Evidence map›Paper›PMID 41915679›Full record

ArticlePLoS computational biology2026

ARNy plotter: A comprehensive web server for RNA ensemble structural analysis and visualization.

Louis Meuret, Julien Rey, Samuela Pasquali

Abstract read
In one paragraph

Article in PLoS computational biology, 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

3 authors.

Louis MeuretUniversité Paris Cité, CNRS UMR 8251, Inserm ERL 1133, Unité de Biologie Fonctionnelle et Adaptative, Paris, France.
Julien ReyUniversité Paris Cité, CNRS UMR 8251, Inserm ERL 1133, Unité de Biologie Fonctionnelle et Adaptative, Paris, France.
Samuela PasqualiUniversité Paris Cité, CNRS UMR 8251, Inserm ERL 1133, Unité de Biologie Fonctionnelle et Adaptative, Paris, France.ORCID https://orcid.org/0000-0003-1487-0894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyzing RNA structural ensembles, whether derived from molecular dynamics, enhanced sampling techniques, or experimental data, poses significant challenges due to the intrinsic flexibility and diverse conformational landscapes of RNA. We present ARNy Plotter, a web-based platform designed for comprehensive analysis and visualization of RNA structural ensembles. ARNy Plotter integrates multiple state-of-the-art methods into a unified, user-friendly environment, enabling intuitive examination of RMSD and eRMSD distributions, torsion-angle variability, dynamic secondary-structure patterns, contact-frequency networks, and multidimensional conformational landscapes. By leveraging MDAnalysis, Barnaba, and foRNA, the platform supports all major trajectory and ensemble formats while offering real-time 3D visualization via MolStar. Unlike existing tools that focus primarily on static structures or provide limited dynamic analysis, ARNy Plotter allows in-depth exploration of conformational transitions and population distributions within RNA ensembles, and facilitates result sharing without distributing full datasets. This platform addresses the growing need for accessible, comprehensive, and interactive tools for RNA structural biology. ARNy Plotter is freely available at https://arny-plotter.rpbs.univ-paris-diderot.fr/, requires no installation or registration, and can also be run offline with a local webserver, including an API for automated figure generation.

Indexed as

Computational BiologyRNASoftwareInternetMolecular Dynamics SimulationNucleic Acid ConformationRNA

Identifiers

PMID41915679
PMCPMC13056254

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.