| Project Name | cdkaP45D |
| Project Name | cdkaP45D |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 178.8 | 142.9 | 126.3 | 121.7 | 120.4 | 116.5 | 101.9 | 101.2 | 99.8 | 98.6 | 97.2 | 79.5 |
| Cluster size | 270 | 191 | 180 | 178 | 183 | 169 | 168 | 139 | 135 | 128 | 151 | 108 |
| Average cluster RMSD | 1.5 | 1.3 | 1.4 | 1.5 | 1.5 | 1.5 | 1.6 | 1.4 | 1.4 | 1.3 | 1.6 | 1.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.15 | 4.18 | 3.86 | 4.24 | 3.60 | 3.96 | 3.88 | 3.95 | 4.11 | 3.97 | 4.21 | 3.49 |
| GDT_TS | 0.55 | 0.55 | 0.61 | 0.56 | 0.61 | 0.55 | 0.59 | 0.59 | 0.55 | 0.57 | 0.57 | 0.62 |
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 | 3.08 | 3.52 | 2.60 | 2.82 | 4.13 | 2.16 | 3.59 | 3.43 | 3.81 | 2.75 | 3.32 |
| 2 | 3.08 | 0.00 | 2.61 | 2.61 | 2.88 | 3.17 | 2.99 | 2.66 | 2.96 | 2.98 | 2.11 | 2.84 |
| 3 | 3.52 | 2.61 | 0.00 | 3.14 | 2.90 | 2.62 | 3.16 | 2.01 | 2.51 | 2.67 | 2.49 | 2.29 |
| 4 | 2.60 | 2.61 | 3.14 | 0.00 | 2.34 | 3.34 | 2.67 | 2.93 | 2.90 | 3.11 | 2.05 | 3.12 |
| 5 | 2.82 | 2.88 | 2.90 | 2.34 | 0.00 | 3.18 | 2.60 | 2.98 | 3.06 | 3.06 | 2.38 | 2.86 |
| 6 | 4.13 | 3.17 | 2.62 | 3.34 | 3.18 | 0.00 | 3.69 | 2.44 | 2.85 | 1.96 | 3.14 | 2.45 |
| 7 | 2.16 | 2.99 | 3.16 | 2.67 | 2.60 | 3.69 | 0.00 | 3.18 | 3.34 | 3.45 | 2.55 | 2.93 |
| 8 | 3.59 | 2.66 | 2.01 | 2.93 | 2.98 | 2.44 | 3.18 | 0.00 | 2.17 | 2.69 | 2.47 | 2.34 |
| 9 | 3.43 | 2.96 | 2.51 | 2.90 | 3.06 | 2.85 | 3.34 | 2.17 | 0.00 | 2.87 | 2.65 | 2.71 |
| 10 | 3.81 | 2.98 | 2.67 | 3.11 | 3.06 | 1.96 | 3.45 | 2.69 | 2.87 | 0.00 | 3.00 | 2.49 |
| 11 | 2.75 | 2.11 | 2.49 | 2.05 | 2.38 | 3.14 | 2.55 | 2.47 | 2.65 | 3.00 | 0.00 | 2.79 |
| 12 | 3.32 | 2.84 | 2.29 | 3.12 | 2.86 | 2.45 | 2.93 | 2.34 | 2.71 | 2.49 | 2.79 | 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 | 0.62 | 0.56 | 0.68 | 0.66 | 0.56 | 0.75 | 0.59 | 0.61 | 0.57 | 0.67 | 0.58 |
| 2 | 0.62 | 1.00 | 0.67 | 0.66 | 0.61 | 0.61 | 0.62 | 0.67 | 0.66 | 0.63 | 0.72 | 0.62 |
| 3 | 0.56 | 0.67 | 1.00 | 0.61 | 0.61 | 0.65 | 0.65 | 0.74 | 0.66 | 0.67 | 0.69 | 0.71 |
| 4 | 0.68 | 0.66 | 0.61 | 1.00 | 0.71 | 0.62 | 0.65 | 0.65 | 0.66 | 0.64 | 0.74 | 0.60 |
| 5 | 0.66 | 0.61 | 0.61 | 0.71 | 1.00 | 0.64 | 0.67 | 0.62 | 0.64 | 0.62 | 0.67 | 0.63 |
| 6 | 0.56 | 0.61 | 0.65 | 0.62 | 0.64 | 1.00 | 0.59 | 0.69 | 0.63 | 0.78 | 0.61 | 0.70 |
| 7 | 0.75 | 0.62 | 0.65 | 0.65 | 0.67 | 0.59 | 1.00 | 0.63 | 0.61 | 0.60 | 0.68 | 0.63 |
| 8 | 0.59 | 0.67 | 0.74 | 0.65 | 0.62 | 0.69 | 0.63 | 1.00 | 0.74 | 0.69 | 0.70 | 0.71 |
| 9 | 0.61 | 0.66 | 0.66 | 0.66 | 0.64 | 0.63 | 0.61 | 0.74 | 1.00 | 0.66 | 0.68 | 0.65 |
| 10 | 0.57 | 0.63 | 0.67 | 0.64 | 0.62 | 0.78 | 0.60 | 0.69 | 0.66 | 1.00 | 0.62 | 0.69 |
| 11 | 0.67 | 0.72 | 0.69 | 0.74 | 0.67 | 0.61 | 0.68 | 0.70 | 0.68 | 0.62 | 1.00 | 0.64 |
| 12 | 0.58 | 0.62 | 0.71 | 0.60 | 0.63 | 0.70 | 0.63 | 0.71 | 0.65 | 0.69 | 0.64 | 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