Influenza Pandemic Early Warning Research on HA/NA Protein Sequences

Title:Influenza Pandemic Early Warning Research on HA/NA Protein Sequences

Volume: 9 Issue: 3

Author(s): Jie Gao, Ling Zhang and Peixuan Jin

Affiliation:

Keywords: CGR (chaos game representation)-walk model, early warning signal values, influenza virus HA/NA protein sequences.

Abstract: Using CGR-walk model, this paper studies influenza virus HA/NA protein sequences from 1914 to 2012, and figures out multiple early warning signal values of influenza pandemic outbreak. The variances and lag 2 autocorrelation coefficients of protein sequences obtained according to the detailed HP model of the epidemic outbreak years and the last two years are significantly higher than those of the last adjacent years, while there is not the feature in the non-epidemic years.

Cite this article as:

Gao Jie, Zhang Ling and Jin Peixuan, Influenza Pandemic Early Warning Research on HA/NA Protein Sequences, Current Bioinformatics 2014; 9 (3) . https://dx.doi.org/10.2174/1574893609999140523124205