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A Review of Computational Drug Repositioning Approaches

[ Vol. 20 , Issue. 10 ]

Author(s):

Guohua Huang*, Jincheng Li, Peng Wang and Weibiao Li   Pages 831 - 838 ( 8 )

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.

Affiliation:

Provincial Key Laboratory of Informational Service for Rural Area of Southwestern Hunan, Shaoyang University, Shaoyang, Hunan 422000, Provincial Key Laboratory of Informational Service for Rural Area of Southwestern Hunan, Shaoyang University, Shaoyang, Hunan 422000, College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410081, College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410081



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