| Project Name | mutation86as |
| Project Name | mutation86as |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 133.5 | 107.1 | 103.1 | 73.0 | 63.1 | 56.4 | 54.8 | 47.7 | 37.9 | 29.2 | 26.9 | 24.2 |
| Cluster size | 310 | 306 | 236 | 228 | 166 | 142 | 154 | 129 | 126 | 76 | 50 | 77 |
| Average cluster RMSD | 2.3 | 2.9 | 2.3 | 3.1 | 2.6 | 2.5 | 2.8 | 2.7 | 3.3 | 2.6 | 1.9 | 3.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.69 | 3.92 | 3.35 | 3.95 | 6.14 | 5.04 | 6.57 | 3.04 | 4.84 | 7.53 | 8.44 | 6.13 |
| GDT_TS | 0.67 | 0.59 | 0.65 | 0.63 | 0.49 | 0.52 | 0.47 | 0.72 | 0.61 | 0.44 | 0.47 | 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 | 2.33 | 2.79 | 2.60 | 5.04 | 3.79 | 5.54 | 2.47 | 4.35 | 6.59 | 7.91 | 5.20 |
| 2 | 2.33 | 0.00 | 2.30 | 2.48 | 6.24 | 4.32 | 6.72 | 3.03 | 4.38 | 7.50 | 8.75 | 5.64 |
| 3 | 2.79 | 2.30 | 0.00 | 3.07 | 6.48 | 4.36 | 6.84 | 3.06 | 4.14 | 7.75 | 8.87 | 5.67 |
| 4 | 2.60 | 2.48 | 3.07 | 0.00 | 5.50 | 4.18 | 5.93 | 3.37 | 3.36 | 6.48 | 7.33 | 5.07 |
| 5 | 5.04 | 6.24 | 6.48 | 5.50 | 0.00 | 3.25 | 2.91 | 5.25 | 4.69 | 3.75 | 5.22 | 4.69 |
| 6 | 3.79 | 4.32 | 4.36 | 4.18 | 3.25 | 0.00 | 4.85 | 3.91 | 2.90 | 5.52 | 7.00 | 4.65 |
| 7 | 5.54 | 6.72 | 6.84 | 5.93 | 2.91 | 4.85 | 0.00 | 6.05 | 5.45 | 3.12 | 4.38 | 3.97 |
| 8 | 2.47 | 3.03 | 3.06 | 3.37 | 5.25 | 3.91 | 6.05 | 0.00 | 4.41 | 7.20 | 8.48 | 5.82 |
| 9 | 4.35 | 4.38 | 4.14 | 3.36 | 4.69 | 2.90 | 5.45 | 4.41 | 0.00 | 5.79 | 6.49 | 4.29 |
| 10 | 6.59 | 7.50 | 7.75 | 6.48 | 3.75 | 5.52 | 3.12 | 7.20 | 5.79 | 0.00 | 3.13 | 4.06 |
| 11 | 7.91 | 8.75 | 8.87 | 7.33 | 5.22 | 7.00 | 4.38 | 8.48 | 6.49 | 3.13 | 0.00 | 5.09 |
| 12 | 5.20 | 5.64 | 5.67 | 5.07 | 4.69 | 4.65 | 3.97 | 5.82 | 4.29 | 4.06 | 5.09 | 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 | 0.78 | 0.70 | 0.83 | 0.54 | 0.53 | 0.51 | 0.72 | 0.57 | 0.52 | 0.49 | 0.62 |
| 2 | 0.78 | 1.00 | 0.79 | 0.83 | 0.45 | 0.54 | 0.48 | 0.66 | 0.56 | 0.48 | 0.47 | 0.60 |
| 3 | 0.70 | 0.79 | 1.00 | 0.74 | 0.47 | 0.56 | 0.54 | 0.59 | 0.64 | 0.53 | 0.47 | 0.66 |
| 4 | 0.83 | 0.83 | 0.74 | 1.00 | 0.53 | 0.58 | 0.53 | 0.73 | 0.59 | 0.51 | 0.51 | 0.62 |
| 5 | 0.54 | 0.45 | 0.47 | 0.53 | 1.00 | 0.69 | 0.72 | 0.54 | 0.65 | 0.75 | 0.76 | 0.59 |
| 6 | 0.53 | 0.54 | 0.56 | 0.58 | 0.69 | 1.00 | 0.59 | 0.63 | 0.79 | 0.70 | 0.64 | 0.65 |
| 7 | 0.51 | 0.48 | 0.54 | 0.53 | 0.72 | 0.59 | 1.00 | 0.53 | 0.63 | 0.74 | 0.69 | 0.61 |
| 8 | 0.72 | 0.66 | 0.59 | 0.73 | 0.54 | 0.63 | 0.53 | 1.00 | 0.66 | 0.49 | 0.53 | 0.70 |
| 9 | 0.57 | 0.56 | 0.64 | 0.59 | 0.65 | 0.79 | 0.63 | 0.66 | 1.00 | 0.64 | 0.63 | 0.70 |
| 10 | 0.52 | 0.48 | 0.53 | 0.51 | 0.75 | 0.70 | 0.74 | 0.49 | 0.64 | 1.00 | 0.77 | 0.57 |
| 11 | 0.49 | 0.47 | 0.47 | 0.51 | 0.76 | 0.64 | 0.69 | 0.53 | 0.63 | 0.77 | 1.00 | 0.59 |
| 12 | 0.62 | 0.60 | 0.66 | 0.62 | 0.59 | 0.65 | 0.61 | 0.70 | 0.70 | 0.57 | 0.59 | 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