In silicoidentification and validation of triarylchromones as potential inhibitor against main protease of severe acute respiratory syndrome coronavirus 2

Autor: Chandel, Vaishali, Tripathi, Garima, Nayar, Seema A., Rathi, Brijesh, Kumar, Abhijeet, Kumar, Dhruv
Zdroj: Journal of Biomolecular Structure and Dynamics; November 2022, Vol. 40 Issue: 19 p8850-8865, 16p
Abstrakt: AbstractThe ongoing pandemic due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused COVID-19 has emerged as a severe threat to the life of human kind. The identification and designing of appropriate and reliable drug molecule for the treatment of COVID-19 patients is the pressing need of the present time. Among different drug targets, the main protease of SARS-CoV-2 is being considered as most effective target. In addition to the drug repurposing, different compounds of natural as well as synthetic origins are being investigated for their efficacy against different drug targets of SARS-CoV-2 virus. In that context, the chromone based natural flavonols have also exhibited significant antiviral properties against different targets of SARS-CoV-2. The in silicostudies presented here discloses the efficacy of triarylchromones (TAC) as potential inhibitor against main protease of SARS-CoV-2. The molecular docking and ADMET study performed using 14 arylchromones which could easily be accessed through simple synthetic protocols, revealed best binding affinities in case of TAC-3 (–11.2 kcal/mol), TAC-4 (–10.5 kcal/mol), TAC-6 (–11.2 kcal/mol), TAC-7 (–10.0 kcal/mol). Additional validation studies including molecular dynamics simulation and binding energy calculation using MMGBSA for protein ligand complex for 100 ns revealed the best binding interaction of TAC-3, TAC-4, TAC-6, TAC-7 against main protease of SARS-CoV-2. Moreover, the in vitroand preclinical validation of identified compounds will help us to understand the molecular mechanisms of regulation of TACs against SARS-CoV-2.Communicated by Ramaswamy H. Sarma
Databáze: Supplemental Index