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ARNy plotter: A comprehensive web server for RNA ensemble structural analysis and visualization
Louis Meuret1, Julien Rey1,2, Samuela Pasquali1
1Université Paris Cité, CNRS UMR 8251, Inserm ERL 1133, Unité de Biologie Fonctionnelle et Adaptative, Paris, France.
Plos Computational Biology
|March 31, 2026
Summary
ARny Plotter is a new web platform for analyzing RNA structural ensembles. It offers comprehensive visualization and analysis of RNA dynamics, aiding RNA structural biology research.
Area of Science:
- Structural Biology
- Computational Biology
- Bioinformatics
Background:
- RNA molecules exhibit significant flexibility and diverse conformational landscapes, posing challenges for structural analysis.
- Existing tools often focus on static structures or offer limited dynamic analysis capabilities.
Purpose of the Study:
- To present ARNy Plotter, a user-friendly web platform for comprehensive analysis and visualization of RNA structural ensembles.
- To provide an integrated environment for exploring RNA dynamics and conformational heterogeneity.
Main Methods:
- ARny Plotter integrates multiple analysis methods including RMSD/eRMSD distributions, torsion-angle variability, dynamic secondary structures, and contact networks.
- The platform leverages MDAnalysis, Barnaba, and foRNA for data processing and MolStar for real-time 3D visualization.
- Supports all major trajectory and ensemble formats, with options for offline use and an API for automated figure generation.
Main Results:
- Enables intuitive examination of various aspects of RNA structural ensembles, including conformational landscapes and population distributions.
- Facilitates in-depth exploration of conformational transitions and dynamic patterns within RNA structures.
- Allows for sharing of results without distributing large datasets.
Conclusions:
- ARny Plotter addresses the need for accessible, comprehensive, and interactive tools in RNA structural biology.
- The platform enhances the study of RNA dynamics and conformational ensembles.
- Freely available online and supports offline use, promoting wider adoption in the research community.
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