MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota | mSystems
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Researchers are using modeling approaches to study metabolic interactions in the gut microbiota, with some focusing on specific diseases such as type-2 diabetes. These models aim to elucidate the complex interactions between microorganisms in the human gut and other ecosystems, including the skin barrier. The use of metabolic networks and omics-based decoding is being explored to predict cross-feeding and competition interactions between microorganisms.
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