| Project Name | mutationEG |
| Project Name | mutationEG |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 93.2 | 90.7 | 79.3 | 78.6 | 78.1 | 77.7 | 77.3 | 70.7 | 65.3 | 48.6 | 46.4 | 26.7 |
| Cluster size | 203 | 214 | 176 | 187 | 200 | 171 | 187 | 187 | 178 | 108 | 127 | 62 |
| Average cluster RMSD | 2.2 | 2.4 | 2.2 | 2.4 | 2.6 | 2.2 | 2.4 | 2.6 | 2.7 | 2.2 | 2.7 | 2.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.11 | 4.14 | 4.04 | 4.15 | 4.09 | 4.51 | 4.61 | 4.69 | 4.68 | 3.87 | 3.56 | 5.52 |
| GDT_TS | 0.62 | 0.58 | 0.59 | 0.61 | 0.58 | 0.58 | 0.58 | 0.57 | 0.56 | 0.61 | 0.66 | 0.55 |
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 | 4.30 | 4.23 | 3.93 | 3.72 | 2.32 | 2.29 | 2.83 | 3.47 | 4.83 | 2.55 | 2.08 |
| 2 | 4.30 | 0.00 | 1.49 | 2.30 | 1.99 | 4.22 | 3.47 | 3.62 | 2.64 | 2.17 | 3.39 | 4.21 |
| 3 | 4.23 | 1.49 | 0.00 | 2.01 | 1.59 | 4.03 | 3.37 | 3.38 | 2.38 | 1.76 | 3.25 | 4.32 |
| 4 | 3.93 | 2.30 | 2.01 | 0.00 | 1.77 | 4.05 | 2.94 | 3.81 | 3.04 | 2.38 | 3.05 | 4.16 |
| 5 | 3.72 | 1.99 | 1.59 | 1.77 | 0.00 | 3.59 | 3.01 | 3.36 | 2.64 | 2.02 | 3.00 | 3.97 |
| 6 | 2.32 | 4.22 | 4.03 | 4.05 | 3.59 | 0.00 | 2.96 | 1.95 | 2.83 | 4.24 | 2.79 | 1.99 |
| 7 | 2.29 | 3.47 | 3.37 | 2.94 | 3.01 | 2.96 | 0.00 | 2.98 | 2.98 | 3.93 | 2.60 | 2.80 |
| 8 | 2.83 | 3.62 | 3.38 | 3.81 | 3.36 | 1.95 | 2.98 | 0.00 | 1.86 | 3.57 | 3.02 | 2.66 |
| 9 | 3.47 | 2.64 | 2.38 | 3.04 | 2.64 | 2.83 | 2.98 | 1.86 | 0.00 | 2.73 | 3.11 | 3.34 |
| 10 | 4.83 | 2.17 | 1.76 | 2.38 | 2.02 | 4.24 | 3.93 | 3.57 | 2.73 | 0.00 | 3.49 | 4.84 |
| 11 | 2.55 | 3.39 | 3.25 | 3.05 | 3.00 | 2.79 | 2.60 | 3.02 | 3.11 | 3.49 | 0.00 | 3.48 |
| 12 | 2.08 | 4.21 | 4.32 | 4.16 | 3.97 | 1.99 | 2.80 | 2.66 | 3.34 | 4.84 | 3.48 | 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 | 0.80 | 0.78 | 0.75 | 0.81 | 0.76 | 0.79 | 0.81 | 0.82 | 0.80 | 0.80 | 0.77 |
| 2 | 0.80 | 1.00 | 0.93 | 0.81 | 0.92 | 0.76 | 0.86 | 0.81 | 0.87 | 0.82 | 0.72 | 0.80 |
| 3 | 0.78 | 0.93 | 1.00 | 0.79 | 0.89 | 0.74 | 0.86 | 0.81 | 0.88 | 0.87 | 0.71 | 0.81 |
| 4 | 0.75 | 0.81 | 0.79 | 1.00 | 0.81 | 0.69 | 0.82 | 0.72 | 0.76 | 0.79 | 0.66 | 0.77 |
| 5 | 0.81 | 0.92 | 0.89 | 0.81 | 1.00 | 0.83 | 0.82 | 0.82 | 0.88 | 0.88 | 0.70 | 0.83 |
| 6 | 0.76 | 0.76 | 0.74 | 0.69 | 0.83 | 1.00 | 0.74 | 0.85 | 0.81 | 0.81 | 0.71 | 0.86 |
| 7 | 0.79 | 0.86 | 0.86 | 0.82 | 0.82 | 0.74 | 1.00 | 0.81 | 0.80 | 0.86 | 0.73 | 0.84 |
| 8 | 0.81 | 0.81 | 0.81 | 0.72 | 0.82 | 0.85 | 0.81 | 1.00 | 0.87 | 0.83 | 0.67 | 0.83 |
| 9 | 0.82 | 0.87 | 0.88 | 0.76 | 0.88 | 0.81 | 0.80 | 0.87 | 1.00 | 0.87 | 0.70 | 0.84 |
| 10 | 0.80 | 0.82 | 0.87 | 0.79 | 0.88 | 0.81 | 0.86 | 0.83 | 0.87 | 1.00 | 0.72 | 0.85 |
| 11 | 0.80 | 0.72 | 0.71 | 0.66 | 0.70 | 0.71 | 0.73 | 0.67 | 0.70 | 0.72 | 1.00 | 0.70 |
| 12 | 0.77 | 0.80 | 0.81 | 0.77 | 0.83 | 0.86 | 0.84 | 0.83 | 0.84 | 0.85 | 0.70 | 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