In silico approaches for screening molecular targets in Candida albicans: A proteomic insight into drug discovery and development

Abstract

Candida species are opportunistic pathogens which can cause conditions ranging from simple mucocutaneous infections to fungemia and death in immunosuppressed and hospitalized patients. Candida albicans is considered to be the species mostly associated with fungal infections in humans and, therefore, the mostly studied yeast. This microorganism has survival and virulence factors which, allied to a decreased host immunity response, make infection more difficult to control. Today, the current limited antifungal arsenal and a dramatic increase in fungal resistance have driven the need for the synthesis of drugs with novel mechanisms of action. However, the development of a new drug from discovery to marketing takes a long time and is highly costly. The objective of this review is to show that with advances in biotechnology and biofinformatics, in silico tools such as molecular docking can optimize such a timeline and reduce costs, while contributing to the design and development of targeted drugs. Here we highlight the most promising protein targets in Candida albicans for the development of drugs with new mechanisms of action.

Keywords: Bioinformatics; Candida albicans; Infection Control; Molecular docking.