Evidence map›Paper›PMID 24321545›Full record

ArticleBMC systems biology2013

SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools.

Claudine Chaouiya, Duncan Bérenguier, Sarah M Keating, Aurélien Naldi, Martijn P van Iersel, Nicolas Rodriguez, Andreas Dräger, Finja Büchel, Thomas Cokelaer, Bryan Kowal and 14 more

Abstract read
In one paragraph

Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
–field-weighted citation impact
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

83 citing papers in PubMed.

  1. Article
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  8. Augusta: From RNA-Seq to gene regulatory networks and Boolean models.Computational and structural biotechnology journal · 2024
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23 more citing papers are in PubMed but not listed here.

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

24 authors.

Claudine ChaouiyaInstituto Gulbenkian de Ciência, Rua da Quinta Grande 6, 2780-156 Oeiras, Portugal. chaouiya@igc.gulbenkian.pt.
Duncan Bérenguier
Sarah M Keating
Aurélien Naldi
Martijn P van Iersel
Nicolas Rodriguez
Andreas Dräger
Finja Büchel
Thomas Cokelaer
Bryan Kowal
Benjamin Wicks
Emanuel Gonçalves
Julien Dorier
Michel Page
Pedro T Monteiro
Axel von Kamp
Ioannis Xenarios
Hidde de Jong
Michael Hucka
Steffen Klamt
Denis Thieffry
Nicolas Le Novère
Julio Saez-Rodriguez
Tomáš Helikar

Funding

Continued Support of Essential SBML Software and Community ResourcesR01GM070923 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HUCKA, MICHAEL · 2004 to 2018
$8.0M
Transcriptional Regulation, the Nuclear Proteome, and HIV/Meth/cART: From ProfiliR01DA030962 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CIBOROWSKI, PAWEL S, FOX, HOWARD S · 2010 to 2014
$3.1M
NIDA NIH HHS 5R01DA030962NIGMS NIH HHS GM070923NIGMS NIH HHS R01 GM070923
6 · The paper itself

Abstract

backgroundQualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing.

resultsWe present the Systems Biology Markup Language (SBML) Qualitative Models Package ("qual"), an extension of the SBML Level 3 standard designed for computer representation of qualitative models of biological networks. We demonstrate the interoperability of models via SBML qual through the analysis of a specific signalling network by three independent software tools. Furthermore, the collective effort to define the SBML qual format paved the way for the development of LogicalModel, an open-source model library, which will facilitate the adoption of the format as well as the collaborative development of algorithms to analyse qualitative models.

conclusionsSBML qual allows the exchange of qualitative models among a number of complementary software tools. SBML qual has the potential to promote collaborative work on the development of novel computational approaches, as well as on the specification and the analysis of comprehensive qualitative models of regulatory and signalling networks.

Indexed as

Models, BiologicalProgramming LanguagesAnimalsCellsEpidermal Growth FactorInternetSignal TransductionTumor Necrosis Factor-alphaEpidermal Growth FactorTumor Necrosis Factor-alpha

Identifiers

PMID24321545
PMCPMC3892043

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.