Analyzing and visualizing data for predicting toxic effects of new molecules
MegaTox for analyzing and visualizing data across different screening systems
['FUNDING_SBIR_2'] · COLLABORATIONS PHARMACEUTICALS, INC. · NIH-10674729
This study is looking at how computer models can help predict if new chemicals or drugs might be harmful, making it easier and safer to test them before they reach patients like you.
Quick facts
| Phase | ['FUNDING_SBIR_2'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | COLLABORATIONS PHARMACEUTICALS, INC. (nih funded) |
| Locations | 1 site (FUQUAY VARINA, UNITED STATES) |
| Trial ID | NIH-10674729 on ClinicalTrials.gov |
What this research studies
This research focuses on computational toxicology, which uses algorithms and models to predict whether new chemical compounds may have harmful effects based on existing data. By integrating diverse datasets from various sources, the project aims to develop machine learning models that can accurately forecast toxicity outcomes. This approach could streamline the testing process for new drugs and chemicals, making it more efficient and potentially safer for patients. The research involves both in vitro and in vivo testing to verify predictions made by the models.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals involved in drug development or those affected by conditions related to toxic exposures.
Not a fit: Patients who are not involved in drug development or who do not have conditions related to toxic exposures may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to safer drugs and chemicals by predicting toxic effects before they reach clinical trials.
How similar studies have performed: Other research in computational toxicology has shown promise in predicting drug safety, indicating that this approach has potential for success.
Where this research is happening
FUQUAY VARINA, UNITED STATES
- COLLABORATIONS PHARMACEUTICALS, INC. — FUQUAY VARINA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: EKINS, SEAN — COLLABORATIONS PHARMACEUTICALS, INC.
- Study coordinator: EKINS, SEAN
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.