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Covers exercises on genome-scale metabolic models, including FBA and TFA analysis, as well as modeling kinetics.
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Explores glycolysis, ATP synthesis, fermentation pathways, and the role of coenzymes in enzyme catalysis.
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Explores machine learning in chemistry, focusing on Bayesian reaction optimization and shifting the experimental burden from humans to machines.
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