| Project Name | target_control |
| Project Name | target_control |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 227.6 | 167.4 | 160.4 | 152.7 | 146.7 | 144.1 | 140.3 | 128.5 | 107.4 | 89.9 | 81.9 | 62.3 |
| Cluster size | 265 | 202 | 199 | 188 | 193 | 201 | 188 | 157 | 146 | 115 | 78 | 68 |
| Average cluster RMSD | 1.2 | 1.2 | 1.2 | 1.2 | 1.3 | 1.4 | 1.3 | 1.2 | 1.4 | 1.3 | 1.0 | 1.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.19 | 2.33 | 2.30 | 2.33 | 2.42 | 3.19 | 2.30 | 2.60 | 2.40 | 2.91 | 2.53 | 2.98 |
| GDT_TS | 0.75 | 0.74 | 0.74 | 0.74 | 0.73 | 0.66 | 0.72 | 0.72 | 0.72 | 0.65 | 0.70 | 0.66 |
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 | 2.13 | 2.30 | 2.32 | 2.20 | 2.80 | 1.42 | 1.95 | 2.08 | 2.76 | 1.51 | 2.56 |
| 2 | 2.13 | 0.00 | 1.26 | 1.49 | 2.08 | 2.34 | 1.94 | 2.33 | 1.70 | 2.11 | 2.49 | 1.85 |
| 3 | 2.30 | 1.26 | 0.00 | 1.59 | 2.35 | 2.78 | 2.12 | 2.63 | 1.98 | 2.61 | 2.52 | 1.76 |
| 4 | 2.32 | 1.49 | 1.59 | 0.00 | 2.01 | 2.61 | 2.00 | 2.45 | 2.01 | 2.38 | 2.78 | 1.95 |
| 5 | 2.20 | 2.08 | 2.35 | 2.01 | 0.00 | 1.65 | 1.67 | 1.45 | 2.02 | 2.06 | 2.48 | 2.53 |
| 6 | 2.80 | 2.34 | 2.78 | 2.61 | 1.65 | 0.00 | 2.32 | 1.91 | 2.25 | 1.92 | 3.01 | 2.84 |
| 7 | 1.42 | 1.94 | 2.12 | 2.00 | 1.67 | 2.32 | 0.00 | 1.44 | 1.85 | 2.24 | 1.84 | 2.26 |
| 8 | 1.95 | 2.33 | 2.63 | 2.45 | 1.45 | 1.91 | 1.44 | 0.00 | 2.16 | 2.12 | 2.00 | 2.46 |
| 9 | 2.08 | 1.70 | 1.98 | 2.01 | 2.02 | 2.25 | 1.85 | 2.16 | 0.00 | 2.24 | 2.61 | 2.29 |
| 10 | 2.76 | 2.11 | 2.61 | 2.38 | 2.06 | 1.92 | 2.24 | 2.12 | 2.24 | 0.00 | 2.82 | 2.65 |
| 11 | 1.51 | 2.49 | 2.52 | 2.78 | 2.48 | 3.01 | 1.84 | 2.00 | 2.61 | 2.82 | 0.00 | 2.79 |
| 12 | 2.56 | 1.85 | 1.76 | 1.95 | 2.53 | 2.84 | 2.26 | 2.46 | 2.29 | 2.65 | 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 | 0.77 | 0.74 | 0.73 | 0.73 | 0.71 | 0.83 | 0.76 | 0.80 | 0.66 | 0.83 | 0.67 |
| 2 | 0.77 | 1.00 | 0.86 | 0.86 | 0.77 | 0.75 | 0.80 | 0.75 | 0.83 | 0.75 | 0.74 | 0.79 |
| 3 | 0.74 | 0.86 | 1.00 | 0.84 | 0.73 | 0.72 | 0.76 | 0.70 | 0.77 | 0.73 | 0.72 | 0.80 |
| 4 | 0.73 | 0.86 | 0.84 | 1.00 | 0.80 | 0.72 | 0.80 | 0.73 | 0.80 | 0.71 | 0.68 | 0.80 |
| 5 | 0.73 | 0.77 | 0.73 | 0.80 | 1.00 | 0.80 | 0.80 | 0.83 | 0.76 | 0.76 | 0.77 | 0.73 |
| 6 | 0.71 | 0.75 | 0.72 | 0.72 | 0.80 | 1.00 | 0.75 | 0.79 | 0.75 | 0.77 | 0.75 | 0.66 |
| 7 | 0.83 | 0.80 | 0.76 | 0.80 | 0.80 | 0.75 | 1.00 | 0.84 | 0.81 | 0.72 | 0.80 | 0.73 |
| 8 | 0.76 | 0.75 | 0.70 | 0.73 | 0.83 | 0.79 | 0.84 | 1.00 | 0.78 | 0.76 | 0.79 | 0.72 |
| 9 | 0.80 | 0.83 | 0.77 | 0.80 | 0.76 | 0.75 | 0.81 | 0.78 | 1.00 | 0.73 | 0.68 | 0.74 |
| 10 | 0.66 | 0.75 | 0.73 | 0.71 | 0.76 | 0.77 | 0.72 | 0.76 | 0.73 | 1.00 | 0.69 | 0.68 |
| 11 | 0.83 | 0.74 | 0.72 | 0.68 | 0.77 | 0.75 | 0.80 | 0.79 | 0.68 | 0.69 | 1.00 | 0.66 |
| 12 | 0.67 | 0.79 | 0.80 | 0.80 | 0.73 | 0.66 | 0.73 | 0.72 | 0.74 | 0.68 | 0.66 | 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