| Project Name | MUT_5 |
| Project Name | MUT_5 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 100.9 | 98.4 | 86.1 | 79.3 | 72.1 | 48.9 | 45.7 | 38.7 | 38.5 | 36.7 | 35.5 | 30.3 |
| Cluster size | 239 | 268 | 216 | 199 | 233 | 167 | 124 | 116 | 77 | 128 | 119 | 114 |
| Average cluster RMSD | 2.4 | 2.7 | 2.5 | 2.5 | 3.2 | 3.4 | 2.7 | 3.0 | 2.0 | 3.5 | 3.4 | 3.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.81 | 4.89 | 3.65 | 3.96 | 5.32 | 4.99 | 4.65 | 4.54 | 4.45 | 5.78 | 5.84 | 5.58 |
| GDT_TS | 0.60 | 0.46 | 0.61 | 0.61 | 0.45 | 0.45 | 0.50 | 0.60 | 0.58 | 0.58 | 0.50 | 0.49 |
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 | 3.72 | 1.83 | 1.52 | 4.40 | 4.22 | 2.81 | 3.82 | 3.62 | 4.48 | 4.85 | 5.39 |
| 2 | 3.72 | 0.00 | 4.49 | 3.26 | 1.89 | 1.39 | 2.90 | 4.38 | 5.64 | 3.36 | 4.99 | 2.91 |
| 3 | 1.83 | 4.49 | 0.00 | 1.63 | 4.89 | 4.76 | 2.99 | 3.76 | 3.16 | 4.60 | 4.76 | 5.78 |
| 4 | 1.52 | 3.26 | 1.63 | 0.00 | 3.74 | 3.52 | 2.13 | 3.38 | 3.74 | 3.80 | 4.52 | 4.78 |
| 5 | 4.40 | 1.89 | 4.89 | 3.74 | 0.00 | 1.64 | 3.53 | 4.24 | 5.94 | 3.07 | 4.59 | 2.75 |
| 6 | 4.22 | 1.39 | 4.76 | 3.52 | 1.64 | 0.00 | 3.11 | 4.60 | 5.80 | 3.46 | 5.14 | 2.62 |
| 7 | 2.81 | 2.90 | 2.99 | 2.13 | 3.53 | 3.11 | 0.00 | 3.92 | 4.87 | 4.04 | 5.22 | 4.43 |
| 8 | 3.82 | 4.38 | 3.76 | 3.38 | 4.24 | 4.60 | 3.92 | 0.00 | 3.71 | 3.84 | 3.12 | 5.26 |
| 9 | 3.62 | 5.64 | 3.16 | 3.74 | 5.94 | 5.80 | 4.87 | 3.71 | 0.00 | 5.29 | 3.55 | 6.06 |
| 10 | 4.48 | 3.36 | 4.60 | 3.80 | 3.07 | 3.46 | 4.04 | 3.84 | 5.29 | 0.00 | 4.22 | 4.24 |
| 11 | 4.85 | 4.99 | 4.76 | 4.52 | 4.59 | 5.14 | 5.22 | 3.12 | 3.55 | 4.22 | 0.00 | 5.00 |
| 12 | 5.39 | 2.91 | 5.78 | 4.78 | 2.75 | 2.62 | 4.43 | 5.26 | 6.06 | 4.24 | 5.00 | 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 | 0.62 | 0.85 | 0.89 | 0.61 | 0.64 | 0.77 | 0.74 | 0.83 | 0.67 | 0.71 | 0.53 |
| 2 | 0.62 | 1.00 | 0.62 | 0.67 | 0.95 | 0.92 | 0.76 | 0.69 | 0.64 | 0.70 | 0.79 | 0.74 |
| 3 | 0.85 | 0.62 | 1.00 | 0.86 | 0.65 | 0.65 | 0.71 | 0.71 | 0.88 | 0.65 | 0.69 | 0.51 |
| 4 | 0.89 | 0.67 | 0.86 | 1.00 | 0.66 | 0.69 | 0.80 | 0.74 | 0.84 | 0.69 | 0.75 | 0.57 |
| 5 | 0.61 | 0.95 | 0.65 | 0.66 | 1.00 | 0.89 | 0.72 | 0.68 | 0.60 | 0.68 | 0.76 | 0.77 |
| 6 | 0.64 | 0.92 | 0.65 | 0.69 | 0.89 | 1.00 | 0.75 | 0.67 | 0.64 | 0.65 | 0.74 | 0.73 |
| 7 | 0.77 | 0.76 | 0.71 | 0.80 | 0.72 | 0.75 | 1.00 | 0.78 | 0.77 | 0.68 | 0.82 | 0.61 |
| 8 | 0.74 | 0.69 | 0.71 | 0.74 | 0.68 | 0.67 | 0.78 | 1.00 | 0.73 | 0.61 | 0.77 | 0.60 |
| 9 | 0.83 | 0.64 | 0.88 | 0.84 | 0.60 | 0.64 | 0.77 | 0.73 | 1.00 | 0.68 | 0.73 | 0.52 |
| 10 | 0.67 | 0.70 | 0.65 | 0.69 | 0.68 | 0.65 | 0.68 | 0.61 | 0.68 | 1.00 | 0.76 | 0.60 |
| 11 | 0.71 | 0.79 | 0.69 | 0.75 | 0.76 | 0.74 | 0.82 | 0.77 | 0.73 | 0.76 | 1.00 | 0.66 |
| 12 | 0.53 | 0.74 | 0.51 | 0.57 | 0.77 | 0.73 | 0.61 | 0.60 | 0.52 | 0.60 | 0.66 | 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