Author

Louis Meuret

Centre National de la Recherche Scientifique

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Samuela PasqualiiD· 3 shared Diego Barquero-MoreraiD· 2 shared Alexandar Kocev· 1 shared Amshuman Rousselot· 1 shared Antoine TalyiD· 1 shared David J. WalesiD· 1 shared Giovanni MattiottiiD· 1 shared Guillaume StirnemanniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Samuela PasqualiORCID

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Author profile →

3 papers

Recent·Most cited

ARNy Plotter: A Comprehensive Web Server for RNA Ensemble Structural Analysis and Visualization

Louis Meuret, Julien Rey, Samuela Pasquali

ARNy Plotter provides a web-based platform for analyzing and visualizing RNA structural ensembles, offering tools for dynamic analysis and result sharing.

PLoS Computational Biology · Mar 31, 2026Peer-reviewedBioinformatics

Exploring RNA conformational ensembles in silico: progress and challenges

Konstantin Röder, Guillaume Stirnemann, Louis Meuret, Diego Barquero-Morera, Sélène Forget, David J. Wales, Samuela Pasquali

This paper reviews computational strategies for exploring RNA conformational ensembles, focusing on energy landscape-based approaches and atomistic simulations, and discusses challenges and future directions.

bioRxiv · Feb 18, 2026 · PreprintMolecular Biology

Statistical Molecular Interaction Fields: A Fast andInformative Tool for Characterizing RNA and ProteinBinding Pockets

Diego Barquero-Morera, Giovanni Mattiotti, Alexandar Kocev, Amshuman Rousselot, Louis Meuret, Lucas Rouaud, Hubert Santuz, Marc Baaden, Antoine Taly, Samuela Pasquali

This paper introduces Statistical Molecular Interaction Fields (SMIF) to characterize RNA and protein binding pockets, showing they are fast, informative, and compatible with pharmacophoric models.

Journal of Chemical Theory and Computation · Sep 1, 2025Peer-reviewedBiophysics