Predicting the antigenic evolution of SARS-COV-2 with deep learning

The relentless evolution of SARS-CoV-2 poses a significant threat to public health, as it adapts to immune pressure from vaccines and natural infections. Gaining insights into potential antigenic changes is critical but challenging due to the vast sequence space. Here, we introduce the Machine Learn...

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Detalles Bibliográficos
Autores principales: Han, Wenkai, Chen, Ningning, Xu, Xinzhou, Sahil, Adil, Zhou, Juexiao, Li, Zhongxiao, Zhong, Huawen, Gao, Elva, Zhang, Ruochi, Wang, Yu, Sun, Shiwei, Cheung, Peter Pak-Hang, Gao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261845/
https://www.ncbi.nlm.nih.gov/pubmed/37311849
http://dx.doi.org/10.1038/s41467-023-39199-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261845/
https://www.ncbi.nlm.nih.gov/pubmed/37311849
http://dx.doi.org/10.1038/s41467-023-39199-6

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