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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/48351
Title: In silico identification of the potential natural inhibitors of SARS-CoV-2 Guanine-N7 methyltransferase
Authors: Rowaiye, A. B.
Onuh, O. A.
Oladimeji-Salami, J. A.
Doofan Bur
Moses Njoku
Keywords: medicine
pharmacology
COVID-19
SARS-CoV-2
guanine-n7 methyltransferase
inhibition
molecular docking
molecular dynamic simulation
Issue Date: 2022
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.
Abstract: This study aims at computationally identifying the potential natural inhibitors of the SARS-CoV-2 Guanine-N7 methyltransferase binding at the active site
URI: http://dspace.bsu.edu.ru/handle/123456789/48351
Appears in Collections:Т. 8, вып. 3

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