Threading Zmax Znorm MUSTER 8.20 1.41 dPPAS 15.88 1.71 wdPPAS 28.22 3.03 wMUSTER 10.34 1.78 wPPAS 23.75 3.39 dPPAS2 69.61 6.63 PPAS 17.30 2.47 Env-PPAS 39.50 4.94 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=4518) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.39 0.66+-0.13 8.2+-4.5 3081 0.212 model2 -0.70 2075 0.157 model3 -3.46 133 0.010 model4 -3.50 132 0.010 model5 -3.44 86 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).