Unknown

Dataset Information

Computational investigation of natural compounds as potential main protease (Mpro) inhibitors for SARS-CoV-2 virus.


ABSTRACT: The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is significantly impacting human lives, overburdening the healthcare system and weakening global economies. Plant-derived natural compounds are being largely tested for their efficacy against COVID-19 targets to combat SARS-CoV-2 infection. The SARS-CoV-2 Main protease (Mpro) is considered an appealing target because of its role in replication in host cells. We curated a set of 7809 natural compounds by combining the collections of five databases viz Dr Duke's Phytochemical and Ethnobotanical database, IMPPAT, PhytoHub, AromaDb and Zinc. We applied a rigorous computational approach to identify lead molecules from our curated compound set using docking, dynamic

SUBMITTER: Patel CN 

PROVIDER: S-EPMC9673090 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature