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Harnessing Drug Repurposing for Exploration of New Diseases: An Insight to Strategies and Case Studies

Author(s):

Priti Jain*, Shreyans K Jain and Munendra Jain   Pages 1 - 22 ( 22 )

Abstract:


Background: Traditional drug discovery is time consuming, costly, and risky process. Owing to the large investment, excessive attrition, and declined output; drug repurposing has become a blooming approach for the identification and development of new therapeutics. The method has gained momentum in the past few years and has resulted in many excellent discoveries. Industries are resurrecting the failed and shelved drugs to save time and cost. The process accounts for approximately 30% of the new US Food and Drug Administration approved drugs and vaccines in recent years.

Methods: A systematic literature search using appropriate keywords were made to identify articles discussing the different strategies being adopted for repurposing and various drugs that have been/are being repurposed.

Results: This review aims to describe the comprehensive data about the various strategies (Blinded search, computational approaches, and experimental approaches) used for the repurposing along with success case studies (treatment for orphan diseases, neglected tropical disease, neurodegenerative diseases, and drugs for pediatric population). It also inculcates an elaborated list of more than 100 drugs that have been repositioned, approaches adopted, and their present clinical status. We have also attempted to incorporate the different databases used for computational repurposing.

Conclusion: The data presented is proof that drug repurposing is a prolific approach circumventing the issues poised by conventional drug discovery approaches. It is a highly promising approach and when combined with sophisticated computational tools it also carries high precision. The review would help researches in prioritizing the drug-repositioning method much needed to flourish the drug discovery research.

Keywords:

Repurposing, approaches, rare diseases, cancer, neurodegenerative diseases, neglected tropical diseases, case studies, computational tools, and databases.

Affiliation:

Department of Pharmaceutical Chemistry and Computational Chemistry, R C Patel Institute of Pharmaceutical Education and Research, Shirpur, Dhule (425405) Maharashtra, Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, Uttar Pradesh, SVKM’s Department of Sciences, Narsee Monjee Institute of Management Studies, Indore, Madhya Pradesh



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