| Project Name | MVKmutation |
| Project Name | MVKmutation |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 105.1 | 99.1 | 87.0 | 78.0 | 62.8 | 59.2 | 58.1 | 57.8 | 46.9 | 38.3 | 38.0 | 26.3 |
| Cluster size | 245 | 239 | 219 | 222 | 169 | 180 | 132 | 199 | 158 | 68 | 106 | 63 |
| Average cluster RMSD | 2.3 | 2.4 | 2.5 | 2.8 | 2.7 | 3.0 | 2.3 | 3.4 | 3.4 | 1.8 | 2.8 | 2.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.94 | 4.92 | 5.82 | 4.89 | 4.36 | 4.86 | 4.67 | 6.30 | 6.34 | 7.47 | 6.73 | 4.04 |
| GDT_TS | 0.51 | 0.51 | 0.50 | 0.51 | 0.51 | 0.50 | 0.53 | 0.50 | 0.47 | 0.59 | 0.55 | 0.56 |
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 | 0.66 | 1.81 | 1.81 | 2.14 | 2.45 | 1.80 | 3.29 | 2.61 | 5.75 | 4.55 | 3.36 |
| 2 | 0.66 | 0.00 | 1.86 | 1.97 | 2.13 | 2.48 | 1.98 | 3.14 | 2.56 | 5.53 | 4.37 | 3.30 |
| 3 | 1.81 | 1.86 | 0.00 | 2.79 | 2.82 | 3.18 | 3.02 | 3.15 | 2.30 | 5.49 | 4.23 | 3.93 |
| 4 | 1.81 | 1.97 | 2.79 | 0.00 | 2.90 | 1.60 | 2.38 | 3.29 | 2.91 | 5.80 | 4.77 | 3.52 |
| 5 | 2.14 | 2.13 | 2.82 | 2.90 | 0.00 | 3.09 | 2.84 | 3.53 | 3.31 | 5.42 | 4.24 | 2.46 |
| 6 | 2.45 | 2.48 | 3.18 | 1.60 | 3.09 | 0.00 | 3.01 | 3.42 | 3.29 | 5.66 | 4.70 | 3.18 |
| 7 | 1.80 | 1.98 | 3.02 | 2.38 | 2.84 | 3.01 | 0.00 | 4.41 | 3.67 | 6.98 | 5.90 | 4.22 |
| 8 | 3.29 | 3.14 | 3.15 | 3.29 | 3.53 | 3.42 | 4.41 | 0.00 | 1.70 | 3.63 | 2.59 | 3.95 |
| 9 | 2.61 | 2.56 | 2.30 | 2.91 | 3.31 | 3.29 | 3.67 | 1.70 | 0.00 | 4.53 | 3.50 | 4.32 |
| 10 | 5.75 | 5.53 | 5.49 | 5.80 | 5.42 | 5.66 | 6.98 | 3.63 | 4.53 | 0.00 | 2.23 | 5.36 |
| 11 | 4.55 | 4.37 | 4.23 | 4.77 | 4.24 | 4.70 | 5.90 | 2.59 | 3.50 | 2.23 | 0.00 | 4.08 |
| 12 | 3.36 | 3.30 | 3.93 | 3.52 | 2.46 | 3.18 | 4.22 | 3.95 | 4.32 | 5.36 | 4.08 | 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 | 0.98 | 0.81 | 0.96 | 0.81 | 0.94 | 0.91 | 0.80 | 0.78 | 0.78 | 0.87 | 0.78 |
| 2 | 0.98 | 1.00 | 0.79 | 0.96 | 0.79 | 0.95 | 0.91 | 0.85 | 0.79 | 0.80 | 0.86 | 0.74 |
| 3 | 0.81 | 0.79 | 1.00 | 0.79 | 0.74 | 0.80 | 0.74 | 0.78 | 0.82 | 0.66 | 0.73 | 0.68 |
| 4 | 0.96 | 0.96 | 0.79 | 1.00 | 0.76 | 0.97 | 0.89 | 0.83 | 0.78 | 0.77 | 0.85 | 0.72 |
| 5 | 0.81 | 0.79 | 0.74 | 0.76 | 1.00 | 0.76 | 0.78 | 0.70 | 0.70 | 0.71 | 0.76 | 0.87 |
| 6 | 0.94 | 0.95 | 0.80 | 0.97 | 0.76 | 1.00 | 0.89 | 0.84 | 0.79 | 0.76 | 0.83 | 0.74 |
| 7 | 0.91 | 0.91 | 0.74 | 0.89 | 0.78 | 0.89 | 1.00 | 0.82 | 0.78 | 0.78 | 0.87 | 0.76 |
| 8 | 0.80 | 0.85 | 0.78 | 0.83 | 0.70 | 0.84 | 0.82 | 1.00 | 0.89 | 0.72 | 0.78 | 0.68 |
| 9 | 0.78 | 0.79 | 0.82 | 0.78 | 0.70 | 0.79 | 0.78 | 0.89 | 1.00 | 0.69 | 0.73 | 0.67 |
| 10 | 0.78 | 0.80 | 0.66 | 0.77 | 0.71 | 0.76 | 0.78 | 0.72 | 0.69 | 1.00 | 0.83 | 0.68 |
| 11 | 0.87 | 0.86 | 0.73 | 0.85 | 0.76 | 0.83 | 0.87 | 0.78 | 0.73 | 0.83 | 1.00 | 0.74 |
| 12 | 0.78 | 0.74 | 0.68 | 0.72 | 0.87 | 0.74 | 0.76 | 0.68 | 0.67 | 0.68 | 0.74 | 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