Threading Zmax Znorm MUSTER 28.24 4.87 dPPAS 68.48 7.36 wdPPAS 108.21 11.64 wMUSTER 38.99 6.72 wPPAS 89.75 12.82 dPPAS2 117.37 11.18 PPAS 75.21 10.74 Env-PPAS 10.36 1.30 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=2103) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.28 0.68+-0.12 9.2+-4.6 552 0.091 model2 -2.56 98 0.009 model3 -2.61 86 0.009 model4 -2.06 72 0.015 model5 -2.91 62 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).