The prolonged use of antibiotics results in drug resistance in pathogenic microorganisms. This necessitates the identification of novel drug targets that are useful for the development of effective antimicrobial drugs. In the post-genomic era, computational tools and methods have contributed immensely in identifying such novel targets, thereby accelerating the drug discovery process. In the present study, an extensive in silico analysis of the proteome of the pathogenic yeast, Candida tropicalis was performed to identify potential drug targets. The complete proteome of C. tropicalis retrieved from Uniprot was analysed using the CD-HIT algorithm followed by BLAST for eliminating proteins homologous to human proteome. The selected proteins were then analyzed using DEG database for identifying critical genes for the survival. The identified essential proteins were subjected to pathway analysis using KEGG to predict their involvement in metabolism. This approach resulted in the identification of 20 potential drug targets present in C. tropicalis.
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