MetaboFood-KDB is a novel “first of its kind” database targeting personalized nutrition, which supports the common public and researchers in nutrition, epidemiology, metabolomics, exposomics, microbiology, toxicology and medicine.

MetaboFood-KDB is a food composition knowledgebase which captures chemical, analytical, spectral, and biological data; and having a data visualization interface provides users the ability to explore connections or relationships between food, diet, the human metabolome, biochemical pathway and disease pathology. As it’s a knowledgebase platform it also provides the capacity for research synthesis, where researchers can explore research questions using filters and dropdown menus to generate their own unique datasets.

This is a large initiative involving the collaboration with nutrition and food scientists, biochemists, programmers, bioinformaticists, and data visualization experts at NCSU and UNC-Charlotte.

The database is based on 14 original systematic reviews and has being extended to include further foods, metadata extraction of chemical identifiers, nutrition intervention study data for compound identification and including MS/MS spectra, pathway identifiers, and integration with the on-line metabolomic knowledge-base platform ADAP-KDB (Automated Data Analysis Pipeline-Knowledge Database) a publicly available database developed for tracking and prioritizing known and unknown mass spectra extracted from publicly available data repositories including the NIH’s Metabolomics Data Repository (also known as the Metabolomics Workbench). Continued development of our MetaboFood-KDB includes expansion to most commonly consumed fruits, vegetables, supplements, and processed foods common in the US diet.