| Project Name | mdst1 |
| Project Name | mdst1 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 242.4 | 232.5 | 175.7 | 172.4 | 168.5 | 158.6 | 121.3 | 117.0 | 112.8 | 82.4 | 46.0 | 43.7 |
| Cluster size | 286 | 284 | 208 | 206 | 214 | 189 | 149 | 145 | 124 | 98 | 55 | 42 |
| Average cluster RMSD | 1.2 | 1.2 | 1.2 | 1.2 | 1.3 | 1.2 | 1.2 | 1.2 | 1.1 | 1.2 | 1.2 | 1.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 1.57 | 1.60 | 1.77 | 1.69 | 1.61 | 1.70 | 1.90 | 1.86 | 1.84 | 1.81 | 2.10 | 2.33 |
| GDT_TS | 0.84 | 0.84 | 0.81 | 0.82 | 0.83 | 0.84 | 0.81 | 0.82 | 0.81 | 0.79 | 0.81 | 0.80 |
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 | 1.12 | 1.82 | 1.47 | 1.24 | 1.64 | 1.44 | 1.22 | 1.66 | 1.66 | 1.96 | 2.33 |
| 2 | 1.12 | 0.00 | 1.69 | 1.26 | 1.23 | 1.52 | 1.51 | 1.07 | 1.33 | 1.50 | 1.86 | 2.33 |
| 3 | 1.82 | 1.69 | 0.00 | 1.77 | 1.51 | 1.36 | 1.41 | 1.72 | 1.60 | 1.29 | 1.36 | 1.98 |
| 4 | 1.47 | 1.26 | 1.77 | 0.00 | 1.24 | 1.64 | 1.50 | 1.42 | 1.43 | 1.58 | 1.65 | 1.99 |
| 5 | 1.24 | 1.23 | 1.51 | 1.24 | 0.00 | 1.57 | 1.28 | 1.36 | 1.70 | 1.41 | 1.60 | 2.02 |
| 6 | 1.64 | 1.52 | 1.36 | 1.64 | 1.57 | 0.00 | 1.58 | 1.85 | 1.55 | 1.20 | 1.84 | 1.73 |
| 7 | 1.44 | 1.51 | 1.41 | 1.50 | 1.28 | 1.58 | 0.00 | 1.51 | 1.86 | 1.58 | 1.34 | 1.88 |
| 8 | 1.22 | 1.07 | 1.72 | 1.42 | 1.36 | 1.85 | 1.51 | 0.00 | 1.40 | 1.48 | 1.77 | 2.46 |
| 9 | 1.66 | 1.33 | 1.60 | 1.43 | 1.70 | 1.55 | 1.86 | 1.40 | 0.00 | 1.34 | 1.87 | 2.37 |
| 10 | 1.66 | 1.50 | 1.29 | 1.58 | 1.41 | 1.20 | 1.58 | 1.48 | 1.34 | 0.00 | 1.70 | 1.96 |
| 11 | 1.96 | 1.86 | 1.36 | 1.65 | 1.60 | 1.84 | 1.34 | 1.77 | 1.87 | 1.70 | 0.00 | 1.82 |
| 12 | 2.33 | 2.33 | 1.98 | 1.99 | 2.02 | 1.73 | 1.88 | 2.46 | 2.37 | 1.96 | 1.82 | 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 | 0.90 | 0.80 | 0.87 | 0.91 | 0.83 | 0.87 | 0.90 | 0.85 | 0.81 | 0.83 | 0.79 |
| 2 | 0.90 | 1.00 | 0.81 | 0.91 | 0.90 | 0.82 | 0.86 | 0.94 | 0.88 | 0.84 | 0.84 | 0.78 |
| 3 | 0.80 | 0.81 | 1.00 | 0.78 | 0.83 | 0.88 | 0.88 | 0.81 | 0.84 | 0.89 | 0.89 | 0.84 |
| 4 | 0.87 | 0.91 | 0.78 | 1.00 | 0.90 | 0.79 | 0.87 | 0.90 | 0.83 | 0.82 | 0.83 | 0.78 |
| 5 | 0.91 | 0.90 | 0.83 | 0.90 | 1.00 | 0.81 | 0.88 | 0.89 | 0.82 | 0.84 | 0.83 | 0.80 |
| 6 | 0.83 | 0.82 | 0.88 | 0.79 | 0.81 | 1.00 | 0.82 | 0.80 | 0.84 | 0.90 | 0.81 | 0.82 |
| 7 | 0.87 | 0.86 | 0.88 | 0.87 | 0.88 | 0.82 | 1.00 | 0.85 | 0.79 | 0.83 | 0.92 | 0.86 |
| 8 | 0.90 | 0.94 | 0.81 | 0.90 | 0.89 | 0.80 | 0.85 | 1.00 | 0.88 | 0.83 | 0.83 | 0.79 |
| 9 | 0.85 | 0.88 | 0.84 | 0.83 | 0.82 | 0.84 | 0.79 | 0.88 | 1.00 | 0.85 | 0.82 | 0.75 |
| 10 | 0.81 | 0.84 | 0.89 | 0.82 | 0.84 | 0.90 | 0.83 | 0.83 | 0.85 | 1.00 | 0.84 | 0.81 |
| 11 | 0.83 | 0.84 | 0.89 | 0.83 | 0.83 | 0.81 | 0.92 | 0.83 | 0.82 | 0.84 | 1.00 | 0.88 |
| 12 | 0.79 | 0.78 | 0.84 | 0.78 | 0.80 | 0.82 | 0.86 | 0.79 | 0.75 | 0.81 | 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