An integrated multiphase dynamic genome-scale model explains batch fermentations led by species of the <i>Saccharomyces</i> genus.
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ABSTRACT: During batch fermentation, a variety of compounds are synthesized, as microorganisms undergo distinct growth phases: lag, exponential, growth-no-growth transition, stationary, and decay. A detailed understanding of the metabolic pathways involved in these phases is crucial for optimizing the production of target compounds. Dynamic flux balance analysis (dFBA) offers insight into the dynamics of metabolic pathways. However, explaining secondary metabolism remains a challenge. A multiphase and multi-objective dFBA scheme (MPMO model) has been proposed for this purpose. However, its formulation is discontinuous, changing from phase to phase; its accuracy in predicting intracellular fluxes is hampered by the lack of a mechanistic link between phases; and its simulation requires considerable co
SUBMITTER: Moimenta AR
PROVIDER: S-EPMC11838008 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature
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