Computational identification of inhibitors of protein-protein interactions

被引:53
|
作者
Zhong, Shijun [1 ]
Macias, Alba T. [1 ]
MacKerell, Alexander D., Jr. [1 ]
机构
[1] Univ Maryland, Sch Pharm, Dept Pharmaceut Sci, Baltimore, MD 21201 USA
关键词
protein-protein inhibition; virtual database screening; docking; inhibitor identification; computer-aided drug design; BCL-2; S100B; ERK; p56lck;
D O I
10.2174/156802607779318334
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
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 p561ck,are presented and provide valuable examples of inhibitor discovery and design.
引用
收藏
页码:63 / 82
页数:20
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