Threading Zmax Znorm MUSTER 9.38 1.62 dPPAS 13.76 1.48 wdPPAS 19.64 2.11 wMUSTER 12.44 2.15 wPPAS 17.54 2.51 dPPAS2 32.98 3.14 PPAS 13.17 1.88 Env-PPAS 17.25 2.16 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=4008) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.18 0.57+-0.15 6.5+-4.0 2782 0.145 model2 -2.45 688 0.041 model3 -2.74 547 0.030 model4 -2.72 419 0.031 model5 -4.19 42 0.007 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).