Cargando…
Convolutional Neural Networks Based on Sequential Spike Predict the High Human Adaptation of SARS-CoV-2 Omicron Variants
The COVID-19 pandemic has frequently produced more highly transmissible SARS-CoV-2 variants, such as Omicron, which has produced sublineages. It is a challenge to tell apart high-risk Omicron sublineages and other lineages of SARS-CoV-2 variants. We aimed to build a fine-grained deep learning (DL) m...
Autores principales: | Nan, Bei-Guang, Zhang, Sen, Li, Yu-Chang, Kang, Xiao-Ping, Chen, Yue-Hong, Li, Lin, Jiang, Tao, Li, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147419/ https://www.ncbi.nlm.nih.gov/pubmed/35632811 http://dx.doi.org/10.3390/v14051072 |
Ejemplares similares
-
Structural diversity of the SARS-CoV-2 Omicron spike
por: Gobeil, Sophie M.-C., et al.
Publicado: (2022) -
Sequential immunizations confer cross-protection against variants of SARS-CoV-2, including Omicron in Rhesus macaques
por: Deng, Wei, et al.
Publicado: (2022) -
Spike protein of SARS-CoV-2 Omicron variant: An in-silico study evaluating spike interactions and immune evasion
por: Jimenez Ruiz, Jose A., et al.
Publicado: (2022) -
Surface electrostatic shift on spike protein decreased antibody activities against SARS-CoV-2 Omicron variant
por: Yuan, Shu, et al.
Publicado: (2022) -
Spike protein-independent attenuation of SARS-CoV-2 Omicron variant in laboratory mice
por: Liu, Shufeng, et al.
Publicado: (2022)