Threading Zmax Znorm MUSTER 9.94 1.71 dPPAS 29.56 3.18 wdPPAS 35.28 3.79 wMUSTER 12.79 2.21 wPPAS 26.50 3.79 dPPAS2 107.38 10.23 PPAS 18.63 2.66 Env-PPAS 36.80 4.60 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=20200) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.43 0.43+-0.14 12.1+-4.4 3424 0.022 model2 -2.48 3067 0.021 model3 -3.26 1362 0.010 model4 -3.57 979 0.007 model5 -3.00 1882 0.012 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).