Threading Zmax Znorm MUSTER 8.35 1.44 dPPAS 13.50 1.45 wdPPAS 27.02 2.91 wMUSTER 11.05 1.91 wPPAS 22.78 3.25 dPPAS2 44.29 4.22 PPAS 13.89 1.98 Env-PPAS 23.61 2.95 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=9279) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.28 0.56+-0.15 6.6+-4.0 5163 0.110 model2 -2.35 1069 0.038 model3 -2.87 1108 0.023 model4 -2.69 1213 0.027 model5 -3.65 368 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).