In silico methods employ various computational models, ranging from quantitative structure-activity relationship (QSAR) models to molecular docking and machine learning techniques. QSAR models, for instance, predict the toxicity of a compound based on its chemical structure by identifying relationships between chemical properties and biological activity. Machine learning algorithms can learn from large datasets to identify patterns and make predictions about potential toxic effects.
