A novel graph mining approach to predict and evaluate food-drug interactions

Food-drug interactions (FDIs) arise when nutritional dietary consumption regulates biochemical mechanisms involved in drug metabolism. This study proposes FDMine, a novel systematic framework that models the FDI problem as a homogenous graph. Our dataset consists of 788 unique approved small molecul...

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Detalles Bibliográficos
Autores principales: Rahman, Md. Mostafizur, Vadrev, Srinivas Mukund, Magana-Mora, Arturo, Levman, Jacob, Soufan, Othman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776972/
https://www.ncbi.nlm.nih.gov/pubmed/35058561
http://dx.doi.org/10.1038/s41598-022-05132-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776972/
https://www.ncbi.nlm.nih.gov/pubmed/35058561
http://dx.doi.org/10.1038/s41598-022-05132-y

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