Tracing (ET), a comparative method to identify protein functional sites and to guide experiments that selectively block, recode, or mimic their amino acid determinants. These studies suggest, in principle, a scalable approach to perturb individual links in protein networks.

引用

页码：351 / 359

页数：9

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