A Knowledge-Graph-Based Multimodal Deep Learning Framework for Identifying Drug–Drug Interactions

The identification of drug–drug interactions (DDIs) plays a crucial role in various areas of drug development. In this study, a deep learning framework (KGCN_NFM) is presented to recognize DDIs using coupling knowledge graph convolutional networks (KGCNs) with neural factorization machines (NFMs). A...

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Detalles Bibliográficos
Autores principales: Zhang, Jing, Chen, Meng, Liu, Jie, Peng, Dongdong, Dai, Zong, Zou, Xiaoyong, Li, Zhanchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919258/
https://www.ncbi.nlm.nih.gov/pubmed/36771157
http://dx.doi.org/10.3390/molecules28031490

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919258/
https://www.ncbi.nlm.nih.gov/pubmed/36771157
http://dx.doi.org/10.3390/molecules28031490

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