Finding new treatments for neurodevelopmental disorders using AI and gene data
Identifying potential therapeutics for neurodevelopmental disorders using artificial intelligence and transcriptional data
This study is using smart computer technology to find new treatments for neurodevelopmental disorders by looking at how certain drugs can help fix problems with genes, especially focusing on a gene called MeCP2, so that we can better address the root causes of these conditions instead of just treating the symptoms.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Baylor College of Medicine NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-11067425 on NIH RePORTER |
What this research studies
This research aims to identify potential therapeutics for neurodevelopmental disorders (NDDs) by utilizing artificial intelligence (AI) to analyze extensive gene expression data. The project will leverage publicly available RNA-sequencing studies to understand how specific drugs can modulate gene products that are either deficient or excessive in these disorders. By creating an automated prediction pipeline, the research will prioritize the most promising treatments for further testing, focusing on the gene methyl-CpG-binding protein 2 (MeCP2). This innovative approach seeks to move beyond symptomatic treatment and target the underlying genetic causes of NDDs.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with neurodevelopmental disorders, particularly those linked to gene imbalances.
Not a fit: Patients with neurodevelopmental disorders that do not involve gene expression imbalances may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to new, targeted therapies that address the root causes of neurodevelopmental disorders rather than just alleviating symptoms.
How similar studies have performed: Previous research has shown promise in using AI and gene expression data to identify potential therapeutics, indicating that this approach could be effective.
Where this research is happening
Houston, United States
- Baylor College of Medicine — Houston, United States (Active)
Researchers
- Principal investigator: Deisseroth, Cole — Baylor College of Medicine
- Study coordinator: Deisseroth, Cole
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 below.