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Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity

In pharmacology, it is essential to identify the molecular mechanisms of drug action in order to understand adverse side effects. These adverse side effects have been used to infer whether two drugs share a target protein. However, side-effect similarity of drugs could also be caused by their target...

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Autores principales: Brouwers, Lucas, Iskar, Murat, Zeller, Georg, van Noort, Vera, Bork, Peer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3135612/
https://www.ncbi.nlm.nih.gov/pubmed/21765950
http://dx.doi.org/10.1371/journal.pone.0022187
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author Brouwers, Lucas
Iskar, Murat
Zeller, Georg
van Noort, Vera
Bork, Peer
author_facet Brouwers, Lucas
Iskar, Murat
Zeller, Georg
van Noort, Vera
Bork, Peer
author_sort Brouwers, Lucas
collection PubMed
description In pharmacology, it is essential to identify the molecular mechanisms of drug action in order to understand adverse side effects. These adverse side effects have been used to infer whether two drugs share a target protein. However, side-effect similarity of drugs could also be caused by their target proteins being close in a molecular network, which as such could cause similar downstream effects. In this study, we investigated the proportion of side-effect similarities that is due to targets that are close in the network compared to shared drug targets. We found that only a minor fraction of side-effect similarities (5.8 %) are caused by drugs targeting proteins close in the network, compared to side-effect similarities caused by overlapping drug targets (64%). Moreover, these targets that cause similar side effects are more often in a linear part of the network, having two or less interactions, than drug targets in general. Based on the examples, we gained novel insight into the molecular mechanisms of side effects associated with several drug targets. Looking forward, such analyses will be extremely useful in the process of drug development to better understand adverse side effects.
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spelling pubmed-31356122011-07-15 Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity Brouwers, Lucas Iskar, Murat Zeller, Georg van Noort, Vera Bork, Peer PLoS One Research Article In pharmacology, it is essential to identify the molecular mechanisms of drug action in order to understand adverse side effects. These adverse side effects have been used to infer whether two drugs share a target protein. However, side-effect similarity of drugs could also be caused by their target proteins being close in a molecular network, which as such could cause similar downstream effects. In this study, we investigated the proportion of side-effect similarities that is due to targets that are close in the network compared to shared drug targets. We found that only a minor fraction of side-effect similarities (5.8 %) are caused by drugs targeting proteins close in the network, compared to side-effect similarities caused by overlapping drug targets (64%). Moreover, these targets that cause similar side effects are more often in a linear part of the network, having two or less interactions, than drug targets in general. Based on the examples, we gained novel insight into the molecular mechanisms of side effects associated with several drug targets. Looking forward, such analyses will be extremely useful in the process of drug development to better understand adverse side effects. Public Library of Science 2011-07-13 /pmc/articles/PMC3135612/ /pubmed/21765950 http://dx.doi.org/10.1371/journal.pone.0022187 Text en Brouwers et al. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Brouwers, Lucas
Iskar, Murat
Zeller, Georg
van Noort, Vera
Bork, Peer
Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity
title Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity
title_full Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity
title_fullStr Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity
title_full_unstemmed Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity
title_short Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity
title_sort network neighbors of drug targets contribute to drug side-effect similarity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3135612/
https://www.ncbi.nlm.nih.gov/pubmed/21765950
http://dx.doi.org/10.1371/journal.pone.0022187
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