Predicting recognition between T cell receptors and epitopes using contextualized motifs

Autor: Emmi Jokinen, Alexandru Dumitrescu, Jani Huuhtanen, Vladimir Gligorijević, Satu Mustjoki, Richard Bonneau, Markus Heinonen, Harri Lähdesmäki
Rok vydání: 2022
Popis: 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.
Databáze: OpenAIRE