| Project Name | pa_dus |
| Project Name | pa_dus |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 225.1 | 203.0 | 146.4 | 133.0 | 121.0 | 109.5 | 78.8 | 68.9 | 66.1 | 57.7 | 41.2 | 39.8 |
| Cluster size | 357 | 246 | 190 | 239 | 219 | 180 | 155 | 103 | 83 | 92 | 73 | 63 |
| Average cluster RMSD | 1.6 | 1.2 | 1.3 | 1.8 | 1.8 | 1.6 | 2.0 | 1.5 | 1.3 | 1.6 | 1.8 | 1.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.24 | 3.18 | 3.91 | 3.67 | 2.98 | 3.46 | 3.29 | 3.42 | 3.81 | 2.94 | 4.39 | 2.69 |
| GDT_TS | 0.62 | 0.63 | 0.62 | 0.62 | 0.63 | 0.62 | 0.63 | 0.62 | 0.59 | 0.64 | 0.59 | 0.65 |
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 | 1.90 | 2.80 | 2.53 | 2.26 | 2.52 | 2.47 | 2.64 | 2.63 | 2.53 | 3.30 | 3.04 |
| 2 | 1.90 | 0.00 | 2.55 | 2.63 | 2.27 | 2.49 | 2.46 | 2.56 | 2.40 | 2.46 | 3.35 | 2.96 |
| 3 | 2.80 | 2.55 | 0.00 | 2.85 | 2.74 | 2.27 | 2.86 | 3.18 | 2.03 | 2.89 | 3.28 | 3.35 |
| 4 | 2.53 | 2.63 | 2.85 | 0.00 | 2.63 | 2.36 | 2.26 | 2.59 | 2.85 | 2.69 | 3.19 | 3.71 |
| 5 | 2.26 | 2.27 | 2.74 | 2.63 | 0.00 | 2.44 | 2.62 | 2.67 | 2.63 | 2.63 | 3.26 | 2.69 |
| 6 | 2.52 | 2.49 | 2.27 | 2.36 | 2.44 | 0.00 | 2.49 | 2.66 | 2.31 | 2.64 | 3.49 | 3.29 |
| 7 | 2.47 | 2.46 | 2.86 | 2.26 | 2.62 | 2.49 | 0.00 | 2.75 | 2.78 | 2.43 | 3.16 | 3.15 |
| 8 | 2.64 | 2.56 | 3.18 | 2.59 | 2.67 | 2.66 | 2.75 | 0.00 | 3.03 | 2.95 | 3.53 | 3.55 |
| 9 | 2.63 | 2.40 | 2.03 | 2.85 | 2.63 | 2.31 | 2.78 | 3.03 | 0.00 | 2.66 | 3.36 | 3.27 |
| 10 | 2.53 | 2.46 | 2.89 | 2.69 | 2.63 | 2.64 | 2.43 | 2.95 | 2.66 | 0.00 | 3.64 | 2.77 |
| 11 | 3.30 | 3.35 | 3.28 | 3.19 | 3.26 | 3.49 | 3.16 | 3.53 | 3.36 | 3.64 | 0.00 | 4.15 |
| 12 | 3.04 | 2.96 | 3.35 | 3.71 | 2.69 | 3.29 | 3.15 | 3.55 | 3.27 | 2.77 | 4.15 | 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 | 0.76 | 0.76 | 0.72 | 0.77 | 0.72 | 0.75 | 0.69 | 0.72 | 0.72 | 0.73 | 0.67 |
| 2 | 0.76 | 1.00 | 0.77 | 0.69 | 0.73 | 0.71 | 0.73 | 0.68 | 0.72 | 0.70 | 0.71 | 0.68 |
| 3 | 0.76 | 0.77 | 1.00 | 0.72 | 0.76 | 0.70 | 0.73 | 0.70 | 0.75 | 0.71 | 0.76 | 0.68 |
| 4 | 0.72 | 0.69 | 0.72 | 1.00 | 0.74 | 0.72 | 0.69 | 0.69 | 0.67 | 0.67 | 0.74 | 0.65 |
| 5 | 0.77 | 0.73 | 0.76 | 0.74 | 1.00 | 0.76 | 0.70 | 0.70 | 0.69 | 0.68 | 0.69 | 0.69 |
| 6 | 0.72 | 0.71 | 0.70 | 0.72 | 0.76 | 1.00 | 0.71 | 0.69 | 0.69 | 0.67 | 0.69 | 0.65 |
| 7 | 0.75 | 0.73 | 0.73 | 0.69 | 0.70 | 0.71 | 1.00 | 0.65 | 0.70 | 0.71 | 0.67 | 0.69 |
| 8 | 0.69 | 0.68 | 0.70 | 0.69 | 0.70 | 0.69 | 0.65 | 1.00 | 0.66 | 0.64 | 0.71 | 0.63 |
| 9 | 0.72 | 0.72 | 0.75 | 0.67 | 0.69 | 0.69 | 0.70 | 0.66 | 1.00 | 0.69 | 0.69 | 0.65 |
| 10 | 0.72 | 0.70 | 0.71 | 0.67 | 0.68 | 0.67 | 0.71 | 0.64 | 0.69 | 1.00 | 0.66 | 0.73 |
| 11 | 0.73 | 0.71 | 0.76 | 0.74 | 0.69 | 0.69 | 0.67 | 0.71 | 0.69 | 0.66 | 1.00 | 0.62 |
| 12 | 0.67 | 0.68 | 0.68 | 0.65 | 0.69 | 0.65 | 0.69 | 0.63 | 0.65 | 0.73 | 0.62 | 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