Threading Zmax Znorm MUSTER 8.55 1.47 dPPAS 17.15 1.84 wdPPAS 27.05 2.91 wMUSTER 11.87 2.05 wPPAS 32.49 4.64 dPPAS2 44.58 4.25 PPAS 23.67 3.38 Env-PPAS 31.64 3.96 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=6777) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.25 0.56+-0.15 9.8+-4.6 1506 0.093 model2 -2.32 753 0.032 model3 -2.83 136 0.019 model4 -2.65 135 0.023 model5 -2.93 104 0.017 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).