Threading Zmax Znorm MUSTER 8.90 1.54 dPPAS 16.19 1.74 wdPPAS 26.55 2.85 wMUSTER 12.09 2.08 wPPAS 33.95 4.85 dPPAS2 37.05 3.53 PPAS 24.28 3.47 Env-PPAS 32.68 4.08 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=6267) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.83 0.49+-0.15 11.0+-4.6 424 0.053 model2 -3.78 342 0.008 model3 -2.43 302 0.029 model4 -2.82 282 0.020 model5 -3.99 250 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).