Threading  Zmax  Znorm
MUSTER     7.31 1.26
dPPAS      9.85 1.06
wdPPAS     8.40 0.90
wMUSTER    7.60 1.31
wPPAS      7.57 1.08
dPPAS2     13.59 1.29
PPAS       10.43 1.49
Env-PPAS   10.02 1.25

==================================================================
|                  Estimated accuracy of your models             | 
==================================================================
                         Estimated        Clusters (N=1506)
                  ---------------------   ------------------
Model#  C-score    TM-score    RMSD (A)   #decoys    density
------  -------   ----------   --------   -------    -------
model1   -0.28    0.68+-0.12   9.0+-4.6      753      0.625
model2   -2.85                               328      0.048
model3   -2.20                               111      0.092
model4   -2.28                               102      0.085
model5   -2.33                                97      0.081


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).