Threading Zmax Znorm MUSTER 9.21 1.59 dPPAS 17.84 1.92 wdPPAS 27.28 2.93 wMUSTER 13.09 2.26 wPPAS 33.76 4.82 dPPAS2 42.99 4.09 PPAS 24.57 3.51 Env-PPAS 29.19 3.65 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=3012) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -1.58 0.52+-0.15 10.5+-4.6 534 0.066 model2 -2.03 395 0.042 model3 -3.06 188 0.015 model4 -2.62 156 0.023 model5 -1.92 155 0.047 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).