Work

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

Year: 2026

Type: article

Source: Nature Microbiology

DOI: 10.1038/s41564-026-02377-5

Authors: Sijie Yang, Xiaowei Luo, Jiejian Luo, Fanchong Jian, Yunlong Cao

Institutions: Peking University, Center for Life Sciences, Changping Laboratory, Tsinghua University

Language: English

Topic: SARS-CoV-2 and COVID-19 Research

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, China Postdoctoral Science Foundation, Peking University

Awards: G2153475421, G7520797719, G7686152070

OpenAlex ID: W7162547673

FWCI: 4.718

Cites: 49

Cited by: 1

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