Improving the stability and function of proteins using AI and experimental testing
Engineering Enzymes for Improved Stability and Retained Function via Rapid Design-Build-Test-Learn Cycles integrating AI/Physics based predictions with Cell-free Protein Synthesis Experimental Testing
This study is exploring new ways to make important proteins used in cancer tests and treatments more stable and effective, using smart computer techniques to help design and test them quickly.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham Young University NIH-funded |
| Lab location | 1 site (Provo, United States) |
| Project ID | NIH-10973759 on NIH RePORTER |
What this research studies
This research focuses on enhancing the stability and functionality of therapeutic and diagnostic proteins by utilizing advanced AI techniques and experimental methods. By integrating AI-based predictions with cell-free protein synthesis, the project aims to rapidly design, build, test, and learn from various protein sequences. The goal is to identify mutations that improve protein stability while retaining their essential functions, specifically targeting proteins like NanoLuc and Onconase that are crucial for cancer diagnostics and treatment.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with cancers that could benefit from improved therapeutic proteins or those requiring advanced diagnostic methods.
Not a fit: Patients who do not have cancer or do not require protein-based therapies or diagnostics may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and stable cancer therapies and diagnostic tools for patients.
How similar studies have performed: Other research has shown success in using AI for protein engineering, indicating that this approach has potential for significant advancements.
Where this research is happening
Provo, United States
- Brigham Young University — Provo, United States (Active)
Researchers
- Principal investigator: Della Corte, Dennis — Brigham Young University
- Study coordinator: Della Corte, Dennis
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.