Threading Zmax Znorm MUSTER 15.84 2.73 dPPAS 47.81 5.14 wdPPAS 58.98 6.34 wMUSTER 22.57 3.89 wPPAS 39.80 5.69 dPPAS2 102.47 9.76 PPAS 27.93 3.99 Env-PPAS 45.55 5.69 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=20200) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 1.17 0.87+-0.07 3.7+-2.6 18227 0.594 model2 -2.17 616 0.021 model3 -4.00 172 0.003 model4 -3.89 188 0.004 model5 -4.09 145 0.003 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).