Multi-type feature fusion based on graph neural network for drug-drug interaction prediction

BACKGROUND: Drug-Drug interactions (DDIs) are a challenging problem in drug research. Drug combination therapy is an effective solution to treat diseases, but it can also cause serious side effects. Therefore, DDIs prediction is critical in pharmacology. Recently, researchers have been using deep le...

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Detalles Bibliográficos
Autores principales: He, Changxiang, Liu, Yuru, Li, Hao, Zhang, Hui, Mao, Yaping, Qin, Xiaofei, Liu, Lele, Zhang, Xuedian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188183/
https://www.ncbi.nlm.nih.gov/pubmed/35689200
http://dx.doi.org/10.1186/s12859-022-04763-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188183/
https://www.ncbi.nlm.nih.gov/pubmed/35689200
http://dx.doi.org/10.1186/s12859-022-04763-2

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