| Project Name | atraxin1 |
| Project Name | atraxin1 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 251.2 | 232.1 | 221.0 | 208.7 | 183.4 | 163.7 | 154.7 | 150.0 | 142.3 | 128.9 | 119.5 | 97.7 |
| Cluster size | 251 | 226 | 229 | 191 | 187 | 159 | 138 | 145 | 143 | 128 | 118 | 85 |
| Average cluster RMSD | 1.0 | 1.0 | 1.0 | 0.9 | 1.0 | 1.0 | 0.9 | 1.0 | 1.0 | 1.0 | 1.0 | 0.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 1.85 | 1.70 | 1.72 | 1.77 | 1.67 | 1.45 | 2.01 | 1.63 | 1.66 | 1.66 | 1.62 | 1.60 |
| GDT_TS | 0.76 | 0.81 | 0.80 | 0.79 | 0.80 | 0.84 | 0.76 | 0.81 | 0.81 | 0.81 | 0.79 | 0.83 |
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 | 1.66 | 1.35 | 1.35 | 1.17 | 2.00 | 1.47 | 1.79 | 1.64 | 1.34 | 1.73 | 1.89 |
| 2 | 1.66 | 0.00 | 1.40 | 1.49 | 1.42 | 1.91 | 1.73 | 1.39 | 1.52 | 1.25 | 1.79 | 1.39 |
| 3 | 1.35 | 1.40 | 0.00 | 1.84 | 1.28 | 1.67 | 1.88 | 1.69 | 1.18 | 1.55 | 1.62 | 1.79 |
| 4 | 1.35 | 1.49 | 1.84 | 0.00 | 1.46 | 2.16 | 1.06 | 1.33 | 1.95 | 1.33 | 1.99 | 1.54 |
| 5 | 1.17 | 1.42 | 1.28 | 1.46 | 0.00 | 1.85 | 1.63 | 1.70 | 1.37 | 1.22 | 1.53 | 1.73 |
| 6 | 2.00 | 1.91 | 1.67 | 2.16 | 1.85 | 0.00 | 2.41 | 2.06 | 1.34 | 1.94 | 1.36 | 2.00 |
| 7 | 1.47 | 1.73 | 1.88 | 1.06 | 1.63 | 2.41 | 0.00 | 1.43 | 2.05 | 1.51 | 2.22 | 1.83 |
| 8 | 1.79 | 1.39 | 1.69 | 1.33 | 1.70 | 2.06 | 1.43 | 0.00 | 1.74 | 1.48 | 2.07 | 1.35 |
| 9 | 1.64 | 1.52 | 1.18 | 1.95 | 1.37 | 1.34 | 2.05 | 1.74 | 0.00 | 1.52 | 1.21 | 1.80 |
| 10 | 1.34 | 1.25 | 1.55 | 1.33 | 1.22 | 1.94 | 1.51 | 1.48 | 1.52 | 0.00 | 1.52 | 1.61 |
| 11 | 1.73 | 1.79 | 1.62 | 1.99 | 1.53 | 1.36 | 2.22 | 2.07 | 1.21 | 1.52 | 0.00 | 2.16 |
| 12 | 1.89 | 1.39 | 1.79 | 1.54 | 1.73 | 2.00 | 1.83 | 1.35 | 1.80 | 1.61 | 2.16 | 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 | 0.81 | 0.85 | 0.85 | 0.90 | 0.75 | 0.86 | 0.78 | 0.81 | 0.85 | 0.79 | 0.78 |
| 2 | 0.81 | 1.00 | 0.83 | 0.83 | 0.84 | 0.78 | 0.82 | 0.85 | 0.81 | 0.88 | 0.78 | 0.86 |
| 3 | 0.85 | 0.83 | 1.00 | 0.75 | 0.85 | 0.82 | 0.79 | 0.77 | 0.89 | 0.83 | 0.82 | 0.79 |
| 4 | 0.85 | 0.83 | 0.75 | 1.00 | 0.85 | 0.71 | 0.92 | 0.89 | 0.75 | 0.86 | 0.72 | 0.84 |
| 5 | 0.90 | 0.84 | 0.85 | 0.85 | 1.00 | 0.76 | 0.84 | 0.81 | 0.85 | 0.86 | 0.80 | 0.78 |
| 6 | 0.75 | 0.78 | 0.82 | 0.71 | 0.76 | 1.00 | 0.70 | 0.74 | 0.88 | 0.77 | 0.85 | 0.74 |
| 7 | 0.86 | 0.82 | 0.79 | 0.92 | 0.84 | 0.70 | 1.00 | 0.90 | 0.76 | 0.82 | 0.72 | 0.81 |
| 8 | 0.78 | 0.85 | 0.77 | 0.89 | 0.81 | 0.74 | 0.90 | 1.00 | 0.79 | 0.82 | 0.73 | 0.87 |
| 9 | 0.81 | 0.81 | 0.89 | 0.75 | 0.85 | 0.88 | 0.76 | 0.79 | 1.00 | 0.82 | 0.88 | 0.79 |
| 10 | 0.85 | 0.88 | 0.83 | 0.86 | 0.86 | 0.77 | 0.82 | 0.82 | 0.82 | 1.00 | 0.82 | 0.79 |
| 11 | 0.79 | 0.78 | 0.82 | 0.72 | 0.80 | 0.85 | 0.72 | 0.73 | 0.88 | 0.82 | 1.00 | 0.72 |
| 12 | 0.78 | 0.86 | 0.79 | 0.84 | 0.78 | 0.74 | 0.81 | 0.87 | 0.79 | 0.79 | 0.72 | 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