Threading Zmax Znorm MUSTER 5.34 0.92 dPPAS 16.38 1.76 wdPPAS 24.73 2.66 wMUSTER 7.07 1.22 wPPAS 18.19 2.60 dPPAS2 36.81 3.51 PPAS 13.45 1.92 Env-PPAS 17.73 2.22 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=2505) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.18 0.46+-0.15 9.6+-4.6 748 0.054 model2 -2.17 469 0.054 model3 -1.82 200 0.078 model4 -3.32 185 0.017 model5 -2.27 177 0.049 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).