Threading Zmax Znorm MUSTER 17.89 3.08 dPPAS 33.47 3.60 wdPPAS 45.59 4.90 wMUSTER 24.35 4.20 wPPAS 45.88 6.55 dPPAS2 71.94 6.85 PPAS 39.21 5.60 Env-PPAS 6.93 0.87 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=5271) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.23 0.56+-0.15 10.2+-4.6 1477 0.065 model2 -0.88 753 0.093 model3 -3.09 251 0.010 model4 -3.19 228 0.009 model5 -3.05 208 0.011 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).