Threading  Zmax  Znorm
MUSTER     4.97 0.86
dPPAS      16.88 1.82
wdPPAS     13.50 1.45
wMUSTER    5.79 1.00
wPPAS      8.77 1.25
dPPAS2     69.09 6.58
PPAS       8.41 1.20
Env-PPAS   9.06 1.13

==================================================================
|                  Estimated accuracy of your models             | 
==================================================================
                         Estimated        Clusters (N=15546)
                  ---------------------   ------------------
Model#  C-score    TM-score    RMSD (A)   #decoys    density
------  -------   ----------   --------   -------    -------
model1    0.39    0.77+-0.10   3.4+-2.4    14040      0.772
model2   -4.06                               254      0.009
model3   -3.54                               189      0.015
model4   -4.49                               177      0.006
model5   -3.98                               122      0.010


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).