bioRxivBioinformaticsPreprint
Predicting recognition between T cell receptors and epitopes using contextualized motifs
Emmi JokineniD, Alexandru DumitrescuiD, Jani HuuhtaneniD, Vladimir GligorijevićiD, Satu M. MustjokiiD, Richard BonneauiD, Markus HeinoneniD, Harri J LähdesmäkiiD
Abstract
We introduce TCRconv, a deep learning model for predicting recognition between T-cell receptors and epitopes. TCRconv uses a deep protein language model and convolutions to extract contextualized motifs and provides state-of-the-art TCR-epitope prediction accuracy. Using TCR repertoires from COVID-19 patients, we demonstrate that TCRconv can provide insight into T-cell dynamics and phenotypes during the disease.
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