ISSN: 0973-7510

E-ISSN: 2581-690X

Review Article | Open Access
Afzal Hussain and Chandan Kumar Verma
Department of Bioinformatics, Maulana Azad National Institute of Technology, Bhopal – 462 003, Madhya Pradesh, India.
J Pure Appl Microbiol. 2021;15(2):556-579 | Article Number: 6866 | © The Author(s). 2021
Received: 20/01/2021 | Accepted: 25/05/2021 | Published: 01/06/2021

Candida albicans is a yeast that is an opportunistic fungal pathogen and also identified as ubiquitous polymorphic species that is mainly linked with major fungal infections in humans, particularly in the immunocompromised patients including transplant recipients, chemotherapy patients, HIV-infected patients as well as in low-birth-weight infants. Systemic Candida infections have a high mortality rate of around 29 to 76%. For reducing its infection, limited drugs are existing such as caspofungin, fluconazole, terbinafine, and amphotericin B, etc. which contain unlikable side effects and also toxic. This review intends to utilize advanced bioinformatics technologies such as Molecular docking, Scaffold hopping, Virtual screening, Pharmacophore modeling, Molecular dynamics (MD) simulation for the development of potentially new drug candidates with a drug-repurpose approach against Candida albicans within a limited time frame and also cost reductive.


Benzofurans, Benzothiazoles, Biofilm, Inhibitors, Myristoylation, Simulation

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