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Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models
The discovery of actionable targets is crucial for targeted therapies and is also a constituent part of the drug discovery process. The success of an intervention over a target depends critically on its contribution, within the complex network of gene interactions, to the cellular processes responsi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987920/ https://www.ncbi.nlm.nih.gov/pubmed/27137885 http://dx.doi.org/10.1093/nar/gkw369 |
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author | Salavert, Francisco Hidago, Marta R. Amadoz, Alicia Çubuk, Cankut Medina, Ignacio Crespo, Daniel Carbonell-Caballero, Jose Dopazo, Joaquín |
author_facet | Salavert, Francisco Hidago, Marta R. Amadoz, Alicia Çubuk, Cankut Medina, Ignacio Crespo, Daniel Carbonell-Caballero, Jose Dopazo, Joaquín |
author_sort | Salavert, Francisco |
collection | PubMed |
description | The discovery of actionable targets is crucial for targeted therapies and is also a constituent part of the drug discovery process. The success of an intervention over a target depends critically on its contribution, within the complex network of gene interactions, to the cellular processes responsible for disease progression or therapeutic response. Here we present PathAct, a web server that predicts the effect that interventions over genes (inhibitions or activations that simulate knock-outs, drug treatments or over-expressions) can have over signal transmission within signaling pathways and, ultimately, over the cell functionalities triggered by them. PathAct implements an advanced graphical interface that provides a unique interactive working environment in which the suitability of potentially actionable genes, that could eventually become drug targets for personalized or individualized therapies, can be easily tested. The PathAct tool can be found at: http://pathact.babelomics.org. |
format | Online Article Text |
id | pubmed-4987920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49879202016-08-22 Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models Salavert, Francisco Hidago, Marta R. Amadoz, Alicia Çubuk, Cankut Medina, Ignacio Crespo, Daniel Carbonell-Caballero, Jose Dopazo, Joaquín Nucleic Acids Res Web Server issue The discovery of actionable targets is crucial for targeted therapies and is also a constituent part of the drug discovery process. The success of an intervention over a target depends critically on its contribution, within the complex network of gene interactions, to the cellular processes responsible for disease progression or therapeutic response. Here we present PathAct, a web server that predicts the effect that interventions over genes (inhibitions or activations that simulate knock-outs, drug treatments or over-expressions) can have over signal transmission within signaling pathways and, ultimately, over the cell functionalities triggered by them. PathAct implements an advanced graphical interface that provides a unique interactive working environment in which the suitability of potentially actionable genes, that could eventually become drug targets for personalized or individualized therapies, can be easily tested. The PathAct tool can be found at: http://pathact.babelomics.org. Oxford University Press 2016-07-08 2016-05-02 /pmc/articles/PMC4987920/ /pubmed/27137885 http://dx.doi.org/10.1093/nar/gkw369 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server issue Salavert, Francisco Hidago, Marta R. Amadoz, Alicia Çubuk, Cankut Medina, Ignacio Crespo, Daniel Carbonell-Caballero, Jose Dopazo, Joaquín Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models |
title | Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models |
title_full | Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models |
title_fullStr | Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models |
title_full_unstemmed | Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models |
title_short | Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models |
title_sort | actionable pathways: interactive discovery of therapeutic targets using signaling pathway models |
topic | Web Server issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987920/ https://www.ncbi.nlm.nih.gov/pubmed/27137885 http://dx.doi.org/10.1093/nar/gkw369 |
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