Identifying drug-target interactions via heterogeneous graph attention networks combined with cross-modal similarities.

Jiang, Lu; Sun, Jiahao; Wang, Yue; Ning, Qiao; Luo, Na; Yin, Minghao

Jiang, Lu; Sun, Jiahao; Wang, Yue; Ning, Qiao; Luo, Na; Yin, Minghao.

Afiliación

Jiang L; School of Information Science and Technology, Northeast Normal University, Jingyue Street, 130117, Changchun, China.
Sun J; School of Information Science and Technology, Northeast Normal University, Jingyue Street, 130117, Changchun, China.
Wang Y; Department of Information Science and Technology, Dalian Maritime University, Lingshui Street, 116026, Dalian, China.
Ning Q; Department of Information Science and Technology, Dalian Maritime University, Lingshui Street, 116026, Dalian, China.
Luo N; School of Information Science and Technology, Northeast Normal University, Jingyue Street, 130117, Changchun, China.
Yin M; School of Information Science and Technology, Northeast Normal University, Jingyue Street, 130117, Changchun, China.

Brief Bioinform ; 23(2)2022 03 10.

Article en En | MEDLINE | ID: mdl-35224614

Asunto(s)

Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos; Redes Neurales de la Computación; Descubrimiento de Drogas; Interacciones Farmacológicas; Humanos; Proteínas/metabolismo

Palabras clave

DTIs prediction; convolutional neural network; cross-modal similarity; heterogeneous graph attention network; random walk with restart

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China

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