Creating tools to predict immune responses based on individual differences
Official title: Development of computational tools for accounting for host variability in predicting T-cell epitopes
Funded at Auburn University at Auburn · NIH-10925183 · Data updated 2026-11-12
This study is working on new computer tools to help understand how our immune system spots germs, which could lead to better vaccines and treatments for allergies and cancer, taking into account that everyone’s body is a little different.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Auburn University at Auburn NIH-funded |
| Lab location | 1 site (Auburn, UNITED STATES) |
| Project start | September 1, 2022 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $372,451 |
| NIH project number | 5R35GM147164-03 |
| Project ID | NIH-10925183 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with allergies or cancers who may benefit from personalized immunotherapies.
✕Less likely to help
Patients with conditions unrelated to immune response or those who do not have genetic variability affecting immune recognition may not benefit from this research.
What this research studies
This research focuses on developing computational tools that can predict how the immune system recognizes specific parts of pathogens, known as epitopes. By accounting for individual genetic differences, the project aims to enhance the design of vaccines and treatments for conditions like allergies and cancer. The approach involves analyzing how antigens are processed in the body and how this varies among individuals, which is crucial for personalized medicine. The research also addresses the limitations of using animal models in predicting human immune responses.
Why it matters
Potential benefit: If successful, this research could lead to more effective vaccines and treatments tailored to individual patients' immune systems.
How similar studies have gone: Previous research has shown promise in using computational methods for predicting immune responses, indicating that this approach could lead to significant advancements.
Where this research is happening
-
Auburn University at Auburn
Auburn, United States Active
Researchers
- Principal investigator: Kieslich, Chris a. — Auburn University at Auburn
- Study coordinator: Kieslich, Chris 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.