Threading Zmax Znorm MUSTER 7.24 1.25 dPPAS 13.05 1.40 wdPPAS 20.64 2.22 wMUSTER 9.10 1.57 wPPAS 13.09 1.87 dPPAS2 30.28 2.88 PPAS 9.24 1.32 Env-PPAS 12.22 1.53 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=20200) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -3.26 0.35+-0.12 12.9+-4.2 3216 0.022 model2 -3.61 2186 0.015 model3 -3.84 1808 0.012 model4 -3.75 1928 0.013 model5 -3.89 1620 0.012 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).