Threading  Zmax  Znorm
MUSTER     7.25 1.25
dPPAS      10.93 1.18
wdPPAS     16.53 1.78
wMUSTER    9.14 1.58
wPPAS      16.58 2.37
dPPAS2     22.18 2.11
PPAS       12.21 1.74
Env-PPAS   12.38 1.55

==================================================================
|                  Estimated accuracy of your models             | 
==================================================================
                         Estimated        Clusters (N=7530)
                  ---------------------   ------------------
Model#  C-score    TM-score    RMSD (A)   #decoys    density
------  -------   ----------   --------   -------    -------
model1   -2.88    0.39+-0.13  14.2+-3.8     1414      0.033
model2   -3.15                              1035      0.025
model3   -3.43                               769      0.019
model4   -3.91                               436      0.012
model5   -3.96                               497      0.011


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).