Examining the Influenza A Virus Sialic Acid Binding Preference Predictions of a Sequence‐Based Convolutional Neural Network
Ultimately, our results provide support to this in silico approach to hemagglutinin receptor binding preference prediction. This work emphasizes the need for ongoing research efforts to produce tools that may aid future pandemic risk assessment.
Authors
- Jonathan A. Runstadler (ORCID: https://orcid.org/0000-0002-6747-7765)
- Laura K. Borkenhagen (ORCID: https://orcid.org/0000-0002-5619-2609)
Institutions
- Tufts University (US)
Publication Details
- Journal
- Influenza and Other Respiratory Viruses
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1111/irv.70044
- Citations
- 2
- Primary Topic
- Influenza Virus Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- U.S. Department of Agriculture
- Ohio State University
- Emory University
- University of Wisconsin-Madison
- University of Missouri
- Johns Hopkins University
- University of Rochester
- Iowa State University
- National Institutes of Health
- U.S. Geological Survey
- Animal and Plant Health Inspection Service
- Medical Center, University of Rochester
- National Institute of Allergy and Infectious Diseases