Threading Zmax Znorm MUSTER 8.65 1.49 dPPAS 11.59 1.25 wdPPAS 20.38 2.19 wMUSTER 8.66 1.49 wPPAS 18.52 2.65 dPPAS2 27.84 2.65 PPAS 13.95 1.99 Env-PPAS 23.03 2.88 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=1050) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.52 0.53+-0.15 13.1+-4.2 228 0.106 model2 -2.57 204 0.037 model3 -3.33 84 0.017 model4 -3.27 83 0.018 model5 -3.37 78 0.017 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).