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...

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Detalles Bibliográficos
Autores principales: Liu, Ge, Carter, Brandon, Bricken, Trenton, Jain, Siddhartha, Viard, Mathias, Carrington, Mary, Gifford, David K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2020
Materias:
Article
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

Internet

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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