Evidence map›Paper›PMID 41854287›Full record

ArticleProtein science : a publication of the Protein Society2026

MolViewStories: Interactive molecular storytelling.

Terézia Slanináková, Zachary Charlop-Powers, Viktoriia Doshchenko, Alexander S Rose, Adam Midlik, Anna Sekuła, Neli Fonseca, Kyle L Morris, Stephen K Burley, Sameer Velankar and 4 more

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Mol* web molecular graphics engine.Protein science : a publication of the Protein Society · 2026
    Article
  2. MolViewStories: Interactive molecular storytelling.Protein science : a publication of the Protein Society · 2026
    Article
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

14 authors.

Terézia SlaninákováNational Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czechia.ORCID https://orcid.org/0000-0003-0502-1145
Zachary Charlop-PowersIndependent.ORCID https://orcid.org/0000-0001-8816-4680
Viktoriia DoshchenkoNational Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czechia.ORCID https://orcid.org/0009-0006-5490-2634
Adam MidlikProtein Data Bank in Europe, European Molecular Biology Laboratory's European Bioinformatics Institute, Cambridgeshire, UK.ORCID https://orcid.org/0000-0003-0455-2235
Anna SekułaNational Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czechia.ORCID https://orcid.org/0000-0003-3524-3160
Neli FonsecaElectron Microscopy Data Bank, European Molecular Biology Laboratory's European Bioinformatics Institute, Cambridgeshire, UK.ORCID https://orcid.org/0000-0001-6466-8083
Kyle L MorrisElectron Microscopy Data Bank, European Molecular Biology Laboratory's European Bioinformatics Institute, Cambridgeshire, UK.ORCID https://orcid.org/0000-0002-1717-8134
Stephen K BurleyResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID https://orcid.org/0000-0002-2487-9713
Sameer VelankarProtein Data Bank in Europe, European Molecular Biology Laboratory's European Bioinformatics Institute, Cambridgeshire, UK.ORCID https://orcid.org/0000-0002-8439-5964
Jennifer FlemingProtein Data Bank in Europe, European Molecular Biology Laboratory's European Bioinformatics Institute, Cambridgeshire, UK.ORCID https://orcid.org/0000-0003-4016-8740
Brinda VallatResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID https://orcid.org/0000-0002-4076-8984
Ludovic AutinDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA.ORCID https://orcid.org/0000-0002-2197-191X
David SehnalNational Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czechia.ORCID https://orcid.org/0000-0002-0682-3089

Funding

Structural Biology CoreU54AI170855 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI Bruce Edward Torbett · 2022 to 2026
$36.7M
PDB Management by the Research Collaboratory for Structural BioinformaticsR01GM157729 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI STEPHEN K BURLEY · 2024 to 2026
$11.6M
Modeling and Interacting with the Visible Molecular CellR01GM120604 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI AUTIN, LUDOVIC · 2016 to 2025
$4.2M
Biotechnology and Biological Sciences Research Council BB/W017970/1Biotechnology and Biological Sciences Research Council DBI-2129634European Bioinformatics InstituteGrantová Agentura České Republiky 22-30571MMinisterstvo Školství, Mládeže a Tělovýchovy 90254National Science Foundation DBI-2321666NIAID NIH HHS U54 AI170855NIGMS NIH HHS R01 GM120604NIH HHS 5U54AI170855NIH HHS GM120604NIH HHS R01GM157729U.S. Department of Energy DE-SC0019749Wellcome Trust 310300/Z/24/Z
6 · The paper itself

Abstract

Effectively communicating knowledge related to molecular structures and their associated data remains a challenge, as traditional static figures limit interactivity and professional visualization tools often require substantial expertise. MolViewStories addresses these limitations by providing an open-source, web-based platform for creating and sharing interactive, narrative-driven molecular visualizations. The platform uses the MolViewSpec standard for reproducible scene specification, extended to support animations, interactive descriptions, and synchronized audio commentary. Visualization is powered by the Mol* Viewer, which leverages Web Graphics Library (WebGL) for efficient 3D rendering and WebXR for immersive virtual and augmented reality experiences. Users can construct molecular narratives through an intuitive graphical interface or a command-line workflow, enabling both exploratory and automated use. Completed stories can be shared online, exported locally, or distributed as self-contained packages that remain functional indefinitely. Each story is assigned a persistent uniform resource locator (URL) and can be modified or reused as a template, promoting collaboration and community-driven content creation. We demonstrate the capabilities of MolViewStories through a diverse set of narratives illustrating its broad applicability to research communication, education, and public outreach. Together, these examples highlight how interactive, web-based storytelling can make molecular data more accessible, reproducible, and engaging. MolViewStories is freely available at https://molstar.org/mol-view-stories with open-source code accessible at https://github.com/molstar/mol-view-stories.

Indexed as

Computer GraphicsSoftwareUser-Computer InterfaceInternetinteractive molecular visualizationmolecular storytellingMol* ViewerMolViewSpecopen‐source softwarePDBreproducible visualizationstructural biologyweb‐based tools

Identifiers

PMID41854287
PMCPMC13140743

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.