| Project Name | 144mutation |
| Project Name | 144mutation |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 268.9 | 227.5 | 192.2 | 164.5 | 147.5 | 129.2 | 112.2 | 109.2 | 100.9 | 90.7 | 42.0 | 35.0 |
| Cluster size | 348 | 301 | 239 | 200 | 145 | 154 | 114 | 149 | 115 | 111 | 70 | 54 |
| Average cluster RMSD | 1.3 | 1.3 | 1.2 | 1.2 | 1.0 | 1.2 | 1.0 | 1.4 | 1.1 | 1.2 | 1.7 | 1.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.91 | 4.18 | 3.13 | 4.08 | 5.20 | 4.19 | 3.86 | 4.00 | 4.19 | 4.21 | 3.86 | 4.31 |
| GDT_TS | 0.58 | 0.54 | 0.61 | 0.60 | 0.49 | 0.54 | 0.56 | 0.52 | 0.51 | 0.49 | 0.58 | 0.55 |
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 | 1.10 | 2.10 | 1.95 | 2.74 | 2.43 | 3.96 | 1.40 | 3.76 | 2.11 | 2.07 | 1.74 |
| 2 | 1.10 | 0.00 | 2.44 | 2.22 | 2.33 | 2.22 | 3.83 | 1.66 | 3.46 | 1.56 | 2.18 | 1.16 |
| 3 | 2.10 | 2.44 | 0.00 | 1.47 | 3.36 | 3.64 | 4.44 | 1.77 | 4.04 | 3.16 | 1.33 | 2.78 |
| 4 | 1.95 | 2.22 | 1.47 | 0.00 | 2.50 | 3.65 | 4.97 | 1.40 | 4.36 | 3.28 | 0.96 | 2.56 |
| 5 | 2.74 | 2.33 | 3.36 | 2.50 | 0.00 | 3.45 | 4.96 | 2.58 | 4.17 | 3.01 | 2.41 | 2.24 |
| 6 | 2.43 | 2.22 | 3.64 | 3.65 | 3.45 | 0.00 | 2.67 | 3.13 | 2.55 | 1.90 | 3.62 | 2.23 |
| 7 | 3.96 | 3.83 | 4.44 | 4.97 | 4.96 | 2.67 | 0.00 | 4.71 | 2.01 | 2.70 | 4.72 | 3.81 |
| 8 | 1.40 | 1.66 | 1.77 | 1.40 | 2.58 | 3.13 | 4.71 | 0.00 | 4.32 | 2.93 | 1.53 | 2.04 |
| 9 | 3.76 | 3.46 | 4.04 | 4.36 | 4.17 | 2.55 | 2.01 | 4.32 | 0.00 | 2.55 | 4.13 | 3.24 |
| 10 | 2.11 | 1.56 | 3.16 | 3.28 | 3.01 | 1.90 | 2.70 | 2.93 | 2.55 | 0.00 | 3.11 | 1.86 |
| 11 | 2.07 | 2.18 | 1.33 | 0.96 | 2.41 | 3.62 | 4.72 | 1.53 | 4.13 | 3.11 | 0.00 | 2.32 |
| 12 | 1.74 | 1.16 | 2.78 | 2.56 | 2.24 | 2.23 | 3.81 | 2.04 | 3.24 | 1.86 | 2.32 | 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 | 0.91 | 0.83 | 0.78 | 0.73 | 0.73 | 0.68 | 0.86 | 0.63 | 0.79 | 0.77 | 0.90 |
| 2 | 0.91 | 1.00 | 0.75 | 0.77 | 0.74 | 0.74 | 0.66 | 0.84 | 0.64 | 0.89 | 0.78 | 0.95 |
| 3 | 0.83 | 0.75 | 1.00 | 0.87 | 0.64 | 0.64 | 0.63 | 0.81 | 0.63 | 0.69 | 0.89 | 0.73 |
| 4 | 0.78 | 0.77 | 0.87 | 1.00 | 0.69 | 0.65 | 0.65 | 0.84 | 0.61 | 0.69 | 0.96 | 0.74 |
| 5 | 0.73 | 0.74 | 0.64 | 0.69 | 1.00 | 0.68 | 0.60 | 0.73 | 0.58 | 0.70 | 0.69 | 0.76 |
| 6 | 0.73 | 0.74 | 0.64 | 0.65 | 0.68 | 1.00 | 0.77 | 0.69 | 0.75 | 0.77 | 0.64 | 0.77 |
| 7 | 0.68 | 0.66 | 0.63 | 0.65 | 0.60 | 0.77 | 1.00 | 0.68 | 0.81 | 0.71 | 0.64 | 0.69 |
| 8 | 0.86 | 0.84 | 0.81 | 0.84 | 0.73 | 0.69 | 0.68 | 1.00 | 0.58 | 0.76 | 0.84 | 0.79 |
| 9 | 0.63 | 0.64 | 0.63 | 0.61 | 0.58 | 0.75 | 0.81 | 0.58 | 1.00 | 0.69 | 0.59 | 0.69 |
| 10 | 0.79 | 0.89 | 0.69 | 0.69 | 0.70 | 0.77 | 0.71 | 0.76 | 0.69 | 1.00 | 0.70 | 0.84 |
| 11 | 0.77 | 0.78 | 0.89 | 0.96 | 0.69 | 0.64 | 0.64 | 0.84 | 0.59 | 0.70 | 1.00 | 0.77 |
| 12 | 0.90 | 0.95 | 0.73 | 0.74 | 0.76 | 0.77 | 0.69 | 0.79 | 0.69 | 0.84 | 0.77 | 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