Developing new methods to create important sulfur-based drugs using data science
Official title: Generality-Oriented Development of Novel Methods for the Synthesis of Enantioenriched Sulfondiimines Using Data Science
Funded at University of Utah · NIH-11071256 · Data updated 2026-11-12
This study is working on making a special type of compound that could help create better and safer cancer treatments, using smart technology to improve how these compounds are made, which could lead to more effective options for patients like you.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Utah NIH-funded |
| Lab location | 1 site (Salt Lake City, United States) |
| Project start | February 2, 2025 |
| Project end | February 1, 2028 |
| Funding year | 2025 |
| Award (this year) | $73,408 |
| NIH project number | 1F32GM157872-01 |
| Project ID | NIH-11071256 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with cancer who may benefit from new anti-cancer therapies.
✕Less likely to help
Patients who do not have cancer or are not seeking new treatment options may not benefit from this research.
What this research studies
This research focuses on improving the synthesis of sulfondiimines, which are sulfur-containing compounds crucial for developing effective anti-cancer drugs. By utilizing data science and computational chemistry, the project aims to optimize the synthesis process, making it more efficient and selective for specific drug forms. Patients may benefit from the development of safer and more effective cancer treatments as a result of these advancements. The research will explore general conditions that can be applied to various compounds, enhancing the overall drug development process.
Why it matters
Potential benefit: If successful, this research could lead to the creation of safer and more effective anti-cancer medications.
How similar studies have gone: Other research has shown promise in using data science for drug synthesis, indicating potential success for this approach.
Where this research is happening
-
University of Utah
Salt Lake City, United States Active
Researchers
- Principal investigator: Slocumb, Hannah — University of Utah
- Study coordinator: Slocumb, Hannah
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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.