  There is rising evidence of the health benefit associated with specific
dietary interventions. Current food-disease databases focus on associations and
treatment relationships but haven't provided a reasonable assessment of the
strength of the relationship, and lack of attention on food nutrition. There is
an unmet need for a large database that can guide dietary therapy. We fill the
gap with NutriFD, a scoring network based on associations and therapeutic
relationships between foods and diseases. NutriFD integrates 9 databases
including foods, nutrients, diseases, genes, miRNAs, compounds, disease
ontology and their relationships. To our best knowledge, this database is the
only one that can score the associations and therapeutic relationships of
everyday foods and diseases by weighting inference scores of food compounds to
diseases. In addition, NutriFD demonstrates the predictive nature of nutrients
on the therapeutic relationships between foods and diseases through machine
learning models, laying the foundation for a mechanistic understanding of food
therapy.
