Threading Zmax Znorm MUSTER 8.47 1.46 dPPAS 22.41 2.41 wdPPAS 30.92 3.32 wMUSTER 11.18 1.93 wPPAS 23.31 3.33 dPPAS2 53.87 5.13 PPAS 16.88 2.41 Env-PPAS 26.13 3.27 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=8769) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.81 0.39+-0.13 12.3+-4.4 1394 0.021 model2 -3.28 780 0.013 model3 -3.66 617 0.009 model4 -3.80 433 0.008 model5 -3.60 371 0.009 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).