| Project Name | 130AVmut |
| Project Name | 130AVmut |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 183.3 | 160.0 | 136.5 | 133.7 | 117.2 | 106.7 | 91.5 | 85.2 | 82.4 | 74.7 | 63.6 | 55.4 |
| Cluster size | 288 | 246 | 217 | 231 | 145 | 152 | 129 | 150 | 137 | 126 | 85 | 94 |
| Average cluster RMSD | 1.6 | 1.5 | 1.6 | 1.7 | 1.2 | 1.4 | 1.4 | 1.8 | 1.7 | 1.7 | 1.3 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.02 | 4.77 | 4.84 | 5.28 | 5.65 | 4.85 | 4.98 | 5.45 | 4.88 | 4.84 | 4.59 | 5.32 |
| GDT_TS | 0.54 | 0.57 | 0.53 | 0.51 | 0.52 | 0.58 | 0.56 | 0.59 | 0.53 | 0.57 | 0.55 | 0.54 |
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 | 1.06 | 1.31 | 1.46 | 3.34 | 2.19 | 1.20 | 2.93 | 1.05 | 1.42 | 2.92 | 2.81 |
| 2 | 1.06 | 0.00 | 1.73 | 1.93 | 3.42 | 2.02 | 1.17 | 2.81 | 1.20 | 1.42 | 2.83 | 2.88 |
| 3 | 1.31 | 1.73 | 0.00 | 1.40 | 3.52 | 2.83 | 1.56 | 3.29 | 1.80 | 1.31 | 3.23 | 2.99 |
| 4 | 1.46 | 1.93 | 1.40 | 0.00 | 2.90 | 2.46 | 2.06 | 2.90 | 2.07 | 1.92 | 2.93 | 2.51 |
| 5 | 3.34 | 3.42 | 3.52 | 2.90 | 0.00 | 2.22 | 4.16 | 1.28 | 3.39 | 4.07 | 2.29 | 0.80 |
| 6 | 2.19 | 2.02 | 2.83 | 2.46 | 2.22 | 0.00 | 2.84 | 1.89 | 1.92 | 2.98 | 2.04 | 1.91 |
| 7 | 1.20 | 1.17 | 1.56 | 2.06 | 4.16 | 2.84 | 0.00 | 3.67 | 1.45 | 1.20 | 3.47 | 3.60 |
| 8 | 2.93 | 2.81 | 3.29 | 2.90 | 1.28 | 1.89 | 3.67 | 0.00 | 2.96 | 3.62 | 2.14 | 1.15 |
| 9 | 1.05 | 1.20 | 1.80 | 2.07 | 3.39 | 1.92 | 1.45 | 2.96 | 0.00 | 1.75 | 2.81 | 2.85 |
| 10 | 1.42 | 1.42 | 1.31 | 1.92 | 4.07 | 2.98 | 1.20 | 3.62 | 1.75 | 0.00 | 3.68 | 3.55 |
| 11 | 2.92 | 2.83 | 3.23 | 2.93 | 2.29 | 2.04 | 3.47 | 2.14 | 2.81 | 3.68 | 0.00 | 2.01 |
| 12 | 2.81 | 2.88 | 2.99 | 2.51 | 0.80 | 1.91 | 3.60 | 1.15 | 2.85 | 3.55 | 2.01 | 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 | 0.93 | 0.88 | 0.85 | 0.68 | 0.78 | 0.89 | 0.69 | 0.92 | 0.85 | 0.74 | 0.73 |
| 2 | 0.93 | 1.00 | 0.84 | 0.79 | 0.68 | 0.79 | 0.88 | 0.70 | 0.89 | 0.86 | 0.77 | 0.71 |
| 3 | 0.88 | 0.84 | 1.00 | 0.85 | 0.63 | 0.70 | 0.85 | 0.66 | 0.80 | 0.89 | 0.70 | 0.69 |
| 4 | 0.85 | 0.79 | 0.85 | 1.00 | 0.67 | 0.73 | 0.78 | 0.68 | 0.77 | 0.78 | 0.75 | 0.73 |
| 5 | 0.68 | 0.68 | 0.63 | 0.67 | 1.00 | 0.78 | 0.63 | 0.91 | 0.65 | 0.62 | 0.77 | 0.96 |
| 6 | 0.78 | 0.79 | 0.70 | 0.73 | 0.78 | 1.00 | 0.72 | 0.77 | 0.80 | 0.70 | 0.84 | 0.81 |
| 7 | 0.89 | 0.88 | 0.85 | 0.78 | 0.63 | 0.72 | 1.00 | 0.60 | 0.88 | 0.88 | 0.71 | 0.68 |
| 8 | 0.69 | 0.70 | 0.66 | 0.68 | 0.91 | 0.77 | 0.60 | 1.00 | 0.67 | 0.62 | 0.80 | 0.94 |
| 9 | 0.92 | 0.89 | 0.80 | 0.77 | 0.65 | 0.80 | 0.88 | 0.67 | 1.00 | 0.79 | 0.76 | 0.70 |
| 10 | 0.85 | 0.86 | 0.89 | 0.78 | 0.62 | 0.70 | 0.88 | 0.62 | 0.79 | 1.00 | 0.69 | 0.69 |
| 11 | 0.74 | 0.77 | 0.70 | 0.75 | 0.77 | 0.84 | 0.71 | 0.80 | 0.76 | 0.69 | 1.00 | 0.82 |
| 12 | 0.73 | 0.71 | 0.69 | 0.73 | 0.96 | 0.81 | 0.68 | 0.94 | 0.70 | 0.69 | 0.82 | 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