Threading Zmax Znorm MUSTER 7.91 1.36 dPPAS 13.14 1.41 wdPPAS 19.61 2.11 wMUSTER 10.11 1.74 wPPAS 20.16 2.88 dPPAS2 29.82 2.84 PPAS 15.13 2.16 Env-PPAS 20.36 2.55 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=2259) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.53 0.65+-0.13 8.1+-4.4 1468 0.275 model2 -1.21 752 0.140 model3 -2.06 339 0.060 model4 -0.67 1161 0.240 model5 -2.71 123 0.031 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).