In silico methods to address polypharmacology: current status, applications and future perspectives
- PMID: 26743596
- DOI: 10.1016/j.drudis.2015.12.007
In silico methods to address polypharmacology: current status, applications and future perspectives
Abstract
Polypharmacology, a new paradigm in drug discovery that focuses on multi-target drugs (MTDs), has potential application for drug repurposing, the process of finding new uses for existing approved drugs, prediction of off-target toxicities and rational design of MTDs. In this scenario, computational strategies have demonstrated great potential in predicting polypharmacology and in facilitating drug repurposing. Here, we provide a comprehensive overview of various computational approaches that enable the prediction and analysis of in vitro and in vivo drug-response phenotypes and outline their potential for drug discovery. We give an outlook on the latest advances in rational design of MTDs and discuss possible future directions of algorithm development in this field.
Copyright © 2015 Elsevier Ltd. All rights reserved.
Similar articles
-
Quantitative and systems pharmacology 2. In silico polypharmacology of G protein-coupled receptor ligands via network-based approaches.Pharmacol Res. 2018 Mar;129:400-413. doi: 10.1016/j.phrs.2017.11.005. Epub 2017 Nov 10. Pharmacol Res. 2018. PMID: 29133212
-
Drugs Polypharmacology by In Silico Methods: New Opportunities in Drug Discovery.Curr Pharm Des. 2016;22(21):3073-81. doi: 10.2174/1381612822666160224142323. Curr Pharm Des. 2016. PMID: 26907944 Review.
-
Polypharmacology: in silico methods of ligand design and development.Future Med Chem. 2016 Apr;8(5):579-602. doi: 10.4155/fmc-2015-0006. Epub 2016 Apr 13. Future Med Chem. 2016. PMID: 27105127 Review.
-
Computational polypharmacology: a new paradigm for drug discovery.Expert Opin Drug Discov. 2017 Mar;12(3):279-291. doi: 10.1080/17460441.2017.1280024. Epub 2017 Jan 23. Expert Opin Drug Discov. 2017. PMID: 28067061 Free PMC article. Review.
-
Novel computational approaches to polypharmacology as a means to define responses to individual drugs.Annu Rev Pharmacol Toxicol. 2012;52:361-79. doi: 10.1146/annurev-pharmtox-010611-134630. Epub 2011 Oct 17. Annu Rev Pharmacol Toxicol. 2012. PMID: 22017683 Review.
Cited by
-
How Reliable Are Ligand-Centric Methods for Target Fishing?Front Chem. 2016 Apr 14;4:15. doi: 10.3389/fchem.2016.00015. eCollection 2016. Front Chem. 2016. PMID: 27148522 Free PMC article.
-
Editorial: Drug Repositioning: Current Advances and Future Perspectives.Front Pharmacol. 2018 Sep 20;9:1068. doi: 10.3389/fphar.2018.01068. eCollection 2018. Front Pharmacol. 2018. PMID: 30294274 Free PMC article. No abstract available.
-
Integrated Whole-Transcriptome Profiling and Bioinformatics Analysis of the Polypharmacological Effects of Ganoderic Acid Me in Colorectal Cancer Treatment.Front Oncol. 2022 Apr 27;12:833375. doi: 10.3389/fonc.2022.833375. eCollection 2022. Front Oncol. 2022. PMID: 35574354 Free PMC article.
-
Deep learning improves prediction of drug-drug and drug-food interactions.Proc Natl Acad Sci U S A. 2018 May 1;115(18):E4304-E4311. doi: 10.1073/pnas.1803294115. Epub 2018 Apr 16. Proc Natl Acad Sci U S A. 2018. PMID: 29666228 Free PMC article.
-
Novel Computational Approach to Predict Off-Target Interactions for Small Molecules.Front Big Data. 2019 Jul 17;2:25. doi: 10.3389/fdata.2019.00025. eCollection 2019. Front Big Data. 2019. PMID: 33693348 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources