Available medicinal chemistry and associated bioactivity data continues to increase dramatically . Machine learning and generative artificial intelligence approaches are increasingly being developed trained on these data. Unfortunately, compound records from different studies or databases often do not follow consistent chemical representation. This inconsistency makes it challenging to compare and integrate data on the same compound from various sources, particularly if the goal of aggregation is focused on the bioactivity of compounds.