Threading Zmax Znorm MUSTER 7.82 1.35 dPPAS 13.76 1.48 wdPPAS 25.13 2.70 wMUSTER 10.76 1.85 wPPAS 31.98 4.57 dPPAS2 33.79 3.22 PPAS 23.40 3.34 Env-PPAS 29.20 3.65 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=5271) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.64 0.41+-0.14 13.6+-4.0 753 0.026 model2 -3.46 382 0.011 model3 -3.45 358 0.011 model4 -3.12 312 0.016 model5 -2.89 179 0.020 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).