Immunology: Meta-learning for T cell-receptor binding specificity and beyond

Predicting whether T-cell receptors bind to specific peptides is a challenging problem as the majority of binding examples in the training data involves only a few peptides. A new approach employs meta-learning to improve predictions for binding to peptides for which no or little binding data exists...

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Veröffentlicht in:Nature machine intelligence 2023-04, Vol.5 (4), p.337-339
Hauptverfasser: Wang, Duolin, He, Fei, Yu, Yang, Xu, Dong
Format: Artikel
Sprache:eng
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Zusammenfassung:Predicting whether T-cell receptors bind to specific peptides is a challenging problem as the majority of binding examples in the training data involves only a few peptides. A new approach employs meta-learning to improve predictions for binding to peptides for which no or little binding data exists.
ISSN:2522-5839
2522-5839
DOI:10.1038/s42256-023-00641-5