Drug Repurposing Using Biological Networks
Open Access
- 17 June 2021
- Vol. 9 (6), 1057
- https://doi.org/10.3390/pr9061057
Abstract
Drug repositioning is a strategy to identify new uses for existing, approved, or research drugs that are outside the scope of its original medical indication. Drug repurposing is based on the fact that one drug can act on multiple targets or that two diseases can have molecular similarities, among others. Currently, thanks to the rapid advancement of high-performance technologies, a massive amount of biological and biomedical data is being generated. This allows the use of computational methods and models based on biological networks to develop new possibilities for drug repurposing. Therefore, here, we provide an in-depth review of the main applications of drug repositioning that have been carried out using biological network models. The goal of this review is to show the usefulness of these computational methods to predict associations and to find candidate drugs for repositioning in new indications of certain diseases.This publication has 55 references indexed in Scilit:
- Biomedical data and computational models for drug repositioning: a comprehensive reviewBriefings in Bioinformatics, 2020
- The drug repurposing landscape from 2012 to 2017: evolution, challenges, and possible solutionsDrug Discovery Today, 2018
- Drug repurposing: progress, challenges and recommendationsNature Reviews Drug Discovery, 2018
- Review of Drug Repositioning Approaches and ResourcesInternational Journal of Biological Sciences, 2018
- Mining integrated semantic networks for drug repositioning opportunitiesPeerJ, 2016
- Drug Repositioning for Diabetes Based on 'Omics' Data MiningPLOS ONE, 2015
- Drug Repositioning Approaches for the Discovery of New Therapeutics for Alzheimer's DiseaseNeurotherapeutics, 2015
- Drug Repurposing and RepositioningPublished by The National Academies Press ,2014
- Systematic Drug Repositioning Based on Clinical Side-EffectsPLOS ONE, 2011
- DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical–protein interactomeNucleic Acids Research, 2011