A framework for advanced biomolecular modeling and simulation using machine learning.
OpenMM: Scalable biomolecular modeling, simulation, and machine learning
This study is working on making a popular tool for studying proteins and diseases even better by using smart computer techniques, which could help doctors develop new drugs and treatments that are more tailored to individual patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-10810805 on NIH RePORTER |
What this research studies
This research focuses on enhancing OpenMM, a widely-used open-source framework for biomolecular modeling and simulation. By integrating machine learning techniques and GPU acceleration, the project aims to improve the accuracy and efficiency of simulations that can probe complex biological questions. Patients may benefit from advancements in drug development and personalized medicine as the framework supports large-scale studies of disease proteins and therapeutic interventions. The research will also facilitate the creation of new machine learning models to analyze vast datasets of molecular interactions.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include individuals with diseases that are being targeted for new therapeutic approaches through advanced biomolecular modeling.
Not a fit: Patients with conditions that are not related to the biological questions being addressed by the modeling efforts may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective drug development and personalized treatment options for patients.
How similar studies have performed: Other research has shown success with similar approaches in biomolecular modeling and machine learning, indicating a promising potential for this project.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Markland, Thomas Edward — Stanford University
- Study coordinator: Markland, Thomas Edward
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 below.