Author

Maude Dumont-Lagacé

Institute for Research in Immunology and CancerORCID 0000-0002-6452-0975Unclaimed 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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Research Focus:drug response / drug discovery· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Albert FeghalyiD· 2 shared Tariq DaoudaiD· 2 shared Alexandra–Chloé VillaniiD· 1 shared Claude PerreaultiD· 1 shared Étienne GagnoniD· 1 shared François MajoriD· 1 shared Lea A. HarringtoniD· 1 shared Mathieu CourcellesiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioinformatics

Albert FeghalyORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 4, 2021

Codon arrangement modulates MHC-I peptides presentation: implications for a SARS-CoV-2 peptide-based vaccine

Tariq Daouda, Maude Dumont-Lagacé, Albert Feghaly, Alexandra–Chloé Villani

The paper uses CAMAP to predict SARS-CoV-2 MHC-I peptides, identifies 48 vaccine candidates covering most HLA haplotypes and strains, and provides an interactive portal for exploration.

DOI 10.1101/2021.02.04.429819

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 3, 2020

CAMAP: Artificial neural networks unveil the role of codon arrangement in modulating MHC-I peptides presentation

Tariq Daouda, Maude Dumont-Lagacé, Albert Feghaly…·Claude Perreault

The paper introduces CAMAP, an artificial neural network that predicts MHC-I peptide presentation by analyzing codon arrangement in mRNA sequences, improving prediction accuracy beyond traditional methods.

2 citations

humanmouse

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