Threading Zmax Znorm MUSTER 9.04 1.56 dPPAS 14.04 1.51 wdPPAS 15.80 1.70 wMUSTER 10.35 1.78 wPPAS 13.33 1.90 dPPAS2 23.82 2.27 PPAS 12.28 1.75 Env-PPAS 14.41 1.80 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=8526) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -0.17 0.69+-0.12 4.7+-3.1 7685 0.472 model2 -2.33 988 0.054 model3 -2.30 749 0.056 model4 -5.00 25 0.002 model5 -1.16 2341 0.176 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).