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蛋白质-蛋白质相互作用的预测与重新设计。

Prediction and redesign of protein-protein interactions.

作者信息

Lua Rhonald C, Marciano David C, Katsonis Panagiotis, Adikesavan Anbu K, Wilkins Angela D, Lichtarge Olivier

机构信息

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, TX 77030, USA.

出版信息

Prog Biophys Mol Biol. 2014 Nov-Dec;116(2-3):194-202. doi: 10.1016/j.pbiomolbio.2014.05.004. Epub 2014 May 27.

Abstract

Understanding the molecular basis of protein function remains a central goal of biology, with the hope to elucidate the role of human genes in health and in disease, and to rationally design therapies through targeted molecular perturbations. We review here some of the computational techniques and resources available for characterizing a critical aspect of protein function - those mediated by protein-protein interactions (PPI). We describe several applications and recent successes of the Evolutionary Trace (ET) in identifying molecular events and shapes that underlie protein function and specificity in both eukaryotes and prokaryotes. ET is a part of analytical approaches based on the successes and failures of evolution that enable the rational control of PPI.

摘要

理解蛋白质功能的分子基础仍然是生物学的核心目标,希望阐明人类基因在健康和疾病中的作用,并通过有针对性的分子扰动合理设计治疗方法。我们在此回顾一些可用于表征蛋白质功能关键方面的计算技术和资源——那些由蛋白质-蛋白质相互作用(PPI)介导的方面。我们描述了进化踪迹(ET)在识别真核生物和原核生物中蛋白质功能和特异性基础的分子事件及形态方面的几种应用和近期成果。ET是基于进化的成败而形成的分析方法的一部分,这些方法能够对PPI进行合理控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b2/4246023/0360b3ce8b3a/nihms-614835-f0001.jpg

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