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Nucleic Acids Res. 2016 Jul 8;44(W1):W212-6. doi: 10.1093/nar/gkw369. Epub 2016 May 2.

Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models.

Author information

1
Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain Bioinformatics in Rare Diseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, 46012, Spain.
2
Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
3
HPC Service, University Information Services, University of Cambridge, Cambridge, CB3 0RB, UK.
4
Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain Bioinformatics in Rare Diseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, 46012, Spain Functional Genomics Node, (INB, PRB2, ISCIII) at CIPF, Valencia 46012, Spain jdopazo@cipf.es.

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.

PMID:
27137885
PMCID:
PMC4987920
DOI:
10.1093/nar/gkw369
[Indexed for MEDLINE]
Free PMC Article

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