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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/48351
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dc.contributor.authorRowaiye, A. B.-
dc.contributor.authorOnuh, O. A.-
dc.contributor.authorOladimeji-Salami, J. A.-
dc.contributor.authorDoofan Bur-
dc.contributor.authorMoses Njoku-
dc.date.accessioned2022-10-21T12:54:10Z-
dc.date.available2022-10-21T12:54:10Z-
dc.date.issued2022-
dc.identifier.citationIn silico identification of the potential natural inhibitors of SARS-CoV-2 Guanine-N7 methyltransferase / A.B. Rowaiye [et al.] // Научные результаты биомедицинских исследований. - 2022. - Т.8, №3.- С. 327-350. - Doi: 10.18413/2658-6533-2022-8-3-0-6. - Refer.: с. 345-350.ru
dc.identifier.urihttp://dspace.bsu.edu.ru/handle/123456789/48351-
dc.description.abstractThis study aims at computationally identifying the potential natural inhibitors of the SARS-CoV-2 Guanine-N7 methyltransferase binding at the active siteru
dc.language.isoenru
dc.subjectmedicineru
dc.subjectpharmacologyru
dc.subjectCOVID-19ru
dc.subjectSARS-CoV-2ru
dc.subjectguanine-n7 methyltransferaseru
dc.subjectinhibitionru
dc.subjectmolecular dockingru
dc.subjectmolecular dynamic simulationru
dc.titleIn silico identification of the potential natural inhibitors of SARS-CoV-2 Guanine-N7 methyltransferaseru
dc.typeArticleru
Appears in Collections:Т. 8, вып. 3

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