Threading Zmax Znorm MUSTER 9.23 1.59 dPPAS 14.64 1.57 wdPPAS 29.92 3.22 wMUSTER 11.88 2.05 wPPAS 27.44 3.92 dPPAS2 43.51 4.14 PPAS 18.03 2.58 Env-PPAS 25.35 3.17 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=4008) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.78 0.61+-0.14 7.8+-4.4 2759 0.164 model2 -1.14 1581 0.115 model3 -1.29 1528 0.099 model4 -1.78 725 0.060 model5 -3.13 150 0.016 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).