| Project Name | 2 |
| Project Name | 2 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 256.0 | 211.8 | 200.5 | 198.5 | 183.5 | 180.2 | 141.6 | 140.1 | 131.7 | 72.2 | 56.1 | 46.1 |
| Cluster size | 299 | 213 | 238 | 247 | 193 | 170 | 169 | 131 | 139 | 88 | 58 | 55 |
| Average cluster RMSD | 1.2 | 1.0 | 1.2 | 1.2 | 1.1 | 0.9 | 1.2 | 0.9 | 1.1 | 1.2 | 1.0 | 1.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.80 | 4.83 | 4.09 | 3.53 | 3.93 | 4.09 | 3.61 | 3.82 | 4.61 | 4.06 | 4.63 | 4.09 |
| GDT_TS | 0.70 | 0.65 | 0.70 | 0.70 | 0.71 | 0.68 | 0.71 | 0.71 | 0.68 | 0.69 | 0.66 | 0.71 |
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 | 1.93 | 1.75 | 1.12 | 1.73 | 1.96 | 0.99 | 1.90 | 1.27 | 2.31 | 2.25 | 1.90 |
| 2 | 1.93 | 0.00 | 2.41 | 2.02 | 2.59 | 1.51 | 2.33 | 2.82 | 1.79 | 2.84 | 1.79 | 2.51 |
| 3 | 1.75 | 2.41 | 0.00 | 1.88 | 0.80 | 2.68 | 1.21 | 1.62 | 1.79 | 2.28 | 2.88 | 2.57 |
| 4 | 1.12 | 2.02 | 1.88 | 0.00 | 1.88 | 1.84 | 1.39 | 1.84 | 1.85 | 1.87 | 2.30 | 1.65 |
| 5 | 1.73 | 2.59 | 0.80 | 1.88 | 0.00 | 2.59 | 1.19 | 1.94 | 1.95 | 2.07 | 2.80 | 2.57 |
| 6 | 1.96 | 1.51 | 2.68 | 1.84 | 2.59 | 0.00 | 2.37 | 3.00 | 2.36 | 2.41 | 1.46 | 2.24 |
| 7 | 0.99 | 2.33 | 1.21 | 1.39 | 1.19 | 2.37 | 0.00 | 1.76 | 1.58 | 2.40 | 2.62 | 2.34 |
| 8 | 1.90 | 2.82 | 1.62 | 1.84 | 1.94 | 3.00 | 1.76 | 0.00 | 2.17 | 2.21 | 3.15 | 2.20 |
| 9 | 1.27 | 1.79 | 1.79 | 1.85 | 1.95 | 2.36 | 1.58 | 2.17 | 0.00 | 2.67 | 2.50 | 2.33 |
| 10 | 2.31 | 2.84 | 2.28 | 1.87 | 2.07 | 2.41 | 2.40 | 2.21 | 2.67 | 0.00 | 2.66 | 2.00 |
| 11 | 2.25 | 1.79 | 2.88 | 2.30 | 2.80 | 1.46 | 2.62 | 3.15 | 2.50 | 2.66 | 0.00 | 2.40 |
| 12 | 1.90 | 2.51 | 2.57 | 1.65 | 2.57 | 2.24 | 2.34 | 2.20 | 2.33 | 2.00 | 2.40 | 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 | 0.84 | 0.84 | 0.91 | 0.83 | 0.84 | 0.93 | 0.82 | 0.89 | 0.79 | 0.81 | 0.89 |
| 2 | 0.84 | 1.00 | 0.78 | 0.82 | 0.76 | 0.86 | 0.81 | 0.78 | 0.86 | 0.76 | 0.83 | 0.81 |
| 3 | 0.84 | 0.78 | 1.00 | 0.86 | 0.97 | 0.76 | 0.89 | 0.84 | 0.82 | 0.80 | 0.76 | 0.85 |
| 4 | 0.91 | 0.82 | 0.86 | 1.00 | 0.87 | 0.85 | 0.90 | 0.82 | 0.82 | 0.82 | 0.80 | 0.93 |
| 5 | 0.83 | 0.76 | 0.97 | 0.87 | 1.00 | 0.77 | 0.90 | 0.82 | 0.80 | 0.81 | 0.74 | 0.84 |
| 6 | 0.84 | 0.86 | 0.76 | 0.85 | 0.77 | 1.00 | 0.77 | 0.74 | 0.77 | 0.78 | 0.94 | 0.80 |
| 7 | 0.93 | 0.81 | 0.89 | 0.90 | 0.90 | 0.77 | 1.00 | 0.83 | 0.82 | 0.79 | 0.76 | 0.86 |
| 8 | 0.82 | 0.78 | 0.84 | 0.82 | 0.82 | 0.74 | 0.83 | 1.00 | 0.80 | 0.79 | 0.73 | 0.85 |
| 9 | 0.89 | 0.86 | 0.82 | 0.82 | 0.80 | 0.77 | 0.82 | 0.80 | 1.00 | 0.75 | 0.75 | 0.83 |
| 10 | 0.79 | 0.76 | 0.80 | 0.82 | 0.81 | 0.78 | 0.79 | 0.79 | 0.75 | 1.00 | 0.76 | 0.82 |
| 11 | 0.81 | 0.83 | 0.76 | 0.80 | 0.74 | 0.94 | 0.76 | 0.73 | 0.75 | 0.76 | 1.00 | 0.80 |
| 12 | 0.89 | 0.81 | 0.85 | 0.93 | 0.84 | 0.80 | 0.86 | 0.85 | 0.83 | 0.82 | 0.80 | 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