The H5N1 Escape Playbook: From Computational Prediction to Pandemic Preparedness
Faculty Mentor Information
Dr. Jagdish Patel, University of Idaho
Presentation Date
7-15-2026
Abstract
Highly pathogenic H5N1 bird flu continues to pose an escalating pandemic threat, with cases spreading across wildlife and recently to dairy cattle and humans. A critical barrier to this virus's ability to infect humans is MxA, a cellular protein that acts as a molecular sentinel, recognizing and incapacitating viral particles before they can replicate. Yet despite decades of research, we remain blind to the precise molecular details of how MxA in humans catches and stops H5N1. Without this knowledge, we cannot predict which mutations might allow the virus to slip through our defenses or how we might engineer better countermeasures.
We mapped the molecular interaction between H5N1 nucleoprotein (the viral target) and MxA's binding domain using computational modeling and simulations. We first predicted the three-dimensional structure of this complex using AlphaFold3, then subjected it to 200 nanoseconds of molecular dynamics simulations to capture realistic binding behavior. From these simulations, we extracted representative structural snapshots and used FoldX to systematically test thousands of potential mutations both in the virus and in our host protein to identify which changes weaken the interaction (viral escape routes) and which strengthen it (potential therapeutic improvements).
Our analysis revealed specific mutations that allow H5N1 to evade MxA-mediated restriction, as well as mutations in MxA itself that could enhance its antiviral potency. Importantly, several predicted mutations showed striking overlap with known escape variants documented in nature, validating our approach. These findings have direct implications: the escape mutations we identified can inform surveillance efforts to catch dangerous variants before they spread, while the strengthening mutations provide a rational framework for designing next-generation antivirals and engineered antibody therapeutics. By revealing how viruses and our immune system are locked in molecular combat, this work bridges computational prediction and biological reality, offering actionable insights for pandemic preparedness.
Sources:
CDC. “Types of Influenza Viruses.” Influenza (Flu), 2024, www.cdc.gov/flu/about/viruses-types.html.
The H5N1 Escape Playbook: From Computational Prediction to Pandemic Preparedness
Highly pathogenic H5N1 bird flu continues to pose an escalating pandemic threat, with cases spreading across wildlife and recently to dairy cattle and humans. A critical barrier to this virus's ability to infect humans is MxA, a cellular protein that acts as a molecular sentinel, recognizing and incapacitating viral particles before they can replicate. Yet despite decades of research, we remain blind to the precise molecular details of how MxA in humans catches and stops H5N1. Without this knowledge, we cannot predict which mutations might allow the virus to slip through our defenses or how we might engineer better countermeasures.
We mapped the molecular interaction between H5N1 nucleoprotein (the viral target) and MxA's binding domain using computational modeling and simulations. We first predicted the three-dimensional structure of this complex using AlphaFold3, then subjected it to 200 nanoseconds of molecular dynamics simulations to capture realistic binding behavior. From these simulations, we extracted representative structural snapshots and used FoldX to systematically test thousands of potential mutations both in the virus and in our host protein to identify which changes weaken the interaction (viral escape routes) and which strengthen it (potential therapeutic improvements).
Our analysis revealed specific mutations that allow H5N1 to evade MxA-mediated restriction, as well as mutations in MxA itself that could enhance its antiviral potency. Importantly, several predicted mutations showed striking overlap with known escape variants documented in nature, validating our approach. These findings have direct implications: the escape mutations we identified can inform surveillance efforts to catch dangerous variants before they spread, while the strengthening mutations provide a rational framework for designing next-generation antivirals and engineered antibody therapeutics. By revealing how viruses and our immune system are locked in molecular combat, this work bridges computational prediction and biological reality, offering actionable insights for pandemic preparedness.
Sources:
CDC. “Types of Influenza Viruses.” Influenza (Flu), 2024, www.cdc.gov/flu/about/viruses-types.html.