Overall, the slowdown due to looping over all conformations and performing rigid body docking is about 5-to 10-fold on average, depending on the number of conformations used for the ligands. Additionally, it is possible to speed up QFVina and QFVinardo by creating a derivative QM conformation dataset through further deduplication using higher RMSD thresholds. This process results in a more diverse but reduced set of conformations for each ligand, thereby reducing computational demand.