公共化学
虚拟筛选
对接(动物)
药物发现
病毒复制
计算生物学
李宾斯基五定律
化学
冠状病毒
蛋白质数据库
自动停靠
化学
病毒学
生物
2019年冠状病毒病(COVID-19)
病毒
生物化学
生物信息学
医学
护理部
疾病
病理
基因
传染病(医学专业)
作者
Hoang Linh Nguyen,Nguyen Quoc Thai,Mai Suan Li
标识
DOI:10.1080/07391102.2022.2114941
摘要
The COVID-19 pandemic, which has already claimed millions of lives, continues to pose a serious threat to human health, requiring the development of new effective drugs. Non-structural proteins of SARS-CoV-2 play an important role in viral replication and infection. Among them, NSP16 (non-structured protein 16) and its cofactor NSP10 (non-structured protein 10) perform C2'-O methylation at the 5' end of the viral RNA, which promotes efficient virus replication. Therefore, the NSP16-NSP10 complex becomes an attractive target for drug development. Using a multi-step virtual screening protocol which includes Lipinski's rule, docking, steered molecular dynamics and umbrella sampling, we searched for potential inhibitors from the PubChem and anti-HIV databases. It has been shown that CID 135566620 compound from PubChem is the best candidate with an inhibition constant in the sub-μM range. The Van der Waals interaction was found to be more important than the electrostatic interaction in the binding affinity of this compound to NSP16-NSP10. Further in vitro and in vivo studies are needed to test the activity of the identified compound against COVID-19.Communicated by Ramaswamy H. Sarma
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