| Project Name | 10 |
| Project Name | 10 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 415.3 | 364.6 | 316.5 | 305.0 | 303.6 | 232.4 | 186.5 | 129.7 | 127.3 | 115.7 | 48.6 | 31.8 |
| Cluster size | 278 | 262 | 261 | 231 | 239 | 183 | 142 | 95 | 128 | 92 | 58 | 31 |
| Average cluster RMSD | 0.7 | 0.7 | 0.8 | 0.8 | 0.8 | 0.8 | 0.8 | 0.7 | 1.0 | 0.8 | 1.2 | 1.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 0.95 | 0.73 | 1.02 | 0.97 | 0.71 | 0.71 | 1.68 | 1.83 | 1.09 | 0.49 | 1.49 | 2.60 |
| GDT_TS | 0.96 | 0.99 | 0.98 | 0.95 | 0.98 | 0.96 | 0.94 | 0.93 | 0.92 | 1.00 | 0.92 | 0.92 |
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 | 0.50 | 0.54 | 0.68 | 0.88 | 0.58 | 1.64 | 1.88 | 1.06 | 0.84 | 1.42 | 2.60 |
| 2 | 0.50 | 0.00 | 0.59 | 0.60 | 0.69 | 0.56 | 1.62 | 1.83 | 0.94 | 0.57 | 1.34 | 2.56 |
| 3 | 0.54 | 0.59 | 0.00 | 0.54 | 0.76 | 0.66 | 1.44 | 1.68 | 0.92 | 0.94 | 1.42 | 2.47 |
| 4 | 0.68 | 0.60 | 0.54 | 0.00 | 0.59 | 0.66 | 1.29 | 1.52 | 0.60 | 0.83 | 1.38 | 2.46 |
| 5 | 0.88 | 0.69 | 0.76 | 0.59 | 0.00 | 0.58 | 1.37 | 1.50 | 0.55 | 0.61 | 1.39 | 2.38 |
| 6 | 0.58 | 0.56 | 0.66 | 0.66 | 0.58 | 0.00 | 1.52 | 1.72 | 0.81 | 0.62 | 1.49 | 2.56 |
| 7 | 1.64 | 1.62 | 1.44 | 1.29 | 1.37 | 1.52 | 0.00 | 0.56 | 1.25 | 1.67 | 1.97 | 2.08 |
| 8 | 1.88 | 1.83 | 1.68 | 1.52 | 1.50 | 1.72 | 0.56 | 0.00 | 1.38 | 1.80 | 2.07 | 1.86 |
| 9 | 1.06 | 0.94 | 0.92 | 0.60 | 0.55 | 0.81 | 1.25 | 1.38 | 0.00 | 0.93 | 1.58 | 2.40 |
| 10 | 0.84 | 0.57 | 0.94 | 0.83 | 0.61 | 0.62 | 1.67 | 1.80 | 0.93 | 0.00 | 1.45 | 2.55 |
| 11 | 1.42 | 1.34 | 1.42 | 1.38 | 1.39 | 1.49 | 1.97 | 2.07 | 1.58 | 1.45 | 0.00 | 2.73 |
| 12 | 2.60 | 2.56 | 2.47 | 2.46 | 2.38 | 2.56 | 2.08 | 1.86 | 2.40 | 2.55 | 2.73 | 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 | 0.99 | 0.98 | 0.95 | 0.99 | 0.95 | 0.95 | 0.93 | 0.96 | 0.96 | 0.92 |
| 2 | 1.00 | 1.00 | 0.99 | 0.98 | 0.98 | 0.99 | 0.95 | 0.95 | 0.96 | 0.99 | 0.96 | 0.92 |
| 3 | 0.99 | 0.99 | 1.00 | 1.00 | 0.98 | 0.98 | 0.96 | 0.96 | 0.96 | 0.98 | 0.96 | 0.92 |
| 4 | 0.98 | 0.98 | 1.00 | 1.00 | 0.99 | 0.99 | 0.98 | 0.96 | 0.99 | 0.96 | 0.96 | 0.92 |
| 5 | 0.95 | 0.98 | 0.98 | 0.99 | 1.00 | 0.98 | 0.96 | 0.96 | 1.00 | 0.98 | 0.93 | 0.93 |
| 6 | 0.99 | 0.99 | 0.98 | 0.99 | 0.98 | 1.00 | 0.96 | 0.96 | 0.95 | 0.99 | 0.95 | 0.92 |
| 7 | 0.95 | 0.95 | 0.96 | 0.98 | 0.96 | 0.96 | 1.00 | 0.99 | 0.96 | 0.95 | 0.93 | 0.93 |
| 8 | 0.95 | 0.95 | 0.96 | 0.96 | 0.96 | 0.96 | 0.99 | 1.00 | 0.96 | 0.95 | 0.92 | 0.93 |
| 9 | 0.93 | 0.96 | 0.96 | 0.99 | 1.00 | 0.95 | 0.96 | 0.96 | 1.00 | 0.96 | 0.92 | 0.90 |
| 10 | 0.96 | 0.99 | 0.98 | 0.96 | 0.98 | 0.99 | 0.95 | 0.95 | 0.96 | 1.00 | 0.95 | 0.92 |
| 11 | 0.96 | 0.96 | 0.96 | 0.96 | 0.93 | 0.95 | 0.93 | 0.92 | 0.92 | 0.95 | 1.00 | 0.90 |
| 12 | 0.92 | 0.92 | 0.92 | 0.92 | 0.93 | 0.92 | 0.93 | 0.93 | 0.90 | 0.92 | 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