Systematic PTM Knowledge Extraction in Alzheimer's Disease
Official title: Systematic PTM Knowledge Extraction and Evidence Quality Assessment in Alzheimer's Disease Research
Funded at University of New Mexico Health Scis Ctr · NIH-11442757 · Data updated 2026-11-12
A research project will automatically pull out important protein modification details from scientific papers to better understand Alzheimer’s disease in people.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of New Mexico Health Scis Ctr NIH-funded |
| Lab location | 1 site (Albuquerque, United States) |
| Project start | September 10, 2026 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $398,050 |
| NIH project number | 1R21AG104819-01 |
| Project ID | NIH-11442757 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are individuals with Alzheimer’s disease or at-risk individuals whose disease biology could be better understood by future-targeted therapies.
✕Less likely to help
Patients without access to advanced proteomics or research participation may not directly benefit from this project.
What this research studies
This project uses computer tools to read a large number of full-text papers about Alzheimer’s disease and extract how post-translational modifications relate to disease mechanisms. It will build a knowledge graph that links brain regions, disease stages, and experimental models to specific modification events like phosphorylation and acetylation. It also introduces PTMQual, a quality framework that helps scientists judge which PTM findings are most reliable. The aim is to speed up discovery of robust, mechanistic targets that could eventually guide therapies. The work integrates lessons from oncology text-mining to AD, adapting them to patient-relevant biology.
Why it matters
Potential benefit: If successful, this could accelerate discovery of reliable targets for disease-modifying therapies in Alzheimer’s disease.
How similar studies have gone: Automated text-mining systems in other fields have improved target discovery and data quality for disease mechanisms.
Where this research is happening
-
University of New Mexico Health Scis Ctr
Albuquerque, United States Active
Researchers
- Principal investigator: Malec, Scott Alexander — University of New Mexico Health Scis Ctr
- Study coordinator: Malec, Scott Alexander
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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.