A Review of Computational Drug Repositioning Approaches

Author(s): Guohua Huang*, Jincheng Li, Peng Wang, Weibiao Li.

Journal Name: Combinatorial Chemistry & High Throughput Screening

Volume 20 , Issue 10 , 2017

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.

Rights & PermissionsPrintExport

Article Details

VOLUME: 20
ISSUE: 10
Year: 2017
Page: [831 - 838]
Pages: 8
DOI: 10.2174/1386207321666171221112835
Price: $58

Article Metrics

PDF: 2
HTML: 0
EPUB: 0
PRC: 0