| 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 | 6.20 | 5.31 | 5.82 | 3.94 | 6.63 | 3.68 | 5.27 | 4.61 | 4.31 | 5.07 | 4.28 | 3.12 |
| GDT_TS | 0.65 | 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 | 1.68 | 1.48 | 3.91 | 1.19 | 4.35 | 1.86 | 3.03 | 3.29 | 2.42 | 4.12 | 5.45 |
| 2 | 1.68 | 0.00 | 1.11 | 2.93 | 1.96 | 3.39 | 0.67 | 2.32 | 2.36 | 1.47 | 3.22 | 4.27 |
| 3 | 1.48 | 1.11 | 0.00 | 3.34 | 1.90 | 4.10 | 1.43 | 2.74 | 3.14 | 2.19 | 3.65 | 4.85 |
| 4 | 3.91 | 2.93 | 3.34 | 0.00 | 4.20 | 1.86 | 2.71 | 1.57 | 2.20 | 3.09 | 1.54 | 2.96 |
| 5 | 1.19 | 1.96 | 1.90 | 4.20 | 0.00 | 4.63 | 2.16 | 3.23 | 3.60 | 2.78 | 4.31 | 5.80 |
| 6 | 4.35 | 3.39 | 4.10 | 1.86 | 4.63 | 0.00 | 3.07 | 2.48 | 1.77 | 3.02 | 2.24 | 2.46 |
| 7 | 1.86 | 0.67 | 1.43 | 2.71 | 2.16 | 3.07 | 0.00 | 2.15 | 2.03 | 1.32 | 3.03 | 4.12 |
| 8 | 3.03 | 2.32 | 2.74 | 1.57 | 3.23 | 2.48 | 2.15 | 0.00 | 2.20 | 2.84 | 1.77 | 3.89 |
| 9 | 3.29 | 2.36 | 3.14 | 2.20 | 3.60 | 1.77 | 2.03 | 2.20 | 0.00 | 1.98 | 2.67 | 3.16 |
| 10 | 2.42 | 1.47 | 2.19 | 3.09 | 2.78 | 3.02 | 1.32 | 2.84 | 1.98 | 0.00 | 3.46 | 3.76 |
| 11 | 4.12 | 3.22 | 3.65 | 1.54 | 4.31 | 2.24 | 3.03 | 1.77 | 2.67 | 3.46 | 0.00 | 3.42 |
| 12 | 5.45 | 4.27 | 4.85 | 2.96 | 5.80 | 2.46 | 4.12 | 3.89 | 3.16 | 3.76 | 3.42 | 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 | 0.85 | 0.88 | 0.68 | 0.90 | 0.68 | 0.84 | 0.65 | 0.76 | 0.75 | 0.64 | 0.69 |
| 2 | 0.85 | 1.00 | 0.91 | 0.76 | 0.86 | 0.79 | 0.98 | 0.81 | 0.83 | 0.85 | 0.74 | 0.77 |
| 3 | 0.88 | 0.91 | 1.00 | 0.76 | 0.84 | 0.73 | 0.89 | 0.79 | 0.79 | 0.77 | 0.76 | 0.74 |
| 4 | 0.68 | 0.76 | 0.76 | 1.00 | 0.71 | 0.79 | 0.74 | 0.86 | 0.75 | 0.67 | 0.90 | 0.70 |
| 5 | 0.90 | 0.86 | 0.84 | 0.71 | 1.00 | 0.74 | 0.84 | 0.71 | 0.79 | 0.74 | 0.66 | 0.68 |
| 6 | 0.68 | 0.79 | 0.73 | 0.79 | 0.74 | 1.00 | 0.82 | 0.80 | 0.84 | 0.80 | 0.79 | 0.75 |
| 7 | 0.84 | 0.98 | 0.89 | 0.74 | 0.84 | 0.82 | 1.00 | 0.82 | 0.86 | 0.89 | 0.74 | 0.76 |
| 8 | 0.65 | 0.81 | 0.79 | 0.86 | 0.71 | 0.80 | 0.82 | 1.00 | 0.77 | 0.74 | 0.88 | 0.70 |
| 9 | 0.76 | 0.83 | 0.79 | 0.75 | 0.79 | 0.84 | 0.86 | 0.77 | 1.00 | 0.81 | 0.73 | 0.75 |
| 10 | 0.75 | 0.85 | 0.77 | 0.67 | 0.74 | 0.80 | 0.89 | 0.74 | 0.81 | 1.00 | 0.71 | 0.72 |
| 11 | 0.64 | 0.74 | 0.76 | 0.90 | 0.66 | 0.79 | 0.74 | 0.88 | 0.73 | 0.71 | 1.00 | 0.71 |
| 12 | 0.69 | 0.77 | 0.74 | 0.70 | 0.68 | 0.75 | 0.76 | 0.70 | 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