Unknown

Dataset Information

Computational guided identification of potential leads from Acacia pennata (L.) Willd. as inhibitors for cellular entry and viral replication of SARS-CoV-2.


ABSTRACT:

Background

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started in 2019 and is still an on-going pandemic. SARS-CoV-2 uses a human protease called furin to aid in cellular entry and its main protease (Mpro) to achieve viral replication. By targeting these proteins, scientists are trying to identify phytoconstituents of medicinal plants as potential therapeutics for COVID-19. Therefore, our study was aimed to identify promising leads as potential inhibitors of SARS-CoV-2 Mpro and furin using the phytocompounds reported to be isolated from Acacia pennata (L.) Willd.

Results

A total of 29 phytocompounds were reported to be isolated from A. pennata. Molecular docking simulation stud

SUBMITTER: Zothantluanga JH 

PROVIDER: S-EPMC8502097 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature