Threading Zmax Znorm MUSTER 7.34 1.27 dPPAS 11.81 1.27 wdPPAS 23.25 2.50 wMUSTER 10.05 1.73 wPPAS 17.99 2.57 dPPAS2 25.16 2.40 PPAS 10.40 1.49 Env-PPAS 12.55 1.57 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=6267) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.13 0.70+-0.12 4.2+-2.8 5294 0.475 model2 -1.28 753 0.150 model3 -4.98 48 0.004 model4 -5.00 44 0.003 model5 -5.00 17 0.001 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).