TTCR: Accurate TCR-Epitope Binding Affinity Prediction Using Transformers
Author:
Affiliation:
1. Agency for Science, Technology and Research,Institute of High Performance Computing,Singapore,Republic of Singapore,138632
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10605128/10605229/10605308.pdf?arnumber=10605308
Reference26 articles.
1. NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data
2. ATM-TCR: TCR-Epitope Binding Affinity Prediction Using a Multi-Head Self-Attention Model
3. Deep learning-based prediction of the T cell receptor–antigen binding specificity
4. VDJdb: a curated database of T-cell receptor sequences with known antigen specificity
5. VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium
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