While QSAR models offer numerous advantages, they also have limitations: 1. Data Quality: The reliability of QSAR predictions heavily depends on the quality and completeness of the input data. 2. Applicability Domain: QSAR models are often limited to the chemical space represented by the training data and may not be reliable for extrapolating beyond that domain. 3. Complexity: Some biological activities are too complex to be accurately predicted by QSAR models alone. 4. Interpretability: Advanced models, especially those based on machine learning, can be difficult to interpret, making it challenging to understand the underlying mechanisms of toxicity.
