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Mathews DH, Casadio R, Sternberg MJE. Computational Resources for Molecular Biology 2025. J Mol Biol 2025:169222. [PMID: 40381984 DOI: 10.1016/j.jmb.2025.169222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2025]
Affiliation(s)
- David H Mathews
- Department of Biochemistry & Biophysics and Center for RNA Biology, University of Rochester Medical Center, Rochester, NY 14642, USA.
| | - Rita Casadio
- Biocomputing Group, University of Bologna, Italy; CNR-IBIOM, Institute of Biomembranes, Bioenergetics, and Molecular Biology, Bari, Italy.
| | - Michael J E Sternberg
- Centre for Integrative Systems Biology and Bioinformatics, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK.
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Midlik A, Bittrich S, Fleming JR, Nair S, Velankar S, Burley SK, Young JY, Vallat B, Sehnal D. MolViewSpec: a Mol* extension for describing and sharing molecular visualizations. Nucleic Acids Res 2025:gkaf370. [PMID: 40326523 DOI: 10.1093/nar/gkaf370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2025] [Revised: 04/15/2025] [Accepted: 04/25/2025] [Indexed: 05/07/2025] Open
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.
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Affiliation(s)
- Adam Midlik
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Sebastian Bittrich
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, CA 92093, United States
| | - Jennifer R Fleming
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Sreenath Nair
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Sameer Velankar
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Stephen K Burley
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, CA 92093, United States
- Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States
- Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, United States
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States
- Rutgers Artificial Intelligence and Data Science Collaboratory, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States
| | - Jasmine Y Young
- Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States
| | - Brinda Vallat
- Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States
- Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, United States
| | - David Sehnal
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
- National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno 625 00, Czech Republic
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