| Project Name | ControlNK |
| Project Name | ControlNK |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 102.2 | 100.9 | 88.5 | 79.1 | 63.2 | 62.1 | 62.0 | 61.0 | 60.7 | 46.7 | 33.3 | 33.1 |
| Cluster size | 241 | 278 | 173 | 175 | 145 | 169 | 170 | 180 | 179 | 118 | 87 | 85 |
| Average cluster RMSD | 2.4 | 2.8 | 2.0 | 2.2 | 2.3 | 2.7 | 2.7 | 2.9 | 3.0 | 2.5 | 2.6 | 2.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.10 | 5.07 | 4.60 | 4.28 | 7.12 | 4.54 | 5.47 | 5.55 | 6.24 | 6.82 | 4.26 | 5.22 |
| GDT_TS | 0.57 | 0.56 | 0.49 | 0.57 | 0.57 | 0.56 | 0.55 | 0.57 | 0.57 | 0.58 | 0.54 | 0.55 |
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 | 3.80 | 5.49 | 3.59 | 7.84 | 4.05 | 3.79 | 4.34 | 7.29 | 5.87 | 2.84 | 5.73 |
| 2 | 3.80 | 0.00 | 4.93 | 4.79 | 5.89 | 4.77 | 2.64 | 5.42 | 4.99 | 6.16 | 4.38 | 5.23 |
| 3 | 5.49 | 4.93 | 0.00 | 6.15 | 6.70 | 5.84 | 5.01 | 6.79 | 5.98 | 7.64 | 5.78 | 2.61 |
| 4 | 3.59 | 4.79 | 6.15 | 0.00 | 7.43 | 2.41 | 4.76 | 3.87 | 6.58 | 5.04 | 2.17 | 6.73 |
| 5 | 7.84 | 5.89 | 6.70 | 7.43 | 0.00 | 6.70 | 5.22 | 5.57 | 1.81 | 4.58 | 7.09 | 6.07 |
| 6 | 4.05 | 4.77 | 5.84 | 2.41 | 6.70 | 0.00 | 4.44 | 3.39 | 5.93 | 4.36 | 2.78 | 6.15 |
| 7 | 3.79 | 2.64 | 5.01 | 4.76 | 5.22 | 4.44 | 0.00 | 4.17 | 4.82 | 5.02 | 4.10 | 4.49 |
| 8 | 4.34 | 5.42 | 6.79 | 3.87 | 5.57 | 3.39 | 4.17 | 0.00 | 5.39 | 2.83 | 3.48 | 6.30 |
| 9 | 7.29 | 4.99 | 5.98 | 6.58 | 1.81 | 5.93 | 4.82 | 5.39 | 0.00 | 4.54 | 6.37 | 5.89 |
| 10 | 5.87 | 6.16 | 7.64 | 5.04 | 4.58 | 4.36 | 5.02 | 2.83 | 4.54 | 0.00 | 4.83 | 7.24 |
| 11 | 2.84 | 4.38 | 5.78 | 2.17 | 7.09 | 2.78 | 4.10 | 3.48 | 6.37 | 4.83 | 0.00 | 6.11 |
| 12 | 5.73 | 5.23 | 2.61 | 6.73 | 6.07 | 6.15 | 4.49 | 6.30 | 5.89 | 7.24 | 6.11 | 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 | 0.67 | 0.59 | 0.63 | 0.65 | 0.61 | 0.69 | 0.62 | 0.63 | 0.64 | 0.75 | 0.69 |
| 2 | 0.67 | 1.00 | 0.52 | 0.56 | 0.65 | 0.51 | 0.84 | 0.53 | 0.66 | 0.57 | 0.64 | 0.63 |
| 3 | 0.59 | 0.52 | 1.00 | 0.60 | 0.61 | 0.54 | 0.55 | 0.54 | 0.60 | 0.53 | 0.58 | 0.78 |
| 4 | 0.63 | 0.56 | 0.60 | 1.00 | 0.60 | 0.84 | 0.48 | 0.83 | 0.60 | 0.78 | 0.74 | 0.62 |
| 5 | 0.65 | 0.65 | 0.61 | 0.60 | 1.00 | 0.57 | 0.63 | 0.61 | 0.96 | 0.67 | 0.59 | 0.71 |
| 6 | 0.61 | 0.51 | 0.54 | 0.84 | 0.57 | 1.00 | 0.47 | 0.79 | 0.60 | 0.74 | 0.67 | 0.60 |
| 7 | 0.69 | 0.84 | 0.55 | 0.48 | 0.63 | 0.47 | 1.00 | 0.51 | 0.64 | 0.56 | 0.61 | 0.64 |
| 8 | 0.62 | 0.53 | 0.54 | 0.83 | 0.61 | 0.79 | 0.51 | 1.00 | 0.61 | 0.81 | 0.73 | 0.57 |
| 9 | 0.63 | 0.66 | 0.60 | 0.60 | 0.96 | 0.60 | 0.64 | 0.61 | 1.00 | 0.67 | 0.59 | 0.69 |
| 10 | 0.64 | 0.57 | 0.53 | 0.78 | 0.67 | 0.74 | 0.56 | 0.81 | 0.67 | 1.00 | 0.70 | 0.58 |
| 11 | 0.75 | 0.64 | 0.58 | 0.74 | 0.59 | 0.67 | 0.61 | 0.73 | 0.59 | 0.70 | 1.00 | 0.56 |
| 12 | 0.69 | 0.63 | 0.78 | 0.62 | 0.71 | 0.60 | 0.64 | 0.57 | 0.69 | 0.58 | 0.56 | 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