Author

Guillaume Lamoureux

Rutgers, The State University of New JerseyORCID 0000-0001-7656-0176Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 1

Frequent Co-Authors

Anushriya SubedyiD· 1 shared Georgy DerevyankoiD· 1 shared Siddharth Bhadra-LoboiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Anushriya SubedyORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 18, 2026

SE3Bind: SE(3)-equivariant model for antibody-antigen binding affinity prediction

Anushriya Subedy, Siddharth Bhadra-Lobo, Guillaume Lamoureux

SE3Bind predicts antibody-antigen binding affinity using an SE(3)-equivariant model trained on re-docking and energy prediction tasks, achieving performance comparable to existing models.

DOI 10.64898/2026.01.17.700115

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 23, 2019

Protein-protein docking using learned three-dimensional representations

Georgy Derevyanko, Guillaume Lamoureux

The paper introduces a deep learning model for protein-protein docking that uses 3D representations to predict interaction scores based on atomic densities and spatial arrangements.

9 citations

protein structuredeep learning

𝕏 PostBluesky