Evidence map›Paper›PMID 40982529›Full record

ArticlePLoS computational biology2025

SBMLNetwork: A framework for standards-based visualization of biochemical models.

Adel Heydarabadipour, Lucian Smith, Joseph L Hellerstein, Herbert M Sauro

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Adel HeydarabadipourDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.ORCID 0009-0009-2865-6128
Lucian SmithDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Joseph L HellersteinDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Herbert M SauroDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-3659-6817

Funding

TR&D3: Standards and Tools for Simulator Composition and Credibility portalP41EB023912 · NIBIB · UNIVERSITY OF WASHINGTON · PI Ion I. Moraru, HERBERT M. SAURO · 2018 to 2026
$11.4M
Dissemination of libRoadRunner and CompuCell3DU24EB028887 · NIBIB · UNIVERSITY OF WASHINGTON · PI GLAZIER, JAMES ALEXANDER, SAURO, HERBERT M. · 2019 to 2023
$1.5M
NIBIB NIH HHS P41 EB023912NIBIB NIH HHS U24 EB028887
6 · The paper itself

Abstract

SBMLNetwork is an open-source software library that makes the SBML Layout and Render packages practical for standards-based visualization of biochemical models. Current tools often manage model visualization data in custom-designed, tool-specific formats and store it separately from the model itself, hindering interoperability, reproducibility, and the seamless integration of visualization with model data. SBMLNetwork addresses these limitations by building directly on the SBML Layout and Render specifications, automating the generation of standards-compliant visualization data, offering a modular implementation with broad integration support, and providing a robust API tailored to the needs of systems biology researchers. We illustrate the capabilities of SBMLNetwork across key visualization tasks, including SBGN-compliant visualization, application of predefined style templates, layout arrangement to reflect pathway logic, and integration of model data into network diagrams. These examples demonstrate how SBMLNetwork enables high-level visualization features and seamlessly translate user intent into reproducible outputs that support both structural representation and dynamic data visualization within the SBML model. SBMLNetwork is freely available at https://github.com/sys-bio/SBMLNetwork under the MIT license.

Indexed as

Models, BiologicalSoftwareSystems BiologyComputational Biology

Identifiers

PMID40982529
PMCPMC12463325

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.