Author

Beatrice Caviglia

Centre National de la Recherche ScientifiqueORCID 0009-0001-2852-6931Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 2

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Research Focus:protein folding & dynamics· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Assay:protein structure· 1

Frequent Co-Authors

Alaa RegueiiD· 1 shared Alessandro PaciaroniiD· 1 shared Antoine TalyiD· 1 shared Carine TisnéiD· 1 shared Chantal PrévostiD· 1 shared Christian BeckiD· 1 shared Élise Duboué-DijoniD· 1 shared Fabio SterponeiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

Alaa RegueiORCID

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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

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BiophysicsNature CommunicationsPeer-reviewedNov 24, 2025

Cytoplasmic Fluidity and the Cold Life: Proteome Stability is Decoupled from Viability in Psychrophiles

Beatrice Caviglia, Štěpán Timr, Marianne Guiral…·Alessandro Paciaroni

The paper investigates how protein diffusion and proteome stability change in psychrophilic and hyperthermophilic bacteria, finding that proteome dynamics decouple from viability in cold environments.

5 citations

E. colibacteria (other)

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