Threading Zmax Znorm MUSTER 20.33 3.51 dPPAS 33.21 3.57 wdPPAS 43.76 4.70 wMUSTER 24.57 4.24 wPPAS 39.71 5.67 dPPAS2 73.73 7.02 PPAS 34.90 4.99 Env-PPAS 45.09 5.64 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=20200) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 1.30 0.89+-0.06 1.5+-1.4 20099 0.748 model2 -4.30 100 0.003 model3 -1.92 796 0.030 model4 -5.00 7 0.000 model5 -5.00 9 0.000 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).