Developing vaccines to prevent future pandemics from certain viruses
Official title: Antibody, Epitope and Machine Learning Core
Funded at University of California-Irvine · NIH-10863341 · Data updated 2026-11-12
This study is working on developing new vaccines to protect us from future viruses that could cause pandemics, using smart computer techniques to understand how these viruses might change and how our immune system can fight them.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California-Irvine NIH-funded |
| Lab location | 1 site (Irvine, United States) |
| Project start | August 20, 2024 |
| Project end | July 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $4,054,931 |
| NIH project number | 1U19AI181968-01 |
| Project ID | NIH-10863341 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at risk of exposure to emerging viral infections or those interested in contributing to vaccine development efforts.
✕Less likely to help
Patients who are not at risk for viral infections or those who do not wish to participate in vaccine-related research may not benefit from this research.
What this research studies
This research focuses on creating vaccine candidates against viruses that could cause future pandemics, specifically from the bunyavirus, paramyxovirus, and picornavirus families. It employs advanced computational techniques and machine learning to identify and map viral epitopes, which are crucial for vaccine and antibody design. By predicting how these viruses may evolve and how the immune system responds to them, the project aims to enhance the effectiveness of vaccines and antibodies. This work will also provide essential tools for tracking viral evolution and improving public health responses.
Why it matters
Potential benefit: If successful, this research could lead to the development of effective vaccines that prevent future viral pandemics, ultimately saving lives.
How similar studies have gone: Other research has shown promise in using machine learning and epitope mapping for vaccine development, indicating a strong potential for success in this approach.
Where this research is happening
-
University of California-Irvine
Irvine, United States Active
Researchers
- Principal investigator: Liu, Chang C — University of California-Irvine
- Study coordinator: Liu, Chang C
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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.