Identifying chemical structures that may cause dangerous drug reactions
Systematic Discovery of Bioactivation-Associated Structural Alerts
This study is looking at how some ingredients in medications might cause serious allergic reactions, and it's using smart computer techniques to help figure out which drugs could be risky before they are given to people, with the hope of making medicines safer for everyone.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project ID | NIH-10674484 on NIH RePORTER |
What this research studies
This research focuses on understanding how certain chemical structures in drugs can lead to severe allergic reactions in patients. By using advanced machine learning techniques, the study aims to predict which drugs are likely to cause these harmful reactions before they are tested in people. This could help in developing safer medications by identifying and modifying risky compounds early in the drug development process. The goal is to reduce the incidence of adverse drug reactions that can lead to hospitalization or even death.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who have experienced adverse drug reactions or have a history of drug allergies.
Not a fit: Patients who do not take medications or have no history of drug allergies may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to the development of safer medications with fewer adverse drug reactions.
How similar studies have performed: Previous research has shown promise in using machine learning to predict drug reactions, indicating that this approach could be effective.
Where this research is happening
Saint Louis, United States
- Washington University — Saint Louis, United States (Active)
Researchers
- Principal investigator: Swamidass, Sanjay Joshua — Washington University
- Study coordinator: Swamidass, Sanjay Joshua
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.