Understanding complex biological systems for drug discovery
Official title: Learning How to Give Casual Explanations for Large Scale Virtual and Morphological Pharmacology
Funded at University of Michigan at Ann Arbor · NIH-10930857 · Data updated 2026-11-12
This study is all about finding better ways to discover new drugs by using advanced technology to closely look at how they work in complex biological systems, which could help create more effective treatments and save money by avoiding problems later on.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | September 20, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $381,484 |
| NIH project number | 5R35GM151129-02 |
| Project ID | NIH-10930857 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with conditions that require innovative drug therapies and those interested in participating in advanced drug discovery processes.
✕Less likely to help
Patients with conditions that are not being targeted by the specific drug discovery efforts of this research may not receive any benefit.
What this research studies
This research focuses on improving drug discovery by developing advanced statistical methods to analyze complex biological systems, such as 3D organoids and large-scale virtual screenings. By moving beyond traditional simple models, the research aims to better understand how drugs interact with biological systems at a more precise level. The approach involves using advanced technologies like robotic confocal microscopes and multiplexed fluorescent dyes to gather detailed data on cellular interactions. This could lead to more effective drug development processes and reduce the costs associated with late-stage failures.
Why it matters
Potential benefit: If successful, this research could lead to more effective and targeted drug therapies, ultimately improving patient outcomes.
How similar studies have gone: Other research has shown promise in using complex biological models for drug discovery, indicating that this approach could lead to significant advancements.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: O'meara, Matthew J — University of Michigan at Ann Arbor
- Study coordinator: O'meara, Matthew J
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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.