Table 1. Disorder prediction results – AUC scores for different methods are compared.
The predictions from the DISOclust server are compared with those obtained from an in-house version of DISOPRED.
The DISOclust_server is a fully automated method that compares models obtained from the nFOLD3 server.
The DISOclust_manual method uses models obtained from all of the CASP8 servers.
AUC, Area Under Curve (see ROC plots below); SE, Standard Error in AUC score;
AUC(0-0.1), partial area under curve between 0-0.1 false positives; %Improvement, AUC improvement over DISOPRED alone
Disordered residues are defined as those with missing coordinates in the PDB file.
Method	AUC	SE	AUC (0-0.1)	AUC-SE	AUC+SE	% Improvement
DISOclust_server	0.8771	0.0051	0.0529	0.8720	0.8823	4.1
DISOclust_manual	0.8759	0.0052	0.0538	0.8708	0.8811	3.98
DISOPRED	0.8361	0.0055	0.0493	0.8306	0.8416	-
Figure 1. ROC plot – partial plot, low false positive rate
Figure 2. ROC plot – full plot