Threading Zmax Znorm MUSTER 15.25 2.63 dPPAS 33.20 3.57 wdPPAS 49.60 5.33 wMUSTER 20.04 3.46 wPPAS 43.29 6.18 dPPAS2 100.72 9.59 PPAS 31.12 4.45 Env-PPAS 38.07 4.76 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=11538) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.03 0.71+-0.12 5.5+-3.5 8041 0.195 model2 -0.16 6376 0.171 model3 -2.64 586 0.014 model4 -1.29 2107 0.055 model5 -2.44 161 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).