TPBTE: A model based on convolutional Transformer for predicting the binding of TCR to epitope.

Wu, Jie; Qi, Meng; Zhang, Feiyan; Zheng, Yuanjie

Wu, Jie; Qi, Meng; Zhang, Feiyan; Zheng, Yuanjie.

Afiliação

Wu J; School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China.
Qi M; School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China. Electronic address: qimeng@sdnu.edu.cn.
Zhang F; School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China.
Zheng Y; School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China.

Mol Immunol ; 157: 30-41, 2023 05.

Article em En | MEDLINE | ID: mdl-36966551

Assuntos

Epitopos de Linfócito T; Receptores de Antígenos de Linfócitos T

Palavras-chave

Antigenic epitopes; Attention mechanism; T cell Epitope prediction; T cell receptor; Transformer

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Receptores de Antígenos de Linfócitos T / Epitopos de Linfócito T Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Immunol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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