Predicting Cross-Species Infection of Swine Influenza Virus with Representation Learning of Amino Acid Features

Swine influenza viruses (SIVs) can unforeseeably cross the species barriers and directly infect humans, which pose huge challenges for public health and trigger pandemic risk at irregular intervals. Computational tools are needed to predict infection phenotype and early pandemic risk of SIVs. For th...

Descripción completa

Detalles Bibliográficos
Autores principales: Kou, Zheng, Li, Junjie, Fan, Xinyue, Kosari, Saeed, Qiang, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523279/
https://www.ncbi.nlm.nih.gov/pubmed/34671417
http://dx.doi.org/10.1155/2021/6985008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523279/
https://www.ncbi.nlm.nih.gov/pubmed/34671417
http://dx.doi.org/10.1155/2021/6985008

Ejemplares similares