Abstract
Biofuels are metabolic products, and knowledge of how metabolism operates is critical for understanding and improving biofuel production by microorganisms. Constraint-based metabolic modeling has been an important technique to broaden and deepen our knowledge of microbial metabolism and regulation. Genome-scale metabolic models enable global analysis of microbial metabolism by considering all metabolic reactions simultaneously. Genome-scale metabolic reconstructions are comprehensive listings of all the reactions, compounds, and genes that are involved in cellular metabolism for a particular organism. Constraint-based modeling methods use the information in metabolic reconstructions to predict intracellular fluxes and design strains for chemical and biofuel production. Recently, constraint-based modeling has been successful in designing a number of chemical production strains.
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