Reduction of animal testing: By predicting toxicity in silico, QSAR models reduce the need for animal experiments. Cost-effectiveness: QSAR models save time and resources compared to traditional experimental methods. High throughput screening: They enable the rapid screening of large chemical libraries, accelerating the drug discovery process. Predictive power: When properly validated, QSAR models can provide reliable predictions of toxicity and biological activity.
