Threading Zmax Znorm MUSTER 21.02 3.62 dPPAS 37.26 4.01 wdPPAS 61.73 6.64 wMUSTER 28.86 4.98 wPPAS 53.94 7.71 dPPAS2 82.56 7.86 PPAS 48.75 6.96 Env-PPAS 8.52 1.07 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=9402) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.98 0.48+-0.15 12.5+-4.3 1500 0.026 model2 -1.74 1206 0.033 model3 -0.86 714 0.079 model4 -2.93 524 0.010 model5 -4.06 188 0.003 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).