| Project Name | E.K. |
| Project Name | E.K. |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 105.5 | 103.0 | 77.1 | 62.6 | 62.0 | 49.7 | 49.3 | 44.4 | 43.1 | 41.7 | 39.2 | 21.8 |
| Cluster size | 304 | 247 | 224 | 152 | 176 | 169 | 141 | 133 | 153 | 132 | 121 | 48 |
| Average cluster RMSD | 2.9 | 2.4 | 2.9 | 2.4 | 2.8 | 3.4 | 2.9 | 3.0 | 3.6 | 3.2 | 3.1 | 2.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.07 | 3.22 | 4.18 | 4.01 | 3.92 | 4.79 | 4.23 | 4.76 | 5.73 | 5.58 | 6.66 | 6.56 |
| GDT_TS | 0.61 | 0.66 | 0.70 | 0.66 | 0.61 | 0.59 | 0.68 | 0.64 | 0.59 | 0.60 | 0.57 | 0.47 |
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 | 2.60 | 3.02 | 2.79 | 1.02 | 1.86 | 4.21 | 4.49 | 4.22 | 3.99 | 4.80 | 4.33 |
| 2 | 2.60 | 0.00 | 2.66 | 1.91 | 2.34 | 3.26 | 3.18 | 3.75 | 4.92 | 4.43 | 5.89 | 5.86 |
| 3 | 3.02 | 2.66 | 0.00 | 2.25 | 2.98 | 2.69 | 3.55 | 3.62 | 4.72 | 3.41 | 4.36 | 4.94 |
| 4 | 2.79 | 1.91 | 2.25 | 0.00 | 2.57 | 3.15 | 4.24 | 4.68 | 5.31 | 4.30 | 5.77 | 5.57 |
| 5 | 1.02 | 2.34 | 2.98 | 2.57 | 0.00 | 2.05 | 4.15 | 4.50 | 4.43 | 4.22 | 5.18 | 4.81 |
| 6 | 1.86 | 3.26 | 2.69 | 3.15 | 2.05 | 0.00 | 4.15 | 4.05 | 4.60 | 3.26 | 4.40 | 4.40 |
| 7 | 4.21 | 3.18 | 3.55 | 4.24 | 4.15 | 4.15 | 0.00 | 1.77 | 4.26 | 4.51 | 5.71 | 5.99 |
| 8 | 4.49 | 3.75 | 3.62 | 4.68 | 4.50 | 4.05 | 1.77 | 0.00 | 4.57 | 3.65 | 5.43 | 6.19 |
| 9 | 4.22 | 4.92 | 4.72 | 5.31 | 4.43 | 4.60 | 4.26 | 4.57 | 0.00 | 5.14 | 3.13 | 3.57 |
| 10 | 3.99 | 4.43 | 3.41 | 4.30 | 4.22 | 3.26 | 4.51 | 3.65 | 5.14 | 0.00 | 4.43 | 5.61 |
| 11 | 4.80 | 5.89 | 4.36 | 5.77 | 5.18 | 4.40 | 5.71 | 5.43 | 3.13 | 4.43 | 0.00 | 3.18 |
| 12 | 4.33 | 5.86 | 4.94 | 5.57 | 4.81 | 4.40 | 5.99 | 6.19 | 3.57 | 5.61 | 3.18 | 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 | 0.72 | 0.69 | 0.70 | 0.93 | 0.91 | 0.67 | 0.68 | 0.67 | 0.72 | 0.64 | 0.57 |
| 2 | 0.72 | 1.00 | 0.86 | 0.91 | 0.76 | 0.70 | 0.82 | 0.84 | 0.63 | 0.84 | 0.62 | 0.46 |
| 3 | 0.69 | 0.86 | 1.00 | 0.95 | 0.72 | 0.70 | 0.82 | 0.80 | 0.69 | 0.75 | 0.64 | 0.49 |
| 4 | 0.70 | 0.91 | 0.95 | 1.00 | 0.74 | 0.70 | 0.84 | 0.83 | 0.66 | 0.77 | 0.64 | 0.50 |
| 5 | 0.93 | 0.76 | 0.72 | 0.74 | 1.00 | 0.90 | 0.67 | 0.68 | 0.63 | 0.73 | 0.63 | 0.53 |
| 6 | 0.91 | 0.70 | 0.70 | 0.70 | 0.90 | 1.00 | 0.66 | 0.66 | 0.67 | 0.71 | 0.67 | 0.57 |
| 7 | 0.67 | 0.82 | 0.82 | 0.84 | 0.67 | 0.66 | 1.00 | 0.89 | 0.67 | 0.76 | 0.58 | 0.47 |
| 8 | 0.68 | 0.84 | 0.80 | 0.83 | 0.68 | 0.66 | 0.89 | 1.00 | 0.63 | 0.82 | 0.57 | 0.46 |
| 9 | 0.67 | 0.63 | 0.69 | 0.66 | 0.63 | 0.67 | 0.67 | 0.63 | 1.00 | 0.63 | 0.82 | 0.68 |
| 10 | 0.72 | 0.84 | 0.75 | 0.77 | 0.73 | 0.71 | 0.76 | 0.82 | 0.63 | 1.00 | 0.61 | 0.47 |
| 11 | 0.64 | 0.62 | 0.64 | 0.64 | 0.63 | 0.67 | 0.58 | 0.57 | 0.82 | 0.61 | 1.00 | 0.73 |
| 12 | 0.57 | 0.46 | 0.49 | 0.50 | 0.53 | 0.57 | 0.47 | 0.46 | 0.68 | 0.47 | 0.73 | 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