Despite its advantages, in silico modeling faces several challenges. One major challenge is the quality and availability of data used to build and validate models. Incomplete or biased datasets can lead to inaccurate predictions. Another challenge is the complexity of biological systems, which can be difficult to fully capture in computational models. Additionally, ensuring the transparency and reproducibility of model outcomes remains a significant hurdle.
