One of the challenges associated with consensus docking is the fact that the number of generated poses scales with the number of docking algorithms used. To address this, DockM8 supports a variety of pose selection options. Traditionally, the best pose (as determined by the docking score) for each ligand is selected for further analysis. DockM8 supports this through the bestpose series of pose selection options. The best pose for a single docking program can be used (e.g. bestpose_SMINA or bestpose_PLANTS), which will return a single pose for each ligand in the library. Alternatively, the bestpose option (without tool specification) selects the best pose of each ligand for each selected docking algorithm, outputting the same amount of poses as docking algorithms selected (for each ligand). Additionally, due to the large number of poses being generated, we implemented a module to cluster the docking poses based on various metrics. Indeed, if several docking poses of the same ligand are very similar, further calculations can be simplified by using one of those poses as the representative pose. To achieve this, all the docked poses are put into an identity matrix and a clustering metric is calculated. Currently, the following metrics are available in DockM8: