Creating advanced computer tools for studying biological processes
Official title: Computational infrastructure for biomedically-driven simulation and modeling
Funded at University of Michigan at Ann Arbor · NIH-10632534 · Data updated 2026-11-12
This study is working on using advanced computer techniques to better understand how important biological processes happen in our bodies, like how RNA works and how cells make proteins, which could help create more effective medicines for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | July 15, 2023 |
| Project end | July 14, 2025 |
| Funding year | 2023 |
| Award (this year) | $592,628 |
| NIH project number | 1S10OD034346-01 |
| Project ID | NIH-10632534 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals with conditions related to RNA dynamics or those requiring targeted pharmaceutical interventions.
✕Less likely to help
Patients with conditions unrelated to the biochemical processes being studied may not receive direct benefits from this research.
What this research studies
This research focuses on developing computational infrastructure that enhances simulations and modeling of important biological processes, such as RNA dynamics and the functioning of cellular machinery like ribosomes. By utilizing advanced computational techniques, including quantum chemistry and machine learning, the project aims to improve our understanding of biochemical interactions and aid in the design of new pharmaceuticals. Patients may benefit from the insights gained through these simulations, which could lead to better-targeted treatments and therapies. The collaborative approach between modeling and experimental research ensures that findings are relevant and applicable to real-world biomedical challenges.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments and therapies for various diseases by improving our understanding of biological processes.
How similar studies have gone: Previous research has shown success in using computational modeling to advance our understanding of biochemical processes, indicating that this approach is both promising and tested.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Brooks, Charles L — University of Michigan at Ann Arbor
- Study coordinator: Brooks, Charles L
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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.