Threading Zmax Znorm MUSTER 7.73 1.33 dPPAS 14.14 1.52 wdPPAS 28.33 3.05 wMUSTER 11.31 1.95 wPPAS 31.88 4.55 dPPAS2 37.55 3.58 PPAS 23.53 3.36 Env-PPAS 26.86 3.36 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=2820) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.03 0.47+-0.15 12.4+-4.3 584 0.046 model2 -2.73 294 0.023 model3 -2.66 192 0.025 model4 -2.76 190 0.022 model5 -1.81 130 0.058 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).