| Project Name | mutation4 |
| Project Name | mutation4 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 239.7 | 238.8 | 197.6 | 179.6 | 166.4 | 158.1 | 140.2 | 114.5 | 100.2 | 86.3 | 79.1 | 42.3 |
| Cluster size | 287 | 272 | 234 | 223 | 174 | 184 | 173 | 140 | 104 | 88 | 81 | 40 |
| Average cluster RMSD | 1.2 | 1.1 | 1.2 | 1.2 | 1.0 | 1.2 | 1.2 | 1.2 | 1.0 | 1.0 | 1.0 | 0.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.14 | 2.80 | 2.87 | 2.90 | 3.09 | 3.14 | 2.47 | 2.76 | 3.23 | 4.17 | 3.28 | 3.63 |
| GDT_TS | 0.67 | 0.71 | 0.68 | 0.69 | 0.69 | 0.68 | 0.74 | 0.71 | 0.67 | 0.68 | 0.68 | 0.65 |
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 | 2.46 | 1.72 | 0.59 | 2.30 | 0.89 | 1.55 | 1.75 | 1.15 | 2.09 | 3.32 | 3.42 |
| 2 | 2.46 | 0.00 | 1.20 | 2.22 | 2.19 | 2.79 | 1.73 | 1.19 | 3.02 | 2.33 | 1.33 | 1.57 |
| 3 | 1.72 | 1.20 | 0.00 | 1.48 | 2.04 | 2.21 | 1.42 | 0.56 | 2.49 | 1.96 | 1.88 | 2.08 |
| 4 | 0.59 | 2.22 | 1.48 | 0.00 | 2.08 | 1.09 | 1.33 | 1.53 | 1.44 | 2.11 | 3.04 | 3.16 |
| 5 | 2.30 | 2.19 | 2.04 | 2.08 | 0.00 | 2.28 | 1.33 | 1.83 | 2.65 | 2.94 | 2.61 | 2.82 |
| 6 | 0.89 | 2.79 | 2.21 | 1.09 | 2.28 | 0.00 | 1.63 | 2.15 | 0.83 | 2.34 | 3.56 | 3.64 |
| 7 | 1.55 | 1.73 | 1.42 | 1.33 | 1.33 | 1.63 | 0.00 | 1.36 | 1.98 | 2.57 | 2.38 | 2.63 |
| 8 | 1.75 | 1.19 | 0.56 | 1.53 | 1.83 | 2.15 | 1.36 | 0.00 | 2.42 | 1.97 | 1.91 | 2.07 |
| 9 | 1.15 | 3.02 | 2.49 | 1.44 | 2.65 | 0.83 | 1.98 | 2.42 | 0.00 | 2.49 | 3.89 | 3.95 |
| 10 | 2.09 | 2.33 | 1.96 | 2.11 | 2.94 | 2.34 | 2.57 | 1.97 | 2.49 | 0.00 | 2.86 | 2.70 |
| 11 | 3.32 | 1.33 | 1.88 | 3.04 | 2.61 | 3.56 | 2.38 | 1.91 | 3.89 | 2.86 | 0.00 | 1.02 |
| 12 | 3.42 | 1.57 | 2.08 | 3.16 | 2.82 | 3.64 | 2.63 | 2.07 | 3.95 | 2.70 | 1.02 | 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 | 0.72 | 0.79 | 0.99 | 0.78 | 0.94 | 0.85 | 0.80 | 0.93 | 0.83 | 0.54 | 0.56 |
| 2 | 0.72 | 1.00 | 0.89 | 0.74 | 0.79 | 0.68 | 0.82 | 0.90 | 0.68 | 0.82 | 0.87 | 0.83 |
| 3 | 0.79 | 0.89 | 1.00 | 0.83 | 0.80 | 0.75 | 0.88 | 0.99 | 0.72 | 0.86 | 0.80 | 0.80 |
| 4 | 0.99 | 0.74 | 0.83 | 1.00 | 0.82 | 0.92 | 0.90 | 0.84 | 0.90 | 0.81 | 0.65 | 0.65 |
| 5 | 0.78 | 0.79 | 0.80 | 0.82 | 1.00 | 0.74 | 0.91 | 0.84 | 0.75 | 0.76 | 0.70 | 0.69 |
| 6 | 0.94 | 0.68 | 0.75 | 0.92 | 0.74 | 1.00 | 0.79 | 0.75 | 0.96 | 0.76 | 0.52 | 0.53 |
| 7 | 0.85 | 0.82 | 0.88 | 0.90 | 0.91 | 0.79 | 1.00 | 0.88 | 0.79 | 0.77 | 0.75 | 0.73 |
| 8 | 0.80 | 0.90 | 0.99 | 0.84 | 0.84 | 0.75 | 0.88 | 1.00 | 0.74 | 0.87 | 0.80 | 0.78 |
| 9 | 0.93 | 0.68 | 0.72 | 0.90 | 0.75 | 0.96 | 0.79 | 0.74 | 1.00 | 0.78 | 0.55 | 0.54 |
| 10 | 0.83 | 0.82 | 0.86 | 0.81 | 0.76 | 0.76 | 0.77 | 0.87 | 0.78 | 1.00 | 0.71 | 0.69 |
| 11 | 0.54 | 0.87 | 0.80 | 0.65 | 0.70 | 0.52 | 0.75 | 0.80 | 0.55 | 0.71 | 1.00 | 0.92 |
| 12 | 0.56 | 0.83 | 0.80 | 0.65 | 0.69 | 0.53 | 0.73 | 0.78 | 0.54 | 0.69 | 0.92 | 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