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DeepPSE: Prediction of polypharmacy side effects by fusing deep representation of drug pairs and attention mechanism.

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第一作者： Shenggeng,Lin

第一单位： State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.

作者： Shenggeng,Lin ^[1] ; Guangwei,Zhang ^[2] ; Dong-Qing,Wei ^[3] ; Yi,Xiong ^[4]

作者单位： State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China. ^[1] School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China. ^[2] State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China; Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Meixi, Nayang, Henan, 473006, China; Peng Cheng National Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nanshan District, Shenzhen, Guangdong, 518055, China. Electronic address: dqwei@sjtu.edu.cn. ^[3] State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China; Shanghai Artificial Intelligence Laboratory, Shanghai, China. Electronic address: xiongyi@sjtu.edu.cn. ^[4]

关键词 Drug-drug interactions Feature fusion Polypharmacy side effect prediction Self-attention mechanism

主题词人类(Humans);多种药物疗法(Polypharmacy);软件(Software)

DOI 10.1016/j.compbiomed.2022.105984

PMID 35994933

发布时间 2022-09-30

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