Evidence map›Paper›PMID 41820803›Full record

ArticleProtein science : a publication of the Protein Society2026

Mol* web molecular graphics engine.

Alexander S Rose, Gianluca Tomasello, Áron Samuel Kovács, Ludovic Autin, David Sehnal

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Alexander S RoseResearch Collaboratory for Structural Bioinformatics (RCSB), San Diego Supercomputer Center, University of California San Diego, San Diego, California, USA.ORCID https://orcid.org/0000-0002-0893-5551
Gianluca Tomasello3D Protein Imaging, Caronno Varesino, Italy.
Áron Samuel KovácsTechnische Universität Wien, Vienna, Austria.ORCID https://orcid.org/0000-0002-0849-9032
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, Czech Republic.ORCID https://orcid.org/0000-0002-0682-3089

Funding

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
Grantová Agentura České Republiky 22-30571MNational Science Foundation DBI-2321666NIGMS NIH HHS R01 GM120604NIGMS NIH HHS R01 GM157729NIH HHS 5U54AI170855NIH HHS GM120604NIH HHS R01GM157729U.S. Department of Energy DE-SC0019749
6 · The paper itself

Abstract

Web-based molecular graphics have transformed the interactive visualization of molecular data, leveraging modern web technologies that provide GPU acceleration, optimized JavaScript engines, and seamless access across devices without additional software installation. We present the graphics engine at the core of the Mol* toolkit, a high-performance, open-source framework that is widely adopted in academia and industry, including by the Protein Data Bank, UniProt, EMDB, and AlphaFold DB. The engine combines a comprehensive styling system with a suite of optimized rendering primitives, including real-time surface generation, to deliver both flexibility and visual fidelity. Efficient handling of large-scale molecular scenes is achieved through level-of-detail management, GPU instancing, spatial acceleration structures, and frustum/occlusion culling. A screen-space global illumination model provides scalable, high-quality lighting, while integrated AR/VR support enables immersive molecular exploration. Together, these capabilities enable engaging, real-time, high-fidelity visualization of molecular systems, across a wide range of scales, from single atoms to billion-atom mesoscale assemblies, demonstrating the strengths of a bespoke web-native rendering engine for molecular graphics, available at https://molstar.org.

Indexed as

Computer GraphicsInternetProteinsSoftwareDatabases, ProteinModels, MolecularProteinsglobal illuminationGPU acceleratedimmersive AR/VRmesoscale molecular modelsweb molecular graphics

Identifiers

PMID41820803
PMCPMC13032908

What OpenQuestion holds

Textmetadata
LicenceTDM
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.