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
Evaluation of Cross-Validation Strategies in Sequence-Based Binding Prediction Using Deep Learning
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DOI: 10.1021/acs.jcim.8b00663
Abstract: Binding prediction between targets and drug-like compounds through deep neural networks has generated promising results in recent years, outperforming traditional machine learning-based methods. However, the generalization capability of these classification models is still an issue… read more here.
Keywords: cross validation; binding prediction; learning; deep learning ... See more keywords
Iterative attack-and-defend framework for improving TCR-epitope binding prediction models
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DOI: 10.1093/bioinformatics/btaf224
Abstract: Abstract Motivation Reliable TCR-epitope binding prediction models are essential for development of adoptive T cell therapy and vaccine design. These models often struggle with false positives, which can be attributed to the limited data coverage… read more here.
Keywords: prediction models; tcr epitope; prediction; model ... See more keywords
An automated benchmarking platform for MHC class II binding prediction methods
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DOI: 10.1093/bioinformatics/btx820
Abstract: Motivation Computational methods for the prediction of peptide-MHC binding have become an integral and essential component for candidate selection in experimental T cell epitope discovery studies. The sheer amount of published prediction methods-and often discordant… read more here.
Keywords: class binding; binding prediction; mhc; prediction methods ... See more keywords