We retrained all of the built-in GNINA scoring functions using the updated CrossDock2020 The only decrease in performance is seen in the redocking performance of the redock default2018 models (Figure ). Both crossdock default2018 and dense have slightly increased performance on the redocking task after training on the new version of the dataset. We see a general increase in performance for all models during crossdocking (Figure , S3b, and S4b), with dense showing the largest increase in performance over the 1.0 version model.