Improving drug discovery using advanced computational methods.
Official title: Next generation free energy perturbation (FEP) calculations--enabled by a novel integration of quantum mechanics (QM) with molecular dynamics allowing a large QM region and no sampling compromises
Funded at Quantum Simulation Technologies, INC. · NIH-11007917 · Data updated 2026-11-12
This study is looking at new ways to find better medications faster by using advanced computer techniques to see how well different drug-like molecules connect with their targets, which could help patients get more effective treatments sooner.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Quantum Simulation Technologies, INC. NIH-funded |
| Lab location | 1 site (Boston, UNITED STATES) |
| Project start | April 1, 2023 |
| Project end | July 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $1,022,908 |
| NIH project number | 2R44GM150314-02 |
| Project ID | NIH-11007917 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research would be individuals with conditions that require new drug therapies, particularly those related to complex diseases.
✕Less likely to help
Patients who are not seeking new treatments or those with conditions that are already well-managed by existing therapies may not receive benefit from this research.
What this research studies
This research focuses on enhancing drug discovery processes by integrating quantum mechanics with molecular dynamics to improve free energy perturbation (FEP) calculations. By using advanced computational techniques, the project aims to more accurately evaluate how different drug-like molecules bind to their targets, which can significantly speed up the identification of effective drug candidates. Patients may benefit from faster development of new medications that are more effective and tailored to their conditions. The approach seeks to reduce reliance on traditional, time-consuming laboratory methods.
Why it matters
Potential benefit: If successful, this research could lead to faster and more efficient drug development, resulting in new treatments for patients.
How similar studies have gone: Previous research has shown success in using computational methods for drug discovery, but this specific integration of quantum mechanics with molecular dynamics is a novel approach.
Where this research is happening
-
Quantum Simulation Technologies, INC.
Boston, United States Active
Researchers
- Principal investigator: Pearlman, David a — Quantum Simulation Technologies, INC.
- Study coordinator: Pearlman, David a
Related research
Other NIH-funded projects on the same topics.
-
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A new AI-powered simulation platform aims to reliably predict how peptide drugs bind to targets, helping researchers design better therapies.
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.