Intelligent Chemical Safety Assessment Platform | Data-Driven Toxicity Prediction and Risk Analysis
This platform provides Data Retrieval, Toxicity Prediction, and Structural Alert Recognition capabilities, focusing on five major compound classes (aristolochic acids / N-nitroso compounds / anthraquinones / phenols / flavonoids), covering risk assessment and monitoring for four toxicity endpoints: carcinogenicity, Ames mutagenicity, hepatotoxicity, and nephrotoxicity.
Compound Records
Toxicity Records
Literature Records
Model Accuracy
A massive toxicity database for compounds, supporting multiple retrieval methods to quickly obtain detailed toxicity information and experimental data for target compounds.
An intelligent prediction system based on machine learning that provides rapid toxicity risk assessment for new compounds, assisting in chemical safety evaluation.
Structural alert recognition and evaluation based on expert systems and frequency analysis, providing early warning of potential toxicity risks and helping optimize molecular design.