Title

Potential anti-COVID-19 activity of Egyptian propolis using computational modeling

Document Type

Article

Abstract

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.

Publication Date

2-1-2021

Faculty

Faculty of Applied Health Sciences Technology

Subject Area

Life Sciences, General Immunology and Microbiology

Indexed in Scopus

yes

Indexed in Web Of Science

yes

DOI

https://doi.org/10.2217/fvl-2020-0329

Volume

16

Keywords

anti-COVID-19, computational modeling, lopinavir, propolis, remdesivir, umifenovir

ISSN

17460794

eISSN

17460808

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