In silico prediction and structure-based multitargeted molecular docking analysis of selected bioactive compounds against mucormycosis.

ABSTRACT:

Background

During the second wave of the COVID-19 pandemic, an unusual increase in cases of mucormycosis was observed in India, owing to immunological dysregulation caused by the SARS-CoV-2 and the use of broad-spectrum antibiotics, particularly in patients with poorly controlled diabetes with ketoacidosis to have contributed to the rise, and it has been declared an epidemic in several states of India. Because of the black colouring of dead and dying tissue caused by the fungus, it was dubbed "black fungus" by several Indian media outlets. In this study, attempts were taken to unmask novel therapeutic options to treat mucormycosis disease. Rhizopus species is the primary fungi responsible for 70% of mucormycosis cases.

Results

We chose three important proteins from th

SUBMITTER: Madanagopal P 

PROVIDER: S-EPMC8802264 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature