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Computational Structural Analysis Predicts Host-Range Promiscuity and Antiviral Resistance in North American H5N1
Sayal Guirales-Medrano1,2, Kary Ocaña3,4, Khaled Obeid1,2
1Center for Computational Intelligence to Predict Health and Environmental Risks (CIPHER), University of North Carolina at Charlotte, Charlotte, NC, USA.
Computational and Structural Biotechnology Journal
|May 11, 2026
Summary
The H5N1 influenza A virus is spreading in North America, infecting birds, mammals, and humans. This adaptable virus evades immune systems and shows potential drug resistance, causing an animal pandemic.
Area of Science:
- Virology
- Molecular Biology
- Epidemiology
Background:
- Influenza A virus H5N1 (clade 2.3.4.4b) has a long history in Eurasian birds but sporadic human infections.
- Recent H5N1 outbreaks in North America have affected numerous bird and mammal species, with documented human cases and fatalities.
Purpose of the Study:
- To investigate the circulation and host adaptation of H5N1 in North America.
- To understand the molecular mechanisms behind H5N1's expanded host range and immune evasion.
Main Methods:
- Time-series analysis to identify seasonal patterns.
- Molecular phylogenetics to track viral lineages.
- Structural biology to analyze protein interactions.
Main Results:
- H5N1 exhibits a seasonal pattern in the US (November-April) with increased cases since 2021.
- Two distinct H5N1 lineages are circulating in North America, possessing broad host-binding capabilities.
- Enhanced binding to host immune proteins by viral polymerase basic 2 protein facilitates replication and immune evasion.
Conclusions:
- H5N1 is undergoing an animal pandemic due to its promiscuous host range and enhanced immune evasion.
- Most antivirals remain effective, but a fatal human isolate showed reduced susceptibility to some drugs.
- Continued surveillance and research are crucial for managing H5N1 spread and adaptation.
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