Coenzyme A (CoA) is a vital cofactor for all organisms, central to numerous cellular processes. Approximately 4% of all known enzymes utilize CoA as a cofactor. This study introduces a comprehensive model of the CoA biosynthesis pathway using petri-nets, a mathematical and graphical tool well-suited for representing biochemical networks. A petri-net provides a comprehensive way to study complex biological processes using visual representations, simulations, and analytical methods. In this study, the metabolic pathway is broken down into reactions and metabolites, which are then modeled using petri-net components: places (representing metabolites) and transitions (representing biochemical reactions). The model captures stoichiometric relationships and regulatory mechanisms within the pathway. This petri-net model of CoA biosynthesis clarifies complex metabolic interactions in Mycobacterium tuberculosis H37Rv acts as a predictive tool for simulating the impacts of genetic and environmental changes. This approach improves understanding of mycobacterial metabolism and supports developing innovative strategies to combat tuberculosis by targeting essential metabolic processes.