Alloscore: a method for predicting allosteric ligand-protein interactions

被引:23
作者
Li, Shuai [1 ]
Shen, Qiancheng [1 ]
Su, Minyi [2 ]
Liu, Xinyi [1 ]
Lu, Shaoyong [1 ]
Chen, Zhongjie [1 ]
Wang, Renxiao [2 ]
Zhang, Jian [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Med, Dept Pathophysiol, Shanghai 200025, Peoples R China
[2] Chinese Acad Sci, Shanghai Inst Organ Chem, 345 Lingling Lu, Shanghai 200032, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1093/bioinformatics/btw036
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Allosteric ligands have increasingly gained attention as potential therapeutic agents due to their higher target selectivity and lower toxicity compared with classic orthosteric ligands. Despite the great interest in the development of allosteric drugs as a new tactic in drug discovery, the understanding of the ligand-protein interactions underlying allosteric binding represents a key challenge. Herein, we introduce Alloscore, a web server that predicts the binding affinities of allosteric ligand-protein interactions. This method exhibits prominent performance in describing allosteric binding and could be useful in allosteric virtual screening and the structural optimization of allosteric agonists/antagonists.
引用
收藏
页码:1574 / 1576
页数:3
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