Threading Zmax Znorm MUSTER 6.95 1.20 dPPAS 12.91 1.39 wdPPAS 23.28 2.50 wMUSTER 9.72 1.68 wPPAS 24.95 3.56 dPPAS2 32.55 3.10 PPAS 16.64 2.38 Env-PPAS 30.05 3.76 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=5271) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.01 0.47+-0.15 11.8+-4.5 873 0.055 model2 -3.20 469 0.017 model3 -1.78 406 0.069 model4 -4.09 186 0.007 model5 -4.01 180 0.007 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).