  Objective: Total 186 biologically important phenylpropanoids and polyketides
compounds from different Indian medicinal plants and dietary sources were
screened to filter potential compounds that bind at the active site of the
therapeutic target proteins of SARS-CoV-2. Method: The molecular docking
studies were carried out by using the Autodock Vina. The in silico ADMET and
drug-likeness properties of the compounds were predicted from SwissADME server.
Result: The molecular docking study of the 186 compounds with the therapeutic
target proteins (Mpro, PLpro, RdRp, SGp and ACE2) of SARS-CoV-2 resulted 40
compounds that bind at the active site with dock score above -8.0 kcal/mol.
Conclusion: Based on the in silico ADMET study and drug-likeness prediction of
40 compounds, we proposed petunidin, baicalein, cyanidin,
7-hydroxy-3',4'-methylenedioxyflavan, quercetin and ellagic acid among the 186
biologically important phenylpropanoids and polyketides as potential lead
compounds, which can further be investigated pharmacologically and clinically
to formulate therapeutic approaches for the COVID-19.
