Interpretable Prediction of SARS-CoV-2 Epitope-Specific TCR Recognition Using a Pre-Trained Protein Language Model

The emergence of the novel coronavirus, designated as severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has posed a significant threat to public health worldwide. There has been progress in reducing hospitalizations and deaths due to SARS-CoV-2. However, challenges stem from the emergenc...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics 2024-05, Vol.21 (3), p.428-438
Hauptverfasser:	Yoo, Sunyong, Jeong, Myeonghyeon, Seomun, Subhin, Kim, Kiseong, Han, Youngmahn
Format:	Artikel
Sprache:	eng
Schlagworte:	Amino acids Attention mechanism Attention mechanisms Coronaviruses COVID-19 Deep learning Disease transmission epitope Epitopes Gaussian process Humoral immunity Immune response Immune response (cell-mediated) Immune system Immunogenicity Lymphocytes Lymphocytes T Machine learning Performance prediction Prediction models Predictive models Proteins Public health Recognition SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 T cell receptors T-cell receptor Transfer learning Viral diseases
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