药效团
化学
虚拟筛选
LRRK2
对接(动物)
激酶
计算生物学
药物发现
结构-活动关系
体外
药理学
生物化学
突变
基因
医学
生物
护理部
作者
Xiaoqing Gong,Shuli Li,Junli Huang,Shuoyan Tan,Qianqian Zhang,Yanan Tian,Qin Li,Lingling Wang,Henry H.Y. Tong,Xiaojun Yao,Chunxia Chen,Simon Ming‐Yuen Lee,Huanxiang Liu
标识
DOI:10.1016/j.ejmech.2024.116812
摘要
Leucine-rich repeat kinase 2 (LRRK2) has been reported to be associated with familial and idiopathic Parkinson's disease (PD) risk and is a promising target for drug discovery against PD. To identify novel and effective LRRK2 inhibitors, an ensemble virtual screening strategy by combining fingerprint similarity, complex-based pharmacophore and structure-based molecular docking was proposed and applied. Using this strategy, we finally selected 25 compounds from ∼1.7 million compounds for in vitro and in vivo tests. Firstly, the kinase inhibitory activity tests of compounds based on ADP-Glo assay identified three most potent compounds LY2023-19, LY2023-24 and LY2023-25 with IC
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