Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm.

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第一作者： Xiaoqing,Ru

第一单位： Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China; School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China.

作者： Xiaoqing,Ru ^[1] ; Lida,Wang ^[2] ; Lihong,Li ^[3] ; Hui,Ding ^[4] ; Xiucai,Ye ^[5] ; Quan,Zou ^[6]

作者单位： Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China; School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China. ^[1] Scientific Research Department, Heilongjiang Agricultural Recalmation General Hospital, Harbin, China. Electronic address: 427334@qq.com. ^[2] School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China. ^[3] Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China. ^[4] Department of Computer Science, University of Tsukuba, Tsukuba Science City, Japan. ^[5] Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China; Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China. Electronic address: zouquan@nclab.net. ^[6]

关键词 Candidate compound Drug correlation GPCR Learning to rank Potential target

主题词算法(Algorithms);药用制剂(Pharmaceutical Preparations);受体, G-蛋白偶联(Receptors, G-Protein-Coupled)

DOI 10.1016/j.compbiomed.2020.103660

PMID 32090901

发布时间 2021-06-21

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