| Project Name | MKMUT122 |
| Project Name | MKMUT122 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 83.7 | 81.2 | 78.5 | 74.0 | 72.0 | 69.6 | 63.4 | 53.6 | 51.3 | 39.1 | 37.9 | 32.2 |
| Cluster size | 239 | 234 | 211 | 209 | 192 | 126 | 168 | 150 | 163 | 102 | 118 | 88 |
| Average cluster RMSD | 2.9 | 2.9 | 2.7 | 2.8 | 2.7 | 1.8 | 2.6 | 2.8 | 3.2 | 2.6 | 3.1 | 2.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.51 | 4.11 | 3.79 | 4.49 | 4.52 | 6.41 | 5.03 | 4.70 | 6.88 | 3.52 | 6.20 | 6.80 |
| GDT_TS | 0.57 | 0.64 | 0.64 | 0.53 | 0.68 | 0.47 | 0.56 | 0.67 | 0.44 | 0.67 | 0.50 | 0.67 |
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 | 4.05 | 2.42 | 4.28 | 4.23 | 4.65 | 4.38 | 4.36 | 4.91 | 2.83 | 3.97 | 5.77 |
| 2 | 4.05 | 0.00 | 3.51 | 4.40 | 4.17 | 6.78 | 5.73 | 2.92 | 6.80 | 3.54 | 6.23 | 6.68 |
| 3 | 2.42 | 3.51 | 0.00 | 3.38 | 3.91 | 5.62 | 4.56 | 4.35 | 5.77 | 1.10 | 4.71 | 5.87 |
| 4 | 4.28 | 4.40 | 3.38 | 0.00 | 4.99 | 5.43 | 4.12 | 5.24 | 5.14 | 3.41 | 4.24 | 6.17 |
| 5 | 4.23 | 4.17 | 3.91 | 4.99 | 0.00 | 5.82 | 4.69 | 2.38 | 4.97 | 4.39 | 4.85 | 4.41 |
| 6 | 4.65 | 6.78 | 5.62 | 5.43 | 5.82 | 0.00 | 3.32 | 6.00 | 4.12 | 5.92 | 2.98 | 6.37 |
| 7 | 4.38 | 5.73 | 4.56 | 4.12 | 4.69 | 3.32 | 0.00 | 5.20 | 4.38 | 4.61 | 3.05 | 6.17 |
| 8 | 4.36 | 2.92 | 4.35 | 5.24 | 2.38 | 6.00 | 5.20 | 0.00 | 5.26 | 4.77 | 5.62 | 4.70 |
| 9 | 4.91 | 6.80 | 5.77 | 5.14 | 4.97 | 4.12 | 4.38 | 5.26 | 0.00 | 6.21 | 2.78 | 4.99 |
| 10 | 2.83 | 3.54 | 1.10 | 3.41 | 4.39 | 5.92 | 4.61 | 4.77 | 6.21 | 0.00 | 5.04 | 6.26 |
| 11 | 3.97 | 6.23 | 4.71 | 4.24 | 4.85 | 2.98 | 3.05 | 5.62 | 2.78 | 5.04 | 0.00 | 5.45 |
| 12 | 5.77 | 6.68 | 5.87 | 6.17 | 4.41 | 6.37 | 6.17 | 4.70 | 4.99 | 6.26 | 5.45 | 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 | 0.79 | 0.63 | 0.63 | 0.60 | 0.62 | 0.68 | 0.59 | 0.78 | 0.65 | 0.56 |
| 2 | 0.71 | 1.00 | 0.71 | 0.55 | 0.68 | 0.54 | 0.64 | 0.77 | 0.47 | 0.70 | 0.53 | 0.53 |
| 3 | 0.79 | 0.71 | 1.00 | 0.67 | 0.71 | 0.63 | 0.60 | 0.65 | 0.61 | 0.96 | 0.64 | 0.64 |
| 4 | 0.63 | 0.55 | 0.67 | 1.00 | 0.60 | 0.60 | 0.57 | 0.55 | 0.71 | 0.68 | 0.75 | 0.60 |
| 5 | 0.63 | 0.68 | 0.71 | 0.60 | 1.00 | 0.55 | 0.65 | 0.80 | 0.54 | 0.73 | 0.59 | 0.70 |
| 6 | 0.60 | 0.54 | 0.63 | 0.60 | 0.55 | 1.00 | 0.70 | 0.56 | 0.68 | 0.64 | 0.74 | 0.58 |
| 7 | 0.62 | 0.64 | 0.60 | 0.57 | 0.65 | 0.70 | 1.00 | 0.66 | 0.61 | 0.60 | 0.69 | 0.54 |
| 8 | 0.68 | 0.77 | 0.65 | 0.55 | 0.80 | 0.56 | 0.66 | 1.00 | 0.52 | 0.64 | 0.56 | 0.57 |
| 9 | 0.59 | 0.47 | 0.61 | 0.71 | 0.54 | 0.68 | 0.61 | 0.52 | 1.00 | 0.61 | 0.73 | 0.56 |
| 10 | 0.78 | 0.70 | 0.96 | 0.68 | 0.73 | 0.64 | 0.60 | 0.64 | 0.61 | 1.00 | 0.65 | 0.67 |
| 11 | 0.65 | 0.53 | 0.64 | 0.75 | 0.59 | 0.74 | 0.69 | 0.56 | 0.73 | 0.65 | 1.00 | 0.58 |
| 12 | 0.56 | 0.53 | 0.64 | 0.60 | 0.70 | 0.58 | 0.54 | 0.57 | 0.56 | 0.67 | 0.58 | 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