Author

Laure Carriere

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

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Assay:structural biology· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Juan CortésiD· 2 shared Mátyás PajkosiD· 2 shared Pau BernadóiD· 2 shared Alexandre Huyghe· 1 shared Aurélie FournetiD· 1 shared Aurélien ThureauiD· 1 shared Bartels Simon· 1 shared Cédric MontanieriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBiophysics

Juan CortésORCID

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2 papers

Recent·Most cited

Conformational ensembles of flexible multidomain proteins: How close are we to accurate and reliable predictions?

Santiago Rodriguez, Aurélie Fournet, Bartels Simon, Mátyás Pajkos, Ilinka Clerc, Laure Carriere, Aurélien Thureau, Cédric Montanier, Claire Dumon, Frédéric Allemand, Juan Cortés, Pau Bernadó

This study evaluates five computational methods for modeling conformational ensembles of flexible multidomain proteins using SAXS data, highlighting discrepancies and biases in their predictions.

Biophysical Journal · Aug 26, 2026Peer-reviewedBiophysics

Generative design of intrinsically disordered proteins based on conditioned protein language models: Data is the limit

Laure Carriere, Alexandre Huyghe, Mátyás Pajkos, Pau Bernadó, Juan Cortés

This paper presents a generative framework for designing intrinsically disordered proteins using protein language models, showing that large datasets are essential for accurate conformational control.

bioRxiv · Apr 16, 2026 · PreprintBioinformatics