Threading Zmax Znorm MUSTER 8.20 1.41 dPPAS 22.05 2.37 wdPPAS 21.76 2.34 wMUSTER 10.93 1.88 wPPAS 18.60 2.66 dPPAS2 57.86 5.51 PPAS 16.16 2.31 Env-PPAS 26.91 3.36 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=1506) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.83 0.39+-0.13 13.7+-4.0 248 0.022 model2 -2.94 156 0.019 model3 -2.09 125 0.045 model4 -2.15 121 0.043 model5 -3.05 104 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).