Using chemical biology and machine learning to create consistent amyloid fibrils
Official title: Combining Chemical Biology and Machine Learning to Generate Reproducible Amyloid Fibrils
Funded at University of Pennsylvania · NIH-10996436 · Data updated 2026-11-12
This study is looking at how certain protein clumps related to Alzheimer's disease form and behave, using advanced techniques to help us understand them better, which could lead to improved ways to diagnose and treat the condition for patients.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | September 5, 2024 |
| Project end | September 4, 2025 |
| Funding year | 2024 |
| Award (this year) | $45,304 |
| NIH project number | 1F31AG090063-01 |
| Project ID | NIH-10996436 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with Alzheimer's disease or related dementias.
✕Less likely to help
Patients with non-neurological conditions or those without a diagnosis of Alzheimer's disease or related dementias may not benefit from this research.
What this research studies
This research focuses on understanding and generating amyloid fibrils, which are protein clumps associated with Alzheimer's disease and related dementias. By combining chemical biology techniques with machine learning, the project aims to create reproducible models of these fibrils, which are crucial for studying their effects on brain health. The research will explore how different conditions affect the formation of these fibrils, providing insights that could lead to better diagnostic and therapeutic strategies for patients. The University of Pennsylvania's expertise in chemistry and biophysics will support this innovative approach.
Why it matters
Potential benefit: If successful, this research could lead to improved methods for diagnosing and treating Alzheimer's disease and related dementias.
How similar studies have gone: Previous research has shown promise in using chemical biology and machine learning to study protein aggregation, suggesting potential success for this approach.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Perez, Ryann Michael — University of Pennsylvania
- Study coordinator: Perez, Ryann Michael
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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.