Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks
Hu, ShanShan4; Zhang, Chenglin1; Chen, Peng4; Gu, Pengying3; Zhang, Jun4; Wang, Bing2
刊名BMC BIOINFORMATICS
2019
卷号20
ISSN号1471-2105
其他题名Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks
英文摘要Background: Accurate identification of potential interactions between drugs and protein targets is a critical step to accelerate drug discovery. Despite many relative experimental researches have been done in the past decades, detecting drug-target interactions (DTIs) remains to be extremely resource-intensive and time-consuming. Therefore, many computational approaches have been developed for predicting drug-target associations on a large scale.
资助项目[National Natural Science Foundation of China] ; [Academic Discipline Project in The First Affiliated Hospital of USTC] ; [Educational Commission of Anhui Province] ; [Anhui Province Funds for Excellent Youth Scholars in Colleges] ; [Anhui Scientific Research Foundation for Returness] ; [fund of Co-Innovation Center for Information Supply & Assurance Technology in AHU]
语种英语
内容类型期刊论文
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/124146]  
专题中国科学院合肥物质科学研究院
作者单位1.Hefei Institutes of Physical Science, Chinese Academy of Sciences
2.Anhui University of Technology
3.University of Science & Technology of China, CAS
4.Anhui University
推荐引用方式
GB/T 7714
Hu, ShanShan,Zhang, Chenglin,Chen, Peng,et al. Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks[J]. BMC BIOINFORMATICS,2019,20.
APA Hu, ShanShan,Zhang, Chenglin,Chen, Peng,Gu, Pengying,Zhang, Jun,&Wang, Bing.(2019).Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.BMC BIOINFORMATICS,20.
MLA Hu, ShanShan,et al."Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks".BMC BIOINFORMATICS 20(2019).
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