| Project Name | 127LVmut |
| Project Name | 127LVmut |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 196.8 | 196.5 | 190.9 | 169.2 | 164.3 | 152.1 | 141.9 | 129.8 | 100.8 | 82.2 | 80.5 | 46.4 |
| Cluster size | 210 | 242 | 206 | 172 | 249 | 180 | 178 | 167 | 124 | 70 | 135 | 67 |
| Average cluster RMSD | 1.1 | 1.2 | 1.1 | 1.0 | 1.5 | 1.2 | 1.3 | 1.3 | 1.2 | 0.9 | 1.7 | 1.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.14 | 3.50 | 3.68 | 4.85 | 4.24 | 5.10 | 4.80 | 4.35 | 4.57 | 3.95 | 3.64 | 5.93 |
| GDT_TS | 0.53 | 0.65 | 0.65 | 0.57 | 0.59 | 0.58 | 0.57 | 0.62 | 0.58 | 0.70 | 0.63 | 0.56 |
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 | 3.18 | 2.86 | 2.41 | 2.89 | 1.84 | 2.60 | 2.53 | 2.05 | 3.12 | 3.06 | 1.42 |
| 2 | 3.18 | 0.00 | 1.30 | 2.45 | 1.03 | 2.62 | 2.14 | 1.56 | 1.63 | 2.44 | 0.50 | 3.24 |
| 3 | 2.86 | 1.30 | 0.00 | 2.03 | 1.92 | 2.39 | 2.17 | 1.61 | 1.41 | 2.15 | 1.40 | 2.86 |
| 4 | 2.41 | 2.45 | 2.03 | 0.00 | 2.44 | 2.44 | 1.43 | 1.35 | 2.26 | 2.53 | 2.37 | 2.62 |
| 5 | 2.89 | 1.03 | 1.92 | 2.44 | 0.00 | 2.61 | 1.74 | 1.49 | 1.81 | 2.74 | 0.91 | 3.09 |
| 6 | 1.84 | 2.62 | 2.39 | 2.44 | 2.61 | 0.00 | 2.83 | 2.41 | 1.75 | 1.85 | 2.47 | 1.65 |
| 7 | 2.60 | 2.14 | 2.17 | 1.43 | 1.74 | 2.83 | 0.00 | 1.22 | 2.37 | 2.87 | 2.02 | 2.94 |
| 8 | 2.53 | 1.56 | 1.61 | 1.35 | 1.49 | 2.41 | 1.22 | 0.00 | 1.87 | 2.46 | 1.42 | 2.79 |
| 9 | 2.05 | 1.63 | 1.41 | 2.26 | 1.81 | 1.75 | 2.37 | 1.87 | 0.00 | 2.29 | 1.60 | 2.16 |
| 10 | 3.12 | 2.44 | 2.15 | 2.53 | 2.74 | 1.85 | 2.87 | 2.46 | 2.29 | 0.00 | 2.29 | 2.95 |
| 11 | 3.06 | 0.50 | 1.40 | 2.37 | 0.91 | 2.47 | 2.02 | 1.42 | 1.60 | 2.29 | 0.00 | 3.12 |
| 12 | 1.42 | 3.24 | 2.86 | 2.62 | 3.09 | 1.65 | 2.94 | 2.79 | 2.16 | 2.95 | 3.12 | 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 | 0.76 | 0.73 | 0.77 | 0.77 | 0.80 | 0.76 | 0.78 | 0.80 | 0.71 | 0.78 | 0.91 |
| 2 | 0.76 | 1.00 | 0.91 | 0.72 | 0.94 | 0.86 | 0.72 | 0.83 | 0.86 | 0.80 | 1.00 | 0.79 |
| 3 | 0.73 | 0.91 | 1.00 | 0.78 | 0.79 | 0.79 | 0.76 | 0.83 | 0.90 | 0.82 | 0.89 | 0.76 |
| 4 | 0.77 | 0.72 | 0.78 | 1.00 | 0.73 | 0.73 | 0.84 | 0.87 | 0.77 | 0.68 | 0.73 | 0.76 |
| 5 | 0.77 | 0.94 | 0.79 | 0.73 | 1.00 | 0.80 | 0.80 | 0.85 | 0.81 | 0.73 | 0.94 | 0.80 |
| 6 | 0.80 | 0.86 | 0.79 | 0.73 | 0.80 | 1.00 | 0.67 | 0.74 | 0.86 | 0.83 | 0.87 | 0.88 |
| 7 | 0.76 | 0.72 | 0.76 | 0.84 | 0.80 | 0.67 | 1.00 | 0.86 | 0.71 | 0.66 | 0.74 | 0.71 |
| 8 | 0.78 | 0.83 | 0.83 | 0.87 | 0.85 | 0.74 | 0.86 | 1.00 | 0.80 | 0.74 | 0.85 | 0.75 |
| 9 | 0.80 | 0.86 | 0.90 | 0.77 | 0.81 | 0.86 | 0.71 | 0.80 | 1.00 | 0.80 | 0.84 | 0.85 |
| 10 | 0.71 | 0.80 | 0.82 | 0.68 | 0.73 | 0.83 | 0.66 | 0.74 | 0.80 | 1.00 | 0.80 | 0.73 |
| 11 | 0.78 | 1.00 | 0.89 | 0.73 | 0.94 | 0.87 | 0.74 | 0.85 | 0.84 | 0.80 | 1.00 | 0.80 |
| 12 | 0.91 | 0.79 | 0.76 | 0.76 | 0.80 | 0.88 | 0.71 | 0.75 | 0.85 | 0.73 | 0.80 | 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