| Project Name | 15 |
| Project Name | 15 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 292.5 | 280.2 | 278.8 | 277.5 | 226.0 | 219.3 | 176.5 | 121.0 | 112.1 | 38.7 | 35.6 | 26.0 |
| Cluster size | 246 | 258 | 229 | 270 | 215 | 233 | 159 | 125 | 138 | 43 | 39 | 45 |
| Average cluster RMSD | 0.8 | 0.9 | 0.8 | 1.0 | 1.0 | 1.1 | 0.9 | 1.0 | 1.2 | 1.1 | 1.1 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.00 | 1.79 | 1.27 | 1.90 | 1.48 | 1.75 | 1.64 | 1.21 | 1.95 | 1.58 | 1.83 | 3.14 |
| GDT_TS | 0.89 | 0.89 | 0.90 | 0.89 | 0.93 | 0.89 | 0.89 | 0.94 | 0.88 | 0.89 | 0.86 | 0.82 |
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 | 0.61 | 1.65 | 0.58 | 0.80 | 0.72 | 0.98 | 2.10 | 0.79 | 1.34 | 1.18 | 2.72 |
| 2 | 0.61 | 0.00 | 1.52 | 0.51 | 0.80 | 0.48 | 0.90 | 1.87 | 0.57 | 1.28 | 1.28 | 2.74 |
| 3 | 1.65 | 1.52 | 0.00 | 1.52 | 1.37 | 1.43 | 1.37 | 0.83 | 1.60 | 0.85 | 1.54 | 3.06 |
| 4 | 0.58 | 0.51 | 1.52 | 0.00 | 0.82 | 0.65 | 1.08 | 1.91 | 0.65 | 1.32 | 1.31 | 2.66 |
| 5 | 0.80 | 0.80 | 1.37 | 0.82 | 0.00 | 0.84 | 0.84 | 1.74 | 1.13 | 1.25 | 1.00 | 2.58 |
| 6 | 0.72 | 0.48 | 1.43 | 0.65 | 0.84 | 0.00 | 0.94 | 1.76 | 0.68 | 1.25 | 1.27 | 2.90 |
| 7 | 0.98 | 0.90 | 1.37 | 1.08 | 0.84 | 0.94 | 0.00 | 1.88 | 1.20 | 1.10 | 0.62 | 2.81 |
| 8 | 2.10 | 1.87 | 0.83 | 1.91 | 1.74 | 1.76 | 1.88 | 0.00 | 1.86 | 1.45 | 2.10 | 3.36 |
| 9 | 0.79 | 0.57 | 1.60 | 0.65 | 1.13 | 0.68 | 1.20 | 1.86 | 0.00 | 1.36 | 1.53 | 2.91 |
| 10 | 1.34 | 1.28 | 0.85 | 1.32 | 1.25 | 1.25 | 1.10 | 1.45 | 1.36 | 0.00 | 1.16 | 2.84 |
| 11 | 1.18 | 1.28 | 1.54 | 1.31 | 1.00 | 1.27 | 0.62 | 2.10 | 1.53 | 1.16 | 0.00 | 2.71 |
| 12 | 2.72 | 2.74 | 3.06 | 2.66 | 2.58 | 2.90 | 2.81 | 3.36 | 2.91 | 2.84 | 2.71 | 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 | 0.96 | 0.97 | 0.97 | 0.96 | 0.97 | 0.93 | 0.95 | 0.96 | 0.97 | 0.91 |
| 2 | 1.00 | 1.00 | 0.95 | 0.99 | 0.96 | 1.00 | 0.97 | 0.95 | 0.99 | 0.95 | 0.95 | 0.90 |
| 3 | 0.96 | 0.95 | 1.00 | 0.96 | 0.96 | 0.94 | 0.95 | 0.97 | 0.94 | 0.97 | 0.96 | 0.88 |
| 4 | 0.97 | 0.99 | 0.96 | 1.00 | 0.96 | 0.99 | 0.96 | 0.94 | 0.97 | 0.96 | 0.95 | 0.90 |
| 5 | 0.97 | 0.96 | 0.96 | 0.96 | 1.00 | 0.96 | 0.96 | 0.96 | 0.93 | 0.95 | 0.96 | 0.89 |
| 6 | 0.96 | 1.00 | 0.94 | 0.99 | 0.96 | 1.00 | 0.96 | 0.95 | 0.99 | 0.94 | 0.94 | 0.89 |
| 7 | 0.97 | 0.97 | 0.95 | 0.96 | 0.96 | 0.96 | 1.00 | 0.95 | 0.97 | 0.96 | 0.99 | 0.89 |
| 8 | 0.93 | 0.95 | 0.97 | 0.94 | 0.96 | 0.95 | 0.95 | 1.00 | 0.93 | 0.93 | 0.93 | 0.84 |
| 9 | 0.95 | 0.99 | 0.94 | 0.97 | 0.93 | 0.99 | 0.97 | 0.93 | 1.00 | 0.94 | 0.94 | 0.89 |
| 10 | 0.96 | 0.95 | 0.97 | 0.96 | 0.95 | 0.94 | 0.96 | 0.93 | 0.94 | 1.00 | 0.95 | 0.88 |
| 11 | 0.97 | 0.95 | 0.96 | 0.95 | 0.96 | 0.94 | 0.99 | 0.93 | 0.94 | 0.95 | 1.00 | 0.89 |
| 12 | 0.91 | 0.90 | 0.88 | 0.90 | 0.89 | 0.89 | 0.89 | 0.84 | 0.89 | 0.88 | 0.89 | 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