Threading Zmax Znorm MUSTER 23.24 4.01 dPPAS 45.52 4.90 wdPPAS 68.89 7.41 wMUSTER 32.52 5.61 wPPAS 55.98 8.00 dPPAS2 92.26 8.79 PPAS 52.75 7.54 Env-PPAS 4.02 0.50 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=3765) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.73 0.62+-0.14 9.5+-4.6 753 0.083 model2 -0.73 753 0.082 model3 -0.42 753 0.113 model4 -2.39 244 0.016 model5 -2.69 119 0.012 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).