| Project Name | 19 |
| Project Name | 19 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 373.8 | 364.4 | 334.0 | 327.5 | 296.9 | 288.0 | 207.8 | 183.0 | 179.3 | 139.0 | 111.4 | 99.1 |
| Cluster size | 232 | 257 | 234 | 221 | 208 | 186 | 155 | 122 | 146 | 94 | 75 | 70 |
| Average cluster RMSD | 0.6 | 0.7 | 0.7 | 0.7 | 0.7 | 0.6 | 0.7 | 0.7 | 0.8 | 0.7 | 0.7 | 0.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 0.60 | 0.87 | 0.68 | 0.74 | 0.79 | 0.71 | 1.61 | 0.78 | 0.94 | 0.57 | 1.66 | 1.79 |
| GDT_TS | 0.99 | 0.94 | 0.98 | 0.96 | 0.98 | 0.98 | 0.93 | 0.96 | 0.94 | 1.00 | 0.95 | 0.94 |
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 | 0.52 | 0.68 | 0.40 | 0.49 | 0.65 | 1.46 | 0.50 | 0.54 | 0.44 | 1.37 | 1.52 |
| 2 | 0.52 | 0.00 | 0.92 | 0.66 | 0.54 | 0.96 | 1.52 | 0.46 | 0.67 | 0.60 | 1.40 | 1.50 |
| 3 | 0.68 | 0.92 | 0.00 | 0.55 | 0.94 | 0.86 | 1.60 | 0.91 | 0.80 | 0.82 | 1.73 | 1.88 |
| 4 | 0.40 | 0.66 | 0.55 | 0.00 | 0.67 | 0.84 | 1.52 | 0.68 | 0.54 | 0.66 | 1.50 | 1.63 |
| 5 | 0.49 | 0.54 | 0.94 | 0.67 | 0.00 | 0.76 | 1.46 | 0.49 | 0.75 | 0.41 | 1.43 | 1.55 |
| 6 | 0.65 | 0.96 | 0.86 | 0.84 | 0.76 | 0.00 | 1.36 | 0.98 | 0.86 | 0.75 | 1.57 | 1.75 |
| 7 | 1.46 | 1.52 | 1.60 | 1.52 | 1.46 | 1.36 | 0.00 | 1.62 | 1.46 | 1.50 | 1.95 | 2.05 |
| 8 | 0.50 | 0.46 | 0.91 | 0.68 | 0.49 | 0.98 | 1.62 | 0.00 | 0.83 | 0.51 | 1.46 | 1.61 |
| 9 | 0.54 | 0.67 | 0.80 | 0.54 | 0.75 | 0.86 | 1.46 | 0.83 | 0.00 | 0.77 | 1.34 | 1.50 |
| 10 | 0.44 | 0.60 | 0.82 | 0.66 | 0.41 | 0.75 | 1.50 | 0.51 | 0.77 | 0.00 | 1.48 | 1.62 |
| 11 | 1.37 | 1.40 | 1.73 | 1.50 | 1.43 | 1.57 | 1.95 | 1.46 | 1.34 | 1.48 | 0.00 | 0.56 |
| 12 | 1.52 | 1.50 | 1.88 | 1.63 | 1.55 | 1.75 | 2.05 | 1.61 | 1.50 | 1.62 | 0.56 | 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 | 1.00 | 0.98 | 1.00 | 1.00 | 0.98 | 0.96 | 0.99 | 1.00 | 0.99 | 0.96 | 0.96 |
| 2 | 1.00 | 1.00 | 0.95 | 0.98 | 0.99 | 0.94 | 0.96 | 1.00 | 0.98 | 0.99 | 0.95 | 0.95 |
| 3 | 0.98 | 0.95 | 1.00 | 0.99 | 0.94 | 0.96 | 0.94 | 0.94 | 0.96 | 0.98 | 0.95 | 0.93 |
| 4 | 1.00 | 0.98 | 0.99 | 1.00 | 0.99 | 0.94 | 0.96 | 0.98 | 0.99 | 0.98 | 0.96 | 0.96 |
| 5 | 1.00 | 0.99 | 0.94 | 0.99 | 1.00 | 0.99 | 0.96 | 0.99 | 0.96 | 1.00 | 0.95 | 0.96 |
| 6 | 0.98 | 0.94 | 0.96 | 0.94 | 0.99 | 1.00 | 0.95 | 0.93 | 0.96 | 0.98 | 0.95 | 0.93 |
| 7 | 0.96 | 0.96 | 0.94 | 0.96 | 0.96 | 0.95 | 1.00 | 0.95 | 0.95 | 0.96 | 0.93 | 0.93 |
| 8 | 0.99 | 1.00 | 0.94 | 0.98 | 0.99 | 0.93 | 0.95 | 1.00 | 0.95 | 0.99 | 0.95 | 0.96 |
| 9 | 1.00 | 0.98 | 0.96 | 0.99 | 0.96 | 0.96 | 0.95 | 0.95 | 1.00 | 0.96 | 0.96 | 0.96 |
| 10 | 0.99 | 0.99 | 0.98 | 0.98 | 1.00 | 0.98 | 0.96 | 0.99 | 0.96 | 1.00 | 0.95 | 0.96 |
| 11 | 0.96 | 0.95 | 0.95 | 0.96 | 0.95 | 0.95 | 0.93 | 0.95 | 0.96 | 0.95 | 1.00 | 0.99 |
| 12 | 0.96 | 0.95 | 0.93 | 0.96 | 0.96 | 0.93 | 0.93 | 0.96 | 0.96 | 0.96 | 0.99 | 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