In silico identification of Erg11p blockers as potential inhibitor of clinically isolated azole-resistant Candida albicans
摘要
Fungal infections cause nearly 1.7 million deaths each year, with Candida albicans being the leading cause of candidiasis, particularly in patients who are immunocompromised. Fluconazole, a first-line triazole antifungal, is increasingly compromised by resistance mechanisms such as mutations in ERG11 gene, efflux pump overexpression, and biofilm formation. This study aimed to identify alternative inhibitors for fluconazole-resistant 14-α-demethylase (Erg11p) through a comprehensive in-silico approach. A pharmacophore-based model was used to screen chemical libraries, followed by molecular docking to evaluate binding affinity, and molecular dynamics simulations to assess complex stability. The lead compound, CHEMBL4110051, exhibited the highest docking score (− 11.3 kcal/mol) and stable binding with key catalytic residues. Drug-likeness analysis, safety profiling, and predicted biodegradability further supported its potential. These findings present CHEMBL4110051 as a promising, environmentally conscious alternative to fluconazole for managing C. albicans infections.
Graphical abstractEntire workflow to predict the most potent Erg11p inhibitor