| Project Name | mutation2 |
| Project Name | mutation2 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 197.5 | 180.7 | 171.6 | 156.8 | 152.7 | 137.3 | 135.6 | 120.4 | 104.4 | 96.8 | 69.7 | 49.5 |
| Cluster size | 231 | 232 | 246 | 199 | 219 | 186 | 137 | 181 | 120 | 87 | 114 | 48 |
| Average cluster RMSD | 1.2 | 1.3 | 1.4 | 1.3 | 1.4 | 1.4 | 1.0 | 1.5 | 1.1 | 0.9 | 1.6 | 1.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.35 | 5.56 | 4.55 | 4.32 | 3.92 | 3.20 | 2.95 | 5.18 | 5.70 | 6.32 | 4.48 | 5.32 |
| GDT_TS | 0.59 | 0.53 | 0.58 | 0.60 | 0.61 | 0.65 | 0.66 | 0.55 | 0.52 | 0.52 | 0.58 | 0.56 |
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 | 2.10 | 3.08 | 3.34 | 2.40 | 2.80 | 4.10 | 2.46 | 2.57 | 3.63 | 3.55 | 2.74 |
| 2 | 2.10 | 0.00 | 4.26 | 4.59 | 3.28 | 3.83 | 5.56 | 3.52 | 3.16 | 3.38 | 4.71 | 2.51 |
| 3 | 3.08 | 4.26 | 0.00 | 1.67 | 3.12 | 3.18 | 3.64 | 1.68 | 2.56 | 3.19 | 1.33 | 3.24 |
| 4 | 3.34 | 4.59 | 1.67 | 0.00 | 3.16 | 2.91 | 3.24 | 2.07 | 3.05 | 4.15 | 1.17 | 3.99 |
| 5 | 2.40 | 3.28 | 3.12 | 3.16 | 0.00 | 3.48 | 4.47 | 3.06 | 3.20 | 3.62 | 3.54 | 3.56 |
| 6 | 2.80 | 3.83 | 3.18 | 2.91 | 3.48 | 0.00 | 2.22 | 3.39 | 3.99 | 5.09 | 2.92 | 3.63 |
| 7 | 4.10 | 5.56 | 3.64 | 3.24 | 4.47 | 2.22 | 0.00 | 4.14 | 4.74 | 6.03 | 3.14 | 5.02 |
| 8 | 2.46 | 3.52 | 1.68 | 2.07 | 3.06 | 3.39 | 4.14 | 0.00 | 1.46 | 3.01 | 2.14 | 2.78 |
| 9 | 2.57 | 3.16 | 2.56 | 3.05 | 3.20 | 3.99 | 4.74 | 1.46 | 0.00 | 2.42 | 3.00 | 2.34 |
| 10 | 3.63 | 3.38 | 3.19 | 4.15 | 3.62 | 5.09 | 6.03 | 3.01 | 2.42 | 0.00 | 3.90 | 2.64 |
| 11 | 3.55 | 4.71 | 1.33 | 1.17 | 3.54 | 2.92 | 3.14 | 2.14 | 3.00 | 3.90 | 0.00 | 3.72 |
| 12 | 2.74 | 2.51 | 3.24 | 3.99 | 3.56 | 3.63 | 5.02 | 2.78 | 2.34 | 2.64 | 3.72 | 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 | 0.72 | 0.65 | 0.73 | 0.68 | 0.57 | 0.77 | 0.78 | 0.71 | 0.62 | 0.72 |
| 2 | 0.81 | 1.00 | 0.66 | 0.65 | 0.67 | 0.63 | 0.59 | 0.74 | 0.75 | 0.72 | 0.61 | 0.73 |
| 3 | 0.72 | 0.66 | 1.00 | 0.83 | 0.66 | 0.76 | 0.66 | 0.80 | 0.71 | 0.72 | 0.87 | 0.68 |
| 4 | 0.65 | 0.65 | 0.83 | 1.00 | 0.67 | 0.78 | 0.71 | 0.74 | 0.67 | 0.70 | 0.92 | 0.66 |
| 5 | 0.73 | 0.67 | 0.66 | 0.67 | 1.00 | 0.62 | 0.57 | 0.65 | 0.61 | 0.67 | 0.58 | 0.61 |
| 6 | 0.68 | 0.63 | 0.76 | 0.78 | 0.62 | 1.00 | 0.83 | 0.68 | 0.65 | 0.60 | 0.83 | 0.67 |
| 7 | 0.57 | 0.59 | 0.66 | 0.71 | 0.57 | 0.83 | 1.00 | 0.62 | 0.60 | 0.58 | 0.70 | 0.62 |
| 8 | 0.77 | 0.74 | 0.80 | 0.74 | 0.65 | 0.68 | 0.62 | 1.00 | 0.87 | 0.74 | 0.73 | 0.74 |
| 9 | 0.78 | 0.75 | 0.71 | 0.67 | 0.61 | 0.65 | 0.60 | 0.87 | 1.00 | 0.74 | 0.63 | 0.76 |
| 10 | 0.71 | 0.72 | 0.72 | 0.70 | 0.67 | 0.60 | 0.58 | 0.74 | 0.74 | 1.00 | 0.65 | 0.71 |
| 11 | 0.62 | 0.61 | 0.87 | 0.92 | 0.58 | 0.83 | 0.70 | 0.73 | 0.63 | 0.65 | 1.00 | 0.64 |
| 12 | 0.72 | 0.73 | 0.68 | 0.66 | 0.61 | 0.67 | 0.62 | 0.74 | 0.76 | 0.71 | 0.64 | 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