Abstract
Drug Repurposing is finding new use of an already existing drug. It offers affordable, cheap and faster treatment. Strategies such as in- silico models, data mining, artificial intelligence etc. help accelerate it. However there are few barriers which need to overcome like legal and economic barriers. Collaboration between various sectors, awareness and encouragement can promote in flourishing of drug repurposing which holds a great future in the modern medicine sector.
Keywords: Drug Repurposing, Artificial Intelligence, Rare Diseases, Orphan drugs, Corporate Social Responsibility.
References
- Javier Setoain, Mónica Franch et al., NFFinder: an online bioinformatics tool for searching similar transcriptomics experiments in the context of drug repositioning, Nucleic Acids Res. 2015 Jul 1, 43 (Web Server issue): W193-W199
- Sarah H. Beachy, Samuel G. Johnson, Steve Olson, and Adam C. Berger, Rapporteurs; Drug Repurposing and Repositioning: Workshop Summary; Roundtable on Translating Genomic-Based Research for Health; Board on Health Sciences Policy; Institute of Medicine National Academy of Sciences, 2014
- Chong CR, Sullivan DJ Jr., New uses for old drugs; Nature,2007 Aug 9,448(7154):645-6
- Cynthia A. Challener., Can Artificial Intelligence Take the Next Step for Drug Repositioning? PharmTech.com. Sept 02, 2018, Volume 42, Issue 9, page 22-26
- Zhichao Liu, Hong Fang et al., In silico drug repositioning – what we need to know, Volume 18, Issues 3-4, February 2013, Pages 110-115
- Scotti L, Mendonca Junior FJ et al., Docking Studies for Multi-Target Drugs, Current Drug Target. 2017;18(5):592-604
- Repurposing Drugs 101, https://repurposingdrugs101.com
Corresponding Author
Gargi Dey
Department of Pharmacology Kempegowda Institute of Medical Sciences Bangalore, India
Email: gargidey16@gmailcom
DOI: https://dx.doi.org/10.18535/jmscr/v7i2.12
