Threading Zmax Znorm MUSTER 8.44 1.45 dPPAS 16.91 1.82 wdPPAS 27.15 2.92 wMUSTER 11.22 1.93 wPPAS 31.06 4.44 dPPAS2 43.47 4.14 PPAS 23.19 3.31 Env-PPAS 37.66 4.71 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=7020) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.34 0.44+-0.14 12.4+-4.3 314 0.031 model2 -3.48 314 0.010 model3 -2.72 288 0.021 model4 -2.57 268 0.025 model5 -3.94 227 0.006 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).