Introduction: Ralstonia solanacearum IPO1609 (Rs IPO1609) is a gram-negative phytopathogenic bacteria that causes severe__ampersandsignnbsp;bacterial wilt disease in potatoes. Agricultural practices and agrochemicals are often ineffective solutions to control it. Identification of essential antibacterial targets in the phytopathogen could enable the design/development of suitable bactericides and__ampersandsignnbsp;eventually, control potato brown rot. Objective: To reveal prospective antibacterial targets in Rs IPO1609 utilizing subtractive genomics strategy coupled with differential pathway analysis, subcellular localization, virulent prediction and drug bank database screening. Methods: The study was designed to identify potential antibacterial targets in Rs IPO1609. Among the 4545 proteins present in the pathogen, non-orthologs cum non-paralogs were obtained and subjected to in silico comparative analysis against potato proteome to reveal non-homologous proteins present in the bacterium. Furthermore, the essentiality of these non-homologs for pathogen__ampersandsignrsquo;s survival was determined using DEG Database. Metabolic pathways involvement of the short-listed essential proteins was implemented using KAAS and virulent proteins were determined using MP3 web server analysis. Intracellular localization of essential virulent proteins determined using CELLO2GO __ampersandsignamp; PSORTb programs enable enlisting of plausible antibacterial targets. Results: Subtractive genomics-based approach revealed that a list of 136 proteins of Rs IPO1609 were potato non-homologs and essential. A total of 55 targets are involved in the unique biochemical pathways of the pathogen. Of 55, 29 proteins were__ampersandsignnbsp;found virulent. Furthermore, based on intracellular localization, 3 virulent proteins were identified as promising therapeutic targets. Conclusion: Among the 55 targets identified in this study, three proteins were found highly potential as antibacterial targets in Rs IPO1609 based on their metabolic pathway, virulence and intracellular localization properties. The outcome might be used as a design in genomics-based strategies to control bacterial phytopathogens.