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A Review of Computational Drug Repositioning Approaches

Author(s):

Guohua Huang* and Jincheng Li   Pages 1 - 8 ( 8 )

Abstract:


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, gene-expression-based, phenome-based and multi-omics-based categories according to strategies of drug repositioning. 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:

College of Information Engineering, Shaoyang University, Shaoyang, Hunan 422000, College of Information Engineering, Shaoyang University, Shaoyang, Hunan 422000



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