DACPGTN: Drug ATC Code Prediction Method Based on Graph Transformer Network for Drug Discovery.

Yan, Chaokun; Suo, Zhihao; Wang, Jianlin; Zhang, Ge; Luo, Huimin

Yan, Chaokun; Suo, Zhihao; Wang, Jianlin; Zhang, Ge; Luo, Huimin.

Afiliação

Yan C; School of Computer and Information Engineering, Henan University, Kaifeng, China.
Suo Z; Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China.
Wang J; School of Computer and Information Engineering, Henan University, Kaifeng, China.
Zhang G; Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China.
Luo H; School of Computer and Information Engineering, Henan University, Kaifeng, China.

Front Pharmacol ; 13: 907676, 2022.

Article em En | MEDLINE | ID: mdl-35721178

Palavras-chave

drug ATC code; drug discovery; graph transformer network; interaction information; multi-label classification

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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: Front Pharmacol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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