| Project Name | Tetherine110 |
| Project Name | Tetherine110 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 217.0 | 164.7 | 164.3 | 157.5 | 150.4 | 134.0 | 127.8 | 124.7 | 105.7 | 67.4 | 55.5 | 32.8 |
| Cluster size | 317 | 171 | 152 | 186 | 219 | 222 | 154 | 153 | 145 | 122 | 106 | 53 |
| Average cluster RMSD | 1.5 | 1.0 | 0.9 | 1.2 | 1.5 | 1.7 | 1.2 | 1.2 | 1.4 | 1.8 | 1.9 | 1.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 1.57 | 1.83 | 3.32 | 1.82 | 2.39 | 1.63 | 4.07 | 3.76 | 3.11 | 2.07 | 2.24 | 1.96 |
| GDT_TS | 0.86 | 0.82 | 0.67 | 0.86 | 0.81 | 0.85 | 0.68 | 0.71 | 0.72 | 0.79 | 0.81 | 0.88 |
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 | 0.78 | 3.74 | 0.97 | 2.55 | 1.02 | 3.29 | 2.98 | 2.73 | 1.55 | 1.25 | 1.51 |
| 2 | 0.78 | 0.00 | 4.06 | 1.31 | 2.87 | 1.25 | 3.35 | 3.04 | 3.02 | 1.89 | 1.48 | 1.76 |
| 3 | 3.74 | 4.06 | 0.00 | 3.73 | 1.79 | 3.83 | 2.93 | 3.06 | 2.00 | 2.90 | 3.14 | 4.07 |
| 4 | 0.97 | 1.31 | 3.73 | 0.00 | 2.59 | 1.22 | 3.02 | 2.61 | 2.41 | 1.55 | 1.21 | 1.46 |
| 5 | 2.55 | 2.87 | 1.79 | 2.59 | 0.00 | 2.46 | 2.94 | 2.83 | 1.76 | 1.59 | 1.94 | 2.77 |
| 6 | 1.02 | 1.25 | 3.83 | 1.22 | 2.46 | 0.00 | 2.92 | 2.56 | 2.40 | 1.27 | 1.50 | 1.39 |
| 7 | 3.29 | 3.35 | 2.93 | 3.02 | 2.94 | 2.92 | 0.00 | 0.98 | 1.75 | 2.75 | 2.72 | 2.83 |
| 8 | 2.98 | 3.04 | 3.06 | 2.61 | 2.83 | 2.56 | 0.98 | 0.00 | 1.68 | 2.40 | 2.45 | 2.60 |
| 9 | 2.73 | 3.02 | 2.00 | 2.41 | 1.76 | 2.40 | 1.75 | 1.68 | 0.00 | 1.89 | 2.03 | 2.62 |
| 10 | 1.55 | 1.89 | 2.90 | 1.55 | 1.59 | 1.27 | 2.75 | 2.40 | 1.89 | 0.00 | 1.26 | 1.92 |
| 11 | 1.25 | 1.48 | 3.14 | 1.21 | 1.94 | 1.50 | 2.72 | 2.45 | 2.03 | 1.26 | 0.00 | 1.87 |
| 12 | 1.51 | 1.76 | 4.07 | 1.46 | 2.77 | 1.39 | 2.83 | 2.60 | 2.62 | 1.92 | 1.87 | 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 | 0.95 | 0.71 | 0.93 | 0.84 | 0.91 | 0.68 | 0.69 | 0.74 | 0.84 | 0.93 | 0.88 |
| 2 | 0.95 | 1.00 | 0.68 | 0.90 | 0.79 | 0.89 | 0.64 | 0.69 | 0.71 | 0.81 | 0.89 | 0.82 |
| 3 | 0.71 | 0.68 | 1.00 | 0.75 | 0.84 | 0.65 | 0.72 | 0.69 | 0.81 | 0.73 | 0.73 | 0.65 |
| 4 | 0.93 | 0.90 | 0.75 | 1.00 | 0.83 | 0.88 | 0.69 | 0.75 | 0.77 | 0.86 | 0.92 | 0.86 |
| 5 | 0.84 | 0.79 | 0.84 | 0.83 | 1.00 | 0.83 | 0.74 | 0.77 | 0.81 | 0.89 | 0.88 | 0.80 |
| 6 | 0.91 | 0.89 | 0.65 | 0.88 | 0.83 | 1.00 | 0.74 | 0.78 | 0.76 | 0.91 | 0.86 | 0.93 |
| 7 | 0.68 | 0.64 | 0.72 | 0.69 | 0.74 | 0.74 | 1.00 | 0.93 | 0.83 | 0.73 | 0.70 | 0.72 |
| 8 | 0.69 | 0.69 | 0.69 | 0.75 | 0.77 | 0.78 | 0.93 | 1.00 | 0.85 | 0.78 | 0.73 | 0.76 |
| 9 | 0.74 | 0.71 | 0.81 | 0.77 | 0.81 | 0.76 | 0.83 | 0.85 | 1.00 | 0.83 | 0.80 | 0.73 |
| 10 | 0.84 | 0.81 | 0.73 | 0.86 | 0.89 | 0.91 | 0.73 | 0.78 | 0.83 | 1.00 | 0.87 | 0.85 |
| 11 | 0.93 | 0.89 | 0.73 | 0.92 | 0.88 | 0.86 | 0.70 | 0.73 | 0.80 | 0.87 | 1.00 | 0.84 |
| 12 | 0.88 | 0.82 | 0.65 | 0.86 | 0.80 | 0.93 | 0.72 | 0.76 | 0.73 | 0.85 | 0.84 | 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