Threading Zmax Znorm MUSTER 9.85 1.70 dPPAS 19.45 2.09 wdPPAS 29.18 3.14 wMUSTER 13.07 2.25 wPPAS 26.94 3.85 dPPAS2 49.63 4.73 PPAS 22.10 3.16 Env-PPAS 46.50 5.81 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=5271) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -3.04 0.37+-0.13 15.7+-3.2 568 0.014 model2 -3.12 513 0.013 model3 -3.37 419 0.010 model4 -3.61 314 0.008 model5 -3.52 302 0.009 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).