Models were tested on the test sets and compared for docking and scoring tasks with other docking software. Several metrics were employed to evaluate performance. To evaluate docking power, the success rate was used to measure the likelihood that the top-ranked pose as determined by a given scoring function corresponds to the native pose. Specifically, the top-ranked pose was compared to the minimized experimental structure, with a pose deemed successful if its RMSD was less than 2 Å. For DBX2, the success rate was evaluated using top-ranked poses from node-level predictions.