| Project Name | 2xg7 |
| Project Name | 2xg7 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 208.0 | 189.4 | 184.3 | 165.9 | 158.4 | 123.2 | 96.2 | 93.5 | 81.6 | 68.7 | 44.2 | 29.7 |
| Cluster size | 297 | 211 | 296 | 205 | 209 | 174 | 114 | 150 | 105 | 101 | 81 | 57 |
| Average cluster RMSD | 1.4 | 1.1 | 1.6 | 1.2 | 1.3 | 1.4 | 1.2 | 1.6 | 1.3 | 1.5 | 1.8 | 1.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.70 | 2.92 | 3.18 | 3.53 | 3.01 | 3.76 | 2.52 | 2.87 | 3.35 | 3.14 | 3.15 | 3.79 |
| GDT_TS | 0.55 | 0.70 | 0.64 | 0.62 | 0.69 | 0.58 | 0.73 | 0.68 | 0.64 | 0.68 | 0.63 | 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 | 2.52 | 1.27 | 1.08 | 1.59 | 1.92 | 3.46 | 1.72 | 3.15 | 2.64 | 2.25 | 1.31 |
| 2 | 2.52 | 0.00 | 1.90 | 2.67 | 1.99 | 3.26 | 3.24 | 2.01 | 1.23 | 3.05 | 3.01 | 2.68 |
| 3 | 1.27 | 1.90 | 0.00 | 1.50 | 1.06 | 2.47 | 3.27 | 0.87 | 2.62 | 2.79 | 2.45 | 1.33 |
| 4 | 1.08 | 2.67 | 1.50 | 0.00 | 1.64 | 2.14 | 3.00 | 1.72 | 3.47 | 2.60 | 1.87 | 1.54 |
| 5 | 1.59 | 1.99 | 1.06 | 1.64 | 0.00 | 2.79 | 3.10 | 0.78 | 2.73 | 2.89 | 2.50 | 1.74 |
| 6 | 1.92 | 3.26 | 2.47 | 2.14 | 2.79 | 0.00 | 3.15 | 2.77 | 3.71 | 1.99 | 1.73 | 2.24 |
| 7 | 3.46 | 3.24 | 3.27 | 3.00 | 3.10 | 3.15 | 0.00 | 3.01 | 4.00 | 2.25 | 1.76 | 3.69 |
| 8 | 1.72 | 2.01 | 0.87 | 1.72 | 0.78 | 2.77 | 3.01 | 0.00 | 2.74 | 2.87 | 2.41 | 1.63 |
| 9 | 3.15 | 1.23 | 2.62 | 3.47 | 2.73 | 3.71 | 4.00 | 2.74 | 0.00 | 3.63 | 3.71 | 3.24 |
| 10 | 2.64 | 3.05 | 2.79 | 2.60 | 2.89 | 1.99 | 2.25 | 2.87 | 3.63 | 0.00 | 1.55 | 3.07 |
| 11 | 2.25 | 3.01 | 2.45 | 1.87 | 2.50 | 1.73 | 1.76 | 2.41 | 3.71 | 1.55 | 0.00 | 2.61 |
| 12 | 1.31 | 2.68 | 1.33 | 1.54 | 1.74 | 2.24 | 3.69 | 1.63 | 3.24 | 3.07 | 2.61 | 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 | 0.88 | 0.91 | 0.84 | 0.84 | 0.67 | 0.83 | 0.70 | 0.77 | 0.80 | 0.92 |
| 2 | 0.81 | 1.00 | 0.83 | 0.81 | 0.82 | 0.63 | 0.72 | 0.79 | 0.88 | 0.70 | 0.74 | 0.80 |
| 3 | 0.88 | 0.83 | 1.00 | 0.86 | 0.92 | 0.72 | 0.67 | 0.95 | 0.79 | 0.72 | 0.75 | 0.88 |
| 4 | 0.91 | 0.81 | 0.86 | 1.00 | 0.86 | 0.77 | 0.71 | 0.83 | 0.71 | 0.78 | 0.85 | 0.88 |
| 5 | 0.84 | 0.82 | 0.92 | 0.86 | 1.00 | 0.71 | 0.69 | 0.97 | 0.75 | 0.75 | 0.77 | 0.83 |
| 6 | 0.84 | 0.63 | 0.72 | 0.77 | 0.71 | 1.00 | 0.69 | 0.67 | 0.62 | 0.83 | 0.86 | 0.79 |
| 7 | 0.67 | 0.72 | 0.67 | 0.71 | 0.69 | 0.69 | 1.00 | 0.68 | 0.59 | 0.84 | 0.82 | 0.62 |
| 8 | 0.83 | 0.79 | 0.95 | 0.83 | 0.97 | 0.67 | 0.68 | 1.00 | 0.76 | 0.72 | 0.74 | 0.82 |
| 9 | 0.70 | 0.88 | 0.79 | 0.71 | 0.75 | 0.62 | 0.59 | 0.76 | 1.00 | 0.64 | 0.66 | 0.72 |
| 10 | 0.77 | 0.70 | 0.72 | 0.78 | 0.75 | 0.83 | 0.84 | 0.72 | 0.64 | 1.00 | 0.95 | 0.73 |
| 11 | 0.80 | 0.74 | 0.75 | 0.85 | 0.77 | 0.86 | 0.82 | 0.74 | 0.66 | 0.95 | 1.00 | 0.76 |
| 12 | 0.92 | 0.80 | 0.88 | 0.88 | 0.83 | 0.79 | 0.62 | 0.82 | 0.72 | 0.73 | 0.76 | 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