Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/9693
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dc.contributor.authorPatel, Maharshi K.-
dc.date.accessioned2021-02-01T07:59:26Z-
dc.date.available2021-02-01T07:59:26Z-
dc.date.issued2020-05-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/9693-
dc.descriptionGuided by Dr. Shital Panchalen_US
dc.description.abstractDiscovery 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.en_US
dc.publisherInstitute of Pharmacy, Nirma University, A'baden_US
dc.relation.ispartofseriesPPR00972;-
dc.subjectPPR00972en_US
dc.subjectB. Pharm Project Reporten_US
dc.subjectPharmacologyen_US
dc.subjectCheminformaticsen_US
dc.subjectBioinformaticsen_US
dc.subjectDrug repositioningen_US
dc.titleA Review on Drug Repositioningen_US
dc.typeProject Reporten_US
Appears in Collections:B. Pharm Project Reports

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