Unknown

Dataset Information

Computational studies of potential antiviral compounds from some selected Nigerian medicinal plants against SARS-CoV-2 proteins.


ABSTRACT: The challenges posed by COVID-19's emergence have led to a search for its therapies. There is no cure for COVID-19 infection yet, but there is significant progress in vaccine formulation for prophylaxis and drug development (such as Paxlovid) for high-risk patients. As a contribution to the ongoing quest for solutions, this study shows potent phytocompounds identification as inhibitors of SARS-CoV-2 targets using in silico methods. We used virtual screening, molecular docking, and molecular dynamics (MD) simulations to investigate the interaction of some phytochemicals with 3CLpro, ACE2, and PLpro proteins crucial to the SARS-CoV-2 viral cycle. The predicted docking scores range from -5.5 to -9.4 kcal/mol, denoting appreciable binding of these compounds to the SARS-CoV-2 proteins and prese

SUBMITTER: Ibeh RC 

PROVIDER: S-EPMC10030444 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature