Molecular Docking Study of Selected Antimuscarinic Drugs Against 3D Modeling Candida albicans Rrp9 Protein Using GOLD Revealed a New Antifungal Strategy

The prevailing fungal infections, especially with Candida albicans are serious health concern particularly in immunocompromised patients. Considering the menace of drug resistance and tremendous mortality ratio of Candida-related infections, consequential efforts are ongoing to characterize new drug targets or agents for therapeutic intervention. As a consequence, in the present study, we targeted Rrp9 protein from Candida albicans which plays an essential role in ribosome biogenesis and it has role in the cellular response to certain drugs. Sequence analysis using BLAST protein search and 3D modeling using Discovery Studio (DS) program for Rrp9 protein prediction were carried out. The antifungal activity of few selected ligands, antimuscarinc acetylcholine receptor drugs (Dicyclomine, Solifenacin, Hydroxyzine, Promethazine and Flavoxate) on the predicted 3D model of Rrp9 protein through molecular docking studies using GOLD software was done. Our in silico analysis afforded insight information of structure and binding interactions of 3D modeling C. albicans Rrp9 protein with these selected ligands. All compounds showed good docking interaction with Rrp9 protein. The antimuscarinic, Solifenacin succinate presented better interactions with good binding energy. We suggested that these antimuscarinic drugs can be used as anti-Candidal albicans as well as antifungal agents.