Learning from HIV-1 to predict the immunogenicity of T cell epitopes in SARS-CoV-2

Learning from HIV-1 to predict the immunogenicity of T cell epitopes in SARS-CoV-2

Summary: 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 infe...

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Bibliographic Details
Main Authors: Ang Gao, Zhilin Chen, Assaf Amitai, Julia Doelger, Vamsee Mallajosyula, Emily Sundquist, Florencia Pereyra Segal, Mary Carrington, Mark M. Davis, Hendrik Streeck, Arup K. Chakraborty, Boris Julg
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:iScience
Subjects:
Immunology
Immune Respons
In Silico Biology
Artificial Intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004221002790

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http://www.sciencedirect.com/science/article/pii/S2589004221002790

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