| Project Name | mutation49 |
| Project Name | mutation49 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 105.6 | 104.7 | 100.9 | 98.7 | 98.2 | 96.9 | 95.9 | 86.1 | 72.3 | 67.2 | 65.8 | 33.5 |
| Cluster size | 198 | 203 | 192 | 241 | 221 | 175 | 180 | 139 | 148 | 128 | 113 | 62 |
| Average cluster RMSD | 1.9 | 1.9 | 1.9 | 2.4 | 2.3 | 1.8 | 1.9 | 1.6 | 2.0 | 1.9 | 1.7 | 1.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.53 | 5.44 | 5.04 | 4.31 | 4.03 | 4.29 | 4.81 | 4.57 | 4.97 | 4.27 | 4.87 | 4.61 |
| GDT_TS | 0.59 | 0.50 | 0.56 | 0.60 | 0.60 | 0.58 | 0.56 | 0.50 | 0.53 | 0.53 | 0.57 | 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 | 4.80 | 5.31 | 3.13 | 2.05 | 1.26 | 5.27 | 5.94 | 3.84 | 5.43 | 5.11 | 4.47 |
| 2 | 4.80 | 0.00 | 1.94 | 3.09 | 4.25 | 4.53 | 4.65 | 3.00 | 2.12 | 3.94 | 5.37 | 1.75 |
| 3 | 5.31 | 1.94 | 0.00 | 2.91 | 4.32 | 4.95 | 4.83 | 2.66 | 2.36 | 3.66 | 5.58 | 1.35 |
| 4 | 3.13 | 3.09 | 2.91 | 0.00 | 2.19 | 2.86 | 4.76 | 4.48 | 2.02 | 4.55 | 5.12 | 2.40 |
| 5 | 2.05 | 4.25 | 4.32 | 2.19 | 0.00 | 1.73 | 4.59 | 5.40 | 2.91 | 4.76 | 4.65 | 3.59 |
| 6 | 1.26 | 4.53 | 4.95 | 2.86 | 1.73 | 0.00 | 5.18 | 5.70 | 3.55 | 5.29 | 5.23 | 4.21 |
| 7 | 5.27 | 4.65 | 4.83 | 4.76 | 4.59 | 5.18 | 0.00 | 3.69 | 5.43 | 2.55 | 1.58 | 4.20 |
| 8 | 5.94 | 3.00 | 2.66 | 4.48 | 5.40 | 5.70 | 3.69 | 0.00 | 4.27 | 2.37 | 4.22 | 2.87 |
| 9 | 3.84 | 2.12 | 2.36 | 2.02 | 2.91 | 3.55 | 5.43 | 4.27 | 0.00 | 4.76 | 5.97 | 2.06 |
| 10 | 5.43 | 3.94 | 3.66 | 4.55 | 4.76 | 5.29 | 2.55 | 2.37 | 4.76 | 0.00 | 3.01 | 3.27 |
| 11 | 5.11 | 5.37 | 5.58 | 5.12 | 4.65 | 5.23 | 1.58 | 4.22 | 5.97 | 3.01 | 0.00 | 4.88 |
| 12 | 4.47 | 1.75 | 1.35 | 2.40 | 3.59 | 4.21 | 4.20 | 2.87 | 2.06 | 3.27 | 4.88 | 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 | 0.64 | 0.58 | 0.73 | 0.81 | 0.97 | 0.44 | 0.49 | 0.68 | 0.47 | 0.44 | 0.61 |
| 2 | 0.64 | 1.00 | 0.87 | 0.75 | 0.68 | 0.65 | 0.60 | 0.68 | 0.86 | 0.59 | 0.57 | 0.86 |
| 3 | 0.58 | 0.87 | 1.00 | 0.75 | 0.69 | 0.57 | 0.66 | 0.76 | 0.76 | 0.65 | 0.61 | 0.95 |
| 4 | 0.73 | 0.75 | 0.75 | 1.00 | 0.79 | 0.73 | 0.61 | 0.63 | 0.82 | 0.55 | 0.56 | 0.79 |
| 5 | 0.81 | 0.68 | 0.69 | 0.79 | 1.00 | 0.83 | 0.52 | 0.60 | 0.75 | 0.52 | 0.53 | 0.70 |
| 6 | 0.97 | 0.65 | 0.57 | 0.73 | 0.83 | 1.00 | 0.46 | 0.50 | 0.72 | 0.49 | 0.44 | 0.58 |
| 7 | 0.44 | 0.60 | 0.66 | 0.61 | 0.52 | 0.46 | 1.00 | 0.77 | 0.55 | 0.82 | 0.89 | 0.67 |
| 8 | 0.49 | 0.68 | 0.76 | 0.63 | 0.60 | 0.50 | 0.77 | 1.00 | 0.62 | 0.77 | 0.80 | 0.74 |
| 9 | 0.68 | 0.86 | 0.76 | 0.82 | 0.75 | 0.72 | 0.55 | 0.62 | 1.00 | 0.57 | 0.55 | 0.78 |
| 10 | 0.47 | 0.59 | 0.65 | 0.55 | 0.52 | 0.49 | 0.82 | 0.77 | 0.57 | 1.00 | 0.83 | 0.64 |
| 11 | 0.44 | 0.57 | 0.61 | 0.56 | 0.53 | 0.44 | 0.89 | 0.80 | 0.55 | 0.83 | 1.00 | 0.63 |
| 12 | 0.61 | 0.86 | 0.95 | 0.79 | 0.70 | 0.58 | 0.67 | 0.74 | 0.78 | 0.64 | 0.63 | 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