Computational tools to boost biomolecular NMR for disease research
Official title: Computational and Data Science Approaches to Enhance Biomolecular NMR
Funded at University of Connecticut Sch of Med/dnt · NIH-11529082 · Data updated 2026-11-12
A grant to build and share computer tools that make biomolecular NMR easier to use for studying diseases and related biomolecules.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Connecticut Sch of Med/dnt NIH-funded |
| Lab location | 1 site (Farmington, United States) |
| Project start | September 1, 2025 |
| Project end | July 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $51,214 |
| NIH project number | 3R35GM158031-02S1 |
| Project ID | NIH-11529082 on NIH RePORTER |
Who could benefit from this research
✓Could help
Researchers and clinicians working on diseases where biomolecular interactions and metabolites are important could participate indirectly, for example by using enhanced tools and data resources.
✕Less likely to help
This grant does not directly recruit patients or involve patient care activities.
What this research studies
This project develops new computational methods and software to enhance how NMR can be used to study disease-related biomolecules, including complex mixtures and disordered structures. It will improve sensitivity, resolution, and reproducibility, and make workflows easier to implement and share. The effort leverages the Biological Magnetic Resonance Data Bank and the NMRbox platform to provide broad access to analysis tools and data. Emphasis is on understanding dynamics and disorder in biological macromolecules and on quantitative analysis of small-molecule mixtures for metabolomics, drug discovery, and biomarker work.
Why it matters
Potential benefit: If successful, patients could benefit from faster, more accurate biomarker discovery and drug development driven by advanced NMR analyses.
How similar studies have gone: Previous efforts combining NMR data sharing with computational platforms have improved data analysis and reproducibility in biomolecular research.
Where this research is happening
-
University of Connecticut Sch of Med/dnt
Farmington, United States Active
Researchers
- Principal investigator: Hoch, Jeffrey C — University of Connecticut Sch of Med/dnt
- Study coordinator: Hoch, Jeffrey C
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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.