DC Field | Value | Language |
dc.contributor.author | Rowaiye, A. B. | - |
dc.contributor.author | Onuh, O. A. | - |
dc.contributor.author | Oladimeji-Salami, J. A. | - |
dc.contributor.author | Doofan Bur | - |
dc.contributor.author | Moses Njoku | - |
dc.date.accessioned | 2022-10-21T12:54:10Z | - |
dc.date.available | 2022-10-21T12:54:10Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | In 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.uri | http://dspace.bsu.edu.ru/handle/123456789/48351 | - |
dc.description.abstract | This study aims at computationally identifying the potential natural inhibitors of the SARS-CoV-2 Guanine-N7 methyltransferase binding at the active site | ru |
dc.language.iso | en | ru |
dc.subject | medicine | ru |
dc.subject | pharmacology | ru |
dc.subject | COVID-19 | ru |
dc.subject | SARS-CoV-2 | ru |
dc.subject | guanine-n7 methyltransferase | ru |
dc.subject | inhibition | ru |
dc.subject | molecular docking | ru |
dc.subject | molecular dynamic simulation | ru |
dc.title | In silico identification of the potential natural inhibitors of SARS-CoV-2 Guanine-N7 methyltransferase | ru |
dc.type | Article | ru |
Appears in Collections: | Т. 8, вып. 3
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