Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4749-2_46
Reference28 articles.
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2. Xie, X., Han, Y., Zhang, K.: Mhcherrypan: a novel pan-specific model for binding affinity prediction of class I HLA-peptide. Int. J. Data Min. Bioinform. 24(3), 201–219 (2020)
3. Yang, X., Zhao, L., Wei, F., Li, J.: Deepnetbim: deep learning model for predicting HLA-epitope interactions based on network analysis by harnessing binding and immunogenicity information. BMC Bioinform. 22(1), 1–16 (2021)
4. Jing, J., et al.: Deep learning pan-specific model for interpretable MHC-I peptide binding prediction with improved attention mechanism. Proteins Struct. Funct. Bioinform. 89(7), 866–883 (2021)
5. Chu, Y., et al. A transformer-based model to predict peptide–HLA class i binding and optimize mutated peptides for vaccine design. Nature Mach. Intell. 4(3):300–311 (2022)
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