| Project Name | mutation154 |
| Project Name | mutation154 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 230.4 | 228.2 | 183.5 | 153.9 | 152.6 | 146.3 | 145.7 | 144.0 | 108.0 | 87.9 | 70.8 | 52.2 |
| Cluster size | 267 | 289 | 252 | 163 | 207 | 192 | 168 | 118 | 123 | 72 | 60 | 89 |
| Average cluster RMSD | 1.2 | 1.3 | 1.4 | 1.1 | 1.4 | 1.3 | 1.2 | 0.8 | 1.1 | 0.8 | 0.8 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.78 | 3.62 | 3.28 | 3.62 | 2.89 | 3.60 | 3.43 | 3.26 | 3.36 | 4.30 | 3.40 | 3.55 |
| GDT_TS | 0.70 | 0.58 | 0.63 | 0.59 | 0.70 | 0.62 | 0.63 | 0.65 | 0.63 | 0.58 | 0.62 | 0.64 |
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 | 2.80 | 2.82 | 2.74 | 1.98 | 2.64 | 3.15 | 3.12 | 1.38 | 3.78 | 2.74 | 2.78 |
| 2 | 2.80 | 0.00 | 1.37 | 3.84 | 2.20 | 1.36 | 1.26 | 1.68 | 3.41 | 5.27 | 2.10 | 1.38 |
| 3 | 2.82 | 1.37 | 0.00 | 4.01 | 2.12 | 1.38 | 1.33 | 1.57 | 3.39 | 5.36 | 1.82 | 1.69 |
| 4 | 2.74 | 3.84 | 4.01 | 0.00 | 3.23 | 3.84 | 4.09 | 4.49 | 2.07 | 2.02 | 3.72 | 3.64 |
| 5 | 1.98 | 2.20 | 2.12 | 3.23 | 0.00 | 1.95 | 2.37 | 2.27 | 2.33 | 4.00 | 2.53 | 1.51 |
| 6 | 2.64 | 1.36 | 1.38 | 3.84 | 1.95 | 0.00 | 1.89 | 2.10 | 3.15 | 5.03 | 2.22 | 1.56 |
| 7 | 3.15 | 1.26 | 1.33 | 4.09 | 2.37 | 1.89 | 0.00 | 1.05 | 3.76 | 5.57 | 1.96 | 1.58 |
| 8 | 3.12 | 1.68 | 1.57 | 4.49 | 2.27 | 2.10 | 1.05 | 0.00 | 3.91 | 5.78 | 2.32 | 1.70 |
| 9 | 1.38 | 3.41 | 3.39 | 2.07 | 2.33 | 3.15 | 3.76 | 3.91 | 0.00 | 2.96 | 3.15 | 3.14 |
| 10 | 3.78 | 5.27 | 5.36 | 2.02 | 4.00 | 5.03 | 5.57 | 5.78 | 2.96 | 0.00 | 5.17 | 4.78 |
| 11 | 2.74 | 2.10 | 1.82 | 3.72 | 2.53 | 2.22 | 1.96 | 2.32 | 3.15 | 5.17 | 0.00 | 2.35 |
| 12 | 2.78 | 1.38 | 1.69 | 3.64 | 1.51 | 1.56 | 1.58 | 1.70 | 3.14 | 4.78 | 2.35 | 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 | 0.69 | 0.71 | 0.72 | 0.80 | 0.73 | 0.69 | 0.66 | 0.84 | 0.63 | 0.74 | 0.66 |
| 2 | 0.69 | 1.00 | 0.89 | 0.68 | 0.82 | 0.87 | 0.87 | 0.81 | 0.67 | 0.62 | 0.89 | 0.86 |
| 3 | 0.71 | 0.89 | 1.00 | 0.70 | 0.76 | 0.85 | 0.88 | 0.83 | 0.68 | 0.61 | 0.91 | 0.84 |
| 4 | 0.72 | 0.68 | 0.70 | 1.00 | 0.68 | 0.66 | 0.68 | 0.62 | 0.77 | 0.80 | 0.67 | 0.67 |
| 5 | 0.80 | 0.82 | 0.76 | 0.68 | 1.00 | 0.79 | 0.76 | 0.76 | 0.74 | 0.67 | 0.82 | 0.85 |
| 6 | 0.73 | 0.87 | 0.85 | 0.66 | 0.79 | 1.00 | 0.82 | 0.82 | 0.68 | 0.60 | 0.84 | 0.81 |
| 7 | 0.69 | 0.87 | 0.88 | 0.68 | 0.76 | 0.82 | 1.00 | 0.91 | 0.65 | 0.62 | 0.87 | 0.83 |
| 8 | 0.66 | 0.81 | 0.83 | 0.62 | 0.76 | 0.82 | 0.91 | 1.00 | 0.60 | 0.57 | 0.82 | 0.79 |
| 9 | 0.84 | 0.67 | 0.68 | 0.77 | 0.74 | 0.68 | 0.65 | 0.60 | 1.00 | 0.71 | 0.71 | 0.66 |
| 10 | 0.63 | 0.62 | 0.61 | 0.80 | 0.67 | 0.60 | 0.62 | 0.57 | 0.71 | 1.00 | 0.61 | 0.62 |
| 11 | 0.74 | 0.89 | 0.91 | 0.67 | 0.82 | 0.84 | 0.87 | 0.82 | 0.71 | 0.61 | 1.00 | 0.86 |
| 12 | 0.66 | 0.86 | 0.84 | 0.67 | 0.85 | 0.81 | 0.83 | 0.79 | 0.66 | 0.62 | 0.86 | 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