dc.contributor.author | Salavert, F | |
dc.contributor.author | Hidago, MR | |
dc.contributor.author | Amadoz, A | |
dc.contributor.author | Cubuk, C | |
dc.contributor.author | Medina, I | |
dc.contributor.author | Crespo, D | |
dc.contributor.author | Carbonell-Caballero, J | |
dc.contributor.author | Dopazo, J | |
dc.date.accessioned | 2019-03-28T13:31:27Z | |
dc.date.available | 2016-04-22 | |
dc.date.available | 2019-03-28T13:31:27Z | |
dc.date.issued | 2016-05-02 | |
dc.identifier.citation | Amadoz, A., et al. (2016). "Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models." Nucleic Acids Research 44(W1): W212-W216. | en_US |
dc.identifier.issn | 0305-1048 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/56565 | |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | Spanish Ministry of Economy and Competitiveness [BIO2014-57291-R]; ‘Plataforma de Recursos Biomoleculares y Bioinformáticos’ PT 13/0001/0030 from the ISCIII; co-funded with European Regional Development Funds (ERDF); Generalitat Valenciana (GVA-FEDER) [PROMETEOII/2014/025]; Fundació la Marató TV3 [20133134]; EU FP7-People ITN Marie Curie Project [ref 316861]; EU H2020-INFRADEV-1-2015-1 ELIXIR-EXCELERATE [ref 676559]. Funding for open access charge: Spanish Ministry of Economy and Competitiveness [BIO2014-57291-R]; | en_US |
dc.format.extent | W212 - W216 | |
dc.language.iso | en | en_US |
dc.publisher | Oxford University Press | en_US |
dc.relation.ispartof | NUCLEIC ACIDS RESEARCH | |
dc.rights | Creative Commons Attribution License | |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | targeted therapies | en_US |
dc.subject | Diagnostic strategies | en_US |
dc.subject | signaling pathways | en_US |
dc.title | Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models | en_US |
dc.type | Article | en_US |
dc.rights.holder | The Author(s) 2016 | |
dc.identifier.doi | 10.1093/nar/gkw369 | |
pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000379786800035&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.issue | W1 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 44 | en_US |
dcterms.dateAccepted | 2016-04-22 | |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |