Threading Zmax Znorm MUSTER 9.04 1.56 dPPAS 10.86 1.17 wdPPAS 16.27 1.75 wMUSTER 10.83 1.87 wPPAS 22.84 3.26 dPPAS2 20.55 1.96 PPAS 20.05 2.86 Env-PPAS 10.82 1.35 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=3765) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -3.18 0.36+-0.12 16.1+-3.1 567 0.021 model2 -3.28 483 0.019 model3 -3.56 405 0.014 model4 -3.35 439 0.018 model5 -3.41 320 0.017 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).