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Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions
We present a combinatorial machine learning method to evaluate and optimize peptide vaccine formulations for SARS-CoV-2. Our approach optimizes the presentation likelihood of a diverse set of vaccine peptides conditioned on a target human-population HLA haplotype distribution and expected epitope dr...
Autores principales: | Liu, Ge, Carter, Brandon, Bricken, Trenton, Jain, Siddhartha, Viard, Mathias, Carrington, Mary, Gifford, David K. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384425/ https://www.ncbi.nlm.nih.gov/pubmed/32721383 http://dx.doi.org/10.1016/j.cels.2020.06.009 |
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