{"title":"基于对接的虚拟筛选发现天然化合物作为SARS-CoV-2的主要蛋白酶抑制剂","authors":"Hui Yu, Zhanli Wang, Jing Wang, Yu Jiang, Yingnan Wu, Yuheng Ma","doi":"10.2174/1570180820666230502152058","DOIUrl":null,"url":null,"abstract":"\n\nThe novel coronavirus disease (COVID-19) is a viral disease caused by severe\nacute respiratory syndrome coronavirus 2 (SAR-CoV-2). The development of antiviral drugs has enhaced\ntreatment of COVID-19. SARS-CoV-2 main protease (Mpro) is a key enzyme responsible for viral replication\nand transcription. This study aimed to identify new natural structures for the design of SARS-CoV-2\nMpro inhibitors.\n\n\n\nIn this present work, The CDOCKER protocol and scoring functions were validated. The validated\ndocking-based virtual screening approach was then employed to search the in-house database of\nnatural compounds for potential lead compounds as SARS-CoV-2 Mpro inhibitors. The top 3 compounds\nwere further biologically evaluated in vitro.\n\n\n\nDocking studies of the known ligand GC-376 led to results consistent with cocrystallized\ndata (PDB ID: 7D1M). Additionally, the effectiveness of docking scoring functions was validated\nby using the training set consisting of 15 active compounds and 15 inactive compounds. Then, the\nin-house database of natural compounds (overall 34,439 natural compounds) was subjected to dockingbased\nvirtual screening resulting in the identification of the top 100 compounds having relatively better\ndocking scores. Among them, the highest ranking 3 compounds (W-1, W-2, and W-3) were biologically\nevaluated in vitro for their inhibitory activity against SARS-CoV-2 Mpro, and compound W-1 was identified\nas the most potent SARS-CoV-2 Mpro inhibitor with an IC50 value of 63 ± 3 μM. Interestingly, it appeared\nthat the in vitro activities of compounds W-1, W-2, and W-3 were in agreement with their molecular\nmodeling data.\n\n\n\nOur results provided a useful reference for the discovery of novel natural SARS-CoV-2 Mpro\ninhibitors by virtual screening.\n","PeriodicalId":18063,"journal":{"name":"Letters in Drug Design & Discovery","volume":"61 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discovery of Natural Compounds As SARS-CoV-2’s Main Protease Inhibitors\\nby Docking-based Virtual Screening\",\"authors\":\"Hui Yu, Zhanli Wang, Jing Wang, Yu Jiang, Yingnan Wu, Yuheng Ma\",\"doi\":\"10.2174/1570180820666230502152058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nThe novel coronavirus disease (COVID-19) is a viral disease caused by severe\\nacute respiratory syndrome coronavirus 2 (SAR-CoV-2). The development of antiviral drugs has enhaced\\ntreatment of COVID-19. SARS-CoV-2 main protease (Mpro) is a key enzyme responsible for viral replication\\nand transcription. This study aimed to identify new natural structures for the design of SARS-CoV-2\\nMpro inhibitors.\\n\\n\\n\\nIn this present work, The CDOCKER protocol and scoring functions were validated. The validated\\ndocking-based virtual screening approach was then employed to search the in-house database of\\nnatural compounds for potential lead compounds as SARS-CoV-2 Mpro inhibitors. The top 3 compounds\\nwere further biologically evaluated in vitro.\\n\\n\\n\\nDocking studies of the known ligand GC-376 led to results consistent with cocrystallized\\ndata (PDB ID: 7D1M). Additionally, the effectiveness of docking scoring functions was validated\\nby using the training set consisting of 15 active compounds and 15 inactive compounds. Then, the\\nin-house database of natural compounds (overall 34,439 natural compounds) was subjected to dockingbased\\nvirtual screening resulting in the identification of the top 100 compounds having relatively better\\ndocking scores. Among them, the highest ranking 3 compounds (W-1, W-2, and W-3) were biologically\\nevaluated in vitro for their inhibitory activity against SARS-CoV-2 Mpro, and compound W-1 was identified\\nas the most potent SARS-CoV-2 Mpro inhibitor with an IC50 value of 63 ± 3 μM. Interestingly, it appeared\\nthat the in vitro activities of compounds W-1, W-2, and W-3 were in agreement with their molecular\\nmodeling data.\\n\\n\\n\\nOur results provided a useful reference for the discovery of novel natural SARS-CoV-2 Mpro\\ninhibitors by virtual screening.\\n\",\"PeriodicalId\":18063,\"journal\":{\"name\":\"Letters in Drug Design & Discovery\",\"volume\":\"61 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Letters in Drug Design & Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1570180820666230502152058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Letters in Drug Design & Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1570180820666230502152058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discovery of Natural Compounds As SARS-CoV-2’s Main Protease Inhibitors
by Docking-based Virtual Screening
The novel coronavirus disease (COVID-19) is a viral disease caused by severe
acute respiratory syndrome coronavirus 2 (SAR-CoV-2). The development of antiviral drugs has enhaced
treatment of COVID-19. SARS-CoV-2 main protease (Mpro) is a key enzyme responsible for viral replication
and transcription. This study aimed to identify new natural structures for the design of SARS-CoV-2
Mpro inhibitors.
In this present work, The CDOCKER protocol and scoring functions were validated. The validated
docking-based virtual screening approach was then employed to search the in-house database of
natural compounds for potential lead compounds as SARS-CoV-2 Mpro inhibitors. The top 3 compounds
were further biologically evaluated in vitro.
Docking studies of the known ligand GC-376 led to results consistent with cocrystallized
data (PDB ID: 7D1M). Additionally, the effectiveness of docking scoring functions was validated
by using the training set consisting of 15 active compounds and 15 inactive compounds. Then, the
in-house database of natural compounds (overall 34,439 natural compounds) was subjected to dockingbased
virtual screening resulting in the identification of the top 100 compounds having relatively better
docking scores. Among them, the highest ranking 3 compounds (W-1, W-2, and W-3) were biologically
evaluated in vitro for their inhibitory activity against SARS-CoV-2 Mpro, and compound W-1 was identified
as the most potent SARS-CoV-2 Mpro inhibitor with an IC50 value of 63 ± 3 μM. Interestingly, it appeared
that the in vitro activities of compounds W-1, W-2, and W-3 were in agreement with their molecular
modeling data.
Our results provided a useful reference for the discovery of novel natural SARS-CoV-2 Mpro
inhibitors by virtual screening.