Genome-scale metabolic modeling can provide a substantial insight into developing a strategy to mitigate the damage caused by M. gallisepticum. Using a number of different sources, it was possible to combine information based on the bacteria’s genome annotation, bioenergetic requirements, as well as its associated reaction stoichiometry to create a preliminary model. However, even with this information, it was impossible to generate a feasible solution for the model. It was hypothesized that metabolic constraints were either missing or incomplete. To determine which metabolic constraints were not fulfilled, a genetic algorithm was implemented to evolve a metabolic model resulting in a feasible model solution, as well as facilitating the identification missing reactions.
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