Threading Zmax Znorm MUSTER 22.79 3.93 dPPAS 40.20 4.32 wdPPAS 69.69 7.49 wMUSTER 30.11 5.19 wPPAS 61.49 8.78 dPPAS2 81.67 7.78 PPAS 49.46 7.07 Env-PPAS 9.93 1.24 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=3012) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 0.33 0.76+-0.10 7.2+-4.2 753 0.243 model2 -2.72 144 0.012 model3 -2.46 129 0.015 model4 -2.42 110 0.016 model5 -2.94 108 0.009 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).