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Complexity
Volume 2017, Article ID 2713280, 10 pages
https://doi.org/10.1155/2017/2713280
Research Article

SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures

1School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China
2School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou 558000, China
3Department of Mechanical Engineering and Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada
4Department of Computer Science, Georgia State University, Atlanta, GA 30302, USA

Correspondence should be addressed to Jianxin Wang; nc.ude.usc.liam@gnawxj

Received 8 April 2017; Revised 19 October 2017; Accepted 1 November 2017; Published 3 December 2017

Academic Editor: Daniela Paolotti

Copyright © 2017 Cheng Yan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Cheng Yan, Jianxin Wang, Wei Lan, Fang-Xiang Wu, and Yi Pan, “SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures,” Complexity, vol. 2017, Article ID 2713280, 10 pages, 2017. https://doi.org/10.1155/2017/2713280.