Table 6 The results of our meta-predictors and top-scoring primary methods in CASP8 and CASP9

Method

Sw

AUC

Sensitivity

Specificity

FloatCons

0.662 ± 0.048

0.908 ± 0.017

0.758 ± 0.048

0.904 ± 0.004

BinCons

0.661 ± 0.050

0.897 ± 0.021

0.741 ± 0.050

0.920 ± 0.003

DisoClust

0.644 ± 0.047

0.908 ± 0.018

0.727 ±0.047

0.917 ± 0.004

MULTICOM

0.660 ± 0.039

0.896 ± 0.019

0.796 ± 0.039

0.864 ± 0.004

Mahmood-Torda

0.619 ± 0.061

0.918 ± 0.015

0.641 ± 0.061

0.978 ± 0.001

POODLE-L

0.588 ± 0.066

0.895 ± 0.021

0.646 ± 0.066

0.942 ± 0.004

CASP9

Method

Sw

AUC

Sensitivity

Specificity

FloatCons

0.427 ± 0.009

0.795 ± 0.011

0.574 ± 0.020

0.854 ± 0.009

GSmetaDisorder3D

0.391 ± 0.007

0.784 ± 0.012

0.411 ± 0.016

0.948 ± 0.008

GSmetaDisorderMD

0.476 ± 0.006

0.818 ± 0.008

0.654 ± 0.012

0.821 ± 0.010

GSmetaDisorderMD2

0.516 ± 0.010

0.841 ± 0.014

0.653 ± 0.013

0.860 ± 0.012

PrDOS2

0.509 ± 0.002

0.855 ± 0.010

0.609 ± 0.008

0.857 ± 0.003

MULTICOM-REFINE

0.500 ± 0.003

0.821 ± 0.008

0.651 ± 0.003

0.851 ± 0.004