Author

Laurent David

Centre National de la Recherche ScientifiqueORCID 0000-0002-9052-3854Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:protein sequence· 2 Assay:protein structure· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Alessandra CarboneiD· 2 shared Yasser Mohseni BehbahaniiD· 2 shared Alexandre G. de BreverniD· 1 shared Chloé DequekeriD· 1 shared Élodie LaineiD· 1 shared Gaëlle Verdon· 1 shared Mustafa TekpinariD· 1 shared Thomas HenryiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 12 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetic & Genomic Medicine

Alessandra CarboneORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A deep learning approach for rational affinity maturation of anti-VEGF nanobodies

Gaëlle Verdon, Laurent David, Alexandre G. de Brevern, Yasser Mohseni Behbahani

This study uses deep learning to design anti-VEGF nanobodies with improved affinity and stability through structure-guided mutational modeling and a sequence-based melting temperature predictor.

bioRxiv · Oct 20, 2025 · PreprintBioinformatics

PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect

Mustafa Tekpinar, Laurent David, Thomas Henry, Alessandra Carbone

PRESCOTT predicts the functional impact of missense mutations using sequence and structural data, outperforming existing methods in variant classification and disease-specific mutation analysis.

Genome biology · May 6, 2025Peer-reviewedGenetic & Genomic Medicine

From complete cross-docking to partners identification and binding sites predictions

Chloé Dequeker, Yasser Mohseni Behbahani, Laurent David, Élodie Laine, Alessandra Carbone

This paper introduces a molecular cross-docking approach to identify protein partners and assesses its performance against sequence-based deep learning methods.

PLoS Computational Biology · Jan 28, 2022Peer-reviewedBioinformatics