Developing advanced simulation tools for studying molecular interactions
Official title: A next-generation extendable simulation environment for affordable, accurate, and efficient free energy simulations
Funded at Rutgers, the State Univ of N.j. · NIH-11058537 · Data updated 2026-11-12
This study is working on a new computer program that helps scientists better understand how proteins interact with potential drugs, which could lead to the development of new medicines and treatments for patients like you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rutgers, the State Univ of N.j. NIH-funded |
| Lab location | 1 site (Piscataway, United States) |
| Project start | June 6, 2023 |
| Project end | March 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $314,000 |
| NIH project number | 5R01GM149874-03 |
| Project ID | NIH-11058537 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include individuals with conditions that require new drug therapies, particularly those related to protein interactions.
✕Less likely to help
Patients with conditions that are not influenced by molecular interactions or drug therapies may not receive any benefit from this research.
What this research studies
This research focuses on creating a next-generation simulation environment that enhances the accuracy and efficiency of free energy simulations, which are crucial for understanding molecular interactions. By utilizing advanced algorithms and high-performance computing, the project aims to improve drug discovery processes by predicting how proteins bind with potential drug molecules. The research will integrate various simulation software to provide a comprehensive tool for scientists in fields like biomaterials and protein engineering. Patients may benefit indirectly through the development of new drugs and therapies that arise from these simulations.
Why it matters
Potential benefit: If successful, this research could lead to more effective and targeted drug therapies for various diseases.
How similar studies have gone: Previous research has shown success in using advanced simulation techniques for drug discovery, indicating that this approach is promising and builds on established methodologies.
Where this research is happening
-
Rutgers, the State Univ of N.j.
Piscataway, United States Active
Researchers
- Principal investigator: Lee, Tai-Sung — Rutgers, the State Univ of N.j.
- Study coordinator: Lee, Tai-Sung
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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.