Uncovering novel repositioning opportunities using the Open Targets platform. Issue 12 (December 2017)

• Record Type: Journal Article
• Authors: Khaladkar, Mugdha; Koscielny, Gautier; Hasan, Samiul; Agarwal, Pankaj; Dunham, Ian; Rajpal, Deepak; Sanseau, Philippe
• Is Part Of: Drug discovery today. Volume 22:Issue 12(2017)
• Page Start: 1800
• Page End: 1807
• Publication Date: 2017-12
• Subjects: Drugs -- Design -- Periodicals; Drugs -- Research -- Periodicals; 615.1
• DOI: 10.1016/j.drudis.2017.09.007
• Languages: English
• ISSNs: 1359-6446

Abstract

Highlights: A new application for the Open Targets platform. A systematic computational pipeline to identify drug repositioning opportunities. A categorization using the different sources of evidence. Abstract : The recently developed Open Targets platform consolidates a wide range of comprehensive evidence associating known and potential drug targets with human diseases. We have harnessed the integrated data from this platform for novel drug repositioning opportunities. Our computational workflow systematically mines data from various evidence categories and presents potential repositioning opportunities for drugs that are marketed or being investigated in ongoing human clinical trials, based on evidence strength on target–disease pairing. We classified these novel target–disease opportunities in several ways: (i) number of independent counts of evidence; (ii) broad therapy area of origin; and (iii) repositioning within or across therapy areas. Finally, we elaborate on one example that was identified by this approach.