Jin Huang

East China University of Science and Technology (ECUST), School of Pharmacy, Shanghai Key Laboratory of New Drug Design

Shanghai

China

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Target Identification Among Known Drugs by Deep Learning from Heterogeneous Networks

Number of pages: 100 Posted: 13 May 2019
Xiamen University - Department of Computer Science, Xiamen University - Department of Computer Science, East China Normal University (ECNU) - Shanghai Key Laboratory of Regulatory Biology, East China University of Science and Technology (ECUST), School of Pharmacy, Shanghai Key Laboratory of New Drug Design, East China University of Science and Technology (ECUST), School of Pharmacy, Shanghai Key Laboratory of New Drug Design, Cleveland Clinic - Genomic Medicine Institute, Cleveland Clinic, Lerner Research Institute, Genomic Medicine Institute, China Pharmaceutical University - Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University - Key Laboratory of Drug Quality Control and Pharmacovigilance, Cleveland Clinic, Lerner Research Institute, Genomic Medicine InstituteGuangzhou University of Chinese Medicine - Institute of Clinical Pharmacology, East China Normal University (ECNU) - Shanghai Key Laboratory of Regulatory Biology, Cleveland Clinic - Department of Neurosciences, Ohio State University (OSU) - Department of Biomedical Informatics, National Institutes of Health (NIH) - National Cancer Institute at Frederick, Cleveland Clinic - Genomic Medicine Institute, Harvard University, Harvard Medical School, Brigham and Women's Hospital, Department of Medicine and Cleveland Clinic - Genomic Medicine Institute
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Abstract:

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drug-target network, deep learning, heterogeneous networks, topotecan, ROR-γt, multiple sclerosis