| Project Name | mutationea |
| Project Name | mutationea |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 137.0 | 104.7 | 87.9 | 83.0 | 79.1 | 77.2 | 66.8 | 52.4 | 39.3 | 38.7 | 36.5 | 27.0 |
| Cluster size | 318 | 211 | 194 | 196 | 201 | 210 | 156 | 122 | 117 | 115 | 110 | 50 |
| Average cluster RMSD | 2.3 | 2.0 | 2.2 | 2.4 | 2.5 | 2.7 | 2.3 | 2.3 | 3.0 | 3.0 | 3.0 | 1.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.35 | 6.00 | 4.67 | 5.30 | 6.43 | 4.84 | 4.91 | 6.01 | 5.90 | 6.26 | 6.27 | 7.33 |
| GDT_TS | 0.67 | 0.66 | 0.67 | 0.57 | 0.55 | 0.71 | 0.68 | 0.70 | 0.60 | 0.56 | 0.59 | 0.63 |
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 | 2.43 | 2.66 | 2.51 | 3.76 | 2.04 | 1.58 | 2.43 | 3.14 | 3.75 | 3.91 | 4.83 |
| 2 | 2.43 | 0.00 | 2.20 | 3.04 | 4.60 | 2.83 | 2.05 | 2.31 | 3.56 | 3.84 | 4.02 | 5.19 |
| 3 | 2.66 | 2.20 | 0.00 | 2.94 | 4.47 | 2.02 | 2.17 | 2.98 | 3.71 | 3.63 | 4.10 | 5.14 |
| 4 | 2.51 | 3.04 | 2.94 | 0.00 | 2.96 | 3.15 | 2.56 | 3.60 | 3.33 | 2.57 | 3.94 | 5.64 |
| 5 | 3.76 | 4.60 | 4.47 | 2.96 | 0.00 | 4.27 | 4.28 | 4.92 | 4.16 | 3.12 | 4.76 | 5.22 |
| 6 | 2.04 | 2.83 | 2.02 | 3.15 | 4.27 | 0.00 | 2.37 | 2.77 | 3.31 | 3.86 | 3.83 | 4.26 |
| 7 | 1.58 | 2.05 | 2.17 | 2.56 | 4.28 | 2.37 | 0.00 | 2.58 | 3.36 | 3.77 | 3.89 | 5.13 |
| 8 | 2.43 | 2.31 | 2.98 | 3.60 | 4.92 | 2.77 | 2.58 | 0.00 | 3.06 | 4.62 | 3.74 | 5.24 |
| 9 | 3.14 | 3.56 | 3.71 | 3.33 | 4.16 | 3.31 | 3.36 | 3.06 | 0.00 | 4.20 | 1.83 | 5.28 |
| 10 | 3.75 | 3.84 | 3.63 | 2.57 | 3.12 | 3.86 | 3.77 | 4.62 | 4.20 | 0.00 | 4.02 | 4.89 |
| 11 | 3.91 | 4.02 | 4.10 | 3.94 | 4.76 | 3.83 | 3.89 | 3.74 | 1.83 | 4.02 | 0.00 | 5.19 |
| 12 | 4.83 | 5.19 | 5.14 | 5.64 | 5.22 | 4.26 | 5.13 | 5.24 | 5.28 | 4.89 | 5.19 | 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 | 0.84 | 0.78 | 0.70 | 0.64 | 0.79 | 0.91 | 0.83 | 0.76 | 0.63 | 0.77 | 0.77 |
| 2 | 0.84 | 1.00 | 0.77 | 0.70 | 0.66 | 0.76 | 0.85 | 0.83 | 0.76 | 0.62 | 0.73 | 0.71 |
| 3 | 0.78 | 0.77 | 1.00 | 0.69 | 0.69 | 0.87 | 0.75 | 0.75 | 0.68 | 0.66 | 0.70 | 0.68 |
| 4 | 0.70 | 0.70 | 0.69 | 1.00 | 0.85 | 0.69 | 0.69 | 0.68 | 0.75 | 0.85 | 0.74 | 0.57 |
| 5 | 0.64 | 0.66 | 0.69 | 0.85 | 1.00 | 0.62 | 0.63 | 0.60 | 0.70 | 0.77 | 0.69 | 0.58 |
| 6 | 0.79 | 0.76 | 0.87 | 0.69 | 0.62 | 1.00 | 0.78 | 0.78 | 0.69 | 0.63 | 0.71 | 0.74 |
| 7 | 0.91 | 0.85 | 0.75 | 0.69 | 0.63 | 0.78 | 1.00 | 0.78 | 0.74 | 0.62 | 0.75 | 0.76 |
| 8 | 0.83 | 0.83 | 0.75 | 0.68 | 0.60 | 0.78 | 0.78 | 1.00 | 0.72 | 0.61 | 0.71 | 0.74 |
| 9 | 0.76 | 0.76 | 0.68 | 0.75 | 0.70 | 0.69 | 0.74 | 0.72 | 1.00 | 0.69 | 0.94 | 0.67 |
| 10 | 0.63 | 0.62 | 0.66 | 0.85 | 0.77 | 0.63 | 0.62 | 0.61 | 0.69 | 1.00 | 0.70 | 0.56 |
| 11 | 0.77 | 0.73 | 0.70 | 0.74 | 0.69 | 0.71 | 0.75 | 0.71 | 0.94 | 0.70 | 1.00 | 0.66 |
| 12 | 0.77 | 0.71 | 0.68 | 0.57 | 0.58 | 0.74 | 0.76 | 0.74 | 0.67 | 0.56 | 0.66 | 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