生物
化学信息学
药物重新定位
兴奋剂
虚拟筛选
受体
药品
神经科学
药物发现
脚手架
计算生物学
医学
生物信息学
药理学
生物医学工程
遗传学
作者
Zhangcheng Chen,Jing Yu,Huan Wang,Peiyu Xu,Luyu Fan,F X Sun,Sijie Huang,Pei Zhang,He Huang,Shuo Gu,Bowen Zhang,Yue Zhou,Xiaobo Wan,Gang Pei,H. Eric Xu,Jianjun Cheng,Sheng Wang
出处
期刊:Cell
[Elsevier]
日期:2024-03-28
卷期号:187 (9): 2194-2208.e22
被引量:8
标识
DOI:10.1016/j.cell.2024.02.034
摘要
Summary
Effective treatments for complex central nervous system (CNS) disorders require drugs with polypharmacology and multifunctionality, yet designing such drugs remains a challenge. Here, we present a flexible scaffold-based cheminformatics approach (FSCA) for the rational design of polypharmacological drugs. FSCA involves fitting a flexible scaffold to different receptors using different binding poses, as exemplified by IHCH-7179, which adopted a "bending-down" binding pose at 5-HT2AR to act as an antagonist and a "stretching-up" binding pose at 5-HT1AR to function as an agonist. IHCH-7179 demonstrated promising results in alleviating cognitive deficits and psychoactive symptoms in mice by blocking 5-HT2AR for psychoactive symptoms and activating 5-HT1AR to alleviate cognitive deficits. By analyzing aminergic receptor structures, we identified two featured motifs, the "agonist filter" and "conformation shaper," which determine ligand binding pose and predict activity at aminergic receptors. With these motifs, FSCA can be applied to the design of polypharmacological ligands at other receptors.
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