# QUANTUM SIMULATION TECHNOLOGIES, INC.: Binding free energy predictions for peptide drugs: A novel machine learning-based peptide simulation model for high-throughput computational lead optimization with quantum mechanical accuracy.

**Lab Budget Score:** 70/100

| Field | Value |
|---|---|
| Organization | QUANTUM SIMULATION TECHNOLOGIES, INC. |
| Location | Boston, MA |
| Project | Binding free energy predictions for peptide drugs: A novel machine learning-based peptide simulation model for high-throughput computational lead optimization with quantum mechanical accuracy. |
| Project number | 2R44GM152994-02 |
| Mechanism | R44 |
| Institute | National Institute of General Medical Sciences |
| Award | $1,022,908 |
| Awarded | 2026-09-01 |
| Project period | 2024-01-01 to 2028-08-31 |
| UEI | XH9CRG6SG987 |

## Why this score
- Award of $1M or more.
- Research or center grant: supplies, instruments and services budget.

Source: NIH RePORTER (newly awarded projects) (https://reporter.nih.gov/project-details/11408484). Last refreshed: 2026-11-04T21:37:56.465Z.
Award data comes from NIH RePORTER and may be revised by NIH. Organization-level only; investigator names and contacts are not included. Informational only.