Threading Zmax Znorm MUSTER 21.73 3.75 dPPAS 33.77 3.63 wdPPAS 50.97 5.48 wMUSTER 27.74 4.78 wPPAS 48.66 6.95 dPPAS2 71.09 6.77 PPAS 43.07 6.15 Env-PPAS 8.74 1.09 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=9036) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.63 0.52+-0.15 11.3+-4.5 1506 0.040 model2 -1.27 753 0.058 model3 -1.87 753 0.032 model4 -1.90 752 0.031 model5 -2.92 515 0.011 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).