Threading Zmax Znorm MUSTER 9.17 1.58 dPPAS 17.32 1.86 wdPPAS 41.04 4.41 wMUSTER 11.27 1.94 wPPAS 27.01 3.86 dPPAS2 47.89 4.56 PPAS 19.64 2.81 Env-PPAS 27.90 3.49 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=2259) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.54 0.64+-0.13 8.1+-4.4 1564 0.190 model2 -1.20 719 0.099 model3 -2.66 161 0.023 model4 -2.89 158 0.018 model5 -2.50 122 0.027 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).