Table 2.

Results for protein disorder predictors that participated in CASP9 on 117 targets

Disorder predictor	ACC score	AUC score(SE)	Weighted score	Break-even(ths)	False pos.	Pos. sens.	Pos. spec.	Neg. sens.	Neg. spec.	Sens. prod.	F-meas.
Prdos2a,d	0.752	0.852(0.005)	7.153	0.48(0.57)	0.103	0.608	0.375	0.897	0.957	0.545	0.464
MULTICOM-REF INE/PreDisordera	0.748	0.819(0.005)	7.187	0.45(0.55)	0.154	0.650	0.300	0.846	0.960	0.550	0.410
biomine_DR_pdbc	0.739	0.818(0.005)	6.763	0.48(0.54)	0.119	0.597	0.338	0.881	0.956	0.526	0.432
GSmetaDisorderMDc	0.736	0.813(0.005)	6.906	0.40(0.89)	0.184	0.657	0.266	0.816	0.959	0.536	0.378
masona	0.730	0.740(0.006)	6.297	—	0.077	0.537	0.416	0.923	0.952	0.496	0.469
ZHOU-SPINE-Da	0.729	0.829(0.005)	6.411	0.46(0.54)	0.122	0.579	0.326	0.878	0.954	0.509	0.417
GSmetaserverc	0.713	0.811(0.005)	5.982	0.40(0.85)	0.151	0.577	0.279	0.849	0.952	0.490	0.376
ZHOU-SPINE-DMc	0.705	0.789(0.006)	5.621	0.42(0.54)	0.125	0.535	0.303	0.875	0.949	0.468	0.387
Distill-Punch1a	0.701	0.797(0.006)	5.392	—	0.103	0.505	0.338	0.897	0.946	0.453	0.405
GSmetaDisorderc	0.694	0.793(0.005)	5.268	0.40(0.63)	0.131	0.519	0.287	0.869	0.947	0.451	0.370
OnD-CRFa,d	0.694	0.733(0.005)	5.513	—	0.198	0.586	0.231	0.802	0.950	0.470	0.332
CBRC_POODLEa	0.693	0.828(0.005)	4.958	0.43(0.51)	0.061	0.447	0.425	0.939	0.944	0.419	0.435
MULTICOMc	0.687	0.852(0.005)	4.723	0.45(0.48)	0.045	0.419	0.481	0.955	0.942	0.400	0.448
IntFOLD-DRb	0.683	0.794(0.005)	4.831	0.38(0.57)	0.115	0.481	0.299	0.885	0.944	0.426	0.369
Biomine_DR_mixedc	0.683	0.769(0.006)	4.901	0.35(0.62)	0.135	0.501	0.274	0.865	0.945	0.433	0.354
Spritz3c	0.683	0.751(0.006)	4.732	0.39(0.63)	0.091	0.457	0.336	0.909	0.943	0.415	0.387
DISOPRED3Ca	0.669	0.851(0.005)	3.975	0.55(0.17)	0.010	0.349	0.775	0.990	0.937	0.345	0.481
GSmetaDisorder3Dc	0.669	0.781(0.006)	4.142	0.40(0.5)	0.061	0.398	0.399	0.939	0.939	0.374	0.399
biomine_DR_pdb_cc	0.659	0.815(0.005)	3.647	0.48(0.18)	0.015	0.333	0.696	0.985	0.936	0.328	0.451
OnD-CRF-pruneda,d	0.659	0.707(0.006)	4.358	0.32(0.75)	0.208	0.526	0.205	0.792	0.943	0.417	0.295
Distilla,b,d	0.654	0.693(0.006)	4.152	0.29(0.79)	0.202	0.510	0.204	0.798	0.941	0.407	0.291
ULg-GIGA	0.589	0.718(0.006)	1.302	0.35(0.11)	0.012	0.191	0.608	0.988	0.924	0.188	0.290
Biomine_DR_mixed_cc	0.572	0.769(0.006)	0.644	0.35(0.30)	0.008	0.152	0.647	0.992	0.920	0.151	0.247

Results of our evaluation of all the protein disorder predictors ordered by the ACC score. For the AUC and the break-even point, the standard error and decision threshold at with the break-even point occurred are shown, respectively, in parentheses. False pos. is the false positive rate. Pos. spec. and Neg. spec. are the positive and negative specificities. Pos. sens. and Neg. sens. are the positive and negative sensitivities. F-meas. is the F-measure of the positive sensitivity and positive specificity and Sens. prod. is the product of the positive sensitivity and negative sensitivity. MULTICOM_REFINE is the predictor name of our method PreDisorder in CASP9.

^aDenotes ab initio methods.

^bDenotes clustering methods.

^cDenotes meta methods.

^dDenotes template-based methods.