Threading Zmax Znorm MUSTER 7.10 1.22 dPPAS 15.04 1.62 wdPPAS 17.45 1.88 wMUSTER 9.08 1.57 wPPAS 17.57 2.51 dPPAS2 38.26 3.64 PPAS 16.51 2.36 Env-PPAS 30.97 3.87 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=6777) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -3.43 0.34+-0.11 16.4+-3.0 679 0.014 model2 -3.68 558 0.011 model3 -3.70 557 0.011 model4 -3.66 477 0.011 model5 -3.76 286 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).