Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature

OBJECTIVE: Develop a novel methodology to create a comprehensive knowledge graph (SuppKG) to represent a domain with limited coverage in the Unified Medical Language System (UMLS), specifically dietary supplement (DS) information for discovering drug-supplement interactions (DSI), by leveraging biom...

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Detalles Bibliográficos
Autores principales: Schutte, Dalton, Vasilakes, Jake, Bompelli, Anu, Zhou, Yuqi, Fiszman, Marcelo, Xu, Hua, Kilicoglu, Halil, Bishop, Jeffrey R., Adam, Terrence, Zhang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335448/
https://www.ncbi.nlm.nih.gov/pubmed/35709900
http://dx.doi.org/10.1016/j.jbi.2022.104120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335448/
https://www.ncbi.nlm.nih.gov/pubmed/35709900
http://dx.doi.org/10.1016/j.jbi.2022.104120

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