-

nihao guest [ sign in / register ]
2024-11-23 3:37:51


Liao YC, Lee MS, Ko CY, Hsiung CA.. Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus. Bioinformatics. 2008 Jan 10
submited by kickingbird at Jan, 15, 2008 10:38 AM from Bioinformatics. 2008 Jan 10

MOTIVATION: Continual and accumulated mutations in hemagglutinin (HA) protein of influenza A virus generate novel antigenic strains that cause annual epidemics. RESULTS: We propose a model by incorporating scoring and regression methods to predict antigenic variants. Based on collected sequences of influenza A/H3N2 viruses isolated between 1971 and 2002, our model can be used to accurately predict the antigenic variants in 1999-2004 (agreement rate = 91.67%). Twenty amino acid positions identified in our model contribute significantly to antigenic difference and are potential immunodominant positions. CONTACT: hsiung@nhri.org.tw Supplemental information: The supplementary information includes 62 amino acid sequences of H3N2 viruses and 277 pair-wise antigenic distances.

See Also:

Latest articles in those days:

[Go Top]    [Close Window]

Related Pages:
Learn about the flu news, articles, events and more
Subscribe to the weekly F.I.C newsletter!


  

Site map  |   Contact us  |  Term of use  |  FAQs |  粤ICP备10094839号-1
Copyright ©www.flu.org.cn. 2004-2024. All Rights Reserved. Powered by FIC 4.0.1
  Email:webmaster@flu.org.cn