Predicting antibody sequences to fight new viruses quickly
Rapid response for pandemics: single cell sequencing and deep learning to predict antibody sequences against an emerging antigen
This study is working on a quick way to find new antibodies that can fight off viruses, which could help create treatments faster during outbreaks, making it easier for patients to get the care they need.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Keck Graduate Inst of Applied Life Scis NIH-funded |
| Lab location | 1 site (Claremont, United States) |
| Project ID | NIH-10274223 on NIH RePORTER |
What this research studies
This research focuses on developing a method to rapidly predict antibody sequences that can effectively bind to new viral proteins. By utilizing advanced deep learning techniques and analyzing structural features of antigens, the project aims to generate potential antibody candidates within 24 hours of identifying a new virus. Patients may benefit from this research as it could lead to faster development of effective treatments during pandemics. The approach involves extensive computational modeling and data analysis to enhance our understanding of immune responses.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who may be at risk for infections from newly emerging viruses.
Not a fit: Patients with chronic conditions unrelated to viral infections may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could significantly speed up the development of effective antibody treatments for emerging viral infections.
How similar studies have performed: Other research has shown promise in using computational methods for antibody prediction, but this specific approach is innovative and largely untested.
Where this research is happening
Claremont, United States
- Keck Graduate Inst of Applied Life Scis — Claremont, United States (Active)
Researchers
- Principal investigator: Ray, Animesh — Keck Graduate Inst of Applied Life Scis
- Study coordinator: Ray, Animesh
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 below.