| Project Name | mutation1 |
| Project Name | mutation1 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 179.4 | 150.7 | 142.2 | 129.4 | 111.5 | 105.1 | 81.4 | 74.1 | 62.7 | 58.5 | 58.1 | 46.0 |
| Cluster size | 268 | 256 | 184 | 232 | 198 | 163 | 183 | 120 | 118 | 126 | 91 | 61 |
| Average cluster RMSD | 1.5 | 1.7 | 1.3 | 1.8 | 1.8 | 1.6 | 2.2 | 1.6 | 1.9 | 2.2 | 1.6 | 1.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.20 | 4.67 | 5.04 | 4.04 | 5.22 | 5.40 | 4.62 | 4.18 | 5.46 | 5.50 | 5.30 | 5.00 |
| GDT_TS | 0.60 | 0.63 | 0.56 | 0.62 | 0.60 | 0.54 | 0.60 | 0.62 | 0.48 | 0.54 | 0.54 | 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 | 2.65 | 2.46 | 2.14 | 3.12 | 2.47 | 3.01 | 2.39 | 2.59 | 3.34 | 2.74 | 3.94 |
| 2 | 2.65 | 0.00 | 2.55 | 2.49 | 0.94 | 2.87 | 2.08 | 3.00 | 3.13 | 3.87 | 3.13 | 3.06 |
| 3 | 2.46 | 2.55 | 0.00 | 2.92 | 2.50 | 1.58 | 2.95 | 1.84 | 2.50 | 3.30 | 2.87 | 2.86 |
| 4 | 2.14 | 2.49 | 2.92 | 0.00 | 3.11 | 3.04 | 3.21 | 3.35 | 2.82 | 4.18 | 2.69 | 3.19 |
| 5 | 3.12 | 0.94 | 2.50 | 3.11 | 0.00 | 2.78 | 2.22 | 3.17 | 3.30 | 3.82 | 3.36 | 3.05 |
| 6 | 2.47 | 2.87 | 1.58 | 3.04 | 2.78 | 0.00 | 3.17 | 2.72 | 2.12 | 3.49 | 2.59 | 3.03 |
| 7 | 3.01 | 2.08 | 2.95 | 3.21 | 2.22 | 3.17 | 0.00 | 3.01 | 3.48 | 3.04 | 3.46 | 2.92 |
| 8 | 2.39 | 3.00 | 1.84 | 3.35 | 3.17 | 2.72 | 3.01 | 0.00 | 3.44 | 3.17 | 3.57 | 3.70 |
| 9 | 2.59 | 3.13 | 2.50 | 2.82 | 3.30 | 2.12 | 3.48 | 3.44 | 0.00 | 3.41 | 1.14 | 2.95 |
| 10 | 3.34 | 3.87 | 3.30 | 4.18 | 3.82 | 3.49 | 3.04 | 3.17 | 3.41 | 0.00 | 3.39 | 3.63 |
| 11 | 2.74 | 3.13 | 2.87 | 2.69 | 3.36 | 2.59 | 3.46 | 3.57 | 1.14 | 3.39 | 0.00 | 2.87 |
| 12 | 3.94 | 3.06 | 2.86 | 3.19 | 3.05 | 3.03 | 2.92 | 3.70 | 2.95 | 3.63 | 2.87 | 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 | 0.71 | 0.76 | 0.82 | 0.66 | 0.72 | 0.66 | 0.77 | 0.78 | 0.68 | 0.81 | 0.56 |
| 2 | 0.71 | 1.00 | 0.75 | 0.77 | 0.94 | 0.64 | 0.81 | 0.72 | 0.66 | 0.65 | 0.71 | 0.69 |
| 3 | 0.76 | 0.75 | 1.00 | 0.75 | 0.74 | 0.82 | 0.67 | 0.78 | 0.80 | 0.67 | 0.83 | 0.70 |
| 4 | 0.82 | 0.77 | 0.75 | 1.00 | 0.69 | 0.72 | 0.67 | 0.71 | 0.72 | 0.67 | 0.78 | 0.62 |
| 5 | 0.66 | 0.94 | 0.74 | 0.69 | 1.00 | 0.68 | 0.80 | 0.72 | 0.69 | 0.64 | 0.70 | 0.69 |
| 6 | 0.72 | 0.64 | 0.82 | 0.72 | 0.68 | 1.00 | 0.65 | 0.70 | 0.90 | 0.69 | 0.88 | 0.69 |
| 7 | 0.66 | 0.81 | 0.67 | 0.67 | 0.80 | 0.65 | 1.00 | 0.72 | 0.70 | 0.69 | 0.71 | 0.70 |
| 8 | 0.77 | 0.72 | 0.78 | 0.71 | 0.72 | 0.70 | 0.72 | 1.00 | 0.74 | 0.65 | 0.76 | 0.63 |
| 9 | 0.78 | 0.66 | 0.80 | 0.72 | 0.69 | 0.90 | 0.70 | 0.74 | 1.00 | 0.67 | 0.96 | 0.67 |
| 10 | 0.68 | 0.65 | 0.67 | 0.67 | 0.64 | 0.69 | 0.69 | 0.65 | 0.67 | 1.00 | 0.68 | 0.67 |
| 11 | 0.81 | 0.71 | 0.83 | 0.78 | 0.70 | 0.88 | 0.71 | 0.76 | 0.96 | 0.68 | 1.00 | 0.66 |
| 12 | 0.56 | 0.69 | 0.70 | 0.62 | 0.69 | 0.69 | 0.70 | 0.63 | 0.67 | 0.67 | 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