Multi-Resolution Docking Tools for Cryo-EM Structures
Official title: Multi-Resolution Docking Methods for Electron Microscopy
Funded at Old Dominion University · NIH-11392502 · Data updated 2026-11-12
A research project to improve computational methods for fitting atomic models into cryo-EM and cryo-ET maps, helping scientists understand complex cellular machinery.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Old Dominion University NIH-funded |
| Lab location | 1 site (Norfolk, United States) |
| Project start | September 15, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $395,754 |
| NIH project number | 5R35GM153431-03 |
| Project ID | NIH-11392502 on NIH RePORTER |
Who could benefit from this research
✓Could help
Researchers and clinicians who work with cryo-EM/cryo-ET data and need accurate atomic models of macromolecular assemblies.
✕Less likely to help
This grant does not involve direct patient participation or clinical interventions.
What this research studies
This project aims to advance how we build and validate atomic models from cryo-EM data, including tomography for looking at cells and tissues. It will develop and test multi-scale docking and modeling approaches that integrate deep learning predictions with experimental maps. The work involves rigorous benchmarking to ensure models fit well into local density and reflect true biological structure. The ultimate goal is to provide reliable tools that can help researchers interpret complex cellular assemblies in health and disease. Participants would benefit from clearer structural insights that could guide future experiments and therapies.
Why it matters
Potential benefit: If successful, patients could benefit indirectly through faster and more accurate understanding of disease-related structures, potentially guiding drug design and targeted therapies.
How similar studies have gone: Related modeling and validation approaches have shown improvements in model accuracy when integrating cryo-EM data with predictive structures like AlphaFold.
Where this research is happening
-
Old Dominion University
Norfolk, United States Active
Researchers
- Principal investigator: Wriggers, Willy R — Old Dominion University
- Study coordinator: Wriggers, Willy R
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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.