A Deep Learning Approach for Predicting Antigenic Variation of Influenza A H3N2

Modeling antigenic variation in influenza (flu) virus A H3N2 using amino acid sequences is a promising approach for improving the prediction accuracy of immune efficacy of vaccines and increasing the efficiency of vaccine screening. Antigenic drift and antigenic jump/shift, which arise from the accu...

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Detalles Bibliográficos
Autores principales: Xia, Yuan-Ling, Li, Weihua, Li, Yongping, Ji, Xing-Lai, Fu, Yun-Xin, Liu, Shu-Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541863/
https://www.ncbi.nlm.nih.gov/pubmed/34697557
http://dx.doi.org/10.1155/2021/9997669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541863/
https://www.ncbi.nlm.nih.gov/pubmed/34697557
http://dx.doi.org/10.1155/2021/9997669

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