Full-spike deep mutational scanning helps predict the evolutionary success of SARS-CoV-2 clades.

Dadonaite, Bernadeta; Brown, Jack; McMahon, Teagan E; Farrell, Ariana G; Asarnow, Daniel; Stewart, Cameron; Logue, Jenni; Murrell, Ben; Chu, Helen Y; Veesler, David; Bloom, Jesse D

Dadonaite, Bernadeta; Brown, Jack; McMahon, Teagan E; Farrell, Ariana G; Asarnow, Daniel; Stewart, Cameron; Logue, Jenni; Murrell, Ben; Chu, Helen Y; Veesler, David; Bloom, Jesse D.

Afiliación

Dadonaite B; Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
Brown J; Department of Biochemistry, University of Washington, Seattle, Washington, USA.
McMahon TE; Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
Farrell AG; Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
Asarnow D; Department of Biochemistry, University of Washington, Seattle, Washington, USA.
Stewart C; Department of Biochemistry, University of Washington, Seattle, Washington, USA.
Logue J; University of Washington, Department of Medicine, Division of Allergy and Infectious Diseases, Seattle, WA.
Murrell B; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Chu HY; University of Washington, Department of Medicine, Division of Allergy and Infectious Diseases, Seattle, WA.
Veesler D; Department of Biochemistry, University of Washington, Seattle, Washington, USA.
Bloom JD; Howard Hughes Medical Institute, Seattle, WA, 98195, USA.

bioRxiv ; 2023 Nov 14.

Article en En | MEDLINE | ID: mdl-38014024

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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos