AttnTAP: A Dual-input Framework Incorporating the Attention Mechanism for Accurately Predicting TCR-peptide Binding

AttnTAP: A Dual-input Framework Incorporating the Attention Mechanism for Accurately Predicting TCR-peptide Binding

T-cell receptors (TCRs) are formed by random recombination of genomic precursor elements, some of which mediate the recognition of cancer-associated antigens. Due to the complicated process of T-cell immune response and limited biological empirical evidence, the practical strategy for identifying TC...

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Bibliographic Details
Main Authors: Ying Xu, Xinyang Qian, Yao Tong, Fan Li, Ke Wang, Xuanping Zhang, Tao Liu, Jiayin Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Genetics
Subjects:
T-cell receptor
TCR-peptide binding prediction
deep learning framework
BiLSTM model
attention mechanism
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.942491/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.942491/full

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