Validation of SAR models is a crucial step to ensure their reliability and accuracy. This involves comparing the model’s predictions with known experimental data. The model's performance is evaluated using various statistical metrics, such as sensitivity, specificity, and predictive accuracy. Validated models can then be used with greater confidence for the assessment of new compounds. Continuous updating and refinement of SAR models with new data are also essential to maintain their relevance and accuracy.
