| Project Name | mutation5 |
| Project Name | mutation5 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 180.9 | 157.6 | 148.6 | 141.0 | 125.6 | 122.6 | 120.9 | 108.5 | 104.7 | 101.2 | 81.2 | 19.5 |
| Cluster size | 272 | 253 | 227 | 233 | 128 | 131 | 137 | 127 | 113 | 142 | 187 | 50 |
| Average cluster RMSD | 1.5 | 1.6 | 1.5 | 1.7 | 1.0 | 1.1 | 1.1 | 1.2 | 1.1 | 1.4 | 2.3 | 2.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.30 | 4.89 | 4.46 | 4.68 | 3.96 | 5.67 | 5.67 | 6.12 | 5.84 | 6.33 | 3.79 | 4.09 |
| GDT_TS | 0.43 | 0.52 | 0.55 | 0.51 | 0.54 | 0.57 | 0.51 | 0.45 | 0.49 | 0.51 | 0.50 | 0.51 |
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 | 2.96 | 2.08 | 2.85 | 1.81 | 4.95 | 4.70 | 4.26 | 4.59 | 5.06 | 1.67 | 1.98 |
| 2 | 2.96 | 0.00 | 1.98 | 0.87 | 2.65 | 3.04 | 3.18 | 2.05 | 2.22 | 3.19 | 2.47 | 2.45 |
| 3 | 2.08 | 1.98 | 0.00 | 1.85 | 2.32 | 4.04 | 4.33 | 3.53 | 3.76 | 4.59 | 2.03 | 2.37 |
| 4 | 2.85 | 0.87 | 1.85 | 0.00 | 2.78 | 3.30 | 3.61 | 2.51 | 2.51 | 3.62 | 2.56 | 2.58 |
| 5 | 1.81 | 2.65 | 2.32 | 2.78 | 0.00 | 4.19 | 3.98 | 3.99 | 4.01 | 4.37 | 1.27 | 1.40 |
| 6 | 4.95 | 3.04 | 4.04 | 3.30 | 4.19 | 0.00 | 1.94 | 2.81 | 2.56 | 2.00 | 4.02 | 4.27 |
| 7 | 4.70 | 3.18 | 4.33 | 3.61 | 3.98 | 1.94 | 0.00 | 2.68 | 2.90 | 1.29 | 3.79 | 3.95 |
| 8 | 4.26 | 2.05 | 3.53 | 2.51 | 3.99 | 2.81 | 2.68 | 0.00 | 1.81 | 2.22 | 3.77 | 3.75 |
| 9 | 4.59 | 2.22 | 3.76 | 2.51 | 4.01 | 2.56 | 2.90 | 1.81 | 0.00 | 2.40 | 4.11 | 4.10 |
| 10 | 5.06 | 3.19 | 4.59 | 3.62 | 4.37 | 2.00 | 1.29 | 2.22 | 2.40 | 0.00 | 4.28 | 4.31 |
| 11 | 1.67 | 2.47 | 2.03 | 2.56 | 1.27 | 4.02 | 3.79 | 3.77 | 4.11 | 4.28 | 0.00 | 1.17 |
| 12 | 1.98 | 2.45 | 2.37 | 2.58 | 1.40 | 4.27 | 3.95 | 3.75 | 4.10 | 4.31 | 1.17 | 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 | 0.72 | 0.81 | 0.53 | 0.60 | 0.62 | 0.50 | 0.57 | 0.81 | 0.82 |
| 2 | 0.70 | 1.00 | 0.82 | 0.98 | 0.72 | 0.61 | 0.66 | 0.79 | 0.74 | 0.70 | 0.70 | 0.71 |
| 3 | 0.79 | 0.82 | 1.00 | 0.80 | 0.77 | 0.55 | 0.61 | 0.68 | 0.54 | 0.61 | 0.77 | 0.73 |
| 4 | 0.72 | 0.98 | 0.80 | 1.00 | 0.71 | 0.59 | 0.66 | 0.77 | 0.71 | 0.71 | 0.68 | 0.68 |
| 5 | 0.81 | 0.72 | 0.77 | 0.71 | 1.00 | 0.56 | 0.64 | 0.61 | 0.57 | 0.57 | 0.89 | 0.85 |
| 6 | 0.53 | 0.61 | 0.55 | 0.59 | 0.56 | 1.00 | 0.75 | 0.60 | 0.68 | 0.77 | 0.57 | 0.57 |
| 7 | 0.60 | 0.66 | 0.61 | 0.66 | 0.64 | 0.75 | 1.00 | 0.70 | 0.69 | 0.85 | 0.60 | 0.56 |
| 8 | 0.62 | 0.79 | 0.68 | 0.77 | 0.61 | 0.60 | 0.70 | 1.00 | 0.79 | 0.75 | 0.59 | 0.57 |
| 9 | 0.50 | 0.74 | 0.54 | 0.71 | 0.57 | 0.68 | 0.69 | 0.79 | 1.00 | 0.76 | 0.54 | 0.53 |
| 10 | 0.57 | 0.70 | 0.61 | 0.71 | 0.57 | 0.77 | 0.85 | 0.75 | 0.76 | 1.00 | 0.57 | 0.54 |
| 11 | 0.81 | 0.70 | 0.77 | 0.68 | 0.89 | 0.57 | 0.60 | 0.59 | 0.54 | 0.57 | 1.00 | 0.88 |
| 12 | 0.82 | 0.71 | 0.73 | 0.68 | 0.85 | 0.57 | 0.56 | 0.57 | 0.53 | 0.54 | 0.88 | 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