Threading Zmax Znorm MUSTER 8.79 1.52 dPPAS 11.93 1.28 wdPPAS 31.01 3.33 wMUSTER 12.78 2.20 wPPAS 28.95 4.13 dPPAS2 26.88 2.56 PPAS 21.33 3.05 Env-PPAS 35.62 4.45 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=1506) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.97 0.59+-0.14 9.8+-4.6 753 0.135 model2 -3.11 108 0.016 model3 -1.62 85 0.071 model4 -1.94 66 0.051 model5 -2.18 54 0.040 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).