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Melyssa Cheung

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Open access Jul 2026

Benchmarking AlphaFold and related deep learning approaches for modeling antibody and TCR antigen recognition

It is shown that increased sampling and AlphaFold3 generally improve performance relative to default sampling and AlphaFold2, however predictive accuracy and improvement levels varied considerably among interface classes, with antibody-peptide complexes representing a challenge despite their small antigen size.

Rui Yin, S. Saravanakumar, S. Shi et al. · 1 citation