Understanding how proteins evolve and function together
Official title: Leveraging machine learning and evolution to navigate sequence-function landscapes in multidomain proteins
Funded at University of California Berkeley · NIH-10993593 · Data updated 2026-11-12
This study is exploring how different sections of a specific bacterial protein work together and affect each other, which could help us create better synthetic proteins for various uses.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Berkeley NIH-funded |
| Lab location | 1 site (Berkeley, United States) |
| Project start | December 1, 2023 |
| Project end | November 30, 2025 |
| Funding year | 2025 |
| Award (this year) | $113,368 |
| NIH project number | 5K99GM152766-02 |
| Project ID | NIH-10993593 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with conditions related to protein dysfunction or those who may benefit from engineered proteins, such as patients with metabolic disorders.
✕Less likely to help
Patients with conditions unrelated to protein function or those not requiring protein-based therapies may not benefit from this research.
What this research studies
This research investigates how different parts of proteins interact and influence each other's functions, particularly in complex proteins made up of multiple domains. By combining advanced computational techniques with experimental methods, the project aims to uncover the mechanisms of allostery, which is how the activity of one part of a protein can affect another part. The research will focus on a specific bacterial protein that transports protons and produces bicarbonate, using innovative approaches to map the relationship between protein sequences and their functions. This could lead to better design and engineering of synthetic proteins for various applications.
Why it matters
Potential benefit: If successful, this research could enhance our understanding of protein functions and lead to the development of new therapeutic proteins.
How similar studies have gone: Previous research has shown promising results in understanding protein interactions and engineering proteins, indicating that this approach has potential for success.
Where this research is happening
-
University of California Berkeley
Berkeley, United States Active
Researchers
- Principal investigator: Koehl, Antoine — University of California Berkeley
- Study coordinator: Koehl, Antoine
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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.