| Project Name | A88VmutTIME2 |
| Project Name | A88VmutTIME2 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 124.7 | 97.1 | 91.2 | 79.8 | 73.7 | 73.4 | 54.3 | 45.1 | 43.9 | 28.3 | 27.0 | 26.6 |
| Cluster size | 280 | 263 | 252 | 224 | 183 | 186 | 154 | 142 | 95 | 97 | 86 | 38 |
| Average cluster RMSD | 2.2 | 2.7 | 2.8 | 2.8 | 2.5 | 2.5 | 2.8 | 3.1 | 2.2 | 3.4 | 3.2 | 1.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.01 | 3.42 | 4.72 | 4.91 | 4.72 | 3.73 | 5.04 | 5.62 | 5.26 | 5.57 | 6.68 | 7.74 |
| GDT_TS | 0.58 | 0.64 | 0.57 | 0.56 | 0.57 | 0.61 | 0.60 | 0.54 | 0.49 | 0.55 | 0.59 | 0.61 |
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 | 2.41 | 2.41 | 2.26 | 2.48 | 0.88 | 2.72 | 3.56 | 3.44 | 3.20 | 4.75 | 6.10 |
| 2 | 2.41 | 0.00 | 2.99 | 2.76 | 3.23 | 2.35 | 2.80 | 3.68 | 4.12 | 3.83 | 5.08 | 6.54 |
| 3 | 2.41 | 2.99 | 0.00 | 2.69 | 1.04 | 2.76 | 3.07 | 3.53 | 4.19 | 2.89 | 4.19 | 5.59 |
| 4 | 2.26 | 2.76 | 2.69 | 0.00 | 2.91 | 2.52 | 1.42 | 2.55 | 3.62 | 2.57 | 3.69 | 5.27 |
| 5 | 2.48 | 3.23 | 1.04 | 2.91 | 0.00 | 2.86 | 3.39 | 3.77 | 4.28 | 3.04 | 4.47 | 5.92 |
| 6 | 0.88 | 2.35 | 2.76 | 2.52 | 2.86 | 0.00 | 2.81 | 3.72 | 3.67 | 3.43 | 4.99 | 6.28 |
| 7 | 2.72 | 2.80 | 3.07 | 1.42 | 3.39 | 2.81 | 0.00 | 1.97 | 3.88 | 2.51 | 3.22 | 4.71 |
| 8 | 3.56 | 3.68 | 3.53 | 2.55 | 3.77 | 3.72 | 1.97 | 0.00 | 3.72 | 1.91 | 2.68 | 4.19 |
| 9 | 3.44 | 4.12 | 4.19 | 3.62 | 4.28 | 3.67 | 3.88 | 3.72 | 0.00 | 3.13 | 4.81 | 5.84 |
| 10 | 3.20 | 3.83 | 2.89 | 2.57 | 3.04 | 3.43 | 2.51 | 1.91 | 3.13 | 0.00 | 2.90 | 4.52 |
| 11 | 4.75 | 5.08 | 4.19 | 3.69 | 4.47 | 4.99 | 3.22 | 2.68 | 4.81 | 2.90 | 0.00 | 2.56 |
| 12 | 6.10 | 6.54 | 5.59 | 5.27 | 5.92 | 6.28 | 4.71 | 4.19 | 5.84 | 4.52 | 2.56 | 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 | 0.74 | 0.82 | 0.74 | 0.95 | 0.85 | 0.75 | 0.66 | 0.75 | 0.76 | 0.73 |
| 2 | 0.78 | 1.00 | 0.78 | 0.79 | 0.80 | 0.80 | 0.80 | 0.71 | 0.59 | 0.70 | 0.79 | 0.77 |
| 3 | 0.74 | 0.78 | 1.00 | 0.80 | 0.93 | 0.72 | 0.81 | 0.78 | 0.59 | 0.76 | 0.83 | 0.73 |
| 4 | 0.82 | 0.79 | 0.80 | 1.00 | 0.79 | 0.79 | 0.93 | 0.76 | 0.65 | 0.75 | 0.84 | 0.76 |
| 5 | 0.74 | 0.80 | 0.93 | 0.79 | 1.00 | 0.71 | 0.80 | 0.78 | 0.60 | 0.74 | 0.81 | 0.73 |
| 6 | 0.95 | 0.80 | 0.72 | 0.79 | 0.71 | 1.00 | 0.83 | 0.74 | 0.65 | 0.75 | 0.75 | 0.72 |
| 7 | 0.85 | 0.80 | 0.81 | 0.93 | 0.80 | 0.83 | 1.00 | 0.82 | 0.66 | 0.80 | 0.87 | 0.78 |
| 8 | 0.75 | 0.71 | 0.78 | 0.76 | 0.78 | 0.74 | 0.82 | 1.00 | 0.66 | 0.94 | 0.79 | 0.67 |
| 9 | 0.66 | 0.59 | 0.59 | 0.65 | 0.60 | 0.65 | 0.66 | 0.66 | 1.00 | 0.69 | 0.66 | 0.61 |
| 10 | 0.75 | 0.70 | 0.76 | 0.75 | 0.74 | 0.75 | 0.80 | 0.94 | 0.69 | 1.00 | 0.76 | 0.67 |
| 11 | 0.76 | 0.79 | 0.83 | 0.84 | 0.81 | 0.75 | 0.87 | 0.79 | 0.66 | 0.76 | 1.00 | 0.85 |
| 12 | 0.73 | 0.77 | 0.73 | 0.76 | 0.73 | 0.72 | 0.78 | 0.67 | 0.61 | 0.67 | 0.85 | 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