Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Apr 28, 2021
- Source ID
- 10.1128/msphere.00920-20
Entities
People
- Amy L Vincent
- Carine K. Souza
- Michael A. Zeller
- Phillip C Gauger
- Tavis K Anderson
- Zebulun Arendsee
Organizations
- Agricultural Research Service
- Iowa State University
- National Institute of Allergy and Infectious Diseases
- United States Department of Energy