Elucidating the druggable interface of protein-protein interactions using fragment docking and coevolutionary analysis

被引:70
作者
Bai, Fang [1 ]
Morcos, Faruck [2 ,3 ,4 ]
Cheng, Ryan R. [1 ]
Jiang, Hualiang [5 ]
Onuchic, Jose N. [1 ,6 ,7 ,8 ]
机构
[1] Rice Univ, Ctr Theoret Biol Phys, Houston, TX 77005 USA
[2] Univ Texas Dallas, Dept Biol Sci, Dallas, TX 75080 USA
[3] Univ Texas Dallas, Dept Bioengn, Dallas, TX 75080 USA
[4] Univ Texas Dallas, Ctr Syst Biol, Dallas, TX 75080 USA
[5] Chinese Acad Sci, Shanghai Inst Mat Med, Drug Discovery & Design Ctr, State Key Lab Drug Res, Shanghai 201203, Peoples R China
[6] Rice Univ, Dept Phys & Astron, Houston, TX 77005 USA
[7] Rice Univ, Dept Chem, Houston, TX 77005 USA
[8] Rice Univ, Dept Biosci, Houston, TX 77005 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
protein-protein interface; druggable surface; hot spots; direct coupling analysis; drug design; WEB SERVER; COMPUTATIONAL PREDICTION; DRUG DISCOVERY; HIV-1; PROTEASE; BINDING-SITES; HOT-SPOTS; CDK1; INHIBITION; CONSERVATION; DIMERIZATION;
D O I
10.1073/pnas.1615932113
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Protein-protein interactions play a central role in cellular function. Improving the understanding of complex formation has many practical applications, including the rational design of new therapeutic agents and the mechanisms governing signal transduction networks. The generally large, flat, and relatively featureless binding sites of protein complexes pose many challenges for drug design. Fragment docking and direct coupling analysis are used in an integrated computationalmethod to estimate druggable protein-protein interfaces. (i) This method explores the binding of fragment-sized molecular probes on the protein surface using a molecular dockingbased screen. (ii) The energetically favorable binding sites of the probes, called hot spots, are spatially clustered to map out candidate binding sites on the protein surface. (iii) A coevolution-based interface interaction score is used to discriminate between different candidate binding sites, yielding potential interfacial targets for therapeutic drug design. This approach is validated for important, well-studied disease-related proteins with known pharmaceutical targets, and also identifies targets that have yet to be studied. Moreover, therapeutic agents are proposed by chemically connecting the fragments that are strongly bound to the hot spots.
引用
收藏
页码:E8051 / E8058
页数:8
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