| Project Name | A130V |
| Project Name | A130V |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 176.6 | 168.6 | 161.9 | 159.0 | 107.8 | 99.8 | 96.9 | 80.8 | 72.7 | 69.9 | 63.8 | 56.2 |
| Cluster size | 224 | 279 | 268 | 250 | 169 | 173 | 142 | 116 | 122 | 102 | 85 | 70 |
| Average cluster RMSD | 1.3 | 1.7 | 1.7 | 1.6 | 1.6 | 1.7 | 1.5 | 1.4 | 1.7 | 1.5 | 1.3 | 1.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.07 | 2.35 | 1.73 | 2.03 | 2.49 | 2.50 | 1.69 | 1.73 | 2.07 | 1.11 | 2.48 | 2.68 |
| GDT_TS | 0.78 | 0.73 | 0.79 | 0.78 | 0.73 | 0.71 | 0.81 | 0.82 | 0.80 | 0.89 | 0.77 | 0.75 |
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 | 2.26 | 1.76 | 1.26 | 2.77 | 2.38 | 1.99 | 1.55 | 1.19 | 1.67 | 1.99 | 1.99 |
| 2 | 2.26 | 0.00 | 1.70 | 1.60 | 0.93 | 0.62 | 1.34 | 1.87 | 2.37 | 2.11 | 2.33 | 3.02 |
| 3 | 1.76 | 1.70 | 0.00 | 1.72 | 2.03 | 1.72 | 1.81 | 1.66 | 1.84 | 1.47 | 2.18 | 2.50 |
| 4 | 1.26 | 1.60 | 1.72 | 0.00 | 1.91 | 1.59 | 1.42 | 1.31 | 1.65 | 1.75 | 1.51 | 2.43 |
| 5 | 2.77 | 0.93 | 2.03 | 1.91 | 0.00 | 0.94 | 1.37 | 2.20 | 2.82 | 2.35 | 2.46 | 3.36 |
| 6 | 2.38 | 0.62 | 1.72 | 1.59 | 0.94 | 0.00 | 1.49 | 1.91 | 2.49 | 2.25 | 2.23 | 3.11 |
| 7 | 1.99 | 1.34 | 1.81 | 1.42 | 1.37 | 1.49 | 0.00 | 1.71 | 2.14 | 1.43 | 2.20 | 2.55 |
| 8 | 1.55 | 1.87 | 1.66 | 1.31 | 2.20 | 1.91 | 1.71 | 0.00 | 1.51 | 1.58 | 1.94 | 2.79 |
| 9 | 1.19 | 2.37 | 1.84 | 1.65 | 2.82 | 2.49 | 2.14 | 1.51 | 0.00 | 1.70 | 1.75 | 2.02 |
| 10 | 1.67 | 2.11 | 1.47 | 1.75 | 2.35 | 2.25 | 1.43 | 1.58 | 1.70 | 0.00 | 2.24 | 2.19 |
| 11 | 1.99 | 2.33 | 2.18 | 1.51 | 2.46 | 2.23 | 2.20 | 1.94 | 1.75 | 2.24 | 0.00 | 2.34 |
| 12 | 1.99 | 3.02 | 2.50 | 2.43 | 3.36 | 3.11 | 2.55 | 2.79 | 2.02 | 2.19 | 2.34 | 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 | 0.84 | 0.91 | 0.72 | 0.76 | 0.81 | 0.86 | 0.96 | 0.84 | 0.83 | 0.82 |
| 2 | 0.81 | 1.00 | 0.85 | 0.91 | 0.94 | 0.98 | 0.88 | 0.86 | 0.83 | 0.77 | 0.86 | 0.75 |
| 3 | 0.84 | 0.85 | 1.00 | 0.81 | 0.82 | 0.83 | 0.84 | 0.84 | 0.88 | 0.85 | 0.82 | 0.78 |
| 4 | 0.91 | 0.91 | 0.81 | 1.00 | 0.86 | 0.91 | 0.87 | 0.91 | 0.86 | 0.83 | 0.93 | 0.77 |
| 5 | 0.72 | 0.94 | 0.82 | 0.86 | 1.00 | 0.93 | 0.88 | 0.82 | 0.75 | 0.72 | 0.84 | 0.73 |
| 6 | 0.76 | 0.98 | 0.83 | 0.91 | 0.93 | 1.00 | 0.85 | 0.84 | 0.78 | 0.73 | 0.88 | 0.72 |
| 7 | 0.81 | 0.88 | 0.84 | 0.87 | 0.88 | 0.85 | 1.00 | 0.84 | 0.85 | 0.87 | 0.82 | 0.77 |
| 8 | 0.86 | 0.86 | 0.84 | 0.91 | 0.82 | 0.84 | 0.84 | 1.00 | 0.88 | 0.86 | 0.88 | 0.77 |
| 9 | 0.96 | 0.83 | 0.88 | 0.86 | 0.75 | 0.78 | 0.85 | 0.88 | 1.00 | 0.90 | 0.83 | 0.83 |
| 10 | 0.84 | 0.77 | 0.85 | 0.83 | 0.72 | 0.73 | 0.87 | 0.86 | 0.90 | 1.00 | 0.81 | 0.83 |
| 11 | 0.83 | 0.86 | 0.82 | 0.93 | 0.84 | 0.88 | 0.82 | 0.88 | 0.83 | 0.81 | 1.00 | 0.76 |
| 12 | 0.82 | 0.75 | 0.78 | 0.77 | 0.73 | 0.72 | 0.77 | 0.77 | 0.83 | 0.83 | 0.76 | 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