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A Network Inference Method for Large-Scale Unsupervised Identification of Novel Drug-Drug Interactions

Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others. Here we present a network inference algorithm to predict uncharacterized drug-drug interactions. Our...

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Detalles Bibliográficos
Autores principales: Guimerà, Roger, Sales-Pardo, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3854677/
https://www.ncbi.nlm.nih.gov/pubmed/24339767
http://dx.doi.org/10.1371/journal.pcbi.1003374
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author Guimerà, Roger
Sales-Pardo, Marta
author_facet Guimerà, Roger
Sales-Pardo, Marta
author_sort Guimerà, Roger
collection PubMed
description Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others. Here we present a network inference algorithm to predict uncharacterized drug-drug interactions. Our algorithm takes, as its only input, sets of previously reported interactions, and does not require any pharmacological or biochemical information about the drugs, their targets or their mechanisms of action. Because the models we use are abstract, our approach can deal with adverse interactions, synergistic/antagonistic/suppressing interactions, or any other type of drug interaction. We show that our method is able to accurately predict interactions, both in exhaustive pairwise interaction data between small sets of drugs, and in large-scale databases. We also demonstrate that our algorithm can be used efficiently to discover interactions of new drugs as part of the drug discovery process.
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spelling pubmed-38546772013-12-11 A Network Inference Method for Large-Scale Unsupervised Identification of Novel Drug-Drug Interactions Guimerà, Roger Sales-Pardo, Marta PLoS Comput Biol Research Article Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others. Here we present a network inference algorithm to predict uncharacterized drug-drug interactions. Our algorithm takes, as its only input, sets of previously reported interactions, and does not require any pharmacological or biochemical information about the drugs, their targets or their mechanisms of action. Because the models we use are abstract, our approach can deal with adverse interactions, synergistic/antagonistic/suppressing interactions, or any other type of drug interaction. We show that our method is able to accurately predict interactions, both in exhaustive pairwise interaction data between small sets of drugs, and in large-scale databases. We also demonstrate that our algorithm can be used efficiently to discover interactions of new drugs as part of the drug discovery process. Public Library of Science 2013-12-05 /pmc/articles/PMC3854677/ /pubmed/24339767 http://dx.doi.org/10.1371/journal.pcbi.1003374 Text en © 2013 Guimerà, Sales-Pardo http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Guimerà, Roger
Sales-Pardo, Marta
A Network Inference Method for Large-Scale Unsupervised Identification of Novel Drug-Drug Interactions
title A Network Inference Method for Large-Scale Unsupervised Identification of Novel Drug-Drug Interactions
title_full A Network Inference Method for Large-Scale Unsupervised Identification of Novel Drug-Drug Interactions
title_fullStr A Network Inference Method for Large-Scale Unsupervised Identification of Novel Drug-Drug Interactions
title_full_unstemmed A Network Inference Method for Large-Scale Unsupervised Identification of Novel Drug-Drug Interactions
title_short A Network Inference Method for Large-Scale Unsupervised Identification of Novel Drug-Drug Interactions
title_sort network inference method for large-scale unsupervised identification of novel drug-drug interactions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3854677/
https://www.ncbi.nlm.nih.gov/pubmed/24339767
http://dx.doi.org/10.1371/journal.pcbi.1003374
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