In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19
Seshu Vardhan, Suban K Sahoo

TL;DR
This study used computational methods to identify phytochemicals from limonoids and triterpenoids as potential inhibitors of SARS-CoV-2 proteins, suggesting candidates for drug development and traditional medicine use.
Contribution
It is the first comprehensive in silico screening of limonoids and triterpenoids against multiple SARS-CoV-2 targets for potential COVID-19 therapeutics.
Findings
Identified phytochemicals effective against SARS-CoV-2 proteins
Demonstrated binding interactions at active sites of target proteins
Suggested medicinal plants for traditional therapeutic approaches
Abstract
Virtual screening of phytochemicals was performed through molecular docking, simulation, in silico ADMET and drug-likeness prediction to identify the potential hits that can inhibit the effects of SARS-CoV-2. Considering the published literature on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five therapeutic protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro (papain-like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase) and ACE2 (angiotensin-converting enzyme 2). The in silico computational results revealed that the phytochemicals such as glycyrrhizic acid, limonin, 7-deacetyl-7-benzoylgedunin, maslinic acid, corosolic acid, obacunone and ursolic acid were found to be effective against the target proteins of…
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