Integrated text mining and chemoinformatics analysis associates diet to health benefit at molecular level.
Ontology highlight
ABSTRACT:
SUBMITTER: Jensen K
PROVIDER: S-EPMC3894162 | biostudies-literature | 2014 Jan
REPOSITORIES: biostudies-literature
Publications
Integrated text mining and chemoinformatics analysis associates diet to health benefit at molecular level.
Jensen Kasper K Panagiotou Gianni G Kouskoumvekaki Irene I
PLoS computational biology 20140116 1
Awareness that disease susceptibility is not only dependent on genetic make up, but can be affected by lifestyle decisions, has brought more attention to the role of diet. However, food is often treated as a black box, or the focus is limited to few, well-studied compounds, such as polyphenols, lipids and nutrients. In this work, we applied text mining and Naïve Bayes classification to assemble the knowledge space of food-phytochemical and food-disease associations, where we distinguish between ...[more]
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