Here, we detail the dataset used in the creation of the docking pipeline as well as the dataset employed for evaluation of our pipeline. We describe the creation of inter-pose similarity statistics by performing cross-docking on a diverse protein-ligand benchmark dataset. The Open-ComBind docking pipeline is described, harnessing the similarity statistics to performing pose selection on a ligand of interest, the 'docking ligand', using a set of ligands with unknown bound structures, the 'helper ligands'. Finally, an experiment to determine the validity of Open-ComBind's underlying hypothesis: 'distinct ligands bind to a receptor in similar ways'.