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Title: MolViewSpec: a Mol* extension for describing and sharing molecular visualizations
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.  more » « less
Award ID(s):
2321666
PAR ID:
10665973
Author(s) / Creator(s):
; ; ; ; ; ; ; ;
Publisher / Repository:
Oxford Academic
Date Published:
Journal Name:
Nucleic Acids Research
Volume:
53
Issue:
W1
ISSN:
0305-1048
Page Range / eLocation ID:
W408 to W414
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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