Developing advanced tools for designing covalent drugs
Official title: EnzyDock-based Multistate and Multiscale Tools for Covalent Drug Design
Funded at University of Texas Arlington · NIH-10756568 · Data updated 2026-11-12
This study is working on new computer tools to help create better medicines that can more accurately target specific problems in the body, which means patients could get safer and more effective treatments with fewer side effects.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas Arlington NIH-funded |
| Lab location | 1 site (Arlington, United States) |
| Project start | January 1, 2023 |
| Project end | November 30, 2025 |
| Funding year | 2024 |
| Award (this year) | $162,009 |
| NIH project number | 5R21GM148895-02 |
| Project ID | NIH-10756568 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who may benefit from new covalent drug therapies for their specific health conditions.
✕Less likely to help
Patients who do not have conditions that could be treated with covalent drugs may not receive any benefit from this research.
What this research studies
This research focuses on creating innovative computational tools to design covalent drugs that can effectively target biological molecules. By integrating advanced quantum mechanical and molecular mechanical methods with existing docking platforms, the project aims to improve the accuracy of predicting how these drugs interact with their targets. This approach will help address issues related to off-target effects and toxicity, making drug design safer and more effective. Patients may benefit from new medications that are more precisely designed to treat their conditions with fewer side effects.
Why it matters
Potential benefit: If successful, this research could lead to the development of safer and more effective covalent drugs for various medical conditions.
How similar studies have gone: Other research has shown promise in using computational methods for drug design, indicating that this approach could lead to significant advancements.
Where this research is happening
-
University of Texas Arlington
Arlington, United States Active
Researchers
- Principal investigator: Nam, Kwangho — University of Texas Arlington
- Study coordinator: Nam, Kwangho
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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.