AUTHOR=Valathoor Mohammed Naveez , Venugopal Subhashree , Rajan Anand Prem 

TITLE=Subtractive genomic approach to uncover novel drug targets in Salmonella typhimurium and computational screening of food-based polyphenols as inhibitors

JOURNAL=Frontiers in Bioinformatics

VOLUME=Volume 5 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/bioinformatics/articles/10.3389/fbinf.2025.1695217

DOI=10.3389/fbinf.2025.1695217

ISSN=2673-7647

ABSTRACT=IntroductionThe rise of multidrug-resistant Salmonella typhimurium is a severe public health threat that renders conventional antibiotics ineffective. This study employed a computational strategy to identify a novel drug target in S. typhimurium and screen food-based polyphenols as potential inhibitors.MethodsA subtractive genomics approach was used to identify essential, pathogen-specific proteins. A lead target was prioritized based on its druggability, localization, and network interactions. The target’s 3D structure was then modeled for molecular docking, molecular dynamics (MD) simulations, and binding free energy calculations with a polyphenol library.ResultsThe screening identified UDP-N-acetylglucosamine transferase (MurG) as a promising and previously unexplored drug target. The polyphenol 6-prenylnaringenin showed a superior binding affinity for MurG compared to the antibiotic ciprofloxacin. Subsequent MD simulations and binding free energy calculations confirmed that the MurG-6-prenylnaringenin complex was significantly more stable.ConclusionThis study validates MurG as a druggable target in S. typhimurium and identifies 6-prenylnaringenin as a potent inhibitor. With computational metrics superior to ciprofloxacin, 6-prenylnaringenin is a promising lead compound for developing new anti-Salmonella therapeutics. Future experimental validation is required to confirm these in silico findings.