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首页> Bioinformatics (Oxford, England)> WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest.

WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest.

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作者： Jiansheng,Wu ^[1] ; Qiuming,Zhang ^[2] ; Weijian,Wu ^[3] ; Tao,Pang ^[4] ; Haifeng,Hu ^[5] ; Wallace K B,Chan ^[3] ; Xiaoyan,Ke ^[6] ; Yang,Zhang ^[7]

作者单位： School of Geographic and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing, China. ^[1] Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA. ^[2] School of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China. ^[3] College of Computer and Information, Hohai University, Nanjing, China. ^[4] Jiangsu Key Laboratory of Drug Screening, China Pharmaceutical University, Nanjing, China. ^[5] Department of Biological Chemistry, University of Michigan, Ann Arbor, USA. ^[6] Child Mental Health Research Center, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China. ^[7]

主题词动物(Animals);计算生物学(Computational Biology);药物发现(Drug Discovery);药物评价, 临床前(Drug Evaluation, Preclinical);人类(Humans);配体(Ligands);受体, G-蛋白偶联(Receptors, G-Protein-Coupled)

DOI 10.1093/bioinformatics/bty070

PMID 29432522

发布时间 2020-03-06

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Bioinformatics (Oxford, England)

Bioinformatics (Oxford, England)

2018年34卷13期

2271-2282页

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