Threading Zmax Znorm MUSTER 7.66 1.32 dPPAS 14.46 1.55 wdPPAS 26.88 2.89 wMUSTER 11.07 1.91 wPPAS 31.56 4.51 dPPAS2 38.77 3.69 PPAS 23.30 3.33 Env-PPAS 28.13 3.52 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=4389) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.12 0.57+-0.14 10.0+-4.6 753 0.115 model2 -2.09 738 0.044 model3 -2.35 528 0.034 model4 -2.51 248 0.029 model5 -2.81 228 0.021 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).