Abstract
Aims & Scope: Computational drug repositioning emerges as a new idea of drug discovery and development. Contrary to conventional routines, computational drug repositioning encompasses low risk and high safety. Some successful cases demonstrated its advantage. Therefore, a large number of computational drug repositioning approaches have been developed over the past decades. We summarized briefly these methods and classified them into target-based, geneexpression- based, phenome-based and multi-omics-based categories according to strategies of drug repositioning.
Conclusion: We reviewed some representatives of computational drug repositioning methods in each category, with emphasis on detail of techniques and finally discussed developing trends of computational drug repositioning.
Keywords: Drug repositioning, heterogeneous network, machine learning, gene expression profile, phenotype, drug target.
Combinatorial Chemistry & High Throughput Screening
Title:A Review of Computational Drug Repositioning Approaches
Volume: 20 Issue: 10
Author(s): Guohua Huang*, Jincheng Li, Peng Wang and Weibiao Li
Affiliation:
- Provincial Key Laboratory of Informational Service for Rural Area of Southwestern Hunan, Shaoyang University, Shaoyang, Hunan 422000,China
Keywords: Drug repositioning, heterogeneous network, machine learning, gene expression profile, phenotype, drug target.
Abstract: Aims & Scope: Computational drug repositioning emerges as a new idea of drug discovery and development. Contrary to conventional routines, computational drug repositioning encompasses low risk and high safety. Some successful cases demonstrated its advantage. Therefore, a large number of computational drug repositioning approaches have been developed over the past decades. We summarized briefly these methods and classified them into target-based, geneexpression- based, phenome-based and multi-omics-based categories according to strategies of drug repositioning.
Conclusion: We reviewed some representatives of computational drug repositioning methods in each category, with emphasis on detail of techniques and finally discussed developing trends of computational drug repositioning.
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Cite this article as:
Huang Guohua*, Li Jincheng, Wang Peng and Li Weibiao , A Review of Computational Drug Repositioning Approaches, Combinatorial Chemistry & High Throughput Screening 2017; 20 (10) . https://dx.doi.org/10.2174/1386207321666171221112835
DOI https://dx.doi.org/10.2174/1386207321666171221112835 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
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