Threading Zmax Znorm MUSTER 9.50 1.64 dPPAS 12.66 1.36 wdPPAS 18.03 1.94 wMUSTER 11.02 1.90 wPPAS 18.40 2.63 dPPAS2 28.44 2.71 PPAS 17.19 2.46 Env-PPAS 10.48 1.31 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=3765) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.50 0.42+-0.14 13.9+-3.9 753 0.041 model2 -1.65 716 0.097 model3 -3.48 182 0.015 model4 -2.14 177 0.059 model5 -2.26 157 0.052 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).