| Project Name | mutation50 |
| Project Name | mutation50 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 252.1 | 188.6 | 173.2 | 148.3 | 146.5 | 129.7 | 117.8 | 116.0 | 112.8 | 108.0 | 77.0 | 64.5 |
| Cluster size | 284 | 275 | 195 | 177 | 219 | 137 | 151 | 113 | 152 | 107 | 118 | 72 |
| Average cluster RMSD | 1.1 | 1.5 | 1.1 | 1.2 | 1.5 | 1.1 | 1.3 | 1.0 | 1.3 | 1.0 | 1.5 | 1.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.90 | 4.14 | 4.98 | 4.08 | 3.98 | 4.28 | 3.94 | 4.37 | 4.25 | 4.62 | 5.32 | 6.05 |
| GDT_TS | 0.54 | 0.55 | 0.54 | 0.57 | 0.57 | 0.53 | 0.61 | 0.58 | 0.55 | 0.56 | 0.51 | 0.46 |
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 | 1.87 | 3.03 | 1.66 | 2.10 | 2.34 | 3.29 | 2.11 | 3.71 | 2.38 | 3.04 | 5.41 |
| 2 | 1.87 | 0.00 | 3.40 | 1.98 | 1.24 | 1.64 | 2.17 | 2.87 | 2.53 | 3.07 | 3.68 | 4.82 |
| 3 | 3.03 | 3.40 | 0.00 | 2.73 | 4.06 | 3.54 | 4.90 | 2.15 | 4.56 | 2.20 | 1.91 | 4.94 |
| 4 | 1.66 | 1.98 | 2.73 | 0.00 | 2.15 | 1.89 | 3.14 | 1.55 | 3.47 | 1.87 | 3.05 | 5.06 |
| 5 | 2.10 | 1.24 | 4.06 | 2.15 | 0.00 | 1.77 | 1.80 | 3.16 | 2.69 | 3.41 | 4.32 | 4.85 |
| 6 | 2.34 | 1.64 | 3.54 | 1.89 | 1.77 | 0.00 | 2.10 | 2.92 | 2.74 | 3.24 | 4.17 | 5.33 |
| 7 | 3.29 | 2.17 | 4.90 | 3.14 | 1.80 | 2.10 | 0.00 | 4.22 | 2.06 | 4.45 | 5.46 | 5.46 |
| 8 | 2.11 | 2.87 | 2.15 | 1.55 | 3.16 | 2.92 | 4.22 | 0.00 | 4.30 | 0.72 | 2.17 | 5.03 |
| 9 | 3.71 | 2.53 | 4.56 | 3.47 | 2.69 | 2.74 | 2.06 | 4.30 | 0.00 | 4.45 | 5.23 | 5.13 |
| 10 | 2.38 | 3.07 | 2.20 | 1.87 | 3.41 | 3.24 | 4.45 | 0.72 | 4.45 | 0.00 | 2.04 | 5.02 |
| 11 | 3.04 | 3.68 | 1.91 | 3.05 | 4.32 | 4.17 | 5.46 | 2.17 | 5.23 | 2.04 | 0.00 | 5.17 |
| 12 | 5.41 | 4.82 | 4.94 | 5.06 | 4.85 | 5.33 | 5.46 | 5.03 | 5.13 | 5.02 | 5.17 | 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 | 0.76 | 0.80 | 0.82 | 0.79 | 0.72 | 0.77 | 0.62 | 0.75 | 0.70 | 0.60 |
| 2 | 0.80 | 1.00 | 0.74 | 0.80 | 0.92 | 0.86 | 0.79 | 0.73 | 0.70 | 0.72 | 0.66 | 0.54 |
| 3 | 0.76 | 0.74 | 1.00 | 0.78 | 0.67 | 0.62 | 0.60 | 0.82 | 0.57 | 0.81 | 0.85 | 0.61 |
| 4 | 0.80 | 0.80 | 0.78 | 1.00 | 0.80 | 0.84 | 0.73 | 0.84 | 0.67 | 0.80 | 0.69 | 0.56 |
| 5 | 0.82 | 0.92 | 0.67 | 0.80 | 1.00 | 0.83 | 0.84 | 0.71 | 0.71 | 0.69 | 0.61 | 0.55 |
| 6 | 0.79 | 0.86 | 0.62 | 0.84 | 0.83 | 1.00 | 0.82 | 0.72 | 0.71 | 0.70 | 0.62 | 0.51 |
| 7 | 0.72 | 0.79 | 0.60 | 0.73 | 0.84 | 0.82 | 1.00 | 0.64 | 0.79 | 0.66 | 0.57 | 0.50 |
| 8 | 0.77 | 0.73 | 0.82 | 0.84 | 0.71 | 0.72 | 0.64 | 1.00 | 0.60 | 0.97 | 0.77 | 0.58 |
| 9 | 0.62 | 0.70 | 0.57 | 0.67 | 0.71 | 0.71 | 0.79 | 0.60 | 1.00 | 0.61 | 0.55 | 0.49 |
| 10 | 0.75 | 0.72 | 0.81 | 0.80 | 0.69 | 0.70 | 0.66 | 0.97 | 0.61 | 1.00 | 0.80 | 0.58 |
| 11 | 0.70 | 0.66 | 0.85 | 0.69 | 0.61 | 0.62 | 0.57 | 0.77 | 0.55 | 0.80 | 1.00 | 0.60 |
| 12 | 0.60 | 0.54 | 0.61 | 0.56 | 0.55 | 0.51 | 0.50 | 0.58 | 0.49 | 0.58 | 0.60 | 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