Mutational analysis of SARS-CoV-2 variants of concern reveals key tradeoffs between receptor affinity and antibody escape

SARS-CoV-2 variants with enhanced transmissibility represent a serious threat to global health. Here we report machine learning models that can predict the impact of receptor-binding domain (RBD) mutations on receptor (ACE2) affinity, which is linked to infectivity, and escape from human serum antib...

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Detalles Bibliográficos
Autores principales: Makowski, Emily K., Schardt, John S., Smith, Matthew D., Tessier, Peter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223403/
https://www.ncbi.nlm.nih.gov/pubmed/35639784
http://dx.doi.org/10.1371/journal.pcbi.1010160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223403/
https://www.ncbi.nlm.nih.gov/pubmed/35639784
http://dx.doi.org/10.1371/journal.pcbi.1010160

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