A deep mutational scanning-informed protein language model predicts SARS-CoV-2 evolution dynamics with spatiotemporal resolution

Nature Microbiology 2026

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Authors: S M Yang, Xiaowei Luo, Jiejian Luo, Fanchong Jian, Y J Cao
DOI: 10.1038/s41564-026-02377-5
Cited by: 1
References: 49

Fields of Study & Subjects

vaccines and immunoinformatics approaches SARS-CoV-2 and COVID-19 Research Genomics and Rare Diseases

Publication details

Journal / source
Nature Microbiology
Publisher
Springer Science and Business Media LLC
Volume
11
Issue
7
Pages
1850–1863
Publication date
27 May 2026
Language
EN