| Project Name | Model |
| Project Name | Model |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 165.9 | 156.0 | 124.5 | 122.6 | 118.9 | 105.7 | 87.2 | 73.3 | 65.1 | 56.2 | 49.5 | 25.5 |
| Cluster size | 315 | 280 | 159 | 231 | 183 | 234 | 114 | 152 | 101 | 101 | 83 | 47 |
| Average cluster RMSD | 1.9 | 1.8 | 1.3 | 1.9 | 1.5 | 2.2 | 1.3 | 2.1 | 1.6 | 1.8 | 1.7 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.97 | 4.08 | 6.24 | 3.59 | 6.93 | 4.40 | 5.67 | 4.21 | 5.70 | 7.15 | 5.86 | 6.33 |
| GDT_TS | 0.66 | 0.66 | 0.56 | 0.67 | 0.54 | 0.62 | 0.58 | 0.67 | 0.60 | 0.54 | 0.60 | 0.53 |
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 | 0.84 | 5.15 | 1.44 | 5.45 | 2.03 | 2.67 | 2.43 | 2.92 | 6.05 | 4.55 | 4.75 |
| 2 | 0.84 | 0.00 | 5.18 | 1.85 | 5.45 | 2.21 | 2.37 | 2.76 | 2.75 | 6.05 | 4.54 | 4.72 |
| 3 | 5.15 | 5.18 | 0.00 | 5.74 | 1.57 | 5.71 | 6.10 | 4.93 | 5.58 | 2.43 | 3.44 | 1.59 |
| 4 | 1.44 | 1.85 | 5.74 | 0.00 | 6.07 | 2.10 | 3.49 | 2.46 | 3.47 | 6.49 | 4.94 | 5.44 |
| 5 | 5.45 | 5.45 | 1.57 | 6.07 | 0.00 | 5.97 | 6.21 | 5.39 | 5.62 | 1.90 | 3.31 | 1.49 |
| 6 | 2.03 | 2.21 | 5.71 | 2.10 | 5.97 | 0.00 | 3.30 | 1.76 | 2.78 | 6.15 | 5.23 | 5.34 |
| 7 | 2.67 | 2.37 | 6.10 | 3.49 | 6.21 | 3.30 | 0.00 | 4.09 | 2.00 | 6.98 | 5.63 | 5.50 |
| 8 | 2.43 | 2.76 | 4.93 | 2.46 | 5.39 | 1.76 | 4.09 | 0.00 | 3.51 | 5.41 | 4.75 | 4.81 |
| 9 | 2.92 | 2.75 | 5.58 | 3.47 | 5.62 | 2.78 | 2.00 | 3.51 | 0.00 | 6.12 | 5.19 | 5.01 |
| 10 | 6.05 | 6.05 | 2.43 | 6.49 | 1.90 | 6.15 | 6.98 | 5.41 | 6.12 | 0.00 | 3.63 | 2.76 |
| 11 | 4.55 | 4.54 | 3.44 | 4.94 | 3.31 | 5.23 | 5.63 | 4.75 | 5.19 | 3.63 | 0.00 | 3.51 |
| 12 | 4.75 | 4.72 | 1.59 | 5.44 | 1.49 | 5.34 | 5.50 | 4.81 | 5.01 | 2.76 | 3.51 | 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 | 0.96 | 0.58 | 0.88 | 0.62 | 0.89 | 0.76 | 0.89 | 0.69 | 0.64 | 0.71 | 0.61 |
| 2 | 0.96 | 1.00 | 0.56 | 0.86 | 0.57 | 0.87 | 0.75 | 0.85 | 0.71 | 0.59 | 0.71 | 0.55 |
| 3 | 0.58 | 0.56 | 1.00 | 0.54 | 0.83 | 0.56 | 0.54 | 0.66 | 0.53 | 0.74 | 0.70 | 0.82 |
| 4 | 0.88 | 0.86 | 0.54 | 1.00 | 0.58 | 0.82 | 0.70 | 0.84 | 0.69 | 0.63 | 0.70 | 0.58 |
| 5 | 0.62 | 0.57 | 0.83 | 0.58 | 1.00 | 0.58 | 0.57 | 0.69 | 0.56 | 0.90 | 0.73 | 0.86 |
| 6 | 0.89 | 0.87 | 0.56 | 0.82 | 0.58 | 1.00 | 0.78 | 0.83 | 0.72 | 0.64 | 0.69 | 0.58 |
| 7 | 0.76 | 0.75 | 0.54 | 0.70 | 0.57 | 0.78 | 1.00 | 0.72 | 0.85 | 0.60 | 0.60 | 0.55 |
| 8 | 0.89 | 0.85 | 0.66 | 0.84 | 0.69 | 0.83 | 0.72 | 1.00 | 0.67 | 0.72 | 0.72 | 0.69 |
| 9 | 0.69 | 0.71 | 0.53 | 0.69 | 0.56 | 0.72 | 0.85 | 0.67 | 1.00 | 0.59 | 0.60 | 0.57 |
| 10 | 0.64 | 0.59 | 0.74 | 0.63 | 0.90 | 0.64 | 0.60 | 0.72 | 0.59 | 1.00 | 0.73 | 0.79 |
| 11 | 0.71 | 0.71 | 0.70 | 0.70 | 0.73 | 0.69 | 0.60 | 0.72 | 0.60 | 0.73 | 1.00 | 0.68 |
| 12 | 0.61 | 0.55 | 0.82 | 0.58 | 0.86 | 0.58 | 0.55 | 0.69 | 0.57 | 0.79 | 0.68 | 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