Looking ahead, future work could focus on extending this optimization strategy to other types of enzymatic reactions. The success demonstrated with hydride transfers suggests that our approach could be particularly valuable for developing system-specific parameters for other common biochemical mechanisms. Additionally, exploring ways to improve charge descriptions and incorporating machine learning techniques could lead to even more robust parametrization strategies.