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...

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Detalhes bibliográficos
Publicado no:iScience
Main Authors: Gao, Ang, Chen, Zhilin, Amitai, Assaf, Doelger, Julia, Mallajosyula, Vamsee, Sundquist, Emily, Pereyra Segal, Florencia, Carrington, Mary, Davis, Mark M., Streeck, Hendrik, Chakraborty, Arup K., Julg, Boris
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7956900/
https://ncbi.nlm.nih.gov/pubmed/33748696
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isci.2021.102311
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