Using deep learning to find new drug-target connections in biomedical networks
BOND: Benchmarking based on heterogeneous biOmedical Network and Deep learning novel drug-target associations
This study is exploring how advanced computer techniques can help us find new connections between medications and their targets, which could lead to better and more personalized treatments for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project ID | NIH-10690573 on NIH RePORTER |
What this research studies
This research investigates how deep learning techniques can be applied to analyze complex biomedical networks to identify novel associations between drugs and their targets. By leveraging large datasets and advanced computational methods, the project aims to enhance our understanding of drug interactions and improve the drug discovery process. Patients may benefit from this research as it could lead to the development of more effective treatments tailored to specific conditions based on these new drug-target associations.
Who could benefit from this research
Good fit: Ideal candidates for participation or benefit from this research would include individuals with conditions that currently lack effective treatment options.
Not a fit: Patients with well-established treatment protocols or those not affected by conditions targeted by the research may not receive any benefit.
Why it matters
Potential benefit: If successful, this research could lead to the discovery of new drug treatments that are more effective for various medical conditions.
How similar studies have performed: Other research has shown success in using deep learning for drug discovery, indicating that this approach has potential for significant advancements.
Where this research is happening
Rochester, United States
- Mayo Clinic Rochester — Rochester, United States (Active)
Researchers
- Principal investigator: Zong, Nansu — Mayo Clinic Rochester
- Study coordinator: Zong, Nansu
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.