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 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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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. |
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ISSN: | 2522-5839 2522-5839 |
DOI: | 10.1038/s42256-023-00641-5 |