In this section, the performance of DockM8 was evaluated on a subset of the DEKOIS 2.0 dataset (79 targets, see Supporting Information). A variety of other methods were included in the comparison, with the enrichment factor (EF) data being taken from the relevant publications. We included a variety of methods in the comparison, including machine learning (IGN , KarmaDock , RF-Score-VS , TankBind ) and more traditional methods (GlideSP , Surflex , LeDock , AutoDock Vina ) (for all associated data, see the Supporting Information). Figure shows the EF at 1% (EF 1% ) for the various methods.