Threading Zmax Znorm MUSTER 20.03 3.45 dPPAS 57.21 6.15 wdPPAS 88.01 9.46 wMUSTER 27.71 4.78 wPPAS 86.81 12.40 dPPAS2 107.30 10.22 PPAS 68.07 9.72 Env-PPAS 9.95 1.24 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=3585) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.24 0.56+-0.15 12.0+-4.4 661 0.040 model2 0.01 456 0.141 model3 -2.65 258 0.010 model4 -2.64 228 0.010 model5 -3.07 174 0.006 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).