Potential anti-COVID-19 activity of Egyptian propolis using computational modeling
Aim: To investigate the prospective anti COVID-19 activity of Egyptian propolis. Material & methods: Propolis samples were collected from different Egyptian geographical areas and characterized using standardized methods, scanning electron microscope and gas chromatography/mass spectrometry along with computational modeling to predict the anti-COVID-19 activity. Results & conclusion: Gas chromatography/mass spectrometry analysis of Menoufia propolis proved the presence of Octatriacontyl pentafluoropropionate (4.2%). Docking analyses declared that Octatriacontyl pentafluoropropionate is well oriented inside the enzyme pockets, in addition to excellent binding manner with the active site of the target macromolecules (RNA-dependent RNA polymerase, Spike protein S1 and main protease) in relation to some broad-spectrum antiviral agents. Menoufia propolis could be a promising candidate in the combat against the pandemic COVID-19.
Faculty of Applied Health Sciences Technology
Life Sciences, General Immunology and Microbiology
Indexed in Scopus
Indexed in Web Of Science
anti-COVID-19, computational modeling, lopinavir, propolis, remdesivir, umifenovir
H Elwakil, Bassma; Shaaban, Marwa M.; Bekhit, Adnan A.; El-Naggar, Moustafa Y.; and Olama, Zakia A., "Potential anti-COVID-19 activity of Egyptian propolis using computational modeling" (2021). Faculty of Applied Health Sciences Technology. 47.