| Project Name | V.F |
| Project Name | V.F |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 122.0 | 83.7 | 79.7 | 78.7 | 64.1 | 61.3 | 53.9 | 53.9 | 50.6 | 48.7 | 40.3 | 28.5 |
| Cluster size | 283 | 192 | 227 | 212 | 187 | 181 | 139 | 142 | 145 | 146 | 83 | 63 |
| Average cluster RMSD | 2.3 | 2.3 | 2.8 | 2.7 | 2.9 | 3.0 | 2.6 | 2.6 | 2.9 | 3.0 | 2.1 | 2.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.06 | 3.60 | 4.75 | 3.40 | 3.96 | 3.68 | 6.18 | 3.55 | 4.01 | 4.92 | 6.74 | 4.47 |
| GDT_TS | 0.70 | 0.67 | 0.61 | 0.67 | 0.69 | 0.66 | 0.64 | 0.57 | 0.64 | 0.63 | 0.66 | 0.66 |
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 | 1.51 | 3.51 | 1.79 | 3.26 | 2.27 | 5.07 | 3.25 | 3.03 | 3.43 | 6.39 | 2.58 |
| 2 | 1.51 | 0.00 | 4.02 | 2.16 | 3.89 | 3.09 | 5.98 | 4.09 | 3.44 | 4.13 | 7.42 | 2.64 |
| 3 | 3.51 | 4.02 | 0.00 | 3.93 | 4.90 | 4.24 | 4.65 | 3.15 | 4.25 | 2.52 | 6.52 | 2.98 |
| 4 | 1.79 | 2.16 | 3.93 | 0.00 | 2.95 | 1.93 | 5.11 | 3.71 | 2.22 | 3.16 | 6.18 | 3.18 |
| 5 | 3.26 | 3.89 | 4.90 | 2.95 | 0.00 | 2.90 | 4.27 | 4.66 | 2.32 | 3.79 | 4.80 | 4.29 |
| 6 | 2.27 | 3.09 | 4.24 | 1.93 | 2.90 | 0.00 | 4.45 | 3.85 | 2.39 | 3.22 | 5.26 | 3.62 |
| 7 | 5.07 | 5.98 | 4.65 | 5.11 | 4.27 | 4.45 | 0.00 | 5.73 | 4.86 | 3.39 | 4.75 | 4.97 |
| 8 | 3.25 | 4.09 | 3.15 | 3.71 | 4.66 | 3.85 | 5.73 | 0.00 | 3.95 | 4.02 | 5.77 | 3.96 |
| 9 | 3.03 | 3.44 | 4.25 | 2.22 | 2.32 | 2.39 | 4.86 | 3.95 | 0.00 | 3.49 | 5.08 | 4.01 |
| 10 | 3.43 | 4.13 | 2.52 | 3.16 | 3.79 | 3.22 | 3.39 | 4.02 | 3.49 | 0.00 | 5.77 | 3.25 |
| 11 | 6.39 | 7.42 | 6.52 | 6.18 | 4.80 | 5.26 | 4.75 | 5.77 | 5.08 | 5.77 | 0.00 | 7.21 |
| 12 | 2.58 | 2.64 | 2.98 | 3.18 | 4.29 | 3.62 | 4.97 | 3.96 | 4.01 | 3.25 | 7.21 | 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 | 0.90 | 0.69 | 0.89 | 0.82 | 0.89 | 0.67 | 0.59 | 0.87 | 0.73 | 0.72 | 0.82 |
| 2 | 0.90 | 1.00 | 0.66 | 0.94 | 0.84 | 0.89 | 0.64 | 0.60 | 0.85 | 0.71 | 0.68 | 0.79 |
| 3 | 0.69 | 0.66 | 1.00 | 0.68 | 0.67 | 0.64 | 0.71 | 0.70 | 0.64 | 0.83 | 0.56 | 0.71 |
| 4 | 0.89 | 0.94 | 0.68 | 1.00 | 0.86 | 0.87 | 0.67 | 0.59 | 0.94 | 0.74 | 0.71 | 0.81 |
| 5 | 0.82 | 0.84 | 0.67 | 0.86 | 1.00 | 0.81 | 0.64 | 0.56 | 0.84 | 0.70 | 0.69 | 0.71 |
| 6 | 0.89 | 0.89 | 0.64 | 0.87 | 0.81 | 1.00 | 0.64 | 0.60 | 0.85 | 0.67 | 0.68 | 0.81 |
| 7 | 0.67 | 0.64 | 0.71 | 0.67 | 0.64 | 0.64 | 1.00 | 0.59 | 0.65 | 0.77 | 0.64 | 0.73 |
| 8 | 0.59 | 0.60 | 0.70 | 0.59 | 0.56 | 0.60 | 0.59 | 1.00 | 0.66 | 0.64 | 0.69 | 0.66 |
| 9 | 0.87 | 0.85 | 0.64 | 0.94 | 0.84 | 0.85 | 0.65 | 0.66 | 1.00 | 0.69 | 0.72 | 0.78 |
| 10 | 0.73 | 0.71 | 0.83 | 0.74 | 0.70 | 0.67 | 0.77 | 0.64 | 0.69 | 1.00 | 0.62 | 0.77 |
| 11 | 0.72 | 0.68 | 0.56 | 0.71 | 0.69 | 0.68 | 0.64 | 0.69 | 0.72 | 0.62 | 1.00 | 0.69 |
| 12 | 0.82 | 0.79 | 0.71 | 0.81 | 0.71 | 0.81 | 0.73 | 0.66 | 0.78 | 0.77 | 0.69 | 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