A Review on Drug Repositioning

Abstract

Discovery of drug consume lots of time, needs huge capital to invest for long duration and ultimately it is a process with high risk in the traditional drug development method. To come up with all this disadvantageous factor, the Drug repositioning method was found and this strategy has gain popularity in recent years. Compare to traditional method this strategy is more effective, riskless and needs less capital than traditional method. Here the different approaches are discussed in detail with their characteristics, they are Systematic repositioning of drug, Cheminformatics method, Bioinformatics method, High-throughput literature analysis, Semantics-based approaches, Text mining-based approaches and approaches that are based on the network (‘approaches based on network propagation and Network-based cluster approaches’). Along with this the important findings obtained from this approaches is also mentioned. Furthermore, here 50 repositioned drugs are mentioned with original and new indication and along with mechanism of action of each drug. Finally, the challenges and future scope of drug repositioning is mentioned with different perspective and examples.