| Project Name | Tetherin_Minimized_No_substrate |
| Project Name | Tetherin_Minimized_No_substrate |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 212.3 | 143.5 | 132.8 | 100.3 | 95.2 | 92.2 | 89.1 | 87.5 | 83.9 | 77.6 | 58.4 | 55.6 |
| Cluster size | 358 | 215 | 192 | 180 | 187 | 108 | 118 | 159 | 123 | 147 | 118 | 95 |
| Average cluster RMSD | 1.7 | 1.5 | 1.4 | 1.8 | 2.0 | 1.2 | 1.3 | 1.8 | 1.5 | 1.9 | 2.0 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.54 | 4.52 | 4.59 | 3.74 | 4.76 | 5.94 | 4.83 | 4.49 | 5.07 | 4.08 | 4.43 | 4.52 |
| GDT_TS | 0.59 | 0.61 | 0.54 | 0.50 | 0.56 | 0.45 | 0.52 | 0.54 | 0.54 | 0.59 | 0.57 | 0.45 |
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 | 2.60 | 2.26 | 1.05 | 2.59 | 3.57 | 2.75 | 2.62 | 3.10 | 1.80 | 2.54 | 2.65 |
| 2 | 2.60 | 0.00 | 1.98 | 2.42 | 2.21 | 2.84 | 2.15 | 1.73 | 1.96 | 3.15 | 2.66 | 3.45 |
| 3 | 2.26 | 1.98 | 0.00 | 2.06 | 2.13 | 1.86 | 1.32 | 2.30 | 2.26 | 2.87 | 2.86 | 3.75 |
| 4 | 1.05 | 2.42 | 2.06 | 0.00 | 2.38 | 3.24 | 2.76 | 2.35 | 3.03 | 1.78 | 2.56 | 2.62 |
| 5 | 2.59 | 2.21 | 2.13 | 2.38 | 0.00 | 2.66 | 2.25 | 1.78 | 2.70 | 2.38 | 1.86 | 3.71 |
| 6 | 3.57 | 2.84 | 1.86 | 3.24 | 2.66 | 0.00 | 1.97 | 3.03 | 2.35 | 3.67 | 3.39 | 4.83 |
| 7 | 2.75 | 2.15 | 1.32 | 2.76 | 2.25 | 1.97 | 0.00 | 2.49 | 2.27 | 3.19 | 2.76 | 4.14 |
| 8 | 2.62 | 1.73 | 2.30 | 2.35 | 1.78 | 3.03 | 2.49 | 0.00 | 2.67 | 2.77 | 2.22 | 3.39 |
| 9 | 3.10 | 1.96 | 2.26 | 3.03 | 2.70 | 2.35 | 2.27 | 2.67 | 0.00 | 3.24 | 2.77 | 4.45 |
| 10 | 1.80 | 3.15 | 2.87 | 1.78 | 2.38 | 3.67 | 3.19 | 2.77 | 3.24 | 0.00 | 2.10 | 3.34 |
| 11 | 2.54 | 2.66 | 2.86 | 2.56 | 1.86 | 3.39 | 2.76 | 2.22 | 2.77 | 2.10 | 0.00 | 3.78 |
| 12 | 2.65 | 3.45 | 3.75 | 2.62 | 3.71 | 4.83 | 4.14 | 3.39 | 4.45 | 3.34 | 3.78 | 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 | 0.78 | 0.84 | 0.92 | 0.78 | 0.69 | 0.79 | 0.70 | 0.68 | 0.93 | 0.80 | 0.71 |
| 2 | 0.78 | 1.00 | 0.77 | 0.74 | 0.85 | 0.67 | 0.73 | 0.82 | 0.79 | 0.75 | 0.81 | 0.60 |
| 3 | 0.84 | 0.77 | 1.00 | 0.79 | 0.81 | 0.79 | 0.89 | 0.73 | 0.78 | 0.79 | 0.78 | 0.59 |
| 4 | 0.92 | 0.74 | 0.79 | 1.00 | 0.73 | 0.68 | 0.72 | 0.73 | 0.66 | 0.90 | 0.77 | 0.72 |
| 5 | 0.78 | 0.85 | 0.81 | 0.73 | 1.00 | 0.71 | 0.78 | 0.83 | 0.73 | 0.76 | 0.89 | 0.60 |
| 6 | 0.69 | 0.67 | 0.79 | 0.68 | 0.71 | 1.00 | 0.78 | 0.66 | 0.75 | 0.66 | 0.67 | 0.52 |
| 7 | 0.79 | 0.73 | 0.89 | 0.72 | 0.78 | 0.78 | 1.00 | 0.70 | 0.74 | 0.74 | 0.76 | 0.57 |
| 8 | 0.70 | 0.82 | 0.73 | 0.73 | 0.83 | 0.66 | 0.70 | 1.00 | 0.71 | 0.73 | 0.86 | 0.62 |
| 9 | 0.68 | 0.79 | 0.78 | 0.66 | 0.73 | 0.75 | 0.74 | 0.71 | 1.00 | 0.69 | 0.70 | 0.53 |
| 10 | 0.93 | 0.75 | 0.79 | 0.90 | 0.76 | 0.66 | 0.74 | 0.73 | 0.69 | 1.00 | 0.80 | 0.69 |
| 11 | 0.80 | 0.81 | 0.78 | 0.77 | 0.89 | 0.67 | 0.76 | 0.86 | 0.70 | 0.80 | 1.00 | 0.59 |
| 12 | 0.71 | 0.60 | 0.59 | 0.72 | 0.60 | 0.52 | 0.57 | 0.62 | 0.53 | 0.69 | 0.59 | 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