| Project Name | V.L |
| Project Name | V.L |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 105.2 | 81.2 | 69.1 | 61.0 | 58.8 | 52.1 | 49.8 | 49.0 | 42.4 | 40.2 | 35.1 | 23.5 |
| Cluster size | 268 | 270 | 196 | 188 | 181 | 157 | 127 | 173 | 137 | 150 | 81 | 72 |
| Average cluster RMSD | 2.5 | 3.3 | 2.8 | 3.1 | 3.1 | 3.0 | 2.5 | 3.5 | 3.2 | 3.7 | 2.3 | 3.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.40 | 4.24 | 3.99 | 4.23 | 4.45 | 4.60 | 3.50 | 4.70 | 4.78 | 5.16 | 6.05 | 6.77 |
| GDT_TS | 0.65 | 0.61 | 0.66 | 0.63 | 0.61 | 0.63 | 0.63 | 0.63 | 0.57 | 0.63 | 0.68 | 0.54 |
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 | 3.09 | 2.69 | 2.39 | 3.62 | 3.87 | 1.33 | 3.41 | 4.53 | 4.81 | 5.93 | 6.24 |
| 2 | 3.09 | 0.00 | 2.91 | 3.07 | 2.81 | 2.72 | 2.84 | 4.32 | 4.96 | 4.93 | 4.92 | 6.27 |
| 3 | 2.69 | 2.91 | 0.00 | 3.57 | 3.17 | 3.58 | 2.51 | 3.80 | 5.45 | 5.51 | 4.56 | 6.20 |
| 4 | 2.39 | 3.07 | 3.57 | 0.00 | 4.50 | 4.61 | 2.78 | 2.42 | 4.96 | 4.54 | 6.91 | 6.72 |
| 5 | 3.62 | 2.81 | 3.17 | 4.50 | 0.00 | 2.27 | 3.49 | 5.29 | 5.47 | 5.62 | 3.98 | 6.09 |
| 6 | 3.87 | 2.72 | 3.58 | 4.61 | 2.27 | 0.00 | 3.94 | 5.24 | 4.39 | 4.18 | 3.24 | 4.91 |
| 7 | 1.33 | 2.84 | 2.51 | 2.78 | 3.49 | 3.94 | 0.00 | 3.78 | 4.91 | 5.35 | 5.65 | 6.64 |
| 8 | 3.41 | 4.32 | 3.80 | 2.42 | 5.29 | 5.24 | 3.78 | 0.00 | 4.77 | 4.15 | 7.05 | 5.94 |
| 9 | 4.53 | 4.96 | 5.45 | 4.96 | 5.47 | 4.39 | 4.91 | 4.77 | 0.00 | 3.07 | 5.73 | 3.34 |
| 10 | 4.81 | 4.93 | 5.51 | 4.54 | 5.62 | 4.18 | 5.35 | 4.15 | 3.07 | 0.00 | 5.99 | 4.05 |
| 11 | 5.93 | 4.92 | 4.56 | 6.91 | 3.98 | 3.24 | 5.65 | 7.05 | 5.73 | 5.99 | 0.00 | 5.10 |
| 12 | 6.24 | 6.27 | 6.20 | 6.72 | 6.09 | 4.91 | 6.64 | 5.94 | 3.34 | 4.05 | 5.10 | 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 | 0.70 | 0.79 | 0.83 | 0.68 | 0.74 | 0.93 | 0.69 | 0.65 | 0.67 | 0.65 | 0.59 |
| 2 | 0.70 | 1.00 | 0.76 | 0.75 | 0.76 | 0.86 | 0.70 | 0.69 | 0.58 | 0.69 | 0.69 | 0.57 |
| 3 | 0.79 | 0.76 | 1.00 | 0.76 | 0.81 | 0.83 | 0.81 | 0.67 | 0.56 | 0.69 | 0.72 | 0.51 |
| 4 | 0.83 | 0.75 | 0.76 | 1.00 | 0.64 | 0.73 | 0.82 | 0.82 | 0.71 | 0.83 | 0.62 | 0.65 |
| 5 | 0.68 | 0.76 | 0.81 | 0.64 | 1.00 | 0.86 | 0.68 | 0.62 | 0.59 | 0.61 | 0.78 | 0.56 |
| 6 | 0.74 | 0.86 | 0.83 | 0.73 | 0.86 | 1.00 | 0.73 | 0.67 | 0.62 | 0.64 | 0.77 | 0.57 |
| 7 | 0.93 | 0.70 | 0.81 | 0.82 | 0.68 | 0.73 | 1.00 | 0.72 | 0.63 | 0.68 | 0.64 | 0.58 |
| 8 | 0.69 | 0.69 | 0.67 | 0.82 | 0.62 | 0.67 | 0.72 | 1.00 | 0.76 | 0.90 | 0.56 | 0.68 |
| 9 | 0.65 | 0.58 | 0.56 | 0.71 | 0.59 | 0.62 | 0.63 | 0.76 | 1.00 | 0.75 | 0.51 | 0.85 |
| 10 | 0.67 | 0.69 | 0.69 | 0.83 | 0.61 | 0.64 | 0.68 | 0.90 | 0.75 | 1.00 | 0.58 | 0.64 |
| 11 | 0.65 | 0.69 | 0.72 | 0.62 | 0.78 | 0.77 | 0.64 | 0.56 | 0.51 | 0.58 | 1.00 | 0.47 |
| 12 | 0.59 | 0.57 | 0.51 | 0.65 | 0.56 | 0.57 | 0.58 | 0.68 | 0.85 | 0.64 | 0.47 | 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