| Project Name | Tetherine74 |
| Project Name | Tetherine74 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 144.4 | 114.6 | 112.8 | 65.1 | 64.7 | 63.6 | 49.8 | 44.5 | 43.0 | 24.6 | 21.8 | 20.8 |
| Cluster size | 328 | 290 | 274 | 168 | 199 | 165 | 142 | 134 | 128 | 66 | 52 | 54 |
| Average cluster RMSD | 2.3 | 2.5 | 2.4 | 2.6 | 3.1 | 2.6 | 2.9 | 3.0 | 3.0 | 2.7 | 2.4 | 2.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.81 | 4.24 | 4.22 | 4.29 | 3.68 | 3.07 | 4.06 | 3.54 | 3.87 | 4.91 | 5.45 | 5.07 |
| GDT_TS | 0.64 | 0.60 | 0.61 | 0.61 | 0.71 | 0.73 | 0.72 | 0.74 | 0.75 | 0.60 | 0.55 | 0.65 |
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 | 0.79 | 1.32 | 1.47 | 2.68 | 1.78 | 4.32 | 2.46 | 4.13 | 3.32 | 5.13 | 5.33 |
| 2 | 0.79 | 0.00 | 1.21 | 1.45 | 2.94 | 2.15 | 4.49 | 2.81 | 4.38 | 3.52 | 5.09 | 5.46 |
| 3 | 1.32 | 1.21 | 0.00 | 1.28 | 3.07 | 2.11 | 4.70 | 3.23 | 4.42 | 3.60 | 5.34 | 5.87 |
| 4 | 1.47 | 1.45 | 1.28 | 0.00 | 2.83 | 2.36 | 4.20 | 2.87 | 4.10 | 3.40 | 5.22 | 5.42 |
| 5 | 2.68 | 2.94 | 3.07 | 2.83 | 0.00 | 2.58 | 2.71 | 2.87 | 2.14 | 3.69 | 5.30 | 4.61 |
| 6 | 1.78 | 2.15 | 2.11 | 2.36 | 2.58 | 0.00 | 4.37 | 2.74 | 3.99 | 3.66 | 5.85 | 5.45 |
| 7 | 4.32 | 4.49 | 4.70 | 4.20 | 2.71 | 4.37 | 0.00 | 3.34 | 2.03 | 4.91 | 4.44 | 3.03 |
| 8 | 2.46 | 2.81 | 3.23 | 2.87 | 2.87 | 2.74 | 3.34 | 0.00 | 3.81 | 4.12 | 4.43 | 3.76 |
| 9 | 4.13 | 4.38 | 4.42 | 4.10 | 2.14 | 3.99 | 2.03 | 3.81 | 0.00 | 4.58 | 5.13 | 4.10 |
| 10 | 3.32 | 3.52 | 3.60 | 3.40 | 3.69 | 3.66 | 4.91 | 4.12 | 4.58 | 0.00 | 4.74 | 5.74 |
| 11 | 5.13 | 5.09 | 5.34 | 5.22 | 5.30 | 5.85 | 4.44 | 4.43 | 5.13 | 4.74 | 0.00 | 4.02 |
| 12 | 5.33 | 5.46 | 5.87 | 5.42 | 4.61 | 5.45 | 3.03 | 3.76 | 4.10 | 5.74 | 4.02 | 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 | 0.96 | 0.94 | 0.91 | 0.86 | 0.88 | 0.75 | 0.84 | 0.83 | 0.75 | 0.71 | 0.66 |
| 2 | 0.96 | 1.00 | 0.92 | 0.90 | 0.82 | 0.81 | 0.77 | 0.78 | 0.79 | 0.72 | 0.70 | 0.65 |
| 3 | 0.94 | 0.92 | 1.00 | 0.95 | 0.84 | 0.79 | 0.75 | 0.74 | 0.77 | 0.75 | 0.72 | 0.61 |
| 4 | 0.91 | 0.90 | 0.95 | 1.00 | 0.82 | 0.80 | 0.75 | 0.77 | 0.76 | 0.76 | 0.70 | 0.63 |
| 5 | 0.86 | 0.82 | 0.84 | 0.82 | 1.00 | 0.89 | 0.86 | 0.78 | 0.89 | 0.69 | 0.63 | 0.66 |
| 6 | 0.88 | 0.81 | 0.79 | 0.80 | 0.89 | 1.00 | 0.84 | 0.91 | 0.87 | 0.70 | 0.63 | 0.71 |
| 7 | 0.75 | 0.77 | 0.75 | 0.75 | 0.86 | 0.84 | 1.00 | 0.76 | 0.86 | 0.65 | 0.62 | 0.68 |
| 8 | 0.84 | 0.78 | 0.74 | 0.77 | 0.78 | 0.91 | 0.76 | 1.00 | 0.81 | 0.65 | 0.64 | 0.72 |
| 9 | 0.83 | 0.79 | 0.77 | 0.76 | 0.89 | 0.87 | 0.86 | 0.81 | 1.00 | 0.65 | 0.57 | 0.69 |
| 10 | 0.75 | 0.72 | 0.75 | 0.76 | 0.69 | 0.70 | 0.65 | 0.65 | 0.65 | 1.00 | 0.80 | 0.59 |
| 11 | 0.71 | 0.70 | 0.72 | 0.70 | 0.63 | 0.63 | 0.62 | 0.64 | 0.57 | 0.80 | 1.00 | 0.56 |
| 12 | 0.66 | 0.65 | 0.61 | 0.63 | 0.66 | 0.71 | 0.68 | 0.72 | 0.69 | 0.59 | 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