Article

Predicting recognition between T cell receptors and epitopes using contextualized motifs

2022-05-24

Abstract excerpt

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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Identifiers and source

Literature Corpus work: 87eff370-b029-55e9-8680-5b643a21f847
DOI: 10.1101/2022.05.23.493034

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