Data science

Drug repositioning

Risk analysis (engineering)

Engineering

Drug

Business

Bioinformatics

Biology

Politics

Political science

Operating system

Investment (military)

Computer science

Drug development

Process (computing)

Management science

Drug discovery

Pharmacology

Medicine

International Journal of Biological Sciences

Drug discovery is a time-consuming, high-investment, and high-risk process in traditional drug development.Drug repositioning has become a popular strategy in recent years.Different from traditional drug development strategies, the strategy is efficient, economical and riskless.There are usually three kinds of approaches: computational approaches, biological experimental approaches, and mixed approaches, all of which are widely used in drug repositioning.In this paper, we reviewed computational approaches and highlighted their characteristics to provide references for researchers to develop more powerful approaches.At the same time, the important findings obtained using these approaches are listed.Furthermore, we summarized 76 important resources about drug repositioning.Finally, challenges and opportunities in drug repositioning are discussed from multiple perspectives, including technology, commercial models, patents and investment.

Review of Drug Repositioning Approaches and Resources