We are excited to announce the launch of SbD4Skin, a powerful, user-friendly platform that predicts whether chemicals may cause skin irritation, allergies, or toxicity—without the need for animal testing. For that, the tool incorporates quantitative structure-property relationship (QSPR) models for skin toxicity endpoints prediction (acute dermal toxicity, skin irritation potential, and skin sensitization potential).
By combining cutting-edge machine learning with diverse chemical data, SbD4Skin delivers highly accurate predictions while also highlighting the most important chemical features behind them. This means results are not only reliable but also transparent and easier to understand.
Key benefits of SbD4Skin:
- Supports cruelty-free chemical safety assessment
- Accurate and scientifically validated predictions
- Transparent insights into chemical features driving toxicity
- Freely available to support safe-by-design innovation and regulatory decision-making
With SbD4Skin, researchers, regulators, and industry professionals now have a practical tool to design safer chemicals, protect human health, and reduce reliance on animal testing.
The tool has been developed by the SSbD4CheM project partners Entelos and NovaMechanics, and powered by the Eos Cloud Platform.
Have a look to the associated publication here.
