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In silico detection of inhibitor potential of Passiflora compounds against SARS-Cov-2(Covid-19) main protease by using molecular docking and dynamic analyses

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dc.creator Yalcinkaya, Seda
dc.creator Yalcin, Serap
dc.creator ERCAN, FAHRİYE
dc.date 2021-09-01T00:00:00Z
dc.date.accessioned 2021-12-03T11:32:31Z
dc.date.available 2021-12-03T11:32:31Z
dc.identifier 970ebef0-e824-4e9b-b347-eaa0e91d6496
dc.identifier 10.1016/j.molstruc.2021.130556
dc.identifier https://avesis.sdu.edu.tr/publication/details/970ebef0-e824-4e9b-b347-eaa0e91d6496/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/93463
dc.description SARS-Cov-2(Covid-19) is a new strain of coronavirus and was firstly emerged in December 2019 in Wuhan, China. Now, there is no known specific treatment of Covid-19 available. COVID-19 main protease is a potential drug target and is firstly crystallised by Liu et al (2020). In the study, we investigated the drug potential of molecules that the components of an important medicinal plant Passiflora by using molecular docking, molecular dynamic and drug possibility properties of these molecules. Docking performances were done by Autodock. Chloroquine, hydroxychloroquine were used as standarts for comparison of tested ligands. The molecular docking results showed that the Luteolin, Lucenin, Olealonic acid, Isoorientin, Isochaphoside, Saponarin, Schaftoside etc. ligands was bound with COVID-19 main protease above-8,0 kcal/mol binding energy. Besides, ADME, drug-likeness features of compounds of Passiflora were investigated using the rules of Lipinski, Veber, and Chose. According to the results obtained, it has been shown that compounds of Passiflora have the potential to be an effective drug in the COVID-19 pandemic. Further studies are needed to reveal the drug potential of these ligands. Our results will be a source for these studies.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title In silico detection of inhibitor potential of Passiflora compounds against SARS-Cov-2(Covid-19) main protease by using molecular docking and dynamic analyses
dc.type info:eu-repo/semantics/article


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