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Table 6 Statistical significance test for global quality prediction

From: Improved model quality assessment using ProQ2

Method

 

1

2

3

4

5

6

7

8

ProQ2

1

 

-14.48

-21.73

-56.80

-39.07

-47.35

n/a

-103.07

QMEAN

2

-29.86

 

−1.91

-43.51

-18.50

-30.30

n/a

-106.70

MetaMQAP

3

n/a

n/a

 

-38.46

-11.29

-23.67

n/a

-107.76

ProQ

4

-61.20

-39.03

n/a

 

-20.91

-8.69

n/a

-114.42

ConQuass

5

n/a

n/a

n/a

n/a

 

-4.79

n/a

-110.58

Distill_NNPIF

6

n/a

n/a

n/a

n/a

n/a

 

n/a

-112.22

MULTICOM-CMFR

7

-49.09

-17.94

n/a

-14.99

n/a

n/a

 

n/a

QMEANclust

8

-65.82

-79.03

n/a

-91.56

n/a

n/a

-86.12

 
  1. Pairwise statistical significance test on the correlation coefficients for global quality prediction from CASP8 (below diagonal) and CASP9 (above diagonal). The values correspond to the logarithm of the P-value for methods being statistically indistinguishable, obtained by comparing the distribution of Fisher’s Z (Eq: 1) for the correlation coefficients, R, from Table 5. Values in italics are not distinguishable at the 10−3significance level.