Developing a platform to improve chemical screening for drug discovery
Official title: A Machine Learning Platform for Adaptive Chemical Screening
Funded at Morgridge Institute for Research, INC. · NIH-10894009 · Data updated 2026-11-12
This study is working on a new computer system that helps scientists quickly find and test new medicines by searching through huge collections of chemical compounds, making it easier and cheaper for labs to discover better treatments for patients like you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Morgridge Institute for Research, INC. NIH-funded |
| Lab location | 1 site (Madison, United States) |
| Project start | September 14, 2020 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $413,651 |
| NIH project number | 5R01GM135631-05 |
| Project ID | NIH-10894009 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include individuals with conditions that currently lack effective treatments or where new drug development is urgently needed.
✕Less likely to help
Patients with well-established treatments for their conditions may not see direct benefits from this research.
What this research studies
This research focuses on creating a computational platform that enhances the process of chemical screening used in drug discovery. By utilizing advanced machine learning techniques, the platform will analyze vast virtual chemical libraries containing billions of compounds to identify promising candidates for further testing. This approach aims to make high-throughput screening more accessible and cost-effective for academic labs, ultimately improving the quality and diversity of potential drug compounds. Patients may benefit from faster and more efficient drug discovery processes that could lead to new treatments.
Why it matters
Potential benefit: If successful, this research could significantly accelerate the discovery of new drugs, leading to more effective treatments for various diseases.
How similar studies have gone: Other research has shown success in using computational tools for drug discovery, indicating that this approach has the potential for significant advancements.
Where this research is happening
-
Morgridge Institute for Research, INC.
Madison, United States Active
Researchers
- Principal investigator: Gitter, Anthony James — Morgridge Institute for Research, INC.
- Study coordinator: Gitter, Anthony James
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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.