黄芩素
蛋白酶
虚拟筛选
化学
体外
酶
蛋白酶抑制剂(药理学)
药物发现
体内
病毒学
药理学
生物化学
生物
病毒
病毒载量
遗传学
抗逆转录病毒疗法
作者
Kowit Hengphasatporn,Patcharin Wilasluck,Peerapon Deetanya,Kittikhun Wangkanont,Warinthorn Chavasiri,Peerapat Visitchanakun,Asada Leelahavanichkul,Wattamon Paunrat,Siwaporn Boonyasuppayakorn,Thanyada Rungrotmongkol,Supot Hannongbua,Yasuteru Shigeta
标识
DOI:10.1021/acs.jcim.1c01304
摘要
The coronavirus disease pandemic is a constant reminder that global citizens are in imminent danger of exposure to emerging infectious diseases. Therefore, developing a technique for inhibitor discovery is essential for effective drug design. Herein, we proposed fragment molecular orbital (FMO)-based virtual screening to predict the molecular binding energy of potential severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease inhibitors. The integration of quantum mechanical approaches and trajectory analysis from a microsecond molecular dynamics simulation was used to identify potential inhibitors. We identified brominated baicalein as a potent inhibitor of the SARS-CoV-2 main protease and confirmed its inhibitory activity in an in vitro assay. Brominated baicalein did not demonstrate significant toxicity in either in vitro or in vivo studies. The pair interaction energy from FMO-RIMP2/PCM and inhibitory constants based on the protease enzyme assay suggested that the brominated baicalein could be further developed into novel SARS-CoV-2 protease inhibitors.
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