Evidence map›Paper›PMID 27137885›Full record

ArticleNucleic acids research2016

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

Francisco Salavert, Marta R Hidago, Alicia Amadoz, Cankut Çubuk, Ignacio Medina, Daniel Crespo, Jose Carbonell-Caballero, Joaquín Dopazo

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
  3. drexml: A command line tool and Python package for drug repurposing.Computational and structural biotechnology journal · 2024
    Article
  4. Article
  5. Functional Profiling of Soft Tissue Sarcoma Using Mechanistic Models.International journal of molecular sciences · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Francisco SalavertComputational 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.
Marta R HidagoComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
Alicia AmadozComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
Cankut ÇubukComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
Ignacio MedinaHPC Service, University Information Services, University of Cambridge, Cambridge, CB3 0RB, UK.
Daniel CrespoComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
Jose Carbonell-CaballeroComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
Joaquín DopazoComputational 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.ORCID 0000-0003-3318-120X
Centro de Investigacion Principe Felipe · ESCentre for Biomedical Network Research on Rare Diseases · ESInstituto de Salud Carlos III · ESUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Models, StatisticalSoftwareAntineoplastic AgentsBreast NeoplasmsComputer GraphicsComputer SimulationDrug DiscoveryGene Expression Regulation, NeoplasticGene Knockout TechniquesHumansInformation Storage and RetrievalInternetMetabolic Networks and PathwaysMolecular Targeted TherapyNeovascularization, PathologicNiacinamideAntineoplastic AgentsNiacinamidePhenylurea CompoundsSorafenib

Identifiers

PMID27137885
PMCPMC4987920
OpenAlexW2346323658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.