| Project Name | MKMUT68 |
| Project Name | MKMUT68 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 110.9 | 109.6 | 90.9 | 74.6 | 70.7 | 51.0 | 47.4 | 45.4 | 44.5 | 35.9 | 20.4 | 17.9 |
| Cluster size | 303 | 260 | 238 | 207 | 213 | 139 | 162 | 128 | 131 | 125 | 51 | 43 |
| Average cluster RMSD | 2.7 | 2.4 | 2.6 | 2.8 | 3.0 | 2.7 | 3.4 | 2.8 | 2.9 | 3.5 | 2.5 | 2.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.81 | 3.61 | 3.87 | 4.16 | 4.38 | 5.63 | 3.96 | 4.64 | 4.66 | 6.06 | 4.01 | 5.69 |
| GDT_TS | 0.58 | 0.61 | 0.59 | 0.58 | 0.56 | 0.52 | 0.58 | 0.49 | 0.53 | 0.52 | 0.55 | 0.60 |
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 | 1.97 | 2.60 | 2.59 | 2.25 | 4.94 | 3.35 | 3.91 | 3.09 | 5.02 | 3.02 | 4.39 |
| 2 | 1.97 | 0.00 | 1.29 | 2.15 | 2.74 | 3.91 | 3.02 | 3.01 | 2.72 | 4.42 | 1.90 | 4.33 |
| 3 | 2.60 | 1.29 | 0.00 | 2.20 | 3.44 | 3.48 | 3.11 | 2.99 | 3.06 | 4.34 | 1.67 | 4.49 |
| 4 | 2.59 | 2.15 | 2.20 | 0.00 | 3.61 | 3.97 | 2.29 | 3.13 | 2.03 | 4.17 | 2.94 | 3.66 |
| 5 | 2.25 | 2.74 | 3.44 | 3.61 | 0.00 | 4.85 | 4.28 | 4.65 | 3.78 | 5.08 | 3.36 | 4.21 |
| 6 | 4.94 | 3.91 | 3.48 | 3.97 | 4.85 | 0.00 | 4.45 | 2.82 | 4.11 | 3.37 | 3.37 | 4.46 |
| 7 | 3.35 | 3.02 | 3.11 | 2.29 | 4.28 | 4.45 | 0.00 | 3.84 | 3.08 | 4.58 | 3.85 | 3.85 |
| 8 | 3.91 | 3.01 | 2.99 | 3.13 | 4.65 | 2.82 | 3.84 | 0.00 | 3.58 | 3.71 | 3.07 | 4.97 |
| 9 | 3.09 | 2.72 | 3.06 | 2.03 | 3.78 | 4.11 | 3.08 | 3.58 | 0.00 | 4.23 | 3.62 | 3.25 |
| 10 | 5.02 | 4.42 | 4.34 | 4.17 | 5.08 | 3.37 | 4.58 | 3.71 | 4.23 | 0.00 | 4.76 | 3.35 |
| 11 | 3.02 | 1.90 | 1.67 | 2.94 | 3.36 | 3.37 | 3.85 | 3.07 | 3.62 | 4.76 | 0.00 | 5.08 |
| 12 | 4.39 | 4.33 | 4.49 | 3.66 | 4.21 | 4.46 | 3.85 | 4.97 | 3.25 | 3.35 | 5.08 | 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 | 0.81 | 0.76 | 0.77 | 0.87 | 0.66 | 0.63 | 0.58 | 0.71 | 0.64 | 0.73 | 0.75 |
| 2 | 0.81 | 1.00 | 0.89 | 0.90 | 0.80 | 0.72 | 0.70 | 0.67 | 0.82 | 0.73 | 0.85 | 0.80 |
| 3 | 0.76 | 0.89 | 1.00 | 0.83 | 0.74 | 0.71 | 0.68 | 0.64 | 0.77 | 0.68 | 0.84 | 0.74 |
| 4 | 0.77 | 0.90 | 0.83 | 1.00 | 0.77 | 0.68 | 0.74 | 0.68 | 0.83 | 0.69 | 0.79 | 0.89 |
| 5 | 0.87 | 0.80 | 0.74 | 0.77 | 1.00 | 0.64 | 0.56 | 0.63 | 0.74 | 0.64 | 0.71 | 0.73 |
| 6 | 0.66 | 0.72 | 0.71 | 0.68 | 0.64 | 1.00 | 0.60 | 0.75 | 0.74 | 0.77 | 0.79 | 0.70 |
| 7 | 0.63 | 0.70 | 0.68 | 0.74 | 0.56 | 0.60 | 1.00 | 0.56 | 0.68 | 0.57 | 0.68 | 0.76 |
| 8 | 0.58 | 0.67 | 0.64 | 0.68 | 0.63 | 0.75 | 0.56 | 1.00 | 0.69 | 0.81 | 0.70 | 0.68 |
| 9 | 0.71 | 0.82 | 0.77 | 0.83 | 0.74 | 0.74 | 0.68 | 0.69 | 1.00 | 0.76 | 0.82 | 0.76 |
| 10 | 0.64 | 0.73 | 0.68 | 0.69 | 0.64 | 0.77 | 0.57 | 0.81 | 0.76 | 1.00 | 0.71 | 0.70 |
| 11 | 0.73 | 0.85 | 0.84 | 0.79 | 0.71 | 0.79 | 0.68 | 0.70 | 0.82 | 0.71 | 1.00 | 0.76 |
| 12 | 0.75 | 0.80 | 0.74 | 0.89 | 0.73 | 0.70 | 0.76 | 0.68 | 0.76 | 0.70 | 0.76 | 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