We built thousands of molecular fragments as they occur in collagen and calculated HAT energy barriers on the level of hybrid density functional theory (DFT). The computed reaction barriers range between 0 kcal/mol and 175 kcal/mol and are highly dependent on the local environment, rationalizing the machine learning approach. We used our quantum chemical data to train the GNN, which is able to predict barriers approaching DFT accuracy.