title: [Bioinformatics technologies for the analysis of antigenic evolution of influenza viruses].
abstract: Human influenza viruses mutate from time to time, causing annual epidemics worldwide. The strong immune pressure in the human population selects a new variant every year, and the antigenic change is one of the primary reasons why vaccination is not a perfect measure to control seasonal influenza. Thus prediction of antigenic change of influenza A virus has been one of the major public health goals. In this review bioinformatics technologies that have been developed to achieve this goal were summarized.
authors.affiliation: Department of Bioinformatics, Hokkaido University Research Center for Zoonosis Control PRESTO, Japan Science and Technology Agency. itok@czc.hokudai.ac.jp
authors.forename: Kimihito
authors.initials: K
authors.lastname: Ito
mesh_terms: D000818:Animals; D000956:Antigens, Viral / Q000235:genetics*; D001483:Base Sequence; D019295:Computational Biology / Q000379:methods* / Q000639:trends*; D019143:Evolution, Molecular; D006801:Humans; D009980:Influenza A virus / Q000235:genetics* / Q000276:immunology*; D007252:Influenza Vaccines / Q000276:immunology*; D007251:Influenza, Human / Q000517:prevention & control / Q000821:virology; D009154:Mutation; D009976:Orthomyxoviridae Infections / Q000821:virology
chemical_list: D000956:Antigens, Viral; D007252:Influenza Vaccines