For sucrose, all four methods correctly predicted the lowest energy angle. ANI-1x best captures the energy of the dihedral angles, seen in Figure , with ANI-2x and Colorful CNN under-predicting the energy for most angles. Unlike with biphenyl, FCHL captures the shape of the torsion scan for sucrose but vastly over predicts the energies at each angle. The additional torsion training in ANI-2x provided a beneficial reduction in the MAE for both dialanine and diglycine, seen in Table , by roughly 35% from ANI-1x. Additional torsion sampling for methods Colorful CNN and FCHL should also provide a decrease in MAE for predicting dihedral angle energies. This could improve accuracy for the Colorful CNN method that is already qualitatively adequate.