Predicting TCR sequences for unseen antigen epitopes using structural and sequence features
Hongchen Ji,
Xiang-Xu Wang,
Qiong Zhang
et al.
Abstract:T-cell receptor (TCR) recognition of antigens is fundamental to the adaptive immune response. With the expansion of experimental techniques, a substantial database of matched TCR–antigen pairs has emerged, presenting opportunities for computational prediction models. However, accurately forecasting the binding affinities of unseen antigen–TCR pairs remains a major challenge. Here, we present convolutional-self-attention TCR (CATCR), a novel framework tailored to enhance the prediction of epitope and TCR intera… Show more
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