Figure 2

Example ROC curves, precision-recall curves, and Z-score distributions for SeqFEATURE models. A sample of performance plots for ADH_ZINC.2.HIS.ND1 (top), ASP_PROTEASE.4.ASP.OD1 (middle), and ZINC_FINGER_C2H2_1.9.HIS.ND1 (bottom) are shown, representing a model with excellent performance, good performance, and somewhat satisfactory performance, respectively. The leftmost plot in each row gives the ROC curve in red and random performance in blue, the middle plot shows the precision versus recall (sensitivity) curve, and the rightmost plot shows the distribution of scores for positive sites (red) and negative sites (blue) from training. Because there are many more negative sites than positive sites, the score distributions on the right are normalized to Z-scores.