Input: Over 125 million nucleotides from the genome of 67,280 influenza strains, spanning 100 years and all continents.
Tools: Over 2,500 lines of custom developed computer code in BioPython and online bioinformatics tools such as Clustal/Ω and RAxML.
Output: 1) Antigenicity Prediction Model that supplements Hemagglutinin Inhibition (HI) Assay for predicting the effectiveness of a vaccine.
2) The antigenic drift of the current A/California/07/2009 vaccine.
Please check back, this page is being updated to include recent work
This website is currently tracking the H1N1pdm strain of the influenza virus. Extending the project to other three strains of the quadrivalent vaccine recommended by the World Health Organimzation, namely, H3N2, B/Victoria and B/Yamagata are works-in-progress.
2017-09-05: According to the WHO Weekly Report dated 04 Sep 2017, Type A influenza (H1N1pdm and H3N2) continues to dominate the flu sickness with 89.2% of the reported cases. FutureFlu is extending the Prediction Model to H3N2, with emphasis on epitopes A-E in the H1 HA molecule? More ...
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