Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine
oleh: Michael A. Zeller, Phillip C. Gauger, Zebulun W. Arendsee, Carine K. Souza, Amy L. Vincent, Tavis K. Anderson
| Format: | Article |
|---|---|
| Diterbitkan: | American Society for Microbiology 2021-04-01 |
Deskripsi
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.