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
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.
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