Cheminformatics Data Mining and Modeling for Drug Repurposing

Author:

Avram S.1,Curpan R.1,Oprea T. I.2

Affiliation:

1. Department of Computational Chemistry, “Coriolan Dragulescu” Institute of Chemistry 24 Mihai Viteazu Blvd Timişoara Timiş 300223 România

2. Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine Albuquerque New Mexico 87131 USA toprea@salud.unm.edu

Abstract

Market-availability and protection rights of the chemical structures of approved drugs are essential for drug repurposing (DRP). We examine the DRP chemical and disease space for three distinct drug categories: off-patent (OFP; on-market drugs with expired patent and/or exclusivity), on-patent (ONP; on-market drugs with ongoing patent and/or exclusivity) and off-market (OFM; discontinued drugs), as defined by FDA-approved drugs. To streamline DRP strategies and to better understand the chemical space available for DRP, we illustrate repurposing opportunities using drug-molecule similarity in a manner that validates drug classes (i.e., drugs with similar structures addressing similar diseases) and offers unexpected groups of drugs (i.e., drugs with similar structures but different medical uses).

Publisher

The Royal Society of Chemistry

Reference55 articles.

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