DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks.

Xu, Mengdie; Zhao, Xinwei; Wang, Jingyu; Feng, Wei; Wen, Naifeng; Wang, Chunyu; Wang, Junjie; Liu, Yun; Zhao, Lingling

Xu, Mengdie; Zhao, Xinwei; Wang, Jingyu; Feng, Wei; Wen, Naifeng; Wang, Chunyu; Wang, Junjie; Liu, Yun; Zhao, Lingling.

Afiliação

Xu M; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Zhao X; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Wang J; Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Feng W; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Wen N; School of Mechanical and Electrical Engineering, Dalian Minzu University, Dalian, China.
Wang C; Faculty of Computing, Harbin Institute of Technology, Harbin, China.
Wang J; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Liu Y; Institute of Medical Informatics and Management, Nanjing Medical University, No. 300 Guang Zhou Road, Nanjing, 210029, China.
Zhao L; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China. liuyun@njmu.edu.cn.

J Cheminform ; 15(1): 33, 2023 Mar 16.

Article em En | MEDLINE | ID: mdl-36927504

Palavras-chave

Deep learning; Drug combination; Dual-feature fusion; Synergistic effect

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Cheminform Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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