Threading Zmax Znorm MUSTER 7.29 1.26 dPPAS 11.26 1.21 wdPPAS 18.75 2.02 wMUSTER 9.61 1.66 wPPAS 21.00 3.00 dPPAS2 23.93 2.28 PPAS 14.78 2.11 Env-PPAS 18.46 2.31 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=3012) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.22 0.45+-0.15 12.6+-4.3 518 0.055 model2 -1.87 338 0.078 model3 -3.46 228 0.016 model4 -3.61 196 0.014 model5 -3.46 168 0.016 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).