| Project Name | 1 |
| Project Name | 1 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 562.9 | 495.3 | 411.6 | 383.2 | 335.6 | 294.8 | 285.2 | 277.3 | 256.3 | 254.9 | 244.9 | 52.4 |
| Cluster size | 268 | 237 | 192 | 192 | 185 | 144 | 142 | 142 | 143 | 158 | 162 | 35 |
| Average cluster RMSD | 0.5 | 0.5 | 0.5 | 0.5 | 0.6 | 0.5 | 0.5 | 0.5 | 0.6 | 0.6 | 0.7 | 0.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 0.52 | 0.46 | 0.49 | 0.53 | 0.64 | 0.59 | 0.62 | 0.53 | 2.03 | 0.70 | 0.79 | 0.43 |
| GDT_TS | 0.98 | 1.00 | 1.00 | 0.98 | 0.98 | 0.98 | 0.98 | 0.98 | 0.94 | 0.96 | 0.96 | 1.00 |
The table contains RMSD and GDT_TS values (calculated on the Cα atoms) between the predicted models and the input structure. Note that GDT_TS metric is intended as a more accurate measurement than the more common RMSD.
Read more about the root-mean-square deviation (RMSD) measure
Read more about the global distance test (GDT, also written as GDT_TS to represent "total score") measure.
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 1 | 0.00 | 0.38 | 0.41 | 0.33 | 0.40 | 0.33 | 0.34 | 0.36 | 1.91 | 0.47 | 0.47 | 0.55 |
| 2 | 0.38 | 0.00 | 0.40 | 0.37 | 0.50 | 0.48 | 0.40 | 0.37 | 1.96 | 0.59 | 0.61 | 0.54 |
| 3 | 0.41 | 0.40 | 0.00 | 0.38 | 0.58 | 0.45 | 0.50 | 0.51 | 2.05 | 0.59 | 0.65 | 0.65 |
| 4 | 0.33 | 0.37 | 0.38 | 0.00 | 0.52 | 0.44 | 0.48 | 0.49 | 1.89 | 0.48 | 0.46 | 0.63 |
| 5 | 0.40 | 0.50 | 0.58 | 0.52 | 0.00 | 0.42 | 0.40 | 0.34 | 1.74 | 0.48 | 0.51 | 0.51 |
| 6 | 0.33 | 0.48 | 0.45 | 0.44 | 0.42 | 0.00 | 0.46 | 0.44 | 1.88 | 0.56 | 0.61 | 0.51 |
| 7 | 0.34 | 0.40 | 0.50 | 0.48 | 0.40 | 0.46 | 0.00 | 0.34 | 1.87 | 0.52 | 0.49 | 0.60 |
| 8 | 0.36 | 0.37 | 0.51 | 0.49 | 0.34 | 0.44 | 0.34 | 0.00 | 1.87 | 0.55 | 0.60 | 0.45 |
| 9 | 1.91 | 1.96 | 2.05 | 1.89 | 1.74 | 1.88 | 1.87 | 1.87 | 0.00 | 1.73 | 1.78 | 1.84 |
| 10 | 0.47 | 0.59 | 0.59 | 0.48 | 0.48 | 0.56 | 0.52 | 0.55 | 1.73 | 0.00 | 0.40 | 0.70 |
| 11 | 0.47 | 0.61 | 0.65 | 0.46 | 0.51 | 0.61 | 0.49 | 0.60 | 1.78 | 0.40 | 0.00 | 0.80 |
| 12 | 0.55 | 0.54 | 0.65 | 0.63 | 0.51 | 0.51 | 0.60 | 0.45 | 1.84 | 0.70 | 0.80 | 0.00 |
The table contains RMSD values (calculated on the Cα atoms) between the predicted models.
Read more about the root-mean-square deviation (RMSD) measure.
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 1 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 0.94 | 1.00 | 1.00 | 0.98 |
| 2 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 0.94 | 1.00 | 0.98 | 0.98 |
| 3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 1.00 | 1.00 | 0.98 | 0.94 | 1.00 | 0.98 | 0.98 |
| 4 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 1.00 | 1.00 | 0.98 | 0.94 | 1.00 | 1.00 | 0.96 |
| 5 | 1.00 | 1.00 | 0.98 | 0.98 | 1.00 | 1.00 | 1.00 | 1.00 | 0.94 | 1.00 | 1.00 | 0.98 |
| 6 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 0.94 | 1.00 | 0.98 | 1.00 |
| 7 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 0.94 | 1.00 | 1.00 | 0.98 |
| 8 | 1.00 | 1.00 | 0.98 | 0.98 | 1.00 | 1.00 | 1.00 | 1.00 | 0.94 | 0.98 | 0.96 | 1.00 |
| 9 | 0.94 | 0.94 | 0.94 | 0.94 | 0.94 | 0.94 | 0.94 | 0.94 | 1.00 | 0.94 | 0.92 | 0.94 |
| 10 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.94 | 1.00 | 1.00 | 0.96 |
| 11 | 1.00 | 0.98 | 0.98 | 1.00 | 1.00 | 0.98 | 1.00 | 0.96 | 0.92 | 1.00 | 1.00 | 0.96 |
| 12 | 0.98 | 0.98 | 0.98 | 0.96 | 0.98 | 1.00 | 0.98 | 1.00 | 0.94 | 0.96 | 0.96 | 1.00 |
The table contains GDT_TS values (calculated on the Cα atoms) between the predicted models.
Read more about the global distance test (GDT, also written as GDT_TS to represent "total score") measure.
© Laboratory of Theory of Biopolymers, Faculty of Chemistry, University of Warsaw 2013