Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine

Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine

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 inte...

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Main Authors: Michael A. Zeller, Phillip C. Gauger, Zebulun W. Arendsee, Carine K. Souza, Amy L. Vincent, Tavis K. Anderson
Format: Article
Language:English
Published: American Society for Microbiology 2021-04-01
Series:mSphere
Online Access:https://journals.asm.org/doi/10.1128/mSphere.00920-20
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spelling doaj-0fbfb1244cf146449e6537daa8e1f8232021-09-21T20:34:55ZengAmerican Society for MicrobiologymSphere2379-50422021-04-016210.1128/mSphere.00920-20Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in SwineMichael A. Zeller0https://orcid.org/0000-0001-5505-6931Phillip C. Gauger1https://orcid.org/0000-0003-2540-8769Zebulun W. Arendsee2https://orcid.org/0000-0002-5833-798XCarine K. Souza3Amy L. Vincent4https://orcid.org/0000-0002-4953-7285Tavis K. Anderson5https://orcid.org/0000-0002-3138-5535Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, USADepartment of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, USAVirus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, Iowa, USAVirus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, Iowa, USAVirus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, Iowa, USAVirus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, Iowa, USA 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.https://journals.asm.org/doi/10.1128/mSphere.00920-20
collection DOAJ
language English
format Article
sources DOAJ
author Michael A. Zeller
Phillip C. Gauger
Zebulun W. Arendsee
Carine K. Souza
Amy L. Vincent
Tavis K. Anderson
spellingShingle Michael A. Zeller
Phillip C. Gauger
Zebulun W. Arendsee
Carine K. Souza
Amy L. Vincent
Tavis K. Anderson
Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine
mSphere
author_facet Michael A. Zeller
Phillip C. Gauger
Zebulun W. Arendsee
Carine K. Souza
Amy L. Vincent
Tavis K. Anderson
author_sort Michael A. Zeller
title Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine
title_short Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine
title_full Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine
title_fullStr Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine
title_full_unstemmed Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine
title_sort machine learning prediction and experimental validation of antigenic drift in h3 influenza a viruses in swine
publisher American Society for Microbiology
series mSphere
issn 2379-5042
publishDate 2021-04-01
description 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.
url https://journals.asm.org/doi/10.1128/mSphere.00920-20
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