Understanding how enzymes activate C-H bonds for better catalysts
Official title: Revealing Nature's Blueprints for Single-Site Catalysis of C-H Activation with First-principles Modeling and Machine Learning
Funded at Massachusetts Institute of Technology · NIH-11141792 · Data updated 2026-11-12
This study is exploring how special enzymes can help create important small molecules by activating certain bonds, and it's designed for anyone interested in improving medicine and making valuable compounds more efficiently.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts Institute of Technology NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project start | August 1, 2024 |
| Project end | May 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $397,500 |
| NIH project number | 5R35GM152027-02 |
| Project ID | NIH-11141792 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include individuals with conditions that could be treated with new drugs developed through improved catalytic processes.
✕Less likely to help
Patients who are not seeking new treatment options or those with conditions unrelated to drug synthesis may not benefit from this research.
What this research studies
This research investigates how certain enzymes, particularly non-heme iron enzymes, can selectively activate C-H bonds, a process crucial for creating various small molecules. By using advanced computational modeling and machine learning, the research aims to uncover the mechanisms behind these enzymatic reactions and develop new catalysts that can mimic their efficiency. This could lead to breakthroughs in medicinal chemistry and the production of valuable compounds. The approach combines theoretical insights with practical applications to enhance our understanding of biological catalysis.
Why it matters
Potential benefit: If successful, this research could lead to the development of more effective catalysts for drug synthesis and other important chemical processes.
How similar studies have gone: Other research has shown promise in using computational modeling and machine learning to enhance catalytic processes, indicating a potential for success in this novel approach.
Where this research is happening
-
Massachusetts Institute of Technology
Cambridge, United States Active
Researchers
- Principal investigator: Kulik, Heather J. — Massachusetts Institute of Technology
- Study coordinator: Kulik, Heather J.
Related research
Other NIH-funded projects on the same topics.
-
PhysioNet: A trusted, open data repository for clinical and physiological data
A publicly accessible platform provides curated clinical and physiological data and tools to help researchers develop and test AI models for better healthcare.
-
Dormancy in Triple-Negative Breast Cancer: How Liver and Skin Metastases Go Quiet or Reactivate
Researchers will study how dormant cancer cells in liver and skin metastases of triple-negative breast cancer become quiescent or wake up, using organ-on-chip models and single-cell analysis to map chromatin states.
-
Single-cell, label-free mapping of senescence in tissues with Raman imaging and spatial genomics
A project to map how senescent cells differ across tissues using a noninvasive Raman imaging method combined with spatial genomics.
-
Structures and dynamics of virus ion channels
This project studies the tiny channels in certain influenza and coronavirus viruses to understand how they let ions pass through and contribute to disease.
-
Prospect: Stem Cell Models for Early-Onset Colorectal Cancer Prevention
Researchers at MIT are using stem cell models to understand why colorectal cancer is rising in people under 50 and how to prevent it.
-
MATCHMAKERS: AI tools to predict TCR binding and design
Researchers are building AI tools to predict how T cell receptors recognize tumor antigens, with aims to help improve targeted immunotherapies.
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.