| 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 | 4.20 | 3.86 | 4.24 | 3.67 | 3.94 | 3.88 | 3.93 | 4.12 | 3.99 | 4.20 | 3.50 |
| GDT_TS | 0.55 | 0.55 | 0.61 | 0.56 | 0.60 | 0.56 | 0.59 | 0.59 | 0.55 | 0.56 | 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 | 3.07 | 3.52 | 2.60 | 2.74 | 4.13 | 2.16 | 3.58 | 3.45 | 3.84 | 2.77 | 3.32 |
| 2 | 3.07 | 0.00 | 2.61 | 2.62 | 2.87 | 3.15 | 2.99 | 2.64 | 2.96 | 3.02 | 2.12 | 2.86 |
| 3 | 3.52 | 2.61 | 0.00 | 3.14 | 2.92 | 2.61 | 3.16 | 2.00 | 2.53 | 2.68 | 2.46 | 2.30 |
| 4 | 2.60 | 2.62 | 3.14 | 0.00 | 2.29 | 3.37 | 2.67 | 2.93 | 2.90 | 3.13 | 2.05 | 3.13 |
| 5 | 2.74 | 2.87 | 2.92 | 2.29 | 0.00 | 3.23 | 2.53 | 2.95 | 3.00 | 3.07 | 2.30 | 2.86 |
| 6 | 4.13 | 3.15 | 2.61 | 3.37 | 3.23 | 0.00 | 3.69 | 2.40 | 2.84 | 1.96 | 3.11 | 2.42 |
| 7 | 2.16 | 2.99 | 3.16 | 2.67 | 2.53 | 3.69 | 0.00 | 3.16 | 3.35 | 3.48 | 2.56 | 2.92 |
| 8 | 3.58 | 2.64 | 2.00 | 2.93 | 2.95 | 2.40 | 3.16 | 0.00 | 2.19 | 2.68 | 2.44 | 2.30 |
| 9 | 3.45 | 2.96 | 2.53 | 2.90 | 3.00 | 2.84 | 3.35 | 2.19 | 0.00 | 2.89 | 2.65 | 2.71 |
| 10 | 3.84 | 3.02 | 2.68 | 3.13 | 3.07 | 1.96 | 3.48 | 2.68 | 2.89 | 0.00 | 2.97 | 2.53 |
| 11 | 2.77 | 2.12 | 2.46 | 2.05 | 2.30 | 3.11 | 2.56 | 2.44 | 2.65 | 2.97 | 0.00 | 2.77 |
| 12 | 3.32 | 2.86 | 2.30 | 3.13 | 2.86 | 2.42 | 2.92 | 2.30 | 2.71 | 2.53 | 2.77 | 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 | 0.67 | 0.56 | 0.75 | 0.59 | 0.61 | 0.56 | 0.66 | 0.58 |
| 2 | 0.62 | 1.00 | 0.67 | 0.66 | 0.61 | 0.61 | 0.62 | 0.68 | 0.66 | 0.62 | 0.72 | 0.62 |
| 3 | 0.56 | 0.67 | 1.00 | 0.61 | 0.61 | 0.65 | 0.65 | 0.75 | 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 | 0.67 | 0.61 | 0.61 | 0.71 | 1.00 | 0.63 | 0.67 | 0.62 | 0.64 | 0.61 | 0.68 | 0.63 |
| 6 | 0.56 | 0.61 | 0.65 | 0.62 | 0.63 | 1.00 | 0.58 | 0.70 | 0.64 | 0.78 | 0.61 | 0.70 |
| 7 | 0.75 | 0.62 | 0.65 | 0.65 | 0.67 | 0.58 | 1.00 | 0.64 | 0.61 | 0.60 | 0.68 | 0.64 |
| 8 | 0.59 | 0.68 | 0.75 | 0.65 | 0.62 | 0.70 | 0.64 | 1.00 | 0.73 | 0.69 | 0.71 | 0.72 |
| 9 | 0.61 | 0.66 | 0.66 | 0.66 | 0.64 | 0.64 | 0.61 | 0.73 | 1.00 | 0.65 | 0.68 | 0.65 |
| 10 | 0.56 | 0.62 | 0.67 | 0.64 | 0.61 | 0.78 | 0.60 | 0.69 | 0.65 | 1.00 | 0.62 | 0.68 |
| 11 | 0.66 | 0.72 | 0.69 | 0.74 | 0.68 | 0.61 | 0.68 | 0.71 | 0.68 | 0.62 | 1.00 | 0.65 |
| 12 | 0.58 | 0.62 | 0.71 | 0.60 | 0.63 | 0.70 | 0.64 | 0.72 | 0.65 | 0.68 | 0.65 | 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