配体效率
亲脂性
背景(考古学)
药品
药物发现
配体(生物化学)
计算生物学
化学
选择(遗传算法)
计算机科学
药理学
生化工程
组合化学
机器学习
立体化学
生物
生物化学
工程类
受体
古生物学
作者
Andrew L. Hopkins,György M. Keserü,Paul D. Leeson,David C. Rees,Charles H. Reynolds
摘要
Ligand efficiency metrics quantify the molecular properties required to gain binding affinity for a drug target. This article discusses the application of such metrics in the selection and optimization of fragments, hits and leads, highlighting how optimizing ligand efficiency metrics based on both molecular mass and lipophilicity, when set in the context of the specific target, has the potential to increase the quality of drug candidates. The judicious application of ligand or binding efficiency metrics, which quantify the molecular properties required to obtain binding affinity for a drug target, is gaining traction in the selection and optimization of fragments, hits and leads. Retrospective analysis of recently marketed oral drugs shows that they frequently have highly optimized ligand efficiency values for their targets. Optimizing ligand efficiency metrics based on both molecular mass and lipophilicity, when set in the context of the specific target, has the potential to ameliorate the inflation of these properties that has been observed in current medicinal chemistry practice, and to increase the quality of drug candidates.
科研通智能强力驱动
Strongly Powered by AbleSci AI