Cross-docking is the main focus of many docking studies as it most closely emulates docking experiments in drug discovery campaigns. We test the performance of Open-ComBind by performing cross-docking on the Benchmark Dataset. We utilize the protein and ligand pre-processing available in the Open-ComBind pipeline to prepare the ligands for cross-docking. Next, we create two sets of helper ligands for each ligand we are docking, as defined above: high-affinity binders and congeneric series. We then use the Open-ComBind Pose Prediction Pipeline (Figure ) on each ligand in which we are performing cross-docking with each set of helper ligands. When predicting poses for docking ligands of a given receptor, we omit that receptor's docked ligand similarity statistics from the pre-computed similarity statistics used in the Open-ComBind objective function.