Threading Zmax Znorm MUSTER 6.58 1.13 dPPAS 17.46 1.88 wdPPAS 26.32 2.83 wMUSTER 8.40 1.45 wPPAS 19.01 2.72 dPPAS2 57.53 5.48 PPAS 15.39 2.20 Env-PPAS 30.55 3.82 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=2259) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -3.77 0.31+-0.10 17.0+-2.8 158 0.009 model2 -2.21 123 0.041 model3 -3.87 112 0.008 model4 -2.18 103 0.042 model5 -2.67 94 0.026 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).