Multi-agent AI to annotate enzymes in the human gut microbiome
Official title: A multi-agent AI system for automated curation and functional annotation of enzymes in human gut microbiome
Funded at University of South Florida · NIH-11594384 · Data updated 2026-11-12
A team at a major university will build an AI system that automatically curates and labels the functions of enzymes in the human gut microbiome to speed up understanding their health effects.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of South Florida NIH-funded |
| Lab location | 1 site (Tampa, United States) |
| Project start | June 1, 2026 |
| Project end | May 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $1,355,596 |
| NIH project number | 7R01LM015024-02 |
| Project ID | NIH-11594384 on NIH RePORTER |
Who could benefit from this research
✓Could help
Researchers and clinicians researching gut health and related diseases.
✕Less likely to help
Healthy individuals not involved in research or those studying non-gut microbes may not directly benefit.
What this research studies
This project will create GENZ-AI, a multi-agent AI platform that uses large language models and external data sources to annotate gut microbial enzymes more quickly and accurately. It aims to move beyond traditional sequence-based tools by adding context-aware insights and automated workflows. The goal is to produce richer, more scalable enzyme annotations that could inform health-related research and therapies.
Why it matters
Potential benefit: If successful, patients could benefit from faster discoveries about how gut enzymes influence health and drug processing.
How similar studies have gone: Early AI-assisted annotation efforts show promise, but this project targets a broader, autonomous annotation pipeline for gut enzymes.
Where this research is happening
-
University of South Florida
Tampa, United States Active
Researchers
- Principal investigator: Wang, Duolin — University of South Florida
- Study coordinator: Wang, Duolin
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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.