Threading Zmax Znorm MUSTER 7.91 1.36 dPPAS 14.67 1.58 wdPPAS 26.03 2.80 wMUSTER 10.91 1.88 wPPAS 32.66 4.67 dPPAS2 35.89 3.42 PPAS 23.86 3.41 Env-PPAS 33.87 4.23 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=3765) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -3.00 0.37+-0.13 14.4+-3.7 484 0.017 model2 -3.27 258 0.013 model3 -3.90 160 0.007 model4 -2.05 138 0.044 model5 -4.20 116 0.005 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).