成纤维细胞生长因子受体
化学
药物发现
赫尔格
对接(动物)
虚拟筛选
药物开发
激酶
表皮生长因子受体抑制剂
计算生物学
药理学
受体
生物化学
药品
成纤维细胞生长因子
表皮生长因子受体
生物物理学
生物
护理部
钾通道
医学
作者
Yulan Wang,Yang Dai,Xiaowei Wu,Fei Li,Bo Liu,Chunpu Li,Qiufeng Liu,Yuanyang Zhou,Wang Bao,Mingrui Zhu,Rongrong Cui,Xiaoqin Tan,Zhaoping Xiong,Jia Liu,Minjia Tan,Yechun Xu,Meiyu Geng,Hualiang Jiang,Hong Liu,Jing Ai
标识
DOI:10.1021/acs.jmedchem.9b00510
摘要
Alterations of fibroblast growth factor receptors (FGFRs) play key roles in numerous cancer progression and development, which makes FGFRs attractive targets in the cancer therapy. In the present study, based on a newly devised FGFR target-specific scoring function, a novel FGFR inhibitor hit was identified through virtual screening. Hit-to-lead optimization was then performed by integrating molecular docking and site-of-metabolism predictions with an array of in vitro evaluations and X-ray cocrystal structure determination, leading to a covalent FGFR inhibitor 15, which showed a highly selective and potent FGFR inhibition profile. Pharmacokinetic assessment, protein kinase profiling, and hERG inhibition evaluation were also conducted, and they confirmed the value of 15 as a lead for further investigation. Overall, this study exemplifies the importance of the integrative use of computational methods and experimental techniques in drug discovery.
科研通智能强力驱动
Strongly Powered by AbleSci AI