Computational prediction of vaccine strains for human influenza A (H3N2) viruses.

ABSTRACT: Human influenza A viruses are rapidly evolving pathogens that cause substantial morbidity and mortality in seasonal epidemics around the globe. To ensure continued protection, the strains used for the production of the seasonal influenza vaccine have to be regularly updated, which involves data collection and analysis by numerous experts worldwide. Computer-guided analysis is becoming increasingly important in this problem due to the vast amounts of generated data. We here describe a computational method for selecting a suitable strain for production of the human influenza A virus vaccine. It interprets available antigenic and genomic sequence data based on measures of antigenic novelty and rate of propagation of the viral strains throughout the population. For viral isolates sampled betwe

SUBMITTER: Steinbruck L 

PROVIDER: S-EPMC4178748 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature