Three Sampling Strategies to Predict Mutations in H5N1 Hemagglutitins from Influenza A Virus

Title: Three Sampling Strategies to Predict Mutations in H5N1 Hemagglutitins from Influenza A Virus

Volume: 15 Issue: 7

Author(s): Guang Wu and Shaomin Yan

Affiliation:

Keywords: Amino acid, hemagglutinin, influenza, logistic regression, model, mutation, prediction, RNA, virus

Abstract: After several studies on prediction of mutation, we examine the effect of three sampling strategies, the sampling based on years, the sampling based on number of mutations, and the sampling based on the unpredictable portion of amino-acid pairs, on the prediction performance in H5N1 hemagglutinins. The results show that the sampling strategy does play an important role in prediction, which should be taken into account when predicting the next generation of mutations in proteins from influenza A virus.

Cite this article as:

Wu Guang and Yan Shaomin, Three Sampling Strategies to Predict Mutations in H5N1 Hemagglutitins from Influenza A Virus, Protein & Peptide Letters 2008; 15 (7) . https://dx.doi.org/10.2174/092986608785133735

DOI https://dx.doi.org/10.2174/092986608785133735	Print ISSN 0929-8665
Publisher Name Bentham Science Publisher	Online ISSN 1875-5305