A Biologically Informed Vision-Guided Framework for Interpretable T Cell Receptor-Epitope Binding Prediction.
Sign Up to like & getrecommendations! Published in 2025 at "Advanced science"
DOI: 10.1002/advs.202512544
Abstract: Accurate identification of the interactions between T‐cell receptors (TCRs) and antigenic epitopes presented by major histocompatibility complex (MHC) molecules is fundamental to advancing cancer immunotherapy. Nevertheless, predictive modeling of TCR–epitope binding remains challenging, as existing… read more here.
Keywords: vision guided; biologically informed; informed vision; epitope binding ... See more keywords
EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning
Sign Up to like & getrecommendations! Published in 2025 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaf080
Abstract: Abstract Motivation Correctly identifying epitope-binding T-cell receptors (TCRs) is important to both understand their underlying biological mechanism in association to some phenotype and accordingly develop T-cell mediated immunotherapy treatments. Although the importance of the CDR3… read more here.
Keywords: binding tcrs; multiple instance; epitope binding; instance learning ... See more keywords
ATM-TCR: TCR-Epitope Binding Affinity Prediction Using a Multi-Head Self-Attention Model
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2022.893247
Abstract: 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… read more here.
Keywords: tcr; tcr epitope; model; attention ... See more keywords