Threading Zmax Znorm MUSTER 14.14 2.44 dPPAS 39.80 4.28 wdPPAS 49.67 5.34 wMUSTER 15.89 2.74 wPPAS 28.30 4.04 dPPAS2 124.15 11.82 PPAS 29.92 4.27 Env-PPAS 78.91 9.86 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=2907) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.90 0.49+-0.15 13.3+-4.1 417 0.027 model2 -1.51 387 0.039 model3 -2.41 332 0.016 model4 -2.91 160 0.010 model5 -3.14 144 0.008 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).