| Project Name | 8 |
| Project Name | 8 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 405.5 | 383.6 | 251.7 | 247.0 | 226.2 | 160.2 | 139.6 | 68.2 | 60.4 | 54.2 | 49.7 | 44.8 |
| Cluster size | 366 | 332 | 247 | 231 | 219 | 172 | 139 | 71 | 67 | 63 | 56 | 37 |
| Average cluster RMSD | 0.9 | 0.9 | 1.0 | 0.9 | 1.0 | 1.1 | 1.0 | 1.0 | 1.1 | 1.2 | 1.1 | 0.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.85 | 2.67 | 3.10 | 3.21 | 2.93 | 2.80 | 2.71 | 2.53 | 3.33 | 2.94 | 3.06 | 2.88 |
| GDT_TS | 0.74 | 0.76 | 0.73 | 0.72 | 0.74 | 0.76 | 0.76 | 0.75 | 0.75 | 0.73 | 0.76 | 0.73 |
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 | 0.81 | 0.68 | 0.70 | 0.50 | 1.07 | 0.52 | 2.19 | 1.70 | 0.78 | 1.50 | 1.78 |
| 2 | 0.81 | 0.00 | 0.92 | 1.18 | 0.77 | 1.19 | 0.63 | 2.17 | 1.87 | 1.19 | 1.69 | 1.71 |
| 3 | 0.68 | 0.92 | 0.00 | 0.46 | 0.62 | 1.25 | 0.70 | 2.45 | 1.57 | 1.12 | 1.50 | 1.80 |
| 4 | 0.70 | 1.18 | 0.46 | 0.00 | 0.77 | 1.31 | 0.87 | 2.50 | 1.63 | 1.06 | 1.47 | 1.90 |
| 5 | 0.50 | 0.77 | 0.62 | 0.77 | 0.00 | 1.11 | 0.46 | 2.31 | 1.69 | 0.91 | 1.61 | 1.74 |
| 6 | 1.07 | 1.19 | 1.25 | 1.31 | 1.11 | 0.00 | 1.21 | 1.91 | 1.42 | 0.94 | 1.84 | 1.98 |
| 7 | 0.52 | 0.63 | 0.70 | 0.87 | 0.46 | 1.21 | 0.00 | 2.25 | 1.76 | 1.03 | 1.55 | 1.66 |
| 8 | 2.19 | 2.17 | 2.45 | 2.50 | 2.31 | 1.91 | 2.25 | 0.00 | 2.04 | 2.25 | 2.67 | 2.66 |
| 9 | 1.70 | 1.87 | 1.57 | 1.63 | 1.69 | 1.42 | 1.76 | 2.04 | 0.00 | 1.85 | 2.02 | 2.40 |
| 10 | 0.78 | 1.19 | 1.12 | 1.06 | 0.91 | 0.94 | 1.03 | 2.25 | 1.85 | 0.00 | 1.69 | 1.98 |
| 11 | 1.50 | 1.69 | 1.50 | 1.47 | 1.61 | 1.84 | 1.55 | 2.67 | 2.02 | 1.69 | 0.00 | 2.20 |
| 12 | 1.78 | 1.71 | 1.80 | 1.90 | 1.74 | 1.98 | 1.66 | 2.66 | 2.40 | 1.98 | 2.20 | 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 | 0.96 | 0.99 | 0.98 | 1.00 | 0.98 | 0.99 | 0.93 | 0.96 | 0.97 | 0.96 | 0.92 |
| 2 | 0.96 | 1.00 | 0.97 | 0.92 | 0.98 | 0.97 | 0.98 | 0.92 | 0.90 | 0.92 | 0.94 | 0.93 |
| 3 | 0.99 | 0.97 | 1.00 | 1.00 | 0.98 | 0.96 | 0.97 | 0.91 | 0.96 | 0.96 | 0.97 | 0.89 |
| 4 | 0.98 | 0.92 | 1.00 | 1.00 | 0.95 | 0.94 | 0.97 | 0.91 | 0.94 | 0.97 | 0.96 | 0.88 |
| 5 | 1.00 | 0.98 | 0.98 | 0.95 | 1.00 | 0.97 | 1.00 | 0.93 | 0.96 | 0.96 | 0.96 | 0.92 |
| 6 | 0.98 | 0.97 | 0.96 | 0.94 | 0.97 | 1.00 | 0.98 | 0.91 | 0.94 | 0.96 | 0.93 | 0.90 |
| 7 | 0.99 | 0.98 | 0.97 | 0.97 | 1.00 | 0.98 | 1.00 | 0.93 | 0.95 | 0.96 | 0.96 | 0.94 |
| 8 | 0.93 | 0.92 | 0.91 | 0.91 | 0.93 | 0.91 | 0.93 | 1.00 | 0.92 | 0.92 | 0.90 | 0.86 |
| 9 | 0.96 | 0.90 | 0.96 | 0.94 | 0.96 | 0.94 | 0.95 | 0.92 | 1.00 | 0.96 | 0.94 | 0.87 |
| 10 | 0.97 | 0.92 | 0.96 | 0.97 | 0.96 | 0.96 | 0.96 | 0.92 | 0.96 | 1.00 | 0.94 | 0.88 |
| 11 | 0.96 | 0.94 | 0.97 | 0.96 | 0.96 | 0.93 | 0.96 | 0.90 | 0.94 | 0.94 | 1.00 | 0.90 |
| 12 | 0.92 | 0.93 | 0.89 | 0.88 | 0.92 | 0.90 | 0.94 | 0.86 | 0.87 | 0.88 | 0.90 | 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