| Project Name | 146mutation |
| Project Name | 146mutation |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 146.0 | 140.8 | 137.0 | 121.4 | 120.4 | 108.4 | 107.7 | 105.9 | 78.7 | 72.3 | 53.2 | 43.0 |
| Cluster size | 212 | 231 | 241 | 192 | 162 | 170 | 181 | 145 | 167 | 150 | 105 | 44 |
| Average cluster RMSD | 1.5 | 1.6 | 1.8 | 1.6 | 1.3 | 1.6 | 1.7 | 1.4 | 2.1 | 2.1 | 2.0 | 1.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.93 | 5.49 | 4.89 | 5.93 | 4.09 | 4.78 | 4.75 | 5.22 | 3.51 | 3.36 | 5.15 | 7.99 |
| GDT_TS | 0.58 | 0.54 | 0.56 | 0.48 | 0.59 | 0.49 | 0.55 | 0.48 | 0.60 | 0.63 | 0.56 | 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 | 3.22 | 3.88 | 3.44 | 3.28 | 2.98 | 4.04 | 3.94 | 1.06 | 4.19 | 2.46 | 5.83 |
| 2 | 3.22 | 0.00 | 2.39 | 2.24 | 3.55 | 4.51 | 2.72 | 5.22 | 3.24 | 5.70 | 1.70 | 3.85 |
| 3 | 3.88 | 2.39 | 0.00 | 3.30 | 3.34 | 4.82 | 1.87 | 5.05 | 3.71 | 5.50 | 3.01 | 4.72 |
| 4 | 3.44 | 2.24 | 3.30 | 0.00 | 3.53 | 3.62 | 3.51 | 4.17 | 3.61 | 5.37 | 2.23 | 3.27 |
| 5 | 3.28 | 3.55 | 3.34 | 3.53 | 0.00 | 2.80 | 2.78 | 3.23 | 3.03 | 3.49 | 3.27 | 5.29 |
| 6 | 2.98 | 4.51 | 4.82 | 3.62 | 2.80 | 0.00 | 4.66 | 1.93 | 3.01 | 3.40 | 3.55 | 5.77 |
| 7 | 4.04 | 2.72 | 1.87 | 3.51 | 2.78 | 4.66 | 0.00 | 4.85 | 3.87 | 5.41 | 3.27 | 4.84 |
| 8 | 3.94 | 5.22 | 5.05 | 4.17 | 3.23 | 1.93 | 4.85 | 0.00 | 3.92 | 4.05 | 4.37 | 5.60 |
| 9 | 1.06 | 3.24 | 3.71 | 3.61 | 3.03 | 3.01 | 3.87 | 3.92 | 0.00 | 4.07 | 2.57 | 6.01 |
| 10 | 4.19 | 5.70 | 5.50 | 5.37 | 3.49 | 3.40 | 5.41 | 4.05 | 4.07 | 0.00 | 5.16 | 7.45 |
| 11 | 2.46 | 1.70 | 3.01 | 2.23 | 3.27 | 3.55 | 3.27 | 4.37 | 2.57 | 5.16 | 0.00 | 4.23 |
| 12 | 5.83 | 3.85 | 4.72 | 3.27 | 5.29 | 5.77 | 4.84 | 5.60 | 6.01 | 7.45 | 4.23 | 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 | 0.81 | 0.63 | 0.74 | 0.67 | 0.72 | 0.62 | 0.59 | 0.90 | 0.59 | 0.82 | 0.69 |
| 2 | 0.81 | 1.00 | 0.72 | 0.78 | 0.66 | 0.62 | 0.70 | 0.51 | 0.74 | 0.58 | 0.83 | 0.79 |
| 3 | 0.63 | 0.72 | 1.00 | 0.64 | 0.69 | 0.54 | 0.79 | 0.57 | 0.62 | 0.58 | 0.67 | 0.57 |
| 4 | 0.74 | 0.78 | 0.64 | 1.00 | 0.64 | 0.69 | 0.62 | 0.66 | 0.65 | 0.56 | 0.76 | 0.78 |
| 5 | 0.67 | 0.66 | 0.69 | 0.64 | 1.00 | 0.69 | 0.70 | 0.69 | 0.68 | 0.72 | 0.63 | 0.55 |
| 6 | 0.72 | 0.62 | 0.54 | 0.69 | 0.69 | 1.00 | 0.58 | 0.81 | 0.70 | 0.61 | 0.65 | 0.60 |
| 7 | 0.62 | 0.70 | 0.79 | 0.62 | 0.70 | 0.58 | 1.00 | 0.62 | 0.64 | 0.56 | 0.62 | 0.58 |
| 8 | 0.59 | 0.51 | 0.57 | 0.66 | 0.69 | 0.81 | 0.62 | 1.00 | 0.60 | 0.60 | 0.54 | 0.60 |
| 9 | 0.90 | 0.74 | 0.62 | 0.65 | 0.68 | 0.70 | 0.64 | 0.60 | 1.00 | 0.60 | 0.77 | 0.63 |
| 10 | 0.59 | 0.58 | 0.58 | 0.56 | 0.72 | 0.61 | 0.56 | 0.60 | 0.60 | 1.00 | 0.58 | 0.50 |
| 11 | 0.82 | 0.83 | 0.67 | 0.76 | 0.63 | 0.65 | 0.62 | 0.54 | 0.77 | 0.58 | 1.00 | 0.67 |
| 12 | 0.69 | 0.79 | 0.57 | 0.78 | 0.55 | 0.60 | 0.58 | 0.60 | 0.63 | 0.50 | 0.67 | 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