تقرير
BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database
| العنوان: | BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database |
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| المؤلفون: | Banerjee, Amitava, Pattinson, David J, Wincek, Cornelia L, Bunk, Paul, Chapin, Sarah R, Navlakha, Saket, Meyer, Hannah V |
| سنة النشر: | 2024 |
| المجموعة: | Cold Spring Harbor Laboratory: CSHL Institutional Repository |
| مصطلحات موضوعية: | T cells, cell types, cell types and functions, organs, tissues, organelles |
| الوصف: | Predicting T cell receptor (TCR) activation is challenging due to the lack of both unbiased benchmarking datasets and computational methods that are sensitive to small mutations to a peptide. To address these challenges, we curated a comprehensive database encompassing complete single amino acid mutational assays of 10,750 TCR-peptide pairs, centered around 14 immunogenic peptides against 66 TCRs. We then present an interpretable Bayesian model, called BATMAN, that can predict the set of peptides that activates a TCR. When validated on our database, BATMAN outperforms existing methods by 20% and reveals important biochemical predictors of TCR-peptide interactions. |
| نوع الوثيقة: | report |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://repository.cshl.edu/id/eprint/41429/1/2024.01.22.576714v1.full.pdfTest; Banerjee, Amitava, Pattinson, David J, Wincek, Cornelia L, Bunk, Paul, Chapin, Sarah R, Navlakha, Saket, Meyer, Hannah V (January 2024) BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database. bioRxiv. (Submitted) |
| DOI: | 10.1101/2024.01.22.576714 |
| الإتاحة: | https://doi.org/10.1101/2024.01.22.576714Test https://repository.cshl.edu/id/eprint/41429Test/ https://repository.cshl.edu/id/eprint/41429/1/2024.01.22.576714v1.full.pdfTest |
| حقوق: | cc_by_nc_nd |
| رقم الانضمام: | edsbas.48B71F10 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1101/2024.01.22.576714 |
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