Enhancing AI tools for analyzing RNA structures
Official title: Improving Artificial Intelligence Readiness of RNA Motif Data for Structure Analysis and Modeling
Funded at Saint Louis University · NIH-10974883 · Data updated 2026-11-12
This study is working on making artificial intelligence better at predicting the shapes of RNA molecules, which could help doctors understand and treat diseases linked to RNA more effectively.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Saint Louis University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | September 20, 2024 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $467,334 |
| NIH project number | 1R15GM155891-01 |
| Project ID | NIH-10974883 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with conditions linked to RNA structures, such as certain genetic disorders or cancers.
✕Less likely to help
Patients with conditions unrelated to RNA structures or those not requiring advanced RNA modeling may not benefit from this research.
What this research studies
This research focuses on improving the ability of artificial intelligence (AI) to predict the three-dimensional structures of RNA molecules. It addresses the current limitations in RNA structure modeling by developing a new pipeline that generates datasets of RNA motifs, which are essential for training advanced AI algorithms. By integrating traditional motif-based approaches with machine learning techniques, the project aims to enhance the accuracy of RNA structural analysis. Patients may benefit from improved understanding and treatment of diseases related to RNA structures through better predictive models.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of RNA structures, potentially improving the diagnosis and treatment of RNA-related diseases.
How similar studies have gone: While traditional methods have shown some success, this approach of integrating AI with RNA motif analysis is relatively novel and has not been extensively tested.
Where this research is happening
-
Saint Louis University
Saint Louis, United States Active
Researchers
- Principal investigator: Hou, Jie — Saint Louis University
- Study coordinator: Hou, Jie
Related research
Other NIH-funded projects on the same topics.
-
Selective Targeting of Nurr1 for Alzheimer’s Disease
A small study tests new brain-targeted compounds to help people with Alzheimer’s by reducing inflammation and protecting brain cells.
-
Understanding how TDP-43 clumps cause brain cell damage in dementia
A research team is studying how clumps of TDP-43 protein mess with brain cell functions in Alzheimer’s and related dementias, with the goal of identifying what goes wrong and where.
-
Encephalitogenic stem-like T cells in MS and its disease models
This grant explores a specific type of brain-accumulating T cell linked to multiple sclerosis and tests new analytical tools to understand them better.
-
Endothelial dysfunction in Alzheimer’s disease: a data-driven model for diagnosis and prognosis
This research explores brain blood vessel problems in people with Alzheimer’s to find new biomarkers that could help diagnose and predict progression.
-
How alcohol may damage the brain’s protective barrier and how to stop it
Researchers are studying how heavy drinking could weaken the brain’s shield by changing a signaling system called LPA in blood vessels of the brain, and whether blocking parts of this system could help.
-
A brain immune-cell receptor (GPR56) and its link to Alzheimer's
Testing whether changing activity of a microglial receptor called GPR56 can reduce Alzheimer's brain plaques and related damage in people with Alzheimer's disease.
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.