| 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 | 6.21 | 5.29 | 5.81 | 3.94 | 6.62 | 3.66 | 5.25 | 4.61 | 4.28 | 5.07 | 4.24 | 3.11 |
| GDT_TS | 0.66 | 0.68 | 0.67 | 0.70 | 0.68 | 0.66 | 0.62 | 0.70 | 0.63 | 0.59 | 0.69 | 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 | 1.71 | 1.47 | 3.94 | 1.13 | 4.35 | 1.93 | 3.04 | 3.32 | 2.42 | 4.09 | 5.44 |
| 2 | 1.71 | 0.00 | 1.19 | 2.91 | 1.97 | 3.37 | 0.70 | 2.27 | 2.33 | 1.50 | 3.14 | 4.23 |
| 3 | 1.47 | 1.19 | 0.00 | 3.40 | 1.92 | 4.16 | 1.53 | 2.81 | 3.16 | 2.23 | 3.65 | 4.84 |
| 4 | 3.94 | 2.91 | 3.40 | 0.00 | 4.29 | 1.88 | 2.72 | 1.64 | 2.22 | 3.12 | 1.50 | 2.96 |
| 5 | 1.13 | 1.97 | 1.92 | 4.29 | 0.00 | 4.67 | 2.26 | 3.29 | 3.64 | 2.77 | 4.38 | 5.80 |
| 6 | 4.35 | 3.37 | 4.16 | 1.88 | 4.67 | 0.00 | 3.05 | 2.50 | 1.75 | 3.03 | 2.25 | 2.56 |
| 7 | 1.93 | 0.70 | 1.53 | 2.72 | 2.26 | 3.05 | 0.00 | 2.17 | 1.98 | 1.32 | 2.98 | 4.07 |
| 8 | 3.04 | 2.27 | 2.81 | 1.64 | 3.29 | 2.50 | 2.17 | 0.00 | 2.28 | 2.87 | 1.81 | 3.94 |
| 9 | 3.32 | 2.33 | 3.16 | 2.22 | 3.64 | 1.75 | 1.98 | 2.28 | 0.00 | 1.91 | 2.70 | 3.10 |
| 10 | 2.42 | 1.50 | 2.23 | 3.12 | 2.77 | 3.03 | 1.32 | 2.87 | 1.91 | 0.00 | 3.45 | 3.75 |
| 11 | 4.09 | 3.14 | 3.65 | 1.50 | 4.38 | 2.25 | 2.98 | 1.81 | 2.70 | 3.45 | 0.00 | 3.40 |
| 12 | 5.44 | 4.23 | 4.84 | 2.96 | 5.80 | 2.56 | 4.07 | 3.94 | 3.10 | 3.75 | 3.40 | 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 | 0.89 | 0.67 | 0.90 | 0.68 | 0.83 | 0.65 | 0.76 | 0.75 | 0.64 | 0.69 |
| 2 | 0.84 | 1.00 | 0.91 | 0.76 | 0.86 | 0.79 | 0.97 | 0.82 | 0.84 | 0.84 | 0.75 | 0.78 |
| 3 | 0.89 | 0.91 | 1.00 | 0.73 | 0.85 | 0.73 | 0.88 | 0.78 | 0.79 | 0.75 | 0.76 | 0.74 |
| 4 | 0.67 | 0.76 | 0.73 | 1.00 | 0.69 | 0.79 | 0.73 | 0.85 | 0.74 | 0.68 | 0.91 | 0.70 |
| 5 | 0.90 | 0.86 | 0.85 | 0.69 | 1.00 | 0.72 | 0.83 | 0.70 | 0.80 | 0.76 | 0.66 | 0.69 |
| 6 | 0.68 | 0.79 | 0.73 | 0.79 | 0.72 | 1.00 | 0.81 | 0.79 | 0.84 | 0.80 | 0.78 | 0.75 |
| 7 | 0.83 | 0.97 | 0.88 | 0.73 | 0.83 | 0.81 | 1.00 | 0.81 | 0.87 | 0.89 | 0.75 | 0.77 |
| 8 | 0.65 | 0.82 | 0.78 | 0.85 | 0.70 | 0.79 | 0.81 | 1.00 | 0.77 | 0.74 | 0.86 | 0.69 |
| 9 | 0.76 | 0.84 | 0.79 | 0.74 | 0.80 | 0.84 | 0.87 | 0.77 | 1.00 | 0.82 | 0.73 | 0.75 |
| 10 | 0.75 | 0.84 | 0.75 | 0.68 | 0.76 | 0.80 | 0.89 | 0.74 | 0.82 | 1.00 | 0.70 | 0.72 |
| 11 | 0.64 | 0.75 | 0.76 | 0.91 | 0.66 | 0.78 | 0.75 | 0.86 | 0.73 | 0.70 | 1.00 | 0.71 |
| 12 | 0.69 | 0.78 | 0.74 | 0.70 | 0.69 | 0.75 | 0.77 | 0.69 | 0.75 | 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