A research tool exploring the application of deep learning methods in molecular toxicity prediction, developed to support early-stage safety assessment in drug discovery.
We aim to contribute to computational toxicology research by developing accessible AI tools that may help researchers and professionals in their safety assessment workflows. This is an ongoing research project, and we welcome feedback and collaboration.
A deep learning tool for predicting molecular toxicity endpoints, aiming to assist in early-stage safety assessment.
Combines graph neural networks and molecular descriptors to analyze chemical structures.
Designed to support drug discovery and chemical safety research workflows.
May assist in early-stage toxicity screening during drug discovery research.
Could support preliminary chemical safety evaluation workflows.
This is an ongoing research project. We welcome feedback, suggestions, and collaboration opportunities to improve the tool and expand its capabilities.