Threading Zmax Znorm MUSTER 9.17 1.58 dPPAS 17.53 1.89 wdPPAS 27.25 2.93 wMUSTER 12.94 2.23 wPPAS 32.65 4.66 dPPAS2 39.79 3.79 PPAS 22.24 3.18 Env-PPAS 24.49 3.06 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=1506) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -3.18 0.36+-0.12 14.9+-3.5 161 0.014 model2 -1.52 141 0.075 model3 -1.97 140 0.048 model4 -3.00 138 0.017 model5 -3.27 130 0.013 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).