Table 5

Performance of disorder prediction on the combined pdbRemark465, CASP7 and Disprot dataset
Evaluation score
Method Sw MCC AUC
FloatCons 0.608 ± 0.007 0.475 ± 0.008 0.868 ± 0.002
BinCons 0.599 ± 0.007 0.487 ± 0.008 0.843 ± 0.003
iPDA 0.555 ± 0.006 0.419 ± 0.006 0.829 ± 0.004
DISPROT(vls2) 0.539 ± 0.005 0.399 ± 0.005 0.830 ± 0.001
DISOPRED 0.481 ± 0.006 0.436 ± 0.006 0.778 ± 0.003
POODLE-S 0.474 ± 0.009 0.423 ± 0.010 0.828 ± 0.004
PrDOS 0.469 ± 0.007 0.442 ± 0.008 0.810 ± 0.006
POODLE-L 0.464 ± 0.010 0.397 ± 0.010 0.794 ± 0.004
RONN 0.450 ± 0.006 0.350 ± 0.007 0.762 ± 0.006
IUPred (short) 0.445 ± 0.006 0.412 ± 0.007 0.788 ± 0.002
DisPSSMP 0.442 ± 0.012 0.377 ± 0.012 0.776 ± 0.004
IUPred (long) 0.432 ± 0.008 0.392 ± 0.009 0.787 ± 0.004
Spritz (long) 0.418 ± 0.009 0.377 ± 0.010 -
Pdisorder 0.383 ± 0.007 0.350 ± 0.007 -
Dispro 0.355 ± 0.006 0.411 ± 0.008 -
Spritz (short) 0.334 ± 0.007 0.306 ± 0.007 -
DisEMBL 0.289 ± 0.007 0.232 ± 0.006 -
GlobPlot 0.187 ± 0.004 0.172 ± 0.004 -

The highest value for each score is shown in bold.

Kozlowski and Bujnicki

Kozlowski and Bujnicki BMC Bioinformatics 2012 13:111   doi:10.1186/1471-2105-13-111

Open Data