Using deep learning to predict how T cells recognize cancer targets
Applying deep learning to predict T cell receptor binding specificity of neoantigens and response to checkpoint inhibitors
This study is exploring how T cells, which help fight cancer, recognize special markers on cancer cells, and it aims to use smart computer techniques to find out which markers can best activate these T cells to improve cancer treatments for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ut Southwestern Medical Center NIH-funded |
| Lab location | 1 site (Dallas, United States) |
| Project ID | NIH-11072125 on NIH RePORTER |
What this research studies
This research focuses on understanding how T cells recognize neoantigens, which are unique markers on cancer cells. By applying advanced deep learning techniques, the project aims to predict which neoantigens can effectively trigger T cell responses and how these responses relate to cancer treatments known as checkpoint inhibitors. The study will develop models that can analyze neoantigen data to improve the effectiveness of immunotherapy for cancer patients. This approach seeks to fill gaps in current knowledge about T cell receptor binding and the immunogenicity of neoantigens.
Who could benefit from this research
Good fit: Ideal candidates for this research are cancer patients who are being considered for immunotherapy treatments.
Not a fit: Patients with cancers that do not express neoantigens or those not eligible for immunotherapy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective cancer immunotherapies for patients.
How similar studies have performed: Previous research has shown promise in using computational models to predict immune responses, suggesting that this approach could yield significant advancements.
Where this research is happening
Dallas, United States
- Ut Southwestern Medical Center — Dallas, United States (Active)
Researchers
- Principal investigator: Wang, Tao — Ut Southwestern Medical Center
- Study coordinator: Wang, Tao
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.