the first group comprises SOS and SMS, the second group includes MVR, MAR, and MCS Difference Score, and the final group consists solely of the mapping RMSD score. Concerning the mapping diversity found in the Jaccard Scores, a high correlation of the mapping RMSD score with mappings of the Lomap approaches was observed. Further visual examination of the RMSD outliers revealed the previously mentioned "re-alignments" as the primary cause of low scores. The interpretation of the score depends on the expectations for the coordinates, as it evaluates how close the final mapping coordinates are in comparison to the input. If the given coordinates originate from, for example, a ligand-based approach without any ligand-protein complex information, the RMSD deviations detected could be considered an improvement to the coordinates. However, in a case where the molecules were modeled in an exact desired binding mode, the score indicates a deviation from that binding mode which should be avoided. The MVR differences were mainly triggered by Kartograf for the RHFE dataset, due to the fewer mapped atoms observed in the comparative number of mapped atoms analysis. A visual inspection of results shows that shape-based mapping scores picked up large shape changes in the mappings and input alignment deviations (which might lead to a shape overlap decrease in the hybrid topology approach). These mapping scores could be an attractive addition to scoring the complexity of a transformation with given binding modes. As a final remark, future work may select one mapping score of the highly correlating score groups to represent different aspects in a mapping evaluation.