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Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands

BACKGROUND: The Open Targets Platform integrates different data sources in order to facilitate identification of potential therapeutic drug targets to treat human diseases. It currently provides evidence for nearly 2.6 million potential target-disease pairs. G-protein coupled receptors are a drug ta...

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Autores principales: Freudenberg, Johannes M, Dunham, Ian, Sanseau, Philippe, Rajpal, Deepak K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167889/
https://www.ncbi.nlm.nih.gov/pubmed/30285606
http://dx.doi.org/10.1186/s12859-018-2392-y
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author Freudenberg, Johannes M
Dunham, Ian
Sanseau, Philippe
Rajpal, Deepak K
author_facet Freudenberg, Johannes M
Dunham, Ian
Sanseau, Philippe
Rajpal, Deepak K
author_sort Freudenberg, Johannes M
collection PubMed
description BACKGROUND: The Open Targets Platform integrates different data sources in order to facilitate identification of potential therapeutic drug targets to treat human diseases. It currently provides evidence for nearly 2.6 million potential target-disease pairs. G-protein coupled receptors are a drug target class of high interest because of the number of successful drugs being developed against them over many years. Here we describe a systematic approach utilizing the Open Targets Platform data to uncover and prioritize potential new disease indications for the G-protein coupled receptors and their ligands. RESULTS: Utilizing the data available in the Open Targets platform, potential G-protein coupled receptor and endogenous ligand disease association pairs were systematically identified. Intriguing examples such as GPR35 for inflammatory bowel disease and CXCR4 for viral infection are used as illustrations of how a systematic approach can aid in the prioritization of interesting drug discovery hypotheses. Combining evidences for G-protein coupled receptors and their corresponding endogenous peptidergic ligands increases confidence and provides supportive evidence for potential new target-disease hypotheses. Comparing such hypotheses to the global pharma drug discovery pipeline to validate the approach showed that more than 93% of G-protein coupled receptor-disease pairs with a high overall Open Targets score involved receptors with an existing drug discovery program. CONCLUSIONS: The Open Targets gene-disease score can be used to prioritize potential G-protein coupled receptors-indication hypotheses. In addition, availability of multiple different evidence types markedly increases confidence as does combining evidence from known receptor-ligand pairs. Comparing the top-ranked hypotheses to the current global pharma pipeline serves validation of our approach and identifies and prioritizes new therapeutic opportunities. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2392-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-61678892018-10-09 Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands Freudenberg, Johannes M Dunham, Ian Sanseau, Philippe Rajpal, Deepak K BMC Bioinformatics Research Article BACKGROUND: The Open Targets Platform integrates different data sources in order to facilitate identification of potential therapeutic drug targets to treat human diseases. It currently provides evidence for nearly 2.6 million potential target-disease pairs. G-protein coupled receptors are a drug target class of high interest because of the number of successful drugs being developed against them over many years. Here we describe a systematic approach utilizing the Open Targets Platform data to uncover and prioritize potential new disease indications for the G-protein coupled receptors and their ligands. RESULTS: Utilizing the data available in the Open Targets platform, potential G-protein coupled receptor and endogenous ligand disease association pairs were systematically identified. Intriguing examples such as GPR35 for inflammatory bowel disease and CXCR4 for viral infection are used as illustrations of how a systematic approach can aid in the prioritization of interesting drug discovery hypotheses. Combining evidences for G-protein coupled receptors and their corresponding endogenous peptidergic ligands increases confidence and provides supportive evidence for potential new target-disease hypotheses. Comparing such hypotheses to the global pharma drug discovery pipeline to validate the approach showed that more than 93% of G-protein coupled receptor-disease pairs with a high overall Open Targets score involved receptors with an existing drug discovery program. CONCLUSIONS: The Open Targets gene-disease score can be used to prioritize potential G-protein coupled receptors-indication hypotheses. In addition, availability of multiple different evidence types markedly increases confidence as does combining evidence from known receptor-ligand pairs. Comparing the top-ranked hypotheses to the current global pharma pipeline serves validation of our approach and identifies and prioritizes new therapeutic opportunities. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2392-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-10-01 /pmc/articles/PMC6167889/ /pubmed/30285606 http://dx.doi.org/10.1186/s12859-018-2392-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Freudenberg, Johannes M
Dunham, Ian
Sanseau, Philippe
Rajpal, Deepak K
Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands
title Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands
title_full Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands
title_fullStr Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands
title_full_unstemmed Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands
title_short Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands
title_sort uncovering new disease indications for g-protein coupled receptors and their endogenous ligands
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167889/
https://www.ncbi.nlm.nih.gov/pubmed/30285606
http://dx.doi.org/10.1186/s12859-018-2392-y
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