The emergence of novel pathogenic strains with increased antibacterial resistance patterns poses a significant threat to the\nmanagement of infectious diseases. In this study, we aimed at utilizing the subtractive genomic approach to identify novel drug\ntargets against Salmonella enterica subsp. enterica serovar Poona strain ATCC BAA-1673. We employed in silico bioinformatics\ntools to subtract the strain-specific paralogous and host-specific homologous sequences from the bacterial proteome. The sorted\nproteome was further refined to identify the essential genes in the pathogenic bacterium using the database of essential genes\n(DEG). We carried out metabolic pathway and subcellular location analysis of the essential proteins of the pathogen to elucidate\nthe involvement of these proteins in important cellular processes.We found 52 unique essential proteins in the target proteome that\ncould be utilized as novel targets to design newer drugs. Further, we investigated these proteins in the DrugBank databases and\n11 of the unique essential proteins showed druggability according to the FDA approved drug bank databases with diverse broadspectrum\nproperty. Molecular docking analyses of the novel druggable targets with the drugs were carried out by AutoDock Vina\noption based on scoring functions.The results showed promising candidates for novel drugs against Salmonella infections.
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