Fig. 2: Comparson of predictive performance between flDPnn and other disorder predictors.
From: flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
Assessment of the disorder predictions in the CAID experiment (A) and on the test dataset (B and C) and the predictions of the fully disordered proteins in the CAID experiment (D) and on the test dataset (E). AUC (area under the ROC curve); MCC (Matthews correlation coefficient). The predictive quality of the putative disorder propensities is quantified with AUC (green lines) and ROC curves (C). The ROC curves are color-coded where flDPnn is shown in red, ESpritz in violet, SPOT-Disorder-Single in dark green, IUPred2A-short in light green, IUPred2A-long in blue and random predictor in gray. The quality of the binary disorder predictions is assessed with MCC and F1 scores (blue bars). Panels A and D are reproduced from Fig. 2, Table 1, and Supplementary Table 5 from the CAID publication29.
