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In this context, several computational platform technologies will be presented that are aimed at understanding the biosynthesis of secondary metabolites with focus on antibiotics discovery, human metabolism modeling for drug targeting of cancers and predicting drug interactions. In these technologies, genome-scale metabolic modeling and machine learning, especially deep learning, play central roles. 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