| Project Name | Mut_luz6 |
| Project Name | Mut_luz6 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 205.0 | 188.8 | 151.5 | 119.9 | 105.7 | 104.5 | 89.9 | 89.3 | 74.4 | 58.8 | 37.4 | 36.6 |
| Cluster size | 313 | 298 | 253 | 199 | 183 | 141 | 149 | 138 | 97 | 127 | 67 | 35 |
| Average cluster RMSD | 1.5 | 1.6 | 1.7 | 1.7 | 1.7 | 1.3 | 1.7 | 1.5 | 1.3 | 2.2 | 1.8 | 1.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.08 | 3.15 | 4.52 | 4.20 | 3.50 | 2.67 | 2.53 | 4.42 | 4.31 | 3.25 | 4.61 | 3.58 |
| GDT_TS | 0.68 | 0.72 | 0.53 | 0.52 | 0.64 | 0.72 | 0.76 | 0.56 | 0.54 | 0.65 | 0.53 | 0.65 |
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 | 2.53 | 4.32 | 4.03 | 1.33 | 1.11 | 1.68 | 3.79 | 3.28 | 1.02 | 3.64 | 2.26 |
| 2 | 2.53 | 0.00 | 4.37 | 3.97 | 3.39 | 2.25 | 1.88 | 4.29 | 3.88 | 1.96 | 3.89 | 3.03 |
| 3 | 4.32 | 4.37 | 0.00 | 1.04 | 4.43 | 4.20 | 4.78 | 1.46 | 2.21 | 3.90 | 1.58 | 4.07 |
| 4 | 4.03 | 3.97 | 1.04 | 0.00 | 4.26 | 3.92 | 4.23 | 1.52 | 1.96 | 3.67 | 1.49 | 3.89 |
| 5 | 1.33 | 3.39 | 4.43 | 4.26 | 0.00 | 1.82 | 2.64 | 3.78 | 3.35 | 1.94 | 3.85 | 2.33 |
| 6 | 1.11 | 2.25 | 4.20 | 3.92 | 1.82 | 0.00 | 1.64 | 3.82 | 3.25 | 1.12 | 3.67 | 2.38 |
| 7 | 1.68 | 1.88 | 4.78 | 4.23 | 2.64 | 1.64 | 0.00 | 4.25 | 3.78 | 1.80 | 4.14 | 2.81 |
| 8 | 3.79 | 4.29 | 1.46 | 1.52 | 3.78 | 3.82 | 4.25 | 0.00 | 1.63 | 3.62 | 1.37 | 3.57 |
| 9 | 3.28 | 3.88 | 2.21 | 1.96 | 3.35 | 3.25 | 3.78 | 1.63 | 0.00 | 3.04 | 1.55 | 3.29 |
| 10 | 1.02 | 1.96 | 3.90 | 3.67 | 1.94 | 1.12 | 1.80 | 3.62 | 3.04 | 0.00 | 3.30 | 2.18 |
| 11 | 3.64 | 3.89 | 1.58 | 1.49 | 3.85 | 3.67 | 4.14 | 1.37 | 1.55 | 3.30 | 0.00 | 3.69 |
| 12 | 2.26 | 3.03 | 4.07 | 3.89 | 2.33 | 2.38 | 2.81 | 3.57 | 3.29 | 2.18 | 3.69 | 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 | 0.73 | 0.64 | 0.64 | 0.89 | 0.89 | 0.81 | 0.73 | 0.76 | 0.93 | 0.71 | 0.86 |
| 2 | 0.73 | 1.00 | 0.64 | 0.68 | 0.68 | 0.77 | 0.83 | 0.63 | 0.63 | 0.83 | 0.62 | 0.77 |
| 3 | 0.64 | 0.64 | 1.00 | 0.91 | 0.60 | 0.65 | 0.62 | 0.88 | 0.81 | 0.69 | 0.87 | 0.66 |
| 4 | 0.64 | 0.68 | 0.91 | 1.00 | 0.61 | 0.61 | 0.63 | 0.86 | 0.82 | 0.69 | 0.85 | 0.66 |
| 5 | 0.89 | 0.68 | 0.60 | 0.61 | 1.00 | 0.82 | 0.71 | 0.66 | 0.68 | 0.84 | 0.65 | 0.83 |
| 6 | 0.89 | 0.77 | 0.65 | 0.61 | 0.82 | 1.00 | 0.82 | 0.71 | 0.73 | 0.91 | 0.68 | 0.83 |
| 7 | 0.81 | 0.83 | 0.62 | 0.63 | 0.71 | 0.82 | 1.00 | 0.71 | 0.67 | 0.81 | 0.67 | 0.80 |
| 8 | 0.73 | 0.63 | 0.88 | 0.86 | 0.66 | 0.71 | 0.71 | 1.00 | 0.85 | 0.72 | 0.86 | 0.72 |
| 9 | 0.76 | 0.63 | 0.81 | 0.82 | 0.68 | 0.73 | 0.67 | 0.85 | 1.00 | 0.78 | 0.85 | 0.72 |
| 10 | 0.93 | 0.83 | 0.69 | 0.69 | 0.84 | 0.91 | 0.81 | 0.72 | 0.78 | 1.00 | 0.72 | 0.89 |
| 11 | 0.71 | 0.62 | 0.87 | 0.85 | 0.65 | 0.68 | 0.67 | 0.86 | 0.85 | 0.72 | 1.00 | 0.67 |
| 12 | 0.86 | 0.77 | 0.66 | 0.66 | 0.83 | 0.83 | 0.80 | 0.72 | 0.72 | 0.89 | 0.67 | 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