Data Science - Food for Health
analysis of large set of data
International Research project
Data Science is the analysis of a large set of data produced from different sources. At Eptes, we are working on the development and the coordination of a long-term, flexible and open International Network and digital platform for linking natural molecules present in edible plants and food and their proprieties to health condition and disorders.
This project will be submitted as a COST Action and involve the participation of large number of international research organisations and industries. Numeric mapping of already known mechanisms of biological pathway regulations in medicinal and edible plants and qualification of small metabolites in food in general are some of the big challenges of this project.
We have already identified a large number of small molecules present in tea, herbal infusions, medicinal plants in general that we consume and take daily. We have quantify many of these small molecules and established a classification of theirs actions and bioactive proprieties.
Food & Flavours
For many years we have been working on the identification of small molecules in vegetables, cooked food, dairy products, edible mushrooms, honey and alcohoolic beverages such as wine, beer and in chocolate, bakery products, etc. We have now collected a very large data set of information.
We have a very broad knowled on how proteins, sugar, lipids and some molecultes that we take daily are transformed in our body and metabolised into glucose, fat and amino acids. But very few is known about the destiny of thousens of small molecules in our body.