Learning from HIV-1 to predict the immunogenicity of T cell epitopes in SARS-COV-2
We describe a physics-based learning model for predicting the immunogenicity of Cytotoxic-T-Lymphocyte (CTL) epitopes derived from diverse pathogens including SARS-CoV-2. The model was trained and optimized on the relative immunodominance of CTL epitopes in Human Immunodeficiency Virus infection. It...
| Κύριοι συγγραφείς: | , , , , |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
Elsevier BV
2021
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| Διαθέσιμο Online: | https://hdl.handle.net/1721.1/130336 |