Objective: Overconsumption of processed foods has led to an increase in chronic diet-related diseases such obesity and type 2 diabetes. Although diets high in fresh fruits and vegetables are linked with healthier outcomes, the specific mechanisms for these relationships are poorly understood. Experiments examining plant phytochemical production and breeding programs, or separately on the health effects of nutritional supplements have yielded results that are sparse, siloed, and difficult to integrate between the domains of human health and agriculture. To connect plant products to health outcomes through their molecular mechanism an integrated computational resource is necessary.
Results: We created the Aliment to Bodily Condition Knowledgebase (ABCkb) to connect plants to human health by creating a stepwise path from plant [Formula: see text] plant product [Formula: see text] human gene [Formula: see text] pathways [Formula: see text] indication. ABCkb integrates 11 curated sources as well as relationships mined from Medline abstracts by loading into a graph database which is deployed via a Docker container. This new resource, provided in a queryable container with a user-friendly interface connects plant products with human health outcomes for generating nutritive hypotheses. All scripts used are available on github ( https://github.com/atrautm1/ABCkb ) along with basic directions for building the knowledgebase and a browsable interface is available ( https://abckb.charlotte.edu ).
Keywords: Graph database; Knowledge discovery; Knowledgebase; Neo4j; Precision nutrition; Text mining.
© 2021. The Author(s).