Threading  Zmax  Znorm
MUSTER     5.09 0.88
dPPAS      6.40 0.69
wdPPAS     8.21 0.88
wMUSTER    6.03 1.04
wPPAS      8.62 1.23
dPPAS2     12.11 1.15
PPAS       6.74 0.96
Env-PPAS   5.94 0.74

==================================================================
|                  Estimated accuracy of your models             | 
==================================================================
                         Estimated        Clusters (N=19554)
                  ---------------------   ------------------
Model#  C-score    TM-score    RMSD (A)   #decoys    density
------  -------   ----------   --------   -------    -------
model1   -2.92    0.38+-0.13  10.7+-4.6     5630      0.057
model2   -3.29                              2827      0.039
model3   -3.90                              1842      0.021
model4   -4.24                              1364      0.015
model5   -3.88                              1300      0.022


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).