Threading Zmax Znorm MUSTER 23.37 4.03 dPPAS 70.70 7.60 wdPPAS 63.19 6.79 wMUSTER 28.45 4.91 wPPAS 40.37 5.77 dPPAS2 104.84 9.99 PPAS 33.65 4.81 Env-PPAS 50.85 6.36 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=20200) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 0.43 0.77+-0.10 4.8+-3.2 13882 0.244 model2 -0.82 3823 0.070 model3 -0.51 4995 0.095 model4 -1.65 1878 0.031 model5 -3.42 355 0.005 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).