title: Three sampling strategies to predict mutations in H5N1 hemagglutitins from influenza A 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.
authors.affiliation: Guangxi Academy of Sciences, Nanning, Guangxi, CN-530007, China.
authors.forename: Guang
authors.initials: G
authors.lastname: Wu
authors.forename: Shaomin
authors.initials: S
authors.lastname: Yan
mesh_terms: D000596:Amino Acids / Q000235:genetics; D005814:Genes, Viral; D005821:Genetic Techniques; D019267:Hemagglutinin Glycoproteins, Influenza Virus / Q000235:genetics*; D006801:Humans; D053124:Influenza A Virus, H5N1 Subtype / Q000235:genetics*; D016015:Logistic Models; D008957:Models, Genetic; D009154:Mutation
chemical_list: D000596:Amino Acids; D019267:Hemagglutinin Glycoproteins, Influenza Virus