Threading Zmax Znorm MUSTER 7.45 1.28 dPPAS 14.01 1.51 wdPPAS 27.89 3.00 wMUSTER 11.03 1.90 wPPAS 31.77 4.54 dPPAS2 36.84 3.51 PPAS 23.44 3.35 Env-PPAS 25.96 3.24 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=4164) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -2.90 0.38+-0.13 14.8+-3.6 693 0.020 model2 -3.10 465 0.016 model3 -3.49 355 0.011 model4 -2.81 216 0.022 model5 -3.28 186 0.013 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).