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

Zhang, Jing; Chen, Meng; Liu, Jie; Peng, Dongdong; Dai, Zong; Zou, Xiaoyong; Li, Zhanchao

Zhang, Jing; Chen, Meng; Liu, Jie; Peng, Dongdong; Dai, Zong; Zou, Xiaoyong; Li, Zhanchao.

Afiliación

Zhang J; School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Chen M; School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Liu J; School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Peng D; School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Dai Z; School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Zou X; School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China.
Li Z; School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, China.

Molecules ; 28(3)2023 Feb 03.

Article en En | MEDLINE | ID: mdl-36771157

Asunto(s)

Aprendizaje Profundo; Simulación del Acoplamiento Molecular; Algoritmos; Interacciones Farmacológicas; Desarrollo de Medicamentos

Palabras clave

drug-drug interaction prediction; knowledge graph convolutional networks; neural factorization machines

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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