Threading Zmax Znorm MUSTER 19.59 3.38 dPPAS 37.18 4.00 wdPPAS 46.63 5.01 wMUSTER 25.83 4.45 wPPAS 35.92 5.13 dPPAS2 102.87 9.80 PPAS 32.03 4.58 Env-PPAS 31.93 3.99 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=11538) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 0.78 0.82+-0.08 2.5+-1.9 9114 0.432 model2 -1.64 1063 0.038 model3 -2.23 424 0.021 model4 -3.03 195 0.010 model5 -2.64 131 0.014 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).