| Project Name | tes |
| Project Name | tes |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 208.8 | 188.7 | 118.6 | 114.3 | 103.7 | 99.6 | 94.9 | 93.3 | 84.9 | 80.6 | 59.2 | 48.2 |
| Cluster size | 310 | 289 | 177 | 186 | 163 | 149 | 136 | 151 | 134 | 127 | 91 | 87 |
| Average cluster RMSD | 1.5 | 1.5 | 1.5 | 1.6 | 1.6 | 1.5 | 1.4 | 1.6 | 1.6 | 1.6 | 1.5 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.26 | 3.34 | 3.28 | 3.40 | 2.92 | 2.75 | 3.11 | 2.99 | 3.10 | 2.76 | 2.85 | 3.45 |
| GDT_TS | 0.62 | 0.60 | 0.59 | 0.59 | 0.64 | 0.65 | 0.65 | 0.65 | 0.62 | 0.65 | 0.62 | 0.60 |
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 | 1.42 | 1.84 | 1.84 | 2.48 | 2.50 | 2.21 | 2.69 | 2.13 | 2.41 | 2.61 | 3.09 |
| 2 | 1.42 | 0.00 | 2.14 | 1.64 | 2.36 | 2.31 | 2.10 | 2.44 | 2.09 | 2.23 | 2.38 | 3.30 |
| 3 | 1.84 | 2.14 | 0.00 | 2.09 | 2.67 | 2.70 | 2.34 | 2.90 | 2.37 | 2.61 | 2.76 | 2.98 |
| 4 | 1.84 | 1.64 | 2.09 | 0.00 | 2.38 | 2.42 | 2.29 | 2.58 | 2.17 | 2.27 | 2.57 | 3.20 |
| 5 | 2.48 | 2.36 | 2.67 | 2.38 | 0.00 | 2.56 | 2.09 | 1.91 | 1.83 | 1.78 | 2.81 | 3.03 |
| 6 | 2.50 | 2.31 | 2.70 | 2.42 | 2.56 | 0.00 | 2.60 | 2.66 | 2.55 | 2.19 | 1.66 | 2.69 |
| 7 | 2.21 | 2.10 | 2.34 | 2.29 | 2.09 | 2.60 | 0.00 | 2.06 | 2.01 | 2.13 | 2.67 | 3.37 |
| 8 | 2.69 | 2.44 | 2.90 | 2.58 | 1.91 | 2.66 | 2.06 | 0.00 | 2.09 | 1.86 | 2.69 | 3.28 |
| 9 | 2.13 | 2.09 | 2.37 | 2.17 | 1.83 | 2.55 | 2.01 | 2.09 | 0.00 | 2.22 | 2.97 | 3.32 |
| 10 | 2.41 | 2.23 | 2.61 | 2.27 | 1.78 | 2.19 | 2.13 | 1.86 | 2.22 | 0.00 | 2.33 | 2.91 |
| 11 | 2.61 | 2.38 | 2.76 | 2.57 | 2.81 | 1.66 | 2.67 | 2.69 | 2.97 | 2.33 | 0.00 | 2.86 |
| 12 | 3.09 | 3.30 | 2.98 | 3.20 | 3.03 | 2.69 | 3.37 | 3.28 | 3.32 | 2.91 | 2.86 | 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 | 0.87 | 0.77 | 0.77 | 0.69 | 0.73 | 0.73 | 0.66 | 0.76 | 0.70 | 0.70 | 0.68 |
| 2 | 0.87 | 1.00 | 0.79 | 0.82 | 0.71 | 0.75 | 0.76 | 0.70 | 0.75 | 0.71 | 0.72 | 0.66 |
| 3 | 0.77 | 0.79 | 1.00 | 0.73 | 0.73 | 0.73 | 0.75 | 0.69 | 0.69 | 0.73 | 0.72 | 0.70 |
| 4 | 0.77 | 0.82 | 0.73 | 1.00 | 0.68 | 0.77 | 0.72 | 0.67 | 0.73 | 0.70 | 0.71 | 0.68 |
| 5 | 0.69 | 0.71 | 0.73 | 0.68 | 1.00 | 0.72 | 0.76 | 0.75 | 0.79 | 0.81 | 0.67 | 0.69 |
| 6 | 0.73 | 0.75 | 0.73 | 0.77 | 0.72 | 1.00 | 0.71 | 0.69 | 0.75 | 0.77 | 0.77 | 0.69 |
| 7 | 0.73 | 0.76 | 0.75 | 0.72 | 0.76 | 0.71 | 1.00 | 0.75 | 0.79 | 0.74 | 0.72 | 0.70 |
| 8 | 0.66 | 0.70 | 0.69 | 0.67 | 0.75 | 0.69 | 0.75 | 1.00 | 0.74 | 0.75 | 0.68 | 0.68 |
| 9 | 0.76 | 0.75 | 0.69 | 0.73 | 0.79 | 0.75 | 0.79 | 0.74 | 1.00 | 0.75 | 0.68 | 0.69 |
| 10 | 0.70 | 0.71 | 0.73 | 0.70 | 0.81 | 0.77 | 0.74 | 0.75 | 0.75 | 1.00 | 0.73 | 0.73 |
| 11 | 0.70 | 0.72 | 0.72 | 0.71 | 0.67 | 0.77 | 0.72 | 0.68 | 0.68 | 0.73 | 1.00 | 0.73 |
| 12 | 0.68 | 0.66 | 0.70 | 0.68 | 0.69 | 0.69 | 0.70 | 0.68 | 0.69 | 0.73 | 0.73 | 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