| Project Name | sasa |
| Project Name | sasa |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 331.6 | 232.4 | 231.9 | 231.1 | 179.3 | 140.3 | 130.6 | 107.0 | 89.2 | 87.4 | 75.6 | 43.2 |
| Cluster size | 346 | 268 | 229 | 239 | 180 | 160 | 142 | 120 | 103 | 93 | 76 | 44 |
| Average cluster RMSD | 1.0 | 1.2 | 1.0 | 1.0 | 1.0 | 1.1 | 1.1 | 1.1 | 1.2 | 1.1 | 1.0 | 1.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.44 | 2.25 | 2.59 | 2.84 | 2.47 | 2.42 | 2.36 | 2.33 | 2.02 | 2.68 | 2.03 | 2.59 |
| GDT_TS | 0.76 | 0.78 | 0.77 | 0.76 | 0.75 | 0.75 | 0.80 | 0.77 | 0.78 | 0.77 | 0.79 | 0.74 |
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 | 1.56 | 1.31 | 2.06 | 1.53 | 1.83 | 1.61 | 2.06 | 2.20 | 1.93 | 2.00 | 2.34 |
| 2 | 1.56 | 0.00 | 1.53 | 2.04 | 1.64 | 1.77 | 1.44 | 1.97 | 2.28 | 1.94 | 2.12 | 2.15 |
| 3 | 1.31 | 1.53 | 0.00 | 1.80 | 1.32 | 1.58 | 1.48 | 1.89 | 2.24 | 1.72 | 2.09 | 2.19 |
| 4 | 2.06 | 2.04 | 1.80 | 0.00 | 1.96 | 1.87 | 1.98 | 2.19 | 2.85 | 1.34 | 2.22 | 1.82 |
| 5 | 1.53 | 1.64 | 1.32 | 1.96 | 0.00 | 1.39 | 1.78 | 2.09 | 2.19 | 1.90 | 2.06 | 2.27 |
| 6 | 1.83 | 1.77 | 1.58 | 1.87 | 1.39 | 0.00 | 1.86 | 2.08 | 2.13 | 1.88 | 2.01 | 2.07 |
| 7 | 1.61 | 1.44 | 1.48 | 1.98 | 1.78 | 1.86 | 0.00 | 1.56 | 2.27 | 1.89 | 2.14 | 2.17 |
| 8 | 2.06 | 1.97 | 1.89 | 2.19 | 2.09 | 2.08 | 1.56 | 0.00 | 2.30 | 2.12 | 2.12 | 1.97 |
| 9 | 2.20 | 2.28 | 2.24 | 2.85 | 2.19 | 2.13 | 2.27 | 2.30 | 0.00 | 2.83 | 1.79 | 2.60 |
| 10 | 1.93 | 1.94 | 1.72 | 1.34 | 1.90 | 1.88 | 1.89 | 2.12 | 2.83 | 0.00 | 2.22 | 1.86 |
| 11 | 2.00 | 2.12 | 2.09 | 2.22 | 2.06 | 2.01 | 2.14 | 2.12 | 1.79 | 2.22 | 0.00 | 1.87 |
| 12 | 2.34 | 2.15 | 2.19 | 1.82 | 2.27 | 2.07 | 2.17 | 1.97 | 2.60 | 1.86 | 1.87 | 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 | 0.85 | 0.86 | 0.77 | 0.82 | 0.79 | 0.83 | 0.76 | 0.82 | 0.77 | 0.80 | 0.74 |
| 2 | 0.85 | 1.00 | 0.86 | 0.80 | 0.84 | 0.81 | 0.85 | 0.80 | 0.78 | 0.80 | 0.82 | 0.76 |
| 3 | 0.86 | 0.86 | 1.00 | 0.81 | 0.89 | 0.87 | 0.84 | 0.81 | 0.85 | 0.82 | 0.83 | 0.79 |
| 4 | 0.77 | 0.80 | 0.81 | 1.00 | 0.76 | 0.83 | 0.78 | 0.77 | 0.78 | 0.87 | 0.81 | 0.86 |
| 5 | 0.82 | 0.84 | 0.89 | 0.76 | 1.00 | 0.88 | 0.80 | 0.78 | 0.83 | 0.79 | 0.82 | 0.76 |
| 6 | 0.79 | 0.81 | 0.87 | 0.83 | 0.88 | 1.00 | 0.80 | 0.79 | 0.84 | 0.81 | 0.83 | 0.82 |
| 7 | 0.83 | 0.85 | 0.84 | 0.78 | 0.80 | 0.80 | 1.00 | 0.86 | 0.78 | 0.81 | 0.80 | 0.78 |
| 8 | 0.76 | 0.80 | 0.81 | 0.77 | 0.78 | 0.79 | 0.86 | 1.00 | 0.77 | 0.77 | 0.77 | 0.79 |
| 9 | 0.82 | 0.78 | 0.85 | 0.78 | 0.83 | 0.84 | 0.78 | 0.77 | 1.00 | 0.76 | 0.83 | 0.78 |
| 10 | 0.77 | 0.80 | 0.82 | 0.87 | 0.79 | 0.81 | 0.81 | 0.77 | 0.76 | 1.00 | 0.81 | 0.83 |
| 11 | 0.80 | 0.82 | 0.83 | 0.81 | 0.82 | 0.83 | 0.80 | 0.77 | 0.83 | 0.81 | 1.00 | 0.83 |
| 12 | 0.74 | 0.76 | 0.79 | 0.86 | 0.76 | 0.82 | 0.78 | 0.79 | 0.78 | 0.83 | 0.83 | 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