| Project Name | RW54 |
| Project Name | RW54 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 162.4 | 92.2 | 82.2 | 66.6 | 56.5 | 50.8 | 48.4 | 48.3 | 47.9 | 41.4 | 29.5 | 23.3 |
| Cluster size | 419 | 235 | 240 | 178 | 174 | 153 | 116 | 141 | 97 | 85 | 102 | 60 |
| Average cluster RMSD | 2.6 | 2.5 | 2.9 | 2.7 | 3.1 | 3.0 | 2.4 | 2.9 | 2.0 | 2.1 | 3.5 | 2.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.59 | 5.63 | 3.92 | 3.15 | 4.66 | 3.77 | 6.18 | 6.41 | 8.12 | 7.89 | 7.08 | 7.48 |
| GDT_TS | 0.64 | 0.59 | 0.62 | 0.67 | 0.65 | 0.61 | 0.55 | 0.57 | 0.59 | 0.59 | 0.61 | 0.60 |
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 | 4.19 | 1.27 | 1.79 | 2.51 | 2.33 | 4.65 | 4.87 | 7.72 | 6.49 | 5.44 | 6.98 |
| 2 | 4.19 | 0.00 | 3.99 | 5.07 | 4.47 | 4.45 | 2.50 | 2.69 | 7.79 | 6.37 | 4.02 | 7.03 |
| 3 | 1.27 | 3.99 | 0.00 | 2.10 | 2.26 | 2.66 | 4.40 | 4.38 | 7.55 | 6.16 | 4.95 | 6.89 |
| 4 | 1.79 | 5.07 | 2.10 | 0.00 | 3.54 | 3.44 | 5.60 | 5.92 | 8.76 | 7.70 | 6.46 | 8.10 |
| 5 | 2.51 | 4.47 | 2.26 | 3.54 | 0.00 | 3.15 | 4.99 | 4.14 | 6.30 | 4.65 | 4.49 | 5.89 |
| 6 | 2.33 | 4.45 | 2.66 | 3.44 | 3.15 | 0.00 | 4.43 | 4.82 | 6.76 | 6.11 | 5.34 | 5.78 |
| 7 | 4.65 | 2.50 | 4.40 | 5.60 | 4.99 | 4.43 | 0.00 | 2.77 | 7.58 | 6.53 | 3.92 | 6.65 |
| 8 | 4.87 | 2.69 | 4.38 | 5.92 | 4.14 | 4.82 | 2.77 | 0.00 | 6.54 | 4.96 | 2.13 | 5.92 |
| 9 | 7.72 | 7.79 | 7.55 | 8.76 | 6.30 | 6.76 | 7.58 | 6.54 | 0.00 | 4.05 | 6.30 | 2.31 |
| 10 | 6.49 | 6.37 | 6.16 | 7.70 | 4.65 | 6.11 | 6.53 | 4.96 | 4.05 | 0.00 | 4.67 | 3.99 |
| 11 | 5.44 | 4.02 | 4.95 | 6.46 | 4.49 | 5.34 | 3.92 | 2.13 | 6.30 | 4.67 | 0.00 | 5.75 |
| 12 | 6.98 | 7.03 | 6.89 | 8.10 | 5.89 | 5.78 | 6.65 | 5.92 | 2.31 | 3.99 | 5.75 | 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 | 0.57 | 0.97 | 0.87 | 0.90 | 0.91 | 0.52 | 0.57 | 0.56 | 0.71 | 0.59 | 0.60 |
| 2 | 0.57 | 1.00 | 0.57 | 0.56 | 0.55 | 0.57 | 0.74 | 0.81 | 0.42 | 0.55 | 0.76 | 0.43 |
| 3 | 0.97 | 0.57 | 1.00 | 0.88 | 0.89 | 0.90 | 0.54 | 0.60 | 0.56 | 0.70 | 0.60 | 0.58 |
| 4 | 0.87 | 0.56 | 0.88 | 1.00 | 0.81 | 0.80 | 0.53 | 0.54 | 0.57 | 0.69 | 0.57 | 0.60 |
| 5 | 0.90 | 0.55 | 0.89 | 0.81 | 1.00 | 0.87 | 0.48 | 0.54 | 0.60 | 0.77 | 0.55 | 0.64 |
| 6 | 0.91 | 0.57 | 0.90 | 0.80 | 0.87 | 1.00 | 0.51 | 0.57 | 0.58 | 0.72 | 0.60 | 0.61 |
| 7 | 0.52 | 0.74 | 0.54 | 0.53 | 0.48 | 0.51 | 1.00 | 0.82 | 0.43 | 0.50 | 0.81 | 0.46 |
| 8 | 0.57 | 0.81 | 0.60 | 0.54 | 0.54 | 0.57 | 0.82 | 1.00 | 0.44 | 0.53 | 0.83 | 0.45 |
| 9 | 0.56 | 0.42 | 0.56 | 0.57 | 0.60 | 0.58 | 0.43 | 0.44 | 1.00 | 0.60 | 0.47 | 0.91 |
| 10 | 0.71 | 0.55 | 0.70 | 0.69 | 0.77 | 0.72 | 0.50 | 0.53 | 0.60 | 1.00 | 0.50 | 0.64 |
| 11 | 0.59 | 0.76 | 0.60 | 0.57 | 0.55 | 0.60 | 0.81 | 0.83 | 0.47 | 0.50 | 1.00 | 0.47 |
| 12 | 0.60 | 0.43 | 0.58 | 0.60 | 0.64 | 0.61 | 0.46 | 0.45 | 0.91 | 0.64 | 0.47 | 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