For all experiments, we trained the model with and without receptor information. To remove receptor information, we kept the model architecture the same but only gave it the first receptor pocket in the dataset. We note that this results in a ligand-only architecture that is unnecessarily complex, but we nonetheless wanted to ensure the architecture was the same as the ligand-and receptor model to provide a robust control.