Using machine learning to understand how proteins interact in the immune system
Official title: Machine Learning Models for Studying Protein Interactions in the Context of Immune Receptors
Funded at Arizona State University-Tempe Campus · NIH-11131015 · Data updated 2026-11-12
This study is exploring how proteins work together in our bodies, which is important for understanding diseases like cancer and infections, and it aims to create better treatments and tests for patients by using smart computer techniques to predict these interactions.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Arizona State University-Tempe Campus NIH-funded |
| Lab location | 1 site (Tempe, United States) |
| Project start | July 10, 2024 |
| Project end | May 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $365,874 |
| NIH project number | 5R35GM155417-02 |
| Project ID | NIH-11131015 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals affected by cancers or infectious diseases where protein interactions play a significant role.
✕Less likely to help
Patients with conditions unrelated to protein interactions or those not affected by cancers or infectious diseases may not benefit from this research.
What this research studies
This research focuses on how proteins interact with each other, which is crucial for many cellular functions and can impact diseases like cancer and infections. By utilizing advanced algorithms and machine learning techniques, the project aims to predict protein interactions and develop new therapeutic molecules and diagnostic tools. Patients may benefit from improved treatments and diagnostics that arise from a better understanding of these interactions. The research combines biological sequence analysis and structural biology to enhance our knowledge of cellular processes.
Why it matters
Potential benefit: If successful, this research could lead to the development of new therapies and diagnostic tools for various diseases.
How similar studies have gone: Other research has shown success in using computational methods and machine learning to predict protein interactions, indicating a promising approach.
Where this research is happening
-
Arizona State University-Tempe Campus
Tempe, United States Active
Researchers
- Principal investigator: Lee, Heewook — Arizona State University-Tempe Campus
- Study coordinator: Lee, Heewook
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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.