ABSTRACT
Dermatophytosis is a cutaneous infection that is able to degrade the keratinized tissues of the animal/human body, like skin, nails, and hair, causing chronic or subacute infection with the contact of some specific fungal strains. Trichophyton mentagrophytes are the most potential fungal pathogen causing dermatophytoses. The present study focuses on computationally based in silico antifungal activity of selected phytocompounds of Leucas aspera (Willd.) Link. against dermatophytic fungus, T. mentagrophytes. Validation and screening of derived phytocompounds is performed using Lipinski rule of five and toxicity test through Protox-II. Five target genes involved in dermatophytosis, induced by T. mentagrophytes are retrieved from the UniProt Database, and the corresponding proteins such as glucan 1,3-beta-glucosidase ARB_02797, Probable class II chitinase ARB_00204, squalene monooxygenase, actin, and ubiquitin are selected for in silico study. Three-dimensional structures of the target protein were computationally determined and validated through modeling tools and techniques due to the lack of validated protein structures in the database. Then, these proteins are used for in silico molecular docking through the AutoDock Vina tool to find out the promising phytocompounds. This study could be utilized in designing more effective drugs against T. mentagrophytes. Based on this work, a plant-based natural alternative can be added to the treatment of dermatophytosis rather than synthetic supplements.
