Identifying Putative Drug Target in Methicillin Resistant Staphylococcus aureus Using in silico Proteome Subtraction Analysis

Abstract

This paper analyzes the proteomes of 15 different MRSA strains using an in silico subtraction approach to identify putative drug targets. Various bioinformatics tools were used to screen for paralogous sequences and homologous proteins against the host (Homo sapiens) from the bacterial proteome. The remaining proteins were further analyzed to identify essential proteins using the Database of Essential Genes (DEG). The results show that 2,235 proteins in MRSA were not homologous with the host proteome, and 158 of these proteins were identified as the essential proteins for the viability of S. aureus according to DEG. Moreover, metabolic pathway analysis of essential proteins with the Kyoto Encyclopedia of Genes and Genomes (KEGG) verified that 49 proteins participated in 11 unique metabolic pathways in MRSA. The identified proteins are expected to have great potential in drug design against MRSA.

Keywords

Drug targets, essential proteins, human non-homologous, MRSA, proteome subtraction.

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