Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccine...
Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines
About this item
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Author / Creator
Kovalchik, Kevin A. , Hamelin, David J. , Kubiniok, Peter , Bourdin, Benoîte , Mostefai, Fatima , Poujol, Raphaël , Paré, Bastien , Simpson, Shawn M. , Sidney, John , Bonneil, Éric , Courcelles, Mathieu , Saini, Sunil Kumar , Shahbazy, Mohammad , Kapoor, Saketh , Rajesh, Vigneshwar , Weitzen, Maya , Grenier, Jean-Christophe , Gharsallaoui, Bayrem , Maréchal, Loïze , Wu, Zhaoguan , Savoie, Christopher , Sette, Alessandro , Thibault, Pierre , Sirois, Isabelle , Smith, Martin A. , Decaluwe, Hélène , Hussin, Julie G. , Lavallée-Adam, Mathieu and Caron, Etienne
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Next-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity against current and emerging SARS-CoV-2 variants. Precise identification of conserved T-cell epitopes is critical for designing effective vaccines. Here we introduce a comprehensive computational framework incorporating a machine learning algorithm—M...
Alternative Titles
Full title
Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines
Authors, Artists and Contributors
Author / Creator
Hamelin, David J.
Kubiniok, Peter
Bourdin, Benoîte
Mostefai, Fatima
Poujol, Raphaël
Paré, Bastien
Simpson, Shawn M.
Sidney, John
Bonneil, Éric
Courcelles, Mathieu
Saini, Sunil Kumar
Shahbazy, Mohammad
Kapoor, Saketh
Rajesh, Vigneshwar
Weitzen, Maya
Grenier, Jean-Christophe
Gharsallaoui, Bayrem
Maréchal, Loïze
Wu, Zhaoguan
Savoie, Christopher
Sette, Alessandro
Thibault, Pierre
Sirois, Isabelle
Smith, Martin A.
Decaluwe, Hélène
Hussin, Julie G.
Lavallée-Adam, Mathieu
Caron, Etienne
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_9c66e9cf31c342f29664ca716c9b1d6c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9c66e9cf31c342f29664ca716c9b1d6c
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-54734-9