Threading Zmax Znorm MUSTER 24.55 4.23 dPPAS 47.50 5.11 wdPPAS 80.91 8.70 wMUSTER 34.98 6.03 wPPAS 66.95 9.56 dPPAS2 92.92 8.85 PPAS 54.37 7.77 Env-PPAS 9.78 1.22 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=8364) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.34 0.67+-0.13 8.8+-4.6 1365 0.111 model2 -3.59 184 0.004 model3 -3.57 158 0.004 model4 -2.81 136 0.009 model5 -2.75 129 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).