Threading Zmax Znorm MUSTER 24.78 4.27 dPPAS 71.62 7.70 wdPPAS 78.11 8.40 wMUSTER 30.24 5.21 wPPAS 50.76 7.25 dPPAS2 117.95 11.23 PPAS 47.46 6.78 Env-PPAS 98.21 12.28 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=4518) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.38 0.54+-0.15 12.0+-4.4 700 0.032 model2 -1.66 582 0.024 model3 -1.75 501 0.022 model4 -2.05 403 0.016 model5 -1.94 352 0.018 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).