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Reusability Report: Meta-Learning for Antigen-Specific T-Cell Receptor Binder Identification

2025-09-19

Abstract excerpt

<title>Abstract</title> <p>Accurate prediction of peptide-T-cell receptor (TCR) binding is vital for immunotherapy, vaccine design, and diagnostics. PanPep, a meta-learning framework, was developed to generalize diverse TCR binder predictions. This study presents a comprehensive and unbiased evaluation of PanPep’s reusability and practical utility. We reproduced its reported performance on original datasets and f...

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Literature Corpus work
c8a259e8-f90b-5fd6-ae50-e67ad64696b4
DOI
10.21203/rs.3.rs-7456773/v1
Open publication

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Reusability Report: Meta-Learning for Antigen-Specific T-Cell Receptor Binder IdentificationDOI 10.21203/rs.3.rs-7456773/v1
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