Author

Catherine Etchebest

InsermORCID 0000-0002-5871-2372Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein structure· 3 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:mechanistic / dynamical model· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Fernando Luís Barroso da SilvaiD· 4 shared Ilyas GrandguillaumeiD· 2 shared Sergio Alejandro Poveda CuevasiD· 2 shared Adam BellaicheiD· 1 shared Julien DiharceiD· 1 shared Ravy Leon Foun LiniD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 5 mutual co-author links

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4 shared papersBioinformatics

Fernando Luís Barroso da SilvaORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Impact of the N-glycosylation on full-length IgG2 and IgG4 antibodies: a comparative study using molecular dynamics simulations.

Ravy Leon Foun Lin, Adam Bellaiche, Julien Diharce, Catherine Etchebest

This study uses molecular dynamics simulations to compare the effects of N-glycosylation on IgG2 and IgG4 antibodies, showing subclass-dependent impacts on flexibility and antigen binding.

bioRxiv · Aug 10, 2026 · PreprintBioinformatics

ARID-sf: A physics-informed Deep Learning scoring function to improve Antibody-Antigen docking model ranking

Ilyas Grandguillaume, Fernando Luís Barroso da Silva, Catherine Etchebest

ARID-sf improves antibody-antigen docking model ranking by combining force fields, structural features, and embeddings in a deep learning framework, outperforming existing methods across diverse scenarios.

Journal of Chemical Information and Modeling · Jul 27, 2026Peer-reviewedBioinformatics

ANABAG: Annotated Antibody Antigen dataset with unique features for Antibody Engineering Applications

Ilyas Grandguillaume, Fernando Luís Barroso da Silva, Catherine Etchebest

ANABAG provides a curated dataset of antibody-antigen complexes with structural and physicochemical features to improve Ab-Ag modeling and antibody engineering.

Journal of Chemical Information and Modeling · Oct 17, 2025Peer-reviewedBioinformatics

NS1 from Two Zika Virus Strains Differently Interact with a Membrane: A Plausible Explanation for their Differential Virulence

Sergio Alejandro Poveda Cuevas, Fernando Luís Barroso da Silva, Catherine Etchebest

The paper compares membrane interactions of NS1 proteins from two Zika virus strains to explain their differential virulence using molecular dynamics simulations.

Journal of Chemical Information and Modeling · Feb 13, 2023Peer-reviewedBioinformatics

Self-association features of NS1 proteins from different flaviviruses

Sergio Alejandro Poveda Cuevas, Catherine Etchebest, Fernando Luís Barroso da Silva

The paper examines the self-association of NS1 proteins from Zika, Dengue, and West Nile viruses using biophysical simulations, revealing pH-dependent oligomerization and distinct interaction profiles.

Virus Research · May 31, 2022Peer-reviewedBioinformatics