Threading  Zmax  Znorm
MUSTER     6.05 1.04
dPPAS      10.89 1.17
wdPPAS     10.90 1.17
wMUSTER    6.96 1.20
wPPAS      7.77 1.11
dPPAS2     19.28 1.84
PPAS       7.20 1.03
Env-PPAS   9.18 1.15

==================================================================
|                  Estimated accuracy of your models             | 
==================================================================
                         Estimated        Clusters (N=15546)
                  ---------------------   ------------------
Model#  C-score    TM-score    RMSD (A)   #decoys    density
------  -------   ----------   --------   -------    -------
model1   -1.23    0.56+-0.15   8.3+-4.5     9752      0.240
model2   -1.51                              6084      0.183
model3   -1.22                              8426      0.244
model4   -2.53                              2459      0.066
model5   -1.80                              4786      0.136


C-score is a confidence score of the I-TASSER predictions which
is typically in [-5,2]. TM-score and RMSD measure how close the
model is to the native structure and both are estimated based 
on the C-score. TM-score is in [0,1] with a value >0.5 implying 
the model of correct topology. The TM-score and RMSD estimations 
are made only for the first model because absolute values of 
TM-score and RMSD for the lower-rank models do not strongly 
correlate with the C-score. The models are ranked based on the 
structure density of I-TASSER simulations.

Please cite following articles when you use the I-TASSER Suite:

   1. Y Zhang. I-TASSER server for protein 3D structure prediction.
      BMC Bioinformatics, 9: 40 (2008).
   2. A Roy, A Kucukural, Y Zhang. I-TASSER: a unified platform
      for automated protein structure and function prediction.
      Nature Protocols, 5: 725-738 (2010).
   3. J Yang, A Roy, Y Zhang. Protein-ligand binding site recognition
      using complementary binding-specific substructure comparison and
      sequence profile alignment. Bioinformatics, 29:2588-2595 (2013).