| Project Name | Tetherin_with_NAG |
| Project Name | Tetherin_with_NAG |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 159.5 | 153.1 | 129.6 | 125.6 | 122.0 | 120.8 | 118.0 | 108.9 | 107.0 | 60.8 | 49.9 | 38.3 |
| Cluster size | 267 | 222 | 219 | 143 | 193 | 198 | 189 | 170 | 119 | 124 | 90 | 66 |
| Average cluster RMSD | 1.7 | 1.5 | 1.7 | 1.1 | 1.6 | 1.6 | 1.6 | 1.6 | 1.1 | 2.0 | 1.8 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 8.41 | 7.79 | 7.56 | 7.27 | 8.35 | 7.27 | 8.79 | 8.40 | 9.44 | 8.50 | 7.45 | 8.74 |
| GDT_TS | 0.52 | 0.50 | 0.47 | 0.55 | 0.51 | 0.52 | 0.48 | 0.49 | 0.49 | 0.50 | 0.48 | 0.49 |
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 | 1.54 | 3.18 | 3.19 | 1.80 | 2.38 | 2.66 | 2.36 | 1.78 | 3.02 | 3.60 | 2.78 |
| 2 | 1.54 | 0.00 | 2.87 | 2.66 | 1.34 | 1.90 | 1.96 | 1.83 | 2.39 | 2.57 | 3.71 | 2.42 |
| 3 | 3.18 | 2.87 | 0.00 | 2.61 | 2.46 | 1.93 | 3.93 | 3.75 | 3.81 | 4.51 | 2.85 | 3.30 |
| 4 | 3.19 | 2.66 | 2.61 | 0.00 | 2.23 | 1.80 | 3.93 | 3.34 | 3.60 | 3.95 | 3.47 | 3.81 |
| 5 | 1.80 | 1.34 | 2.46 | 2.23 | 0.00 | 1.74 | 2.48 | 2.09 | 2.03 | 2.75 | 3.42 | 2.40 |
| 6 | 2.38 | 1.90 | 1.93 | 1.80 | 1.74 | 0.00 | 3.27 | 2.96 | 3.09 | 3.63 | 2.74 | 3.10 |
| 7 | 2.66 | 1.96 | 3.93 | 3.93 | 2.48 | 3.27 | 0.00 | 1.62 | 2.91 | 2.29 | 4.71 | 2.40 |
| 8 | 2.36 | 1.83 | 3.75 | 3.34 | 2.09 | 2.96 | 1.62 | 0.00 | 2.42 | 1.88 | 4.21 | 2.44 |
| 9 | 1.78 | 2.39 | 3.81 | 3.60 | 2.03 | 3.09 | 2.91 | 2.42 | 0.00 | 3.01 | 3.98 | 3.07 |
| 10 | 3.02 | 2.57 | 4.51 | 3.95 | 2.75 | 3.63 | 2.29 | 1.88 | 3.01 | 0.00 | 4.29 | 2.54 |
| 11 | 3.60 | 3.71 | 2.85 | 3.47 | 3.42 | 2.74 | 4.71 | 4.21 | 3.98 | 4.29 | 0.00 | 3.69 |
| 12 | 2.78 | 2.42 | 3.30 | 3.81 | 2.40 | 3.10 | 2.40 | 2.44 | 3.07 | 2.54 | 3.69 | 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 | 0.84 | 0.70 | 0.66 | 0.84 | 0.75 | 0.70 | 0.76 | 0.80 | 0.65 | 0.64 | 0.78 |
| 2 | 0.84 | 1.00 | 0.79 | 0.69 | 0.89 | 0.77 | 0.77 | 0.80 | 0.73 | 0.75 | 0.66 | 0.84 |
| 3 | 0.70 | 0.79 | 1.00 | 0.69 | 0.74 | 0.79 | 0.61 | 0.64 | 0.70 | 0.59 | 0.75 | 0.70 |
| 4 | 0.66 | 0.69 | 0.69 | 1.00 | 0.78 | 0.79 | 0.60 | 0.69 | 0.69 | 0.63 | 0.71 | 0.62 |
| 5 | 0.84 | 0.89 | 0.74 | 0.78 | 1.00 | 0.83 | 0.70 | 0.81 | 0.79 | 0.73 | 0.66 | 0.78 |
| 6 | 0.75 | 0.77 | 0.79 | 0.79 | 0.83 | 1.00 | 0.63 | 0.69 | 0.71 | 0.64 | 0.81 | 0.67 |
| 7 | 0.70 | 0.77 | 0.61 | 0.60 | 0.70 | 0.63 | 1.00 | 0.80 | 0.67 | 0.80 | 0.54 | 0.86 |
| 8 | 0.76 | 0.80 | 0.64 | 0.69 | 0.81 | 0.69 | 0.80 | 1.00 | 0.71 | 0.85 | 0.58 | 0.81 |
| 9 | 0.80 | 0.73 | 0.70 | 0.69 | 0.79 | 0.71 | 0.67 | 0.71 | 1.00 | 0.64 | 0.64 | 0.66 |
| 10 | 0.65 | 0.75 | 0.59 | 0.63 | 0.73 | 0.64 | 0.80 | 0.85 | 0.64 | 1.00 | 0.57 | 0.77 |
| 11 | 0.64 | 0.66 | 0.75 | 0.71 | 0.66 | 0.81 | 0.54 | 0.58 | 0.64 | 0.57 | 1.00 | 0.56 |
| 12 | 0.78 | 0.84 | 0.70 | 0.62 | 0.78 | 0.67 | 0.86 | 0.81 | 0.66 | 0.77 | 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