| Project Name | 20 |
| Project Name | 20 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 506.0 | 414.4 | 397.6 | 377.0 | 274.6 | 221.0 | 198.4 | 167.0 | 156.9 | 116.6 | 107.1 | 33.7 |
| Cluster size | 300 | 243 | 277 | 227 | 219 | 140 | 163 | 115 | 101 | 83 | 98 | 34 |
| Average cluster RMSD | 0.6 | 0.6 | 0.7 | 0.6 | 0.8 | 0.6 | 0.8 | 0.7 | 0.6 | 0.7 | 0.9 | 1.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.42 | 2.04 | 2.16 | 2.76 | 2.05 | 2.09 | 1.94 | 2.27 | 3.04 | 3.18 | 2.12 | 1.62 |
| GDT_TS | 0.85 | 0.88 | 0.86 | 0.85 | 0.92 | 0.90 | 0.90 | 0.86 | 0.83 | 0.83 | 0.92 | 0.90 |
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 | 0.58 | 0.58 | 1.77 | 0.72 | 0.57 | 0.68 | 0.49 | 1.53 | 1.79 | 1.42 | 1.54 |
| 2 | 0.58 | 0.00 | 0.62 | 1.82 | 0.57 | 0.42 | 0.42 | 0.50 | 1.69 | 1.98 | 1.24 | 1.25 |
| 3 | 0.58 | 0.62 | 0.00 | 1.75 | 0.52 | 0.57 | 0.49 | 0.65 | 1.64 | 1.92 | 1.33 | 1.36 |
| 4 | 1.77 | 1.82 | 1.75 | 0.00 | 1.67 | 1.73 | 1.82 | 1.80 | 0.65 | 2.37 | 1.68 | 2.08 |
| 5 | 0.72 | 0.57 | 0.52 | 1.67 | 0.00 | 0.40 | 0.60 | 0.82 | 1.61 | 1.99 | 0.97 | 1.11 |
| 6 | 0.57 | 0.42 | 0.57 | 1.73 | 0.40 | 0.00 | 0.56 | 0.62 | 1.61 | 2.00 | 1.08 | 1.21 |
| 7 | 0.68 | 0.42 | 0.49 | 1.82 | 0.60 | 0.56 | 0.00 | 0.60 | 1.75 | 1.90 | 1.32 | 1.23 |
| 8 | 0.49 | 0.50 | 0.65 | 1.80 | 0.82 | 0.62 | 0.60 | 0.00 | 1.63 | 1.89 | 1.54 | 1.58 |
| 9 | 1.53 | 1.69 | 1.64 | 0.65 | 1.61 | 1.61 | 1.75 | 1.63 | 0.00 | 2.18 | 1.71 | 2.18 |
| 10 | 1.79 | 1.98 | 1.92 | 2.37 | 1.99 | 2.00 | 1.90 | 1.89 | 2.18 | 0.00 | 2.30 | 2.47 |
| 11 | 1.42 | 1.24 | 1.33 | 1.68 | 0.97 | 1.08 | 1.32 | 1.54 | 1.71 | 2.30 | 0.00 | 0.83 |
| 12 | 1.54 | 1.25 | 1.36 | 2.08 | 1.11 | 1.21 | 1.23 | 1.58 | 2.18 | 2.47 | 0.83 | 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 | 0.98 | 0.94 | 0.98 | 0.98 | 0.98 | 1.00 | 0.96 | 0.94 | 0.94 | 0.94 |
| 2 | 1.00 | 1.00 | 0.98 | 0.94 | 0.98 | 1.00 | 1.00 | 0.98 | 0.94 | 0.94 | 0.96 | 0.94 |
| 3 | 0.98 | 0.98 | 1.00 | 0.94 | 0.98 | 1.00 | 1.00 | 0.98 | 0.94 | 0.94 | 0.96 | 0.94 |
| 4 | 0.94 | 0.94 | 0.94 | 1.00 | 0.94 | 0.94 | 0.94 | 0.92 | 0.98 | 0.88 | 0.94 | 0.92 |
| 5 | 0.98 | 0.98 | 0.98 | 0.94 | 1.00 | 1.00 | 0.98 | 0.96 | 0.94 | 0.92 | 0.94 | 0.94 |
| 6 | 0.98 | 1.00 | 1.00 | 0.94 | 1.00 | 1.00 | 0.98 | 0.98 | 0.94 | 0.94 | 0.96 | 0.94 |
| 7 | 0.98 | 1.00 | 1.00 | 0.94 | 0.98 | 0.98 | 1.00 | 1.00 | 0.94 | 0.94 | 0.96 | 0.96 |
| 8 | 1.00 | 0.98 | 0.98 | 0.92 | 0.96 | 0.98 | 1.00 | 1.00 | 0.94 | 0.94 | 0.94 | 0.90 |
| 9 | 0.96 | 0.94 | 0.94 | 0.98 | 0.94 | 0.94 | 0.94 | 0.94 | 1.00 | 0.88 | 0.94 | 0.92 |
| 10 | 0.94 | 0.94 | 0.94 | 0.88 | 0.92 | 0.94 | 0.94 | 0.94 | 0.88 | 1.00 | 0.90 | 0.88 |
| 11 | 0.94 | 0.96 | 0.96 | 0.94 | 0.94 | 0.96 | 0.96 | 0.94 | 0.94 | 0.90 | 1.00 | 0.96 |
| 12 | 0.94 | 0.94 | 0.94 | 0.92 | 0.94 | 0.94 | 0.96 | 0.90 | 0.92 | 0.88 | 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