Threading Zmax Znorm MUSTER 17.00 2.93 dPPAS 57.14 6.14 wdPPAS 64.62 6.95 wMUSTER 22.24 3.83 wPPAS 39.72 5.67 dPPAS2 100.74 9.59 PPAS 31.64 4.52 Env-PPAS 37.98 4.75 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=11538) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.71 0.62+-0.14 6.6+-4.0 4780 0.089 model2 -2.05 1417 0.023 model3 -2.10 1396 0.022 model4 -2.86 576 0.010 model5 -2.33 1127 0.018 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).