Open AccessMachine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine
Author(s) -
Michael A. Zeller,
Phillip C. Gauger,
Zebulun Arendsee,
Carine K. Souza,
Amy L. Vincent,
Tavis K. Anderson
Publication year - 2021
Publication title -
msphere
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.749
H-Index - 39
ISSN - 2379-5042
DOI - 10.1128/msphere.00920-20
Subject(s) - biology , hemagglutinin (influenza) , influenza a virus , virology , antigenic drift , computational biology , genetics , virus
Influenza A viruses (IAV) in swine constitute a major economic burden to an important global agricultural sector, impact food security, and are a public health threat. Despite significant improvement in surveillance for IAV in swine over the past 10 years, sequence data have not been integrated into a systematic vaccine strain selection process for predicting antigenic phenotype and identifying determinants of antigenic drift.