Identification of potential COVID-19 main protease inhibitors using structure-based pharmacophore approach, molecular docking and repurposing studies

被引:24
作者
Daoud, Safa [1 ]
Alabed, Shada J. [2 ]
Dahabiyeh, Lina A. [2 ]
机构
[1] Appl Sci Private Univ, Fac Pharm, Dept Pharmaceut Chem & Pharmacognosy, Amman, Jordan
[2] Univ Jordan, Sch Pharm, Dept Pharmaceut Sci, Amman, Jordan
关键词
COVID-19; main protease; pharmacophore; structure-based modeling; docking study; remdesivir; repurposing; LIGAND INTERACTIONS; SCORING FUNCTION;
D O I
10.2478/acph-2021-0016
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The current outbreak of novel coronavirus (COVID-19) infections urges the need to identify potential therapeutic agents. Therefore, the repurposing of FDA-approved drugs against today's diseases involves the use of de-risked compounds with potentially lower costs and shorter development timelines. In this study, the recently resolved X-ray crystallographic structure of COVID-19 main protease (Mpro) was used to generate a pharmacophore model and to conduct a docking study to capture antiviral drugs as new promising COVID-19 main protease inhibitors. The developed pharmacophore successfully captured five FDA-approved antiviral drugs (lopinavir, remdesivir, ritonavir, saquinavir and raltegravir). The five drugs were successfully docked into the binding site of COVID-19 Mpro and showed several specific binding interactions that were comparable to those tying the co-crystallized inhibitor X77 inside the binding site of COVID-19 Mpro. Three of the captured drugs namely, remdesivir, lopinavir and ritonavir, were reported to have promising results in COVID-19 treatment and therefore increases the confidence in our results. Our findings suggest an additional possible mechanism of action for remdesivir as an antiviral drug inhibiting COVID-19 Mpro. Additionally, a combination of structure-based pharmacophore modeling with a docking study is expected to facilitate the discovery of novel COVID-19 Mpro inhibitors.
引用
收藏
页码:163 / 174
页数:12
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