Author

Élise Duboué-Dijon

Centre National de la Recherche ScientifiqueORCID 0000-0003-0871-5177Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:protein folding & dynamics· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:mechanistic / dynamical model· 1 Assay:protein structure· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Chantal PrévostiD· 2 shared Jules MarieniD· 2 shared Sophie Sacquin‐MoraiD· 2 shared Alaa RegueiiD· 1 shared Antoine TalyiD· 1 shared Beatrice CavigliaiD· 1 shared Carine TisnéiD· 1 shared Fabrice LeclerciD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBiophysics

Chantal PrévostORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintJul 26, 2026

Deep-learning predictions of biomolecular structures : persistent limitations and new horizons extended by explicit ion addition

Jules Marien, Sujith Sritharan, Beatrice Caviglia…·Antoine Taly

This paper evaluates limitations of deep learning in biomolecular structure prediction, highlighting the benefits of explicit ion modeling for improving conformational accuracy.

DOI 10.64898/2026.07.24.740587

protein structuredeep learning

𝕏 PostBluesky

BiochemistrybioRxivPreprintAug 28, 2025

Sticky salts: overbinding of monovalent cations to phosphorylations in all-atom forcefields

Jules Marien, Julie Puyo-Fourtine, Chantal Prévost…·Élise Duboué-Dijon

The paper assesses the overbinding of monovalent cations to phosphorylations in forcefields, identifies it as an artifact, and proposes a parameterization strategy to improve accuracy.

DOI 10.1101/2025.08.28.672842

proteomicsstatistical model

𝕏 PostBluesky