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蛋白质-蛋白质相互作用抑制剂的计算识别

Computational identification of inhibitors of protein-protein interactions.

作者信息

Zhong Shijun, Macias Alba T, MacKerell Alexander D

机构信息

Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, 20 Penn Street, Baltimore, MD 21201, USA.

出版信息

Curr Top Med Chem. 2007;7(1):63-82. doi: 10.2174/156802607779318334.

Abstract

The ability to control protein-protein interactions (PPIs) for therapeutic purposes is attractive since many processes in cells involve such interactions. Recent successes in the discovery of small molecules that target protein-protein interactions for drug development have shown that targeting these interactions is indeed feasible. In the present review the use of computer-aided drug design (CADD) via database screening or docking algorithms for identifying inhibitors of protein-protein interactions is introduced. The principles of database screening and a practical protocol for targeting PPIs are described. The recent applications of these approaches to different systems involving protein-protein interactions, including BCL-2, S100B, ERK and p56lck, are presented and provide valuable examples of inhibitor discovery and design.

摘要

出于治疗目的控制蛋白质-蛋白质相互作用(PPI)的能力很有吸引力,因为细胞中的许多过程都涉及此类相互作用。最近在发现用于药物开发的靶向蛋白质-蛋白质相互作用的小分子方面取得的成功表明,靶向这些相互作用确实是可行的。在本综述中,介绍了通过数据库筛选或对接算法使用计算机辅助药物设计(CADD)来识别蛋白质-蛋白质相互作用抑制剂的方法。描述了数据库筛选的原理以及靶向PPI的实用方案。还介绍了这些方法最近在涉及蛋白质-蛋白质相互作用的不同系统中的应用,包括BCL-2、S100B、ERK和p56lck,并提供了抑制剂发现和设计的宝贵示例。

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