The ablation studies therefore highlight the importance of the developed data generation/curation approach both in terms of quality and quantity of the obtained reactions. Although our approach adds computational burden compared to out-of-the-box mapping strategies, the performance improvement in machine learning models warrants its use, and, for the first time, enables accurate data-driven modeling of enzymatic synthesis planning.