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Drug Synergistic Combinations Predictions via Large-Scale Pre-training and Graph Structure Learning

文献类型: 会议论文

第一作者: Zhihang Hu

作者: Zhihang Hu 1 ; Qinze Yu 1 ; Yucheng Guo 2 ; Taifeng Wang 2 ; Irwin King 1 ; Xin Gao 3 ; Le Song 2 ; Yu Li 4 ;

作者机构: 1.Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Hong Kong SAR, China

2.BioMap (Beijing) Intelligence Technology Limited, Beijing, China

3.Computational Bioscience Reseach Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

4.Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Hong Kong SAR, China , The CUHK Shenzhen Research Institute, Hi-Tech Park, Nanshan, Shenzhen, China

关键词: Drug discovery;Deep learning;Biological networks;Synergistic effect

会议名称: Annual International Conference on Research in Computational Molecular Biology

主办单位:

页码: 265-267

摘要: Drug combination therapy is a well-established technique for disease treatment that improves efficacy while decreasing safety risks. In this study, we present a computational predictive pipeline that makes use of a wide range of biological resources as well as current breakthroughs in deep learning.

分类号: q81

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