A computational approach using mathematical modeling to assess the peptidoglycan biosynthesis of Clostridium botulinum ATCC 3502 for potential drug targets
作者： Tulika Bhardwaj , Pallavi Somvanshi
DOI: 10.1016/J.GENREP.2018.07.002
关键词:
摘要: Abstract C.botulinum ATCC 3502 is an obligate rod-shaped spore forming anaerobe causing food poisoning cases worldwide. The increased burden of sporadic hospital outbreaks reflects the pandemicity caused by this pathogen. Several attempts to control disease surveillance, emergence antibiotic resistant strains plagued defense provided drugs. Peptidoglycan biosynthesis targeted identify potential drug targets due presence no functional homolog in host (Homo sapiens). role peptidoglycan provide strength, fragility and protection bacterial cells; therefore, it considered as attractive target for identification. This study involves systematic exploration pathway performing metabolic pathways analysis two phases (1) mathematical modeling (2) elementary mode (EM). Performing stoichiometric kinetic discerns steady state conditions system scrutinize nodes with well-defined objective function. identifies Mur ligase enzymes (murA, murB, murC, murD), D-alanine-D-alanine glutamate racemase therapeutic discovery. Further, quantitative characterized their pathogenicity. Physicochemical characterization subcellular localization assist understanding biological activity identified under different environmental conditions.
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