Threading Zmax Znorm MUSTER 28.35 4.89 dPPAS 67.06 7.21 wdPPAS 105.45 11.34 wMUSTER 35.76 6.17 wPPAS 88.27 12.61 dPPAS2 119.51 11.38 PPAS 70.19 10.03 Env-PPAS 10.21 1.28 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=4185) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.88 0.60+-0.14 10.6+-4.6 591 0.051 model2 -2.31 330 0.012 model3 -2.53 308 0.010 model4 -2.69 258 0.008 model5 -3.07 177 0.006 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).