Author

Sébastien Ouellet

ORCID 0000-0002-3098-4907Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1 Organism:multiple species· 1

Frequent Co-Authors

Larissa FergusoniD· 2 shared Tony K.Y. LimiD· 2 shared Angus Z. LauiD· 1 shared Christopher Wang· 1 shared Elke VandewyeriD· 1 shared Isabel BeetsiD· 1 shared William R SchaferiD· 1 shared Zaw Wunna· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Larissa FergusonORCID

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Author profile →

2 papers

Recent·Most cited

DeorphaNN: Virtual screening of GPCR peptide agonists using AlphaFold-predicted active-state complexes and deep learning embeddings

Larissa Ferguson, Sébastien Ouellet, Elke Vandewyer, Christopher Wang, Zaw Wunna, Tony K.Y. Lim, William R Schafer, Isabel Beets

DeorphaNN identifies peptide agonists for GPCRs using AlphaFold structural predictions and deep learning embeddings, successfully uncovering agonists for two orphan receptors across species.

Molecular Cell · Jul 23, 2026Peer-reviewedBioinformatics

CysPresso: A classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides

Sébastien Ouellet, Larissa Ferguson, Angus Z. Lau, Tony K.Y. Lim

CysPresso predicts recombinant expression of cysteine-dense peptides using deep learning protein representations, finding AlphaFold2 features most effective for this task.

BMC Bioinformatics · May 16, 2023Peer-reviewedBioinformatics