| Project Name | 129DNmut |
| Project Name | 129DNmut |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 198.2 | 192.8 | 191.0 | 180.7 | 128.3 | 120.0 | 117.2 | 112.6 | 111.3 | 93.0 | 72.5 | 53.5 |
| Cluster size | 290 | 256 | 249 | 216 | 152 | 143 | 190 | 128 | 133 | 118 | 65 | 60 |
| Average cluster RMSD | 1.5 | 1.3 | 1.3 | 1.2 | 1.2 | 1.2 | 1.6 | 1.1 | 1.2 | 1.3 | 0.9 | 1.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.24 | 5.30 | 5.82 | 3.98 | 6.64 | 3.70 | 5.23 | 4.61 | 4.41 | 5.07 | 4.28 | 3.23 |
| GDT_TS | 0.66 | 0.68 | 0.67 | 0.70 | 0.68 | 0.66 | 0.63 | 0.70 | 0.62 | 0.59 | 0.68 | 0.66 |
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 | 1.72 | 1.49 | 4.01 | 1.20 | 4.40 | 1.95 | 3.07 | 3.34 | 2.47 | 4.16 | 5.62 |
| 2 | 1.72 | 0.00 | 1.11 | 2.97 | 2.02 | 3.39 | 0.72 | 2.32 | 2.36 | 1.47 | 3.22 | 4.36 |
| 3 | 1.49 | 1.11 | 0.00 | 3.38 | 1.93 | 4.10 | 1.48 | 2.72 | 3.11 | 2.20 | 3.63 | 4.95 |
| 4 | 4.01 | 2.97 | 3.38 | 0.00 | 4.27 | 1.85 | 2.68 | 1.58 | 2.24 | 3.12 | 1.51 | 3.05 |
| 5 | 1.20 | 2.02 | 1.93 | 4.27 | 0.00 | 4.65 | 2.24 | 3.27 | 3.61 | 2.81 | 4.36 | 5.93 |
| 6 | 4.40 | 3.39 | 4.10 | 1.85 | 4.65 | 0.00 | 3.01 | 2.47 | 1.82 | 3.03 | 2.23 | 2.60 |
| 7 | 1.95 | 0.72 | 1.48 | 2.68 | 2.24 | 3.01 | 0.00 | 2.09 | 1.96 | 1.31 | 2.96 | 4.17 |
| 8 | 3.07 | 2.32 | 2.72 | 1.58 | 3.27 | 2.47 | 2.09 | 0.00 | 2.21 | 2.84 | 1.77 | 3.99 |
| 9 | 3.34 | 2.36 | 3.11 | 2.24 | 3.61 | 1.82 | 1.96 | 2.21 | 0.00 | 1.96 | 2.70 | 3.31 |
| 10 | 2.47 | 1.47 | 2.20 | 3.12 | 2.81 | 3.03 | 1.31 | 2.84 | 1.96 | 0.00 | 3.46 | 3.86 |
| 11 | 4.16 | 3.22 | 3.63 | 1.51 | 4.36 | 2.23 | 2.96 | 1.77 | 2.70 | 3.46 | 0.00 | 3.50 |
| 12 | 5.62 | 4.36 | 4.95 | 3.05 | 5.93 | 2.60 | 4.17 | 3.99 | 3.31 | 3.86 | 3.50 | 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 | 0.84 | 0.88 | 0.67 | 0.89 | 0.68 | 0.83 | 0.65 | 0.75 | 0.75 | 0.64 | 0.69 |
| 2 | 0.84 | 1.00 | 0.92 | 0.76 | 0.85 | 0.78 | 0.97 | 0.81 | 0.83 | 0.84 | 0.75 | 0.76 |
| 3 | 0.88 | 0.92 | 1.00 | 0.74 | 0.84 | 0.72 | 0.88 | 0.79 | 0.78 | 0.77 | 0.76 | 0.73 |
| 4 | 0.67 | 0.76 | 0.74 | 1.00 | 0.70 | 0.79 | 0.74 | 0.86 | 0.74 | 0.68 | 0.91 | 0.69 |
| 5 | 0.89 | 0.85 | 0.84 | 0.70 | 1.00 | 0.72 | 0.82 | 0.71 | 0.80 | 0.75 | 0.66 | 0.67 |
| 6 | 0.68 | 0.78 | 0.72 | 0.79 | 0.72 | 1.00 | 0.82 | 0.79 | 0.83 | 0.80 | 0.79 | 0.74 |
| 7 | 0.83 | 0.97 | 0.88 | 0.74 | 0.82 | 0.82 | 1.00 | 0.82 | 0.86 | 0.89 | 0.75 | 0.76 |
| 8 | 0.65 | 0.81 | 0.79 | 0.86 | 0.71 | 0.79 | 0.82 | 1.00 | 0.77 | 0.74 | 0.88 | 0.69 |
| 9 | 0.75 | 0.83 | 0.78 | 0.74 | 0.80 | 0.83 | 0.86 | 0.77 | 1.00 | 0.81 | 0.72 | 0.74 |
| 10 | 0.75 | 0.84 | 0.77 | 0.68 | 0.75 | 0.80 | 0.89 | 0.74 | 0.81 | 1.00 | 0.71 | 0.72 |
| 11 | 0.64 | 0.75 | 0.76 | 0.91 | 0.66 | 0.79 | 0.75 | 0.88 | 0.72 | 0.71 | 1.00 | 0.71 |
| 12 | 0.69 | 0.76 | 0.73 | 0.69 | 0.67 | 0.74 | 0.76 | 0.69 | 0.74 | 0.72 | 0.71 | 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