Threading Zmax Znorm MUSTER 5.32 0.92 dPPAS 10.88 1.17 wdPPAS 21.48 2.31 wMUSTER 7.00 1.21 wPPAS 20.22 2.89 dPPAS2 32.64 3.11 PPAS 14.56 2.08 Env-PPAS 33.12 4.14 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=2259) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.99 0.38+-0.13 15.1+-3.5 321 0.022 model2 -3.34 299 0.016 model3 -3.38 168 0.015 model4 -1.87 162 0.069 model5 -3.70 180 0.011 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).