A Review of Computational Drug Repositioning Approaches

作者：Huang, Guohua^*; Li, Jincheng; Wang, Peng; Li, Weibiao

来源：Combinatorial Chemistry & High Throughput Screening, 2017, 20(10): 831-838.

DOI：10.2174/1386207321666171221112835

• Drug repositioning
• heterogeneous network
• machine learning
• gene expression profile
• phenotype
• drug target

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, gene-expression-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.

• 出版日期2017
• 单位邵阳学院; 湖南大学