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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956900/
https://www.ncbi.nlm.nih.gov/pubmed/33748696
http://dx.doi.org/10.1016/j.isci.2021.102311

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956900/
https://www.ncbi.nlm.nih.gov/pubmed/33748696
http://dx.doi.org/10.1016/j.isci.2021.102311

Ejemplares similares