
315-Unified Benchmark of TCR–Epitope Prediction Models
This study provides a thorough benchmark assessment of fifty cutting-edge computational methods designed for TCR-epitope binding recognition. The authors implemented a standardized methodology, including comprehensive retraining across unified datasets, to evaluate model effectiveness and identify key influencing factors. The analysis reveals a significant challenge in the field: most models struggle significantly to generalize when predicting interactions involving unseen epitopes, often resulting in near-random performance. However, accuracy generally improved when models utilized larger…
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