药效团
数量结构-活动关系
化学
虚拟筛选
2019年冠状病毒病(COVID-19)
计算生物学
组合化学
立体化学
生物
医学
病理
传染病(医学专业)
疾病
作者
Mohammad A. Khanfar,Nada Salaas,Reem Abumostafa
标识
DOI:10.1002/minf.202200198
摘要
Abstract The main protease (M pro ) is an essential enzyme for the life cycle of SARS‐CoV‐2 and a validated target for treatment of COVID‐19 infection. Structure‐based pharmacophore modeling combined with QSAR calculations were employed to identify new chemical scaffolds of M pro inhibitors from natural products repository. Hundreds of pharmacophore models were manually built from their corresponding X‐ray crystallographic structures. A pharmacophore model that was validated by receiver operating characteristic (ROC) curve analysis and selected using the statistically optimum QSAR equation was implemented as a 3D‐search tool to mine AnalytiCon Discovery database of natural products. Captured hits that showed the highest predicted inhibitory activities were bioassayed. Three active M pro inhibitors (pseurotin A, lactupicrin, and alpinetin) were successfully identified with IC 50 values in low micromolar range.
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