Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines
Kovalchik K, Hamelin D, Kubiniok P, Bourdin B, Mostefai F, Poujol R, Paré B, Simpson S, Sidney J, Bonneil É, Courcelles M, Saini S, Shahbazy M, Kapoor S, Rajesh V, Weitzen M, Grenier J, Gharsallaoui B, Maréchal L, Wu Z, Savoie C, Sette A, Thibault P, Sirois I, Smith M, Decaluwe H, Hussin J, Lavallée-Adam M, Caron E. Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines. Nature Communications 2024, 15: 10316. PMID: 39609459, PMCID: PMC11604954, DOI: 10.1038/s41467-024-54734-9.Peer-Reviewed Original ResearchMeSH KeywordsCD8-Positive T-LymphocytesCOVID-19COVID-19 VaccinesEpitopes, T-LymphocyteHumansMachine LearningProteomicsSARS-CoV-2Spike Glycoprotein, CoronavirusConceptsT cell epitopesT cellsCD8+ T cell epitopesT cell immunityT cell epitope discoverySARS-CoV-2T-cell-directed vaccinationDesigning effective vaccinesB7 supertypePatient's proteomesSARS-CoV-2 variantsVaccine epitopesViral antigensSpike antigenVaccine developmentEffective vaccineEpitope discoveryCOVID-19 vaccineVaccineEpitopesAntigenic featuresOmicron variantAntigenCOVID-19CD8