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22,210 results on '"Taylor, John"'

10. Mostarda

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

11. Mama's Cornbread

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

13. Time for a Drink!

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

15. On Pepper

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

16. Pasta alla Checca

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

17. Oysters Mournful

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

19. Watermelon

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

23. Black Walnuts

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

26. Transylvania

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

27. Cheese Straws

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

30. Shrimp and Grits

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

31. French Fries

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

35. Foreword

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

37. Pesto

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

38. Introduction

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

39. Contents

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

40. Ats Jaar Pickles

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

42. Acknowledgments

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

45. Body Count

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

46. Daddy and Paella

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

47. Dance Lessons

Author

Harris, Jessica B. and Taylor, John Martin

Published
2022

50. Contrastive learning of T cell receptor representations

Author

Nagano, Yuta, Pyo, Andrew, Milighetti, Martina, Henderson, James, Shawe-Taylor, John, Chain, Benny, and Tiffeau-Mayer, Andreas

Subjects
Quantitative Biology - Biomolecules, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, J.3, I.2.7
Abstract

Computational prediction of the interaction of T cell receptors (TCRs) and their ligands is a grand challenge in immunology. Despite advances in high-throughput assays, specificity-labelled TCR data remains sparse. In other domains, the pre-training of language models on unlabelled data has been successfully used to address data bottlenecks. However, it is unclear how to best pre-train protein language models for TCR specificity prediction. Here we introduce a TCR language model called SCEPTR (Simple Contrastive Embedding of the Primary sequence of T cell Receptors), capable of data-efficient transfer learning. Through our model, we introduce a novel pre-training strategy combining autocontrastive learning and masked-language modelling, which enables SCEPTR to achieve its state-of-the-art performance. In contrast, existing protein language models and a variant of SCEPTR pre-trained without autocontrastive learning are outperformed by sequence alignment-based methods. We anticipate that contrastive learning will be a useful paradigm to decode the rules of TCR specificity., Comment: 19 pages, 17 figures

Published
2024

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