Threading Zmax Znorm MUSTER 17.88 3.08 dPPAS 40.69 4.38 wdPPAS 46.88 5.04 wMUSTER 22.50 3.88 wPPAS 37.75 5.39 dPPAS2 100.87 9.61 PPAS 29.54 4.22 Env-PPAS 43.79 5.47 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=20200) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 1.05 0.86+-0.07 3.3+-2.3 18908 0.554 model2 -1.94 1167 0.028 model3 -4.89 71 0.001 model4 -5.00 26 0.001 model5 -5.00 38 0.001 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).