Threading Zmax Znorm MUSTER 8.05 1.39 dPPAS 11.22 1.21 wdPPAS 23.88 2.57 wMUSTER 11.51 1.98 wPPAS 27.25 3.89 dPPAS2 31.09 2.96 PPAS 16.08 2.30 Env-PPAS 17.98 2.25 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=4008) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.47 0.65+-0.13 6.7+-4.0 2766 0.270 model2 -1.69 835 0.079 model3 -2.96 227 0.022 model4 -1.30 1178 0.118 model5 -4.53 50 0.005 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).