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Advancing the Food Metabolome Database for Health: Funding, Models, and Applications

Explore the challenges and opportunities in funding and developing databases for the food metabolome. Understand the importance in bridging nutrition and pharma applications, utilizing models for complex data, and predicting food properties. Learn how these databases can lead to healthier food composition and disease prevention.

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Advancing the Food Metabolome Database for Health: Funding, Models, and Applications

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  1. Databases and the food metabolome (1) • Funding the construction of database is not easy • Pharma applications more easily funded than nutrition applications • Finding the killer app • Nutrition is a quantitative science • Towards pharma standards • Models to take the food complexity into account • Prediction of food/diet properties • Predict the nutritional environment • To better design experiments • From food composition to health • Protein targets • Diseases • Surrogate markers • Taste • Mining the food metabolome for new drugs (structure comparison)

  2. Databases and the food metabolome (2) • Who should fund these developments • Public bodies • Food industries or federation of food industries • All convinced that such databases are needed • Who is ready to participate to their development? • Inventory of available resources • Repository of available data (metabolomics, npDB)

  3. List of participants • Beckman, Manfred • Eiden, Michael • Evelo, Chris • Fiehn, Oliver • Giacomoni, Frank • Hanhineva, Kati • Llorach, Rafa • Rowan, Daryl • Scalbert, Augustin • van Duynhoven, John • van Iersel, Martijn

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