Modeling how RNA viruses infect cells
Official title: In silico modeling of subcellular infection by diverse families of RNA virus
Funded at University of Virginia · NIH-11096076 · Data updated 2026-11-12
This study is looking at how certain viruses, like coxsackievirus B3 and dengue virus, invade our cells and multiply, using math to find their weaknesses and understand why people react differently to these infections, which could help us come up with better ways to prevent and treat viral illnesses.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Virginia NIH-funded |
| Lab location | 1 site (Charlottesville, United States) |
| Project start | May 28, 2024 |
| Project end | March 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $542,703 |
| NIH project number | 5R01AI186222-02 |
| Project ID | NIH-11096076 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who are at risk of infections from RNA viruses, such as those with weakened immune systems or those living in areas prone to outbreaks.
✕Less likely to help
Patients with non-RNA viral infections or those who are not at risk for viral infections may not benefit from this research.
What this research studies
This research investigates how different families of RNA viruses invade and replicate within human cells using advanced mathematical modeling techniques. By creating models that simulate the viral life cycle, the research aims to identify weaknesses in these viruses and understand variations in how different individuals may respond to infections. The study will focus on specific viruses like coxsackievirus B3 and dengue virus, comparing generic models to those tailored to specific virus families to enhance predictive accuracy. This approach could lead to better strategies for managing and preventing viral infections.
Why it matters
Potential benefit: If successful, this research could lead to improved methods for predicting and controlling RNA virus infections, ultimately enhancing patient care and treatment options.
How similar studies have gone: Previous research has shown promise in using mathematical modeling to understand viral infections, indicating that this approach could yield valuable insights.
Where this research is happening
-
University of Virginia
Charlottesville, United States Active
Researchers
- Principal investigator: Janes, Kevin a — University of Virginia
- Study coordinator: Janes, Kevin a
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.