| Project Name | mutation6 |
| Project Name | mutation6 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 180.9 | 157.6 | 148.6 | 141.0 | 125.6 | 122.6 | 120.9 | 108.5 | 104.7 | 101.2 | 81.2 | 19.5 |
| Cluster size | 272 | 253 | 227 | 233 | 128 | 131 | 137 | 127 | 113 | 142 | 187 | 50 |
| Average cluster RMSD | 1.5 | 1.6 | 1.5 | 1.7 | 1.0 | 1.1 | 1.1 | 1.2 | 1.1 | 1.4 | 2.3 | 2.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.26 | 4.89 | 4.46 | 4.64 | 3.94 | 5.66 | 5.62 | 6.12 | 5.82 | 6.37 | 3.76 | 4.09 |
| GDT_TS | 0.44 | 0.52 | 0.55 | 0.52 | 0.54 | 0.58 | 0.52 | 0.45 | 0.49 | 0.50 | 0.50 | 0.51 |
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 | 2.92 | 2.08 | 2.85 | 1.88 | 4.84 | 4.68 | 4.26 | 4.53 | 5.11 | 1.68 | 1.99 |
| 2 | 2.92 | 0.00 | 1.92 | 0.97 | 2.62 | 3.02 | 3.23 | 2.06 | 2.26 | 3.26 | 2.43 | 2.42 |
| 3 | 2.08 | 1.92 | 0.00 | 1.84 | 2.37 | 3.96 | 4.32 | 3.53 | 3.72 | 4.65 | 2.04 | 2.37 |
| 4 | 2.85 | 0.97 | 1.84 | 0.00 | 2.80 | 3.26 | 3.64 | 2.56 | 2.51 | 3.70 | 2.56 | 2.61 |
| 5 | 1.88 | 2.62 | 2.37 | 2.80 | 0.00 | 4.06 | 3.90 | 3.97 | 3.94 | 4.35 | 1.30 | 1.42 |
| 6 | 4.84 | 3.02 | 3.96 | 3.26 | 4.06 | 0.00 | 1.87 | 2.75 | 2.66 | 2.00 | 3.90 | 4.18 |
| 7 | 4.68 | 3.23 | 4.32 | 3.64 | 3.90 | 1.87 | 0.00 | 2.73 | 2.97 | 1.38 | 3.78 | 3.95 |
| 8 | 4.26 | 2.06 | 3.53 | 2.56 | 3.97 | 2.75 | 2.73 | 0.00 | 1.82 | 2.22 | 3.77 | 3.75 |
| 9 | 4.53 | 2.26 | 3.72 | 2.51 | 3.94 | 2.66 | 2.97 | 1.82 | 0.00 | 2.45 | 4.07 | 4.07 |
| 10 | 5.11 | 3.26 | 4.65 | 3.70 | 4.35 | 2.00 | 1.38 | 2.22 | 2.45 | 0.00 | 4.33 | 4.36 |
| 11 | 1.68 | 2.43 | 2.04 | 2.56 | 1.30 | 3.90 | 3.78 | 3.77 | 4.07 | 4.33 | 0.00 | 1.17 |
| 12 | 1.99 | 2.42 | 2.37 | 2.61 | 1.42 | 4.18 | 3.95 | 3.75 | 4.07 | 4.36 | 1.17 | 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 | 0.72 | 0.79 | 0.72 | 0.80 | 0.56 | 0.60 | 0.62 | 0.51 | 0.56 | 0.81 | 0.82 |
| 2 | 0.72 | 1.00 | 0.84 | 0.96 | 0.72 | 0.61 | 0.66 | 0.79 | 0.71 | 0.69 | 0.71 | 0.72 |
| 3 | 0.79 | 0.84 | 1.00 | 0.80 | 0.77 | 0.57 | 0.61 | 0.68 | 0.54 | 0.61 | 0.77 | 0.73 |
| 4 | 0.72 | 0.96 | 0.80 | 1.00 | 0.71 | 0.61 | 0.66 | 0.77 | 0.71 | 0.70 | 0.68 | 0.67 |
| 5 | 0.80 | 0.72 | 0.77 | 0.71 | 1.00 | 0.60 | 0.64 | 0.61 | 0.58 | 0.58 | 0.88 | 0.84 |
| 6 | 0.56 | 0.61 | 0.57 | 0.61 | 0.60 | 1.00 | 0.75 | 0.61 | 0.68 | 0.78 | 0.59 | 0.57 |
| 7 | 0.60 | 0.66 | 0.61 | 0.66 | 0.64 | 0.75 | 1.00 | 0.69 | 0.69 | 0.84 | 0.60 | 0.56 |
| 8 | 0.62 | 0.79 | 0.68 | 0.77 | 0.61 | 0.61 | 0.69 | 1.00 | 0.79 | 0.75 | 0.58 | 0.57 |
| 9 | 0.51 | 0.71 | 0.54 | 0.71 | 0.58 | 0.68 | 0.69 | 0.79 | 1.00 | 0.78 | 0.54 | 0.53 |
| 10 | 0.56 | 0.69 | 0.61 | 0.70 | 0.58 | 0.78 | 0.84 | 0.75 | 0.78 | 1.00 | 0.57 | 0.54 |
| 11 | 0.81 | 0.71 | 0.77 | 0.68 | 0.88 | 0.59 | 0.60 | 0.58 | 0.54 | 0.57 | 1.00 | 0.88 |
| 12 | 0.82 | 0.72 | 0.73 | 0.67 | 0.84 | 0.57 | 0.56 | 0.57 | 0.53 | 0.54 | 0.88 | 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