Author

Valentin Lombard

Centre National de la Recherche ScientifiqueORCID 0009-0001-3703-1391Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

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Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Élodie LaineiD· 2 shared Sergei GrudininiD· 2 shared Dan Timsit· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Élodie LaineORCID

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2 papers

Recent·Most cited

BioinformaticsStructurePeer-reviewedJul 18, 2025

SeaMoon: from protein language models to continuous structural heterogeneity

Valentin Lombard, Dan Timsit, Sergei Grudinin, Élodie Laine

SeaMoon predicts continuous protein motions from sequences using pLM embeddings and a lightweight CNN, achieving reasonable accuracy for 40% of test proteins.

8 citations

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsScientific DataPeer-reviewedJul 10, 2024

Explaining Conformational Diversity in Protein Families through Molecular Motions

Valentin Lombard, Sergei Grudinin, Élodie Laine

This paper introduces DANCE, a method to analyze conformational variability in protein families, and evaluates dimensionality reduction techniques for sampling unseen protein states.

17 citations

protein structurestatistical model

𝕏 PostBluesky