This task benefits from the MPNNs' tunable representation more than the common PDBbind task used in most previous work developing MPNN scoring functions (SFs). We believe this is due to the accuracy of the labels, the abundance of diverse data, and the need to identify and discriminate fined-grained differences between many seemingly similar binding surfaces.