| Project Name | A52S |
| Project Name | A52S |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 121.9 | 94.9 | 66.6 | 63.8 | 58.4 | 57.4 | 57.2 | 52.0 | 49.9 | 46.6 | 38.0 | 26.5 |
| Cluster size | 276 | 200 | 173 | 174 | 178 | 173 | 172 | 151 | 164 | 139 | 122 | 78 |
| Average cluster RMSD | 2.3 | 2.1 | 2.6 | 2.7 | 3.0 | 3.0 | 3.0 | 2.9 | 3.3 | 3.0 | 3.2 | 2.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.56 | 5.82 | 9.08 | 7.34 | 8.22 | 6.20 | 6.96 | 7.81 | 8.52 | 8.58 | 7.11 | 7.85 |
| GDT_TS | 0.54 | 0.56 | 0.48 | 0.57 | 0.49 | 0.57 | 0.45 | 0.48 | 0.45 | 0.54 | 0.47 | 0.57 |
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 | 3.15 | 6.08 | 3.77 | 5.32 | 4.20 | 4.11 | 1.96 | 5.17 | 4.95 | 3.50 | 3.69 |
| 2 | 3.15 | 0.00 | 6.44 | 3.53 | 5.29 | 3.36 | 3.47 | 3.70 | 5.15 | 5.53 | 3.51 | 4.37 |
| 3 | 6.08 | 6.44 | 0.00 | 5.72 | 2.24 | 5.46 | 5.95 | 6.16 | 3.67 | 3.30 | 5.88 | 6.01 |
| 4 | 3.77 | 3.53 | 5.72 | 0.00 | 4.93 | 4.09 | 3.63 | 4.35 | 3.69 | 4.76 | 2.74 | 5.52 |
| 5 | 5.32 | 5.29 | 2.24 | 4.93 | 0.00 | 5.05 | 4.66 | 5.77 | 3.57 | 3.89 | 4.88 | 5.73 |
| 6 | 4.20 | 3.36 | 5.46 | 4.09 | 5.05 | 0.00 | 4.60 | 4.24 | 4.64 | 4.36 | 4.50 | 3.94 |
| 7 | 4.11 | 3.47 | 5.95 | 3.63 | 4.66 | 4.60 | 0.00 | 4.39 | 4.12 | 5.86 | 2.79 | 4.98 |
| 8 | 1.96 | 3.70 | 6.16 | 4.35 | 5.77 | 4.24 | 4.39 | 0.00 | 5.13 | 4.84 | 3.93 | 3.54 |
| 9 | 5.17 | 5.15 | 3.67 | 3.69 | 3.57 | 4.64 | 4.12 | 5.13 | 0.00 | 3.78 | 3.64 | 5.71 |
| 10 | 4.95 | 5.53 | 3.30 | 4.76 | 3.89 | 4.36 | 5.86 | 4.84 | 3.78 | 0.00 | 5.34 | 4.65 |
| 11 | 3.50 | 3.51 | 5.88 | 2.74 | 4.88 | 4.50 | 2.79 | 3.93 | 3.64 | 5.34 | 0.00 | 5.40 |
| 12 | 3.69 | 4.37 | 6.01 | 5.52 | 5.73 | 3.94 | 4.98 | 3.54 | 5.71 | 4.65 | 5.40 | 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 | 0.68 | 0.64 | 0.67 | 0.62 | 0.71 | 0.64 | 0.80 | 0.71 | 0.74 | 0.73 | 0.78 |
| 2 | 0.68 | 1.00 | 0.63 | 0.66 | 0.70 | 0.74 | 0.70 | 0.66 | 0.63 | 0.64 | 0.69 | 0.62 |
| 3 | 0.64 | 0.63 | 1.00 | 0.58 | 0.78 | 0.61 | 0.62 | 0.58 | 0.67 | 0.65 | 0.66 | 0.59 |
| 4 | 0.67 | 0.66 | 0.58 | 1.00 | 0.57 | 0.71 | 0.62 | 0.56 | 0.66 | 0.67 | 0.71 | 0.58 |
| 5 | 0.62 | 0.70 | 0.78 | 0.57 | 1.00 | 0.64 | 0.72 | 0.60 | 0.68 | 0.63 | 0.65 | 0.61 |
| 6 | 0.71 | 0.74 | 0.61 | 0.71 | 0.64 | 1.00 | 0.60 | 0.61 | 0.64 | 0.73 | 0.66 | 0.68 |
| 7 | 0.64 | 0.70 | 0.62 | 0.62 | 0.72 | 0.60 | 1.00 | 0.59 | 0.67 | 0.58 | 0.74 | 0.59 |
| 8 | 0.80 | 0.66 | 0.58 | 0.56 | 0.60 | 0.61 | 0.59 | 1.00 | 0.69 | 0.70 | 0.63 | 0.65 |
| 9 | 0.71 | 0.63 | 0.67 | 0.66 | 0.68 | 0.64 | 0.67 | 0.69 | 1.00 | 0.64 | 0.78 | 0.63 |
| 10 | 0.74 | 0.64 | 0.65 | 0.67 | 0.63 | 0.73 | 0.58 | 0.70 | 0.64 | 1.00 | 0.66 | 0.73 |
| 11 | 0.73 | 0.69 | 0.66 | 0.71 | 0.65 | 0.66 | 0.74 | 0.63 | 0.78 | 0.66 | 1.00 | 0.68 |
| 12 | 0.78 | 0.62 | 0.59 | 0.58 | 0.61 | 0.68 | 0.59 | 0.65 | 0.63 | 0.73 | 0.68 | 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