Despite its advantages, the Simcyp Simulator is not without limitations. The accuracy of its predictions heavily relies on the quality of the input data, including in vitro and in vivo parameters. Inaccuracies or gaps in this data can lead to unreliable predictions. Additionally, while the simulator can model complex biological systems, it may not capture all possible variables, such as rare genetic polymorphisms or unanticipated environmental factors. Therefore, results from the simulator should be validated with experimental data whenever possible.
