Threading Zmax Znorm MUSTER 6.82 1.18 dPPAS 13.84 1.49 wdPPAS 23.45 2.52 wMUSTER 8.94 1.54 wPPAS 29.92 4.27 dPPAS2 30.08 2.86 PPAS 21.84 3.12 Env-PPAS 31.45 3.93 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=6777) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.07 0.47+-0.15 12.2+-4.4 696 0.048 model2 -3.99 312 0.007 model3 -4.22 221 0.006 model4 -4.28 196 0.005 model5 -4.44 188 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).