| 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 | 7.59 | 5.83 | 9.08 | 7.34 | 8.22 | 6.23 | 6.96 | 7.81 | 8.52 | 8.58 | 7.09 | 7.81 |
| GDT_TS | 0.53 | 0.56 | 0.48 | 0.57 | 0.48 | 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 | 3.13 | 6.05 | 3.72 | 5.31 | 4.28 | 4.12 | 1.95 | 5.11 | 4.98 | 3.51 | 3.91 |
| 2 | 3.13 | 0.00 | 6.42 | 3.45 | 5.26 | 3.41 | 3.43 | 3.65 | 5.10 | 5.52 | 3.45 | 4.44 |
| 3 | 6.05 | 6.42 | 0.00 | 5.72 | 2.31 | 5.43 | 5.95 | 6.16 | 3.67 | 3.29 | 5.92 | 6.05 |
| 4 | 3.72 | 3.45 | 5.72 | 0.00 | 4.88 | 4.10 | 3.63 | 4.35 | 3.69 | 4.74 | 2.74 | 5.65 |
| 5 | 5.31 | 5.26 | 2.31 | 4.88 | 0.00 | 5.05 | 4.59 | 5.79 | 3.55 | 3.96 | 4.87 | 5.77 |
| 6 | 4.28 | 3.41 | 5.43 | 4.10 | 5.05 | 0.00 | 4.59 | 4.31 | 4.61 | 4.34 | 4.54 | 4.03 |
| 7 | 4.12 | 3.43 | 5.95 | 3.63 | 4.59 | 4.59 | 0.00 | 4.39 | 4.12 | 5.89 | 2.80 | 5.07 |
| 8 | 1.95 | 3.65 | 6.16 | 4.35 | 5.79 | 4.31 | 4.39 | 0.00 | 5.13 | 4.89 | 3.96 | 3.81 |
| 9 | 5.11 | 5.10 | 3.67 | 3.69 | 3.55 | 4.61 | 4.12 | 5.13 | 0.00 | 3.72 | 3.65 | 5.86 |
| 10 | 4.98 | 5.52 | 3.29 | 4.74 | 3.96 | 4.34 | 5.89 | 4.89 | 3.72 | 0.00 | 5.37 | 4.85 |
| 11 | 3.51 | 3.45 | 5.92 | 2.74 | 4.87 | 4.54 | 2.80 | 3.96 | 3.65 | 5.37 | 0.00 | 5.66 |
| 12 | 3.91 | 4.44 | 6.05 | 5.65 | 5.77 | 4.03 | 5.07 | 3.81 | 5.86 | 4.85 | 5.66 | 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 | 0.66 | 0.63 | 0.69 | 0.64 | 0.81 | 0.71 | 0.74 | 0.73 | 0.73 |
| 2 | 0.68 | 1.00 | 0.63 | 0.67 | 0.70 | 0.75 | 0.71 | 0.66 | 0.64 | 0.64 | 0.70 | 0.62 |
| 3 | 0.64 | 0.63 | 1.00 | 0.58 | 0.78 | 0.62 | 0.62 | 0.58 | 0.67 | 0.65 | 0.66 | 0.60 |
| 4 | 0.66 | 0.67 | 0.58 | 1.00 | 0.58 | 0.70 | 0.62 | 0.56 | 0.66 | 0.68 | 0.70 | 0.58 |
| 5 | 0.63 | 0.70 | 0.78 | 0.58 | 1.00 | 0.65 | 0.72 | 0.60 | 0.69 | 0.63 | 0.66 | 0.62 |
| 6 | 0.69 | 0.75 | 0.62 | 0.70 | 0.65 | 1.00 | 0.60 | 0.61 | 0.64 | 0.72 | 0.66 | 0.70 |
| 7 | 0.64 | 0.71 | 0.62 | 0.62 | 0.72 | 0.60 | 1.00 | 0.59 | 0.67 | 0.59 | 0.74 | 0.59 |
| 8 | 0.81 | 0.66 | 0.58 | 0.56 | 0.60 | 0.61 | 0.59 | 1.00 | 0.69 | 0.70 | 0.63 | 0.62 |
| 9 | 0.71 | 0.64 | 0.67 | 0.66 | 0.69 | 0.64 | 0.67 | 0.69 | 1.00 | 0.63 | 0.78 | 0.65 |
| 10 | 0.74 | 0.64 | 0.65 | 0.68 | 0.63 | 0.72 | 0.59 | 0.70 | 0.63 | 1.00 | 0.66 | 0.72 |
| 11 | 0.73 | 0.70 | 0.66 | 0.70 | 0.66 | 0.66 | 0.74 | 0.63 | 0.78 | 0.66 | 1.00 | 0.68 |
| 12 | 0.73 | 0.62 | 0.60 | 0.58 | 0.62 | 0.70 | 0.59 | 0.62 | 0.65 | 0.72 | 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