Threading Zmax Znorm MUSTER 9.94 1.71 dPPAS 71.15 7.65 wdPPAS 58.12 6.25 wMUSTER 10.89 1.88 wPPAS 21.55 3.08 dPPAS2 84.65 8.06 PPAS 20.45 2.92 Env-PPAS 51.12 6.39 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=1506) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.88 0.39+-0.13 15.7+-3.3 125 0.012 model2 -1.36 105 0.054 model3 -2.77 104 0.013 model4 -1.51 100 0.046 model5 -1.63 88 0.041 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).