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

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