| Project Name | control_end |
| Project Name | control_end |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 175.3 | 172.4 | 168.0 | 160.0 | 155.4 | 139.6 | 128.5 | 112.1 | 99.8 | 68.2 | 58.6 | 54.1 |
| Cluster size | 215 | 242 | 258 | 189 | 183 | 191 | 194 | 176 | 149 | 78 | 68 | 57 |
| Average cluster RMSD | 1.2 | 1.4 | 1.5 | 1.2 | 1.2 | 1.4 | 1.5 | 1.6 | 1.5 | 1.1 | 1.2 | 1.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.26 | 4.00 | 4.12 | 4.83 | 3.41 | 5.13 | 4.10 | 4.59 | 3.42 | 4.58 | 4.45 | 4.25 |
| GDT_TS | 0.64 | 0.63 | 0.67 | 0.62 | 0.68 | 0.56 | 0.67 | 0.62 | 0.67 | 0.57 | 0.66 | 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 | 2.85 | 2.15 | 3.97 | 3.78 | 4.46 | 2.12 | 2.83 | 1.27 | 4.01 | 2.41 | 2.58 |
| 2 | 2.85 | 0.00 | 1.70 | 1.52 | 2.64 | 2.09 | 1.99 | 2.36 | 2.04 | 1.96 | 2.69 | 2.94 |
| 3 | 2.15 | 1.70 | 0.00 | 2.31 | 3.41 | 2.79 | 0.67 | 1.23 | 1.56 | 2.83 | 1.46 | 1.94 |
| 4 | 3.97 | 1.52 | 2.31 | 0.00 | 2.96 | 1.11 | 2.62 | 2.55 | 3.14 | 2.14 | 3.22 | 3.50 |
| 5 | 3.78 | 2.64 | 3.41 | 2.96 | 0.00 | 3.20 | 3.61 | 3.71 | 3.39 | 3.07 | 4.35 | 4.28 |
| 6 | 4.46 | 2.09 | 2.79 | 1.11 | 3.20 | 0.00 | 3.04 | 2.74 | 3.70 | 2.26 | 3.54 | 3.78 |
| 7 | 2.12 | 1.99 | 0.67 | 2.62 | 3.61 | 3.04 | 0.00 | 1.12 | 1.60 | 2.93 | 1.23 | 1.63 |
| 8 | 2.83 | 2.36 | 1.23 | 2.55 | 3.71 | 2.74 | 1.12 | 0.00 | 2.44 | 3.03 | 1.42 | 1.68 |
| 9 | 1.27 | 2.04 | 1.56 | 3.14 | 3.39 | 3.70 | 1.60 | 2.44 | 0.00 | 3.20 | 2.24 | 2.51 |
| 10 | 4.01 | 1.96 | 2.83 | 2.14 | 3.07 | 2.26 | 2.93 | 3.03 | 3.20 | 0.00 | 3.58 | 3.49 |
| 11 | 2.41 | 2.69 | 1.46 | 3.22 | 4.35 | 3.54 | 1.23 | 1.42 | 2.24 | 3.58 | 0.00 | 1.39 |
| 12 | 2.58 | 2.94 | 1.94 | 3.50 | 4.28 | 3.78 | 1.63 | 1.68 | 2.51 | 3.49 | 1.39 | 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 | 0.67 | 0.75 | 0.59 | 0.58 | 0.55 | 0.78 | 0.72 | 0.89 | 0.68 | 0.77 | 0.74 |
| 2 | 0.67 | 1.00 | 0.79 | 0.85 | 0.70 | 0.78 | 0.75 | 0.71 | 0.77 | 0.87 | 0.73 | 0.68 |
| 3 | 0.75 | 0.79 | 1.00 | 0.75 | 0.59 | 0.70 | 0.98 | 0.91 | 0.84 | 0.75 | 0.89 | 0.79 |
| 4 | 0.59 | 0.85 | 0.75 | 1.00 | 0.69 | 0.91 | 0.70 | 0.69 | 0.66 | 0.82 | 0.65 | 0.62 |
| 5 | 0.58 | 0.70 | 0.59 | 0.69 | 1.00 | 0.65 | 0.57 | 0.59 | 0.59 | 0.67 | 0.52 | 0.48 |
| 6 | 0.55 | 0.78 | 0.70 | 0.91 | 0.65 | 1.00 | 0.64 | 0.67 | 0.61 | 0.79 | 0.60 | 0.59 |
| 7 | 0.78 | 0.75 | 0.98 | 0.70 | 0.57 | 0.64 | 1.00 | 0.93 | 0.85 | 0.71 | 0.90 | 0.82 |
| 8 | 0.72 | 0.71 | 0.91 | 0.69 | 0.59 | 0.67 | 0.93 | 1.00 | 0.77 | 0.71 | 0.87 | 0.83 |
| 9 | 0.89 | 0.77 | 0.84 | 0.66 | 0.59 | 0.61 | 0.85 | 0.77 | 1.00 | 0.74 | 0.87 | 0.79 |
| 10 | 0.68 | 0.87 | 0.75 | 0.82 | 0.67 | 0.79 | 0.71 | 0.71 | 0.74 | 1.00 | 0.68 | 0.64 |
| 11 | 0.77 | 0.73 | 0.89 | 0.65 | 0.52 | 0.60 | 0.90 | 0.87 | 0.87 | 0.68 | 1.00 | 0.88 |
| 12 | 0.74 | 0.68 | 0.79 | 0.62 | 0.48 | 0.59 | 0.82 | 0.83 | 0.79 | 0.64 | 0.88 | 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