deepMDDI: A deep graph convolutional network framework for multi-label prediction of drug-drug interactions.

Feng, Yue-Hua; Zhang, Shao-Wu; Zhang, Qing-Qing; Zhang, Chu-Han; Shi, Jian-Yu

Feng, Yue-Hua; Zhang, Shao-Wu; Zhang, Qing-Qing; Zhang, Chu-Han; Shi, Jian-Yu.

Afiliação

Feng YH; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China.
Zhang SW; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China. Electronic address: zhangsw@nwpu.edu.cn.
Zhang QQ; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China.
Zhang CH; School of Software, Northwestern Polytechnical University, Xian, 710072, China.
Shi JY; School of Life Sciences, Northwestern Polytechnical University, Xi'an, 710072, China. Electronic address: jianyushi@nwpu.edu.cn.

Anal Biochem ; 646: 114631, 2022 06 01.

Article em En | MEDLINE | ID: mdl-35227661

Assuntos

Interações Medicamentosas

Palavras-chave

Drug-drug interactions; Graph convolution network; Inductive prediction; Multi-label prediction; Transductive prediction

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interações Medicamentosas Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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