| Project Name | MKMUT125 |
| Project Name | MKMUT125 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 108.5 | 89.2 | 88.6 | 85.6 | 61.3 | 47.9 | 44.9 | 35.9 | 34.9 | 33.5 | 33.0 | 32.9 |
| Cluster size | 265 | 242 | 265 | 266 | 214 | 123 | 144 | 81 | 105 | 110 | 79 | 106 |
| Average cluster RMSD | 2.4 | 2.7 | 3.0 | 3.1 | 3.5 | 2.6 | 3.2 | 2.3 | 3.0 | 3.3 | 2.4 | 3.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.94 | 7.21 | 6.65 | 7.52 | 6.63 | 3.01 | 6.02 | 5.99 | 8.24 | 6.24 | 7.99 | 4.43 |
| GDT_TS | 0.55 | 0.50 | 0.51 | 0.55 | 0.49 | 0.71 | 0.51 | 0.64 | 0.49 | 0.50 | 0.50 | 0.66 |
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 | 3.15 | 3.58 | 1.84 | 3.81 | 6.22 | 4.46 | 5.44 | 5.05 | 5.81 | 5.37 | 6.04 |
| 2 | 3.15 | 0.00 | 1.40 | 2.84 | 4.72 | 5.29 | 4.60 | 4.47 | 4.58 | 5.76 | 6.69 | 4.97 |
| 3 | 3.58 | 1.40 | 0.00 | 3.06 | 4.68 | 4.82 | 4.45 | 4.14 | 4.46 | 5.48 | 6.53 | 4.54 |
| 4 | 1.84 | 2.84 | 3.06 | 0.00 | 3.89 | 5.87 | 4.19 | 5.25 | 4.16 | 5.17 | 5.36 | 5.81 |
| 5 | 3.81 | 4.72 | 4.68 | 3.89 | 0.00 | 5.32 | 1.53 | 6.00 | 6.52 | 3.31 | 4.16 | 5.58 |
| 6 | 6.22 | 5.29 | 4.82 | 5.87 | 5.32 | 0.00 | 4.87 | 4.08 | 6.62 | 5.31 | 6.91 | 2.84 |
| 7 | 4.46 | 4.60 | 4.45 | 4.19 | 1.53 | 4.87 | 0.00 | 5.96 | 6.59 | 3.12 | 4.89 | 5.30 |
| 8 | 5.44 | 4.47 | 4.14 | 5.25 | 6.00 | 4.08 | 5.96 | 0.00 | 4.82 | 5.77 | 6.57 | 2.60 |
| 9 | 5.05 | 4.58 | 4.46 | 4.16 | 6.52 | 6.62 | 6.59 | 4.82 | 0.00 | 6.03 | 6.64 | 6.17 |
| 10 | 5.81 | 5.76 | 5.48 | 5.17 | 3.31 | 5.31 | 3.12 | 5.77 | 6.03 | 0.00 | 4.20 | 5.24 |
| 11 | 5.37 | 6.69 | 6.53 | 5.36 | 4.16 | 6.91 | 4.89 | 6.57 | 6.64 | 4.20 | 0.00 | 6.71 |
| 12 | 6.04 | 4.97 | 4.54 | 5.81 | 5.58 | 2.84 | 5.30 | 2.60 | 6.17 | 5.24 | 6.71 | 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 | 0.76 | 0.73 | 0.95 | 0.63 | 0.64 | 0.63 | 0.61 | 0.74 | 0.64 | 0.62 | 0.59 |
| 2 | 0.76 | 1.00 | 0.94 | 0.71 | 0.59 | 0.62 | 0.59 | 0.69 | 0.69 | 0.61 | 0.54 | 0.67 |
| 3 | 0.73 | 0.94 | 1.00 | 0.75 | 0.61 | 0.63 | 0.61 | 0.73 | 0.66 | 0.62 | 0.54 | 0.70 |
| 4 | 0.95 | 0.71 | 0.75 | 1.00 | 0.65 | 0.65 | 0.64 | 0.61 | 0.71 | 0.64 | 0.61 | 0.59 |
| 5 | 0.63 | 0.59 | 0.61 | 0.65 | 1.00 | 0.57 | 0.95 | 0.53 | 0.53 | 0.87 | 0.67 | 0.51 |
| 6 | 0.64 | 0.62 | 0.63 | 0.65 | 0.57 | 1.00 | 0.59 | 0.75 | 0.57 | 0.62 | 0.57 | 0.76 |
| 7 | 0.63 | 0.59 | 0.61 | 0.64 | 0.95 | 0.59 | 1.00 | 0.55 | 0.55 | 0.84 | 0.68 | 0.53 |
| 8 | 0.61 | 0.69 | 0.73 | 0.61 | 0.53 | 0.75 | 0.55 | 1.00 | 0.57 | 0.56 | 0.53 | 0.87 |
| 9 | 0.74 | 0.69 | 0.66 | 0.71 | 0.53 | 0.57 | 0.55 | 0.57 | 1.00 | 0.55 | 0.58 | 0.53 |
| 10 | 0.64 | 0.61 | 0.62 | 0.64 | 0.87 | 0.62 | 0.84 | 0.56 | 0.55 | 1.00 | 0.74 | 0.54 |
| 11 | 0.62 | 0.54 | 0.54 | 0.61 | 0.67 | 0.57 | 0.68 | 0.53 | 0.58 | 0.74 | 1.00 | 0.56 |
| 12 | 0.59 | 0.67 | 0.70 | 0.59 | 0.51 | 0.76 | 0.53 | 0.87 | 0.53 | 0.54 | 0.56 | 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