Threading Zmax Znorm MUSTER 7.00 1.21 dPPAS 12.87 1.38 wdPPAS 23.37 2.51 wMUSTER 9.86 1.70 wPPAS 25.34 3.62 dPPAS2 31.77 3.03 PPAS 16.95 2.42 Env-PPAS 30.07 3.76 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=2259) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 0.01 0.71+-0.11 6.9+-4.1 746 0.413 model2 -2.21 416 0.045 model3 -2.76 260 0.026 model4 -3.05 114 0.019 model5 -1.95 105 0.058 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).