What are the Key Approaches in Toxicity Prediction?
Several approaches are used in toxicity prediction, including:
QSAR models: These models relate the chemical structure of compounds to their biological activity, allowing for the prediction of toxicity based on molecular features. Read-across: This approach uses data from structurally similar chemicals to predict the toxicity of a new compound. Machine learning: Advanced algorithms are employed to analyze large datasets and identify patterns that can predict toxicity. High-throughput screening: This method involves the rapid testing of numerous compounds using automated systems to quickly identify toxic agents.
