ATM-TCR: TCR-Epitope Binding Affinity Prediction Using a Multi-Head Self-Attention Model

ATM-TCR: TCR-Epitope Binding Affinity Prediction Using a Multi-Head Self-Attention Model

TCR-epitope pair binding is the key component for T cell regulation. The ability to predict whether a given pair binds is fundamental to understanding the underlying biology of the binding mechanism as well as developing T-cell mediated immunotherapy approaches. The advent of large-scale public data...

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Bibliographic Details
Main Authors: Michael Cai, Seojin Bang, Pengfei Zhang, Heewook Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Immunology
Subjects:
TCR
epitope
antigen
binding affinity
adaptive immunotherapy
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.893247/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.893247/full

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