| Project Name | sz |
| Project Name | sz |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 258.4 | 207.2 | 199.9 | 191.5 | 188.8 | 171.5 | 150.5 | 148.7 | 146.4 | 141.9 | 117.3 | 102.7 |
| Cluster size | 247 | 220 | 198 | 196 | 173 | 176 | 152 | 146 | 144 | 135 | 108 | 105 |
| Average cluster RMSD | 1.0 | 1.1 | 1.0 | 1.0 | 0.9 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.9 | 1.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.18 | 2.75 | 2.78 | 3.06 | 3.01 | 2.86 | 2.61 | 3.12 | 3.02 | 2.93 | 3.12 | 3.06 |
| GDT_TS | 0.60 | 0.68 | 0.66 | 0.64 | 0.63 | 0.65 | 0.68 | 0.62 | 0.61 | 0.64 | 0.62 | 0.64 |
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 | 1.88 | 1.90 | 2.18 | 1.53 | 2.22 | 2.15 | 1.64 | 1.62 | 1.56 | 1.84 | 2.31 |
| 2 | 1.88 | 0.00 | 1.71 | 1.95 | 1.91 | 1.84 | 1.76 | 1.88 | 1.96 | 1.78 | 2.00 | 2.15 |
| 3 | 1.90 | 1.71 | 0.00 | 2.16 | 1.92 | 2.00 | 1.76 | 1.78 | 1.87 | 1.86 | 1.98 | 2.35 |
| 4 | 2.18 | 1.95 | 2.16 | 0.00 | 2.29 | 1.71 | 2.21 | 2.28 | 2.05 | 2.09 | 2.57 | 1.83 |
| 5 | 1.53 | 1.91 | 1.92 | 2.29 | 0.00 | 2.19 | 2.00 | 1.79 | 1.87 | 1.47 | 1.88 | 2.41 |
| 6 | 2.22 | 1.84 | 2.00 | 1.71 | 2.19 | 0.00 | 2.08 | 2.30 | 2.01 | 2.02 | 2.28 | 1.91 |
| 7 | 2.15 | 1.76 | 1.76 | 2.21 | 2.00 | 2.08 | 0.00 | 1.94 | 2.02 | 1.99 | 2.17 | 2.45 |
| 8 | 1.64 | 1.88 | 1.78 | 2.28 | 1.79 | 2.30 | 1.94 | 0.00 | 1.83 | 1.71 | 1.94 | 2.56 |
| 9 | 1.62 | 1.96 | 1.87 | 2.05 | 1.87 | 2.01 | 2.02 | 1.83 | 0.00 | 1.72 | 2.02 | 2.14 |
| 10 | 1.56 | 1.78 | 1.86 | 2.09 | 1.47 | 2.02 | 1.99 | 1.71 | 1.72 | 0.00 | 1.74 | 2.38 |
| 11 | 1.84 | 2.00 | 1.98 | 2.57 | 1.88 | 2.28 | 2.17 | 1.94 | 2.02 | 1.74 | 0.00 | 2.69 |
| 12 | 2.31 | 2.15 | 2.35 | 1.83 | 2.41 | 1.91 | 2.45 | 2.56 | 2.14 | 2.38 | 2.69 | 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 | 0.75 | 0.77 | 0.71 | 0.81 | 0.71 | 0.73 | 0.81 | 0.80 | 0.81 | 0.78 | 0.70 |
| 2 | 0.75 | 1.00 | 0.78 | 0.75 | 0.76 | 0.80 | 0.79 | 0.76 | 0.76 | 0.78 | 0.75 | 0.74 |
| 3 | 0.77 | 0.78 | 1.00 | 0.71 | 0.76 | 0.73 | 0.80 | 0.80 | 0.77 | 0.77 | 0.74 | 0.69 |
| 4 | 0.71 | 0.75 | 0.71 | 1.00 | 0.68 | 0.79 | 0.71 | 0.68 | 0.71 | 0.70 | 0.66 | 0.76 |
| 5 | 0.81 | 0.76 | 0.76 | 0.68 | 1.00 | 0.72 | 0.75 | 0.77 | 0.76 | 0.83 | 0.78 | 0.69 |
| 6 | 0.71 | 0.80 | 0.73 | 0.79 | 0.72 | 1.00 | 0.74 | 0.70 | 0.74 | 0.75 | 0.72 | 0.76 |
| 7 | 0.73 | 0.79 | 0.80 | 0.71 | 0.75 | 0.74 | 1.00 | 0.76 | 0.74 | 0.76 | 0.72 | 0.69 |
| 8 | 0.81 | 0.76 | 0.80 | 0.68 | 0.77 | 0.70 | 0.76 | 1.00 | 0.77 | 0.79 | 0.75 | 0.66 |
| 9 | 0.80 | 0.76 | 0.77 | 0.71 | 0.76 | 0.74 | 0.74 | 0.77 | 1.00 | 0.79 | 0.74 | 0.69 |
| 10 | 0.81 | 0.78 | 0.77 | 0.70 | 0.83 | 0.75 | 0.76 | 0.79 | 0.79 | 1.00 | 0.81 | 0.69 |
| 11 | 0.78 | 0.75 | 0.74 | 0.66 | 0.78 | 0.72 | 0.72 | 0.75 | 0.74 | 0.81 | 1.00 | 0.65 |
| 12 | 0.70 | 0.74 | 0.69 | 0.76 | 0.69 | 0.76 | 0.69 | 0.66 | 0.69 | 0.69 | 0.65 | 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