Threading Zmax Znorm MUSTER 9.42 1.62 dPPAS 19.23 2.07 wdPPAS 29.54 3.18 wMUSTER 14.48 2.50 wPPAS 24.09 3.44 dPPAS2 38.35 3.65 PPAS 18.03 2.58 Env-PPAS 28.13 3.52 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=7530) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.46 0.43+-0.14 13.5+-4.0 1343 0.030 model2 -2.96 712 0.018 model3 -3.37 440 0.012 model4 -3.33 388 0.013 model5 -3.17 585 0.015 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).