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Table 4 The total GDT-TS scores of the top 20 out of 67 servers on the 28 high-accuracy comparative modeling domains in CASP7.

From: A multi-template combination algorithm for protein comparative modeling

Predictors

Rank

GDT-TS

ZScore

Zhang-Server [31,91,92]

1

2415

17.7

FOLDpro [37]

2

2389

16.6

3Dpro [37]

3

2379

15.9

UNI-EID expm [93]

4

2350

13.9

CIRCLE [42]

5

2341

12.7

RAPTOR [94]

6

2328

12.6

ROBETTA [61,95,96]

7

2328

12.1

beautshotbase [97]

8

2328

11.9

FAMS [42]

9

2327

12.0

FUNCTION [42]

10

2321

11.9

HHpred1 [39]

11

2314

11.2

Pcons6 [98]

12

2309

11.0

Huber-Torda-Srv [99]

13

2306

10.8

RAPTOR-ACE [100]

14

2300

10.7

SP3 [63]

15

2295

10.4

HHpred2 [39]

16

2294

10.6

SPARKS2 [101]

17

2293

10.2

HHpred3 [39]

18

2291

10.3

beautshot [97]

19

2288

10.9

SP4 [63]

20

2287

9.8

  1. Column 1 lists the predictor names, column 2 the ranks, column 3 the total GDT-TS scores and column 4 Z-Scores. For a model of each target, Z-score is the normalized GDT-TS score: (x - u)/σ calculated as in [52,90]. Here, x is the GDT-TS score of the model; u is the average GDT-TS score of all predicted models for the target; σ is the standard deviation. For each predictors, the Z-scores for all targets are summed into a total Z-Score to compare them as shown in the table.