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DOI | 10.1038/s41467-019-08467-9 |
A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information | |
Luo, Yunan1,2; Zhao, Xinbin3; Zhou, Jingtian3; Yang, Jinglin1; Zhang, Yanqing1; Kuang, Wenhua3; Peng, Jian2; Chen, Ligong3,4,5; Zeng, Jianyang1 | |
2019-01-31 | |
发表期刊 | NATURE COMMUNICATIONS
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ISSN | 2041-1723 |
出版年 | 2017 |
卷号 | 8 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | The emergence of large-scale genomic, chemical and pharmacological data provides new opportunities for drug discovery and repositioning. In this work, we develop a computational pipeline, called DTINet, to predict novel drug-target interactions from a constructed heterogeneous network, which integrates diverse drug-related information. DTINet focuses on learning a low-dimensional vector representation of features, which accurately explains the topological properties of individual nodes in the heterogeneous network, and then makes prediction based on these representations via a vector space projection scheme. DTINet achieves substantial performance improvement over other state-of-the-art methods for drug-target interaction prediction. Moreover, we experimentally validate the novel interactions between three drugs and the cyclooxygenase proteins predicted by DTINet, and demonstrate the new potential applications of these identified cyclooxygenase inhibitors in preventing inflammatory diseases. These results indicate that DTINet can provide a practically useful tool for integrating heterogeneous information to predict new drug-target interactions and repurpose existing drugs. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000411024900009 |
WOS关键词 | NONSTEROIDAL ANTIINFLAMMATORY DRUGS ; SELECTIVE-INHIBITION ; MASS-SPECTROMETRY ; IN-VITRO ; EXPRESSION ; CYCLOOXYGENASE-2 ; IDENTIFICATION ; RECEPTOR ; TELMISARTAN ; ALENDRONATE |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/204196 |
专题 | 资源环境科学 |
作者单位 | 1.Tsinghua Univ, Inst Interdisciplinary Informat Sci, Beijing 100084, Peoples R China; 2.Univ Illinois, Dept Comp Sci, Urbana, IL 61801 USA; 3.Tsinghua Univ, Sch Pharmaceut Sci, Beijing 100084, Peoples R China; 4.Sichuan Univ, West China Med Sch, West China Hosp, Collaborat Innovat Ctr Biotherapy,State Key Lab B, Chengdu 610041, Sichuan, Peoples R China; 5.Sichuan Univ, West China Med Sch, West China Hosp, Canc Ctr, Chengdu 610041, Sichuan, Peoples R China |
推荐引用方式 GB/T 7714 | Luo, Yunan,Zhao, Xinbin,Zhou, Jingtian,et al. A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information[J]. NATURE COMMUNICATIONS,2019,8. |
APA | Luo, Yunan.,Zhao, Xinbin.,Zhou, Jingtian.,Yang, Jinglin.,Zhang, Yanqing.,...&Zeng, Jianyang.(2019).A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information.NATURE COMMUNICATIONS,8. |
MLA | Luo, Yunan,et al."A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information".NATURE COMMUNICATIONS 8(2019). |
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