Using Sequence Data To Infer the Antigenicity of Influenza Virus
ABSTRACT The efficacy of current influenza vaccines requires a close antigenic match between circulating and vaccine strains. As such, timely identification of emerging influenza virus antigenic variants is central to the success of influenza vaccination programs. Empirical methods to determine infl...
Main Authors: | Hailiang Sun, Jialiang Yang, Tong Zhang, Li-Ping Long, Kun Jia, Guohua Yang, Richard J. Webby, Xiu-Feng Wan |
---|---|
Format: | Article |
Language: | English |
Published: |
American Society for Microbiology
2013-08-01
|
Series: | mBio |
Online Access: | https://journals.asm.org/doi/10.1128/mBio.00230-13 |
Similar Items
-
Predicting influenza antigenicity from Hemagglutintin sequence data based on a joint random forest method
by: Yuhua Yao, et al.
Published: (2017-05-01) -
A computational framework for influenza antigenic cartography.
by: Zhipeng Cai, et al.
Published: (2010-10-01) -
MAIVeSS: streamlined selection of antigenically matched, high-yield viruses for seasonal influenza vaccine production
by: Cheng Gao, et al.
Published: (2024-02-01) -
Predicting Influenza Antigenicity by Matrix Completion With Antigen and Antiserum Similarity
by: Peng Wang, et al.
Published: (2018-10-01) -
Time-Dependent Proinflammatory Responses Shape Virus Interference during Coinfections of Influenza A Virus and Influenza D Virus
by: Minhui Guan, et al.
Published: (2022-01-01)