Natural flavonoid pectolinarin computationally targeted as a promising drug candidate against SARS-CoV-2

天然黄酮类化合物佩克托利那林经计算机靶向筛选,被认为是一种有前景的抗SARS-CoV-2病毒候选药物。

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Abstract

Coronavirus disease-2019 (COVID-19) has become a global pandemic, necessitating the development of new medicines. In this investigation, we identified potential natural flavonoids and compared their inhibitory activity against spike glycoprotein, which is a target of SARS-CoV-2 and SARS-CoV. The target site for the interaction of new inhibitors for the treatment of SARS-CoV-2 has 82% sequence identity and the remaining 18% dissimilarities in RBD S1-subunit, S2-subunit, and 2.5% others. Molecular docking was employed to analyse the various binding processes used by each ligand in a library of 85 natural flavonoids that act as anti-viral medications and FDA authorised treatments for COVID-19. In the binding pocket of the target active site, remdesivir has less binding interaction than pectolinarin, according to the docking analysis. Pectolinarin is a natural flavonoid isolated from Cirsiumsetidensas that has anti-cancer, vasorelaxant, anti-inflammatory, hepatoprotective, anti-diabetic, anti-microbial, and anti-oxidant properties. The S-glycoprotein RBD region (330-583) is inhibited by kaempferol, rhoifolin, and herbacetin, but the S2 subunit (686-1270) is inhibited by pectolinarin, morin, and remdesivir. MD simulation analysis of S-glycoprotein of SARS-CoV-2 with pectolinarin complex at 100ns based on high dock-score. Finally, ADMET analysis was used to validate the proposed compounds with the highest binding energy.

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