可药性
计算生物学
配体(生物化学)
药物发现
小分子
结合位点
药品
化学
靶蛋白
表面蛋白
药物设计
生物
生物化学
药理学
受体
基因
病毒学
作者
Yaxia Yuan,Jianfeng Pei,Luhua Lai
标识
DOI:10.2174/1381612811319120019
摘要
Assessing whether a protein structure is a good target or not before actually doing structure-based drug design on it is an important step to speed up the ligand discovery process. This is known as the "druggability" or "ligandability" assessment problem that has attracted increasing interest in recent years. The assessment typically includes the detection of ligand-binding sites on the protein surface and the prediction of their abilities to bind drug-like small molecules. A brief summary of the established methods of binding sites detection and druggability(ligandability) prediction, as well as a detailed description of the CAVITY approach developed in the authors' group was given. CAVITY showed good performance on ligand-binding site detection, and was successfully used to predict both the ligandabilities and druggabilities of the detected binding sites.
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