| Project Name | MUT_4 |
| Project Name | MUT_4 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 154.4 | 130.3 | 88.2 | 71.3 | 71.1 | 54.3 | 53.4 | 51.0 | 44.0 | 41.8 | 41.2 | 34.2 |
| Cluster size | 335 | 253 | 219 | 170 | 195 | 143 | 153 | 159 | 98 | 110 | 91 | 74 |
| Average cluster RMSD | 2.2 | 1.9 | 2.5 | 2.4 | 2.7 | 2.6 | 2.9 | 3.1 | 2.2 | 2.6 | 2.2 | 2.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.98 | 5.88 | 3.77 | 4.45 | 5.76 | 4.26 | 3.49 | 5.82 | 4.76 | 6.15 | 5.31 | 3.59 |
| GDT_TS | 0.59 | 0.53 | 0.63 | 0.63 | 0.56 | 0.62 | 0.68 | 0.53 | 0.58 | 0.54 | 0.62 | 0.63 |
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 | 4.03 | 1.49 | 2.16 | 3.52 | 3.99 | 3.46 | 4.66 | 2.36 | 5.62 | 4.46 | 1.69 |
| 2 | 4.03 | 0.00 | 3.84 | 2.51 | 2.09 | 5.16 | 5.82 | 3.21 | 2.61 | 4.38 | 6.24 | 4.30 |
| 3 | 1.49 | 3.84 | 0.00 | 2.28 | 3.54 | 4.22 | 3.91 | 4.78 | 2.24 | 5.70 | 5.18 | 1.93 |
| 4 | 2.16 | 2.51 | 2.28 | 0.00 | 2.16 | 4.16 | 4.20 | 3.75 | 1.55 | 4.88 | 4.87 | 2.56 |
| 5 | 3.52 | 2.09 | 3.54 | 2.16 | 0.00 | 4.86 | 5.40 | 3.55 | 2.18 | 4.99 | 5.64 | 3.84 |
| 6 | 3.99 | 5.16 | 4.22 | 4.16 | 4.86 | 0.00 | 2.75 | 4.06 | 4.60 | 3.86 | 3.29 | 4.18 |
| 7 | 3.46 | 5.82 | 3.91 | 4.20 | 5.40 | 2.75 | 0.00 | 4.72 | 4.76 | 4.96 | 2.57 | 3.78 |
| 8 | 4.66 | 3.21 | 4.78 | 3.75 | 3.55 | 4.06 | 4.72 | 0.00 | 4.27 | 2.53 | 4.66 | 5.25 |
| 9 | 2.36 | 2.61 | 2.24 | 1.55 | 2.18 | 4.60 | 4.76 | 4.27 | 0.00 | 5.35 | 5.67 | 2.48 |
| 10 | 5.62 | 4.38 | 5.70 | 4.88 | 4.99 | 3.86 | 4.96 | 2.53 | 5.35 | 0.00 | 4.89 | 6.06 |
| 11 | 4.46 | 6.24 | 5.18 | 4.87 | 5.64 | 3.29 | 2.57 | 4.66 | 5.67 | 4.89 | 0.00 | 5.14 |
| 12 | 1.69 | 4.30 | 1.93 | 2.56 | 3.84 | 4.18 | 3.78 | 5.25 | 2.48 | 6.06 | 5.14 | 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 | 0.71 | 0.82 | 0.81 | 0.70 | 0.78 | 0.82 | 0.69 | 0.84 | 0.63 | 0.78 | 0.87 |
| 2 | 0.71 | 1.00 | 0.73 | 0.74 | 0.75 | 0.68 | 0.57 | 0.82 | 0.74 | 0.82 | 0.56 | 0.69 |
| 3 | 0.82 | 0.73 | 1.00 | 0.78 | 0.64 | 0.74 | 0.73 | 0.64 | 0.79 | 0.64 | 0.66 | 0.78 |
| 4 | 0.81 | 0.74 | 0.78 | 1.00 | 0.81 | 0.80 | 0.73 | 0.75 | 0.91 | 0.66 | 0.70 | 0.81 |
| 5 | 0.70 | 0.75 | 0.64 | 0.81 | 1.00 | 0.67 | 0.65 | 0.83 | 0.78 | 0.65 | 0.64 | 0.71 |
| 6 | 0.78 | 0.68 | 0.74 | 0.80 | 0.67 | 1.00 | 0.74 | 0.67 | 0.75 | 0.65 | 0.76 | 0.81 |
| 7 | 0.82 | 0.57 | 0.73 | 0.73 | 0.65 | 0.74 | 1.00 | 0.62 | 0.69 | 0.59 | 0.84 | 0.80 |
| 8 | 0.69 | 0.82 | 0.64 | 0.75 | 0.83 | 0.67 | 0.62 | 1.00 | 0.71 | 0.75 | 0.62 | 0.70 |
| 9 | 0.84 | 0.74 | 0.79 | 0.91 | 0.78 | 0.75 | 0.69 | 0.71 | 1.00 | 0.67 | 0.69 | 0.80 |
| 10 | 0.63 | 0.82 | 0.64 | 0.66 | 0.65 | 0.65 | 0.59 | 0.75 | 0.67 | 1.00 | 0.50 | 0.61 |
| 11 | 0.78 | 0.56 | 0.66 | 0.70 | 0.64 | 0.76 | 0.84 | 0.62 | 0.69 | 0.50 | 1.00 | 0.77 |
| 12 | 0.87 | 0.69 | 0.78 | 0.81 | 0.71 | 0.81 | 0.80 | 0.70 | 0.80 | 0.61 | 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