| Project Name | RRM2B |
| Project Name | RRM2B |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 324.0 | 194.7 | 191.2 | 187.5 | 153.5 | 139.7 | 117.0 | 95.1 | 87.7 | 66.7 | 61.7 | 48.5 |
| Cluster size | 382 | 254 | 226 | 248 | 178 | 172 | 141 | 104 | 91 | 69 | 73 | 62 |
| Average cluster RMSD | 1.2 | 1.3 | 1.2 | 1.3 | 1.2 | 1.2 | 1.2 | 1.1 | 1.0 | 1.0 | 1.2 | 1.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.93 | 2.80 | 3.02 | 2.76 | 2.87 | 2.74 | 2.63 | 2.80 | 2.60 | 2.91 | 2.68 | 2.74 |
| GDT_TS | 0.67 | 0.69 | 0.68 | 0.70 | 0.68 | 0.71 | 0.72 | 0.69 | 0.72 | 0.72 | 0.70 | 0.70 |
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 | 2.08 | 2.05 | 2.08 | 2.66 | 2.58 | 2.41 | 2.90 | 2.40 | 3.13 | 2.54 | 2.97 |
| 2 | 2.08 | 0.00 | 2.06 | 2.18 | 2.56 | 2.56 | 2.24 | 2.80 | 2.17 | 2.90 | 2.19 | 2.70 |
| 3 | 2.05 | 2.06 | 0.00 | 2.28 | 2.59 | 2.64 | 2.52 | 2.86 | 2.38 | 2.99 | 2.27 | 3.03 |
| 4 | 2.08 | 2.18 | 2.28 | 0.00 | 2.38 | 2.50 | 2.24 | 2.64 | 2.26 | 2.94 | 2.29 | 3.00 |
| 5 | 2.66 | 2.56 | 2.59 | 2.38 | 0.00 | 1.72 | 2.95 | 1.56 | 2.30 | 2.00 | 2.36 | 2.27 |
| 6 | 2.58 | 2.56 | 2.64 | 2.50 | 1.72 | 0.00 | 2.91 | 1.70 | 2.27 | 2.16 | 2.51 | 2.21 |
| 7 | 2.41 | 2.24 | 2.52 | 2.24 | 2.95 | 2.91 | 0.00 | 3.04 | 1.98 | 3.07 | 2.08 | 3.16 |
| 8 | 2.90 | 2.80 | 2.86 | 2.64 | 1.56 | 1.70 | 3.04 | 0.00 | 2.43 | 1.81 | 2.59 | 2.10 |
| 9 | 2.40 | 2.17 | 2.38 | 2.26 | 2.30 | 2.27 | 1.98 | 2.43 | 0.00 | 2.42 | 2.03 | 2.51 |
| 10 | 3.13 | 2.90 | 2.99 | 2.94 | 2.00 | 2.16 | 3.07 | 1.81 | 2.42 | 0.00 | 2.57 | 2.16 |
| 11 | 2.54 | 2.19 | 2.27 | 2.29 | 2.36 | 2.51 | 2.08 | 2.59 | 2.03 | 2.57 | 0.00 | 2.91 |
| 12 | 2.97 | 2.70 | 3.03 | 3.00 | 2.27 | 2.21 | 3.16 | 2.10 | 2.51 | 2.16 | 2.91 | 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 | 0.77 | 0.78 | 0.75 | 0.78 | 0.74 | 0.72 | 0.74 | 0.71 | 0.72 | 0.72 |
| 2 | 0.76 | 1.00 | 0.78 | 0.75 | 0.70 | 0.73 | 0.72 | 0.70 | 0.73 | 0.71 | 0.73 | 0.72 |
| 3 | 0.77 | 0.78 | 1.00 | 0.75 | 0.75 | 0.75 | 0.74 | 0.72 | 0.73 | 0.71 | 0.72 | 0.69 |
| 4 | 0.78 | 0.75 | 0.75 | 1.00 | 0.79 | 0.79 | 0.77 | 0.76 | 0.75 | 0.72 | 0.74 | 0.75 |
| 5 | 0.75 | 0.70 | 0.75 | 0.79 | 1.00 | 0.82 | 0.75 | 0.84 | 0.75 | 0.76 | 0.73 | 0.75 |
| 6 | 0.78 | 0.73 | 0.75 | 0.79 | 0.82 | 1.00 | 0.77 | 0.80 | 0.78 | 0.74 | 0.75 | 0.74 |
| 7 | 0.74 | 0.72 | 0.74 | 0.77 | 0.75 | 0.77 | 1.00 | 0.73 | 0.81 | 0.73 | 0.79 | 0.71 |
| 8 | 0.72 | 0.70 | 0.72 | 0.76 | 0.84 | 0.80 | 0.73 | 1.00 | 0.75 | 0.80 | 0.73 | 0.76 |
| 9 | 0.74 | 0.73 | 0.73 | 0.75 | 0.75 | 0.78 | 0.81 | 0.75 | 1.00 | 0.78 | 0.81 | 0.75 |
| 10 | 0.71 | 0.71 | 0.71 | 0.72 | 0.76 | 0.74 | 0.73 | 0.80 | 0.78 | 1.00 | 0.72 | 0.78 |
| 11 | 0.72 | 0.73 | 0.72 | 0.74 | 0.73 | 0.75 | 0.79 | 0.73 | 0.81 | 0.72 | 1.00 | 0.70 |
| 12 | 0.72 | 0.72 | 0.69 | 0.75 | 0.75 | 0.74 | 0.71 | 0.76 | 0.75 | 0.78 | 0.70 | 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