MolViewSpec: a Mol* extension for describing and sharing molecular visualizations

Data visualization is a pivotal component of a structural biologist's arsenal. The Mol* Viewer makes molecular visualizations available to broader audiences via most web browsers. While Mol* provides a wide range of functionality, it has a steep learning curve and is only available via a JavaScript interface. To enhance the accessibility and usability of web-based molecular visualization, we introduce MolViewSpec (molstar.org/mol-view-spec), a standardized approach for defining molecular visualizations that decouples the definition of complex molecular scenes from their rendering. Scene definition can include references to commonly used structural, volumetric, and annotation data formats together with a description of how the data should be visualized and paired with optional annotations specifying colors, labels, measurements, and custom 3D geometries. Developed as an open standard, this solution paves the way for broader interoperability and support across different programming languages and molecular viewers, enabling more streamlined, standardized, and reproducible visual molecular analyses. MolViewSpec is freely available as a Mol* extension and a standalone Python package.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-05-06
DOI
https://doi.org/10.1093/nar/gkaf370
Citations
3
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
12.51

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article

MolViewSpec: a Mol* extension for describing and sharing molecular visualizations

Jasmine Y. Young, Sebastian Bittrich, Sreenath Sasidharan Nair, Brinda Vallat et al.
3 citations
Nucleic Acids Research
Scientific Computing and Data Management
12.51
article

MolViewSpec: a Mol* extension for describing and sharing molecular visualizations

Jasmine Y. Young, Sebastian Bittrich, Sreenath Sasidharan Nair, Brinda Vallat, Sameer S Velankar, Jennifer R. Fleming, David Sehnal, Adam Midlik, S.K. Burley
article en
3 citations

Abstract

Data visualization is a pivotal component of a structural biologist's arsenal. The Mol* Viewer makes molecular visualizations available to broader audiences via most web browsers. While Mol* provides a wide range of functionality, it has a steep learning curve and is only available via a JavaScript interface. To enhance the accessibility and usability of web-based molecular visualization, we introduce MolViewSpec (molstar.org/mol-view-spec), a standardized approach for defining molecular visualizations that decouples the definition of complex molecular scenes from their rendering. Scene definition can include references to commonly used structural, volumetric, and annotation data formats together with a description of how the data should be visualized and paired with optional annotations specifying colors, labels, measurements, and custom 3D geometries. Developed as an open standard, this solution paves the way for broader interoperability and support across different programming languages and molecular viewers, enabling more streamlined, standardized, and reproducible visual molecular analyses. MolViewSpec is freely available as a Mol* extension and a standalone Python package.

Nucleic Acids ResearchVol. 53(W1)
Rutgers, The State University of New Jersey (US), European Bioinformatics Institute (GB), San Diego Supercomputer Center (US), Masaryk University (CZ)
National Science Foundation, U.S. Department of Energy, European Bioinformatics Institute, Central European Institute of Technology, Masarykova Univerzita, National Institutes of Health, National Cancer Institute, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 2%
Scientific Computing and Data Management
12.51
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