Threading Zmax Znorm MUSTER 8.40 1.45 dPPAS 16.34 1.76 wdPPAS 26.56 2.86 wMUSTER 11.54 1.99 wPPAS 32.87 4.70 dPPAS2 40.38 3.85 PPAS 23.30 3.33 Env-PPAS 33.51 4.19 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=4518) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -3.14 0.36+-0.12 14.6+-3.7 487 0.014 model2 -3.52 281 0.010 model3 -3.94 212 0.006 model4 -3.69 186 0.008 model5 -2.17 169 0.038 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).