Threading Zmax Znorm MUSTER 7.35 1.27 dPPAS 18.00 1.94 wdPPAS 21.15 2.27 wMUSTER 8.82 1.52 wPPAS 12.38 1.77 dPPAS2 15.49 1.48 PPAS 8.90 1.27 Env-PPAS 13.50 1.69 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=19554) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.83 0.61+-0.14 7.7+-4.3 13593 0.265 model2 -1.76 5063 0.104 model3 -1.99 3786 0.083 model4 -4.30 324 0.008 model5 -4.44 319 0.007 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).