| Project Name | 129D-N |
| Project Name | 129D-N |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 110.8 | 90.9 | 83.4 | 76.4 | 75.1 | 73.4 | 67.0 | 63.9 | 61.4 | 49.9 | 43.1 | 41.4 |
| Cluster size | 253 | 217 | 213 | 169 | 190 | 182 | 188 | 133 | 148 | 109 | 114 | 84 |
| Average cluster RMSD | 2.3 | 2.4 | 2.6 | 2.2 | 2.5 | 2.5 | 2.8 | 2.1 | 2.4 | 2.2 | 2.6 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.87 | 4.15 | 7.08 | 6.44 | 6.34 | 5.69 | 7.62 | 9.01 | 4.51 | 9.19 | 6.82 | 6.14 |
| GDT_TS | 0.58 | 0.71 | 0.60 | 0.64 | 0.60 | 0.61 | 0.48 | 0.42 | 0.66 | 0.47 | 0.50 | 0.50 |
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 | 6.18 | 2.63 | 3.08 | 3.15 | 4.23 | 3.15 | 4.29 | 5.55 | 3.22 | 4.16 | 7.29 |
| 2 | 6.18 | 0.00 | 5.18 | 4.70 | 4.99 | 4.77 | 5.29 | 7.65 | 4.03 | 7.74 | 5.47 | 6.62 |
| 3 | 2.63 | 5.18 | 0.00 | 2.80 | 3.03 | 4.17 | 2.93 | 4.81 | 5.04 | 4.32 | 4.54 | 6.88 |
| 4 | 3.08 | 4.70 | 2.80 | 0.00 | 2.22 | 2.62 | 3.87 | 5.68 | 3.93 | 5.44 | 4.39 | 7.40 |
| 5 | 3.15 | 4.99 | 3.03 | 2.22 | 0.00 | 2.17 | 3.49 | 4.46 | 3.38 | 4.91 | 3.07 | 6.53 |
| 6 | 4.23 | 4.77 | 4.17 | 2.62 | 2.17 | 0.00 | 4.55 | 5.34 | 2.93 | 5.99 | 3.16 | 6.93 |
| 7 | 3.15 | 5.29 | 2.93 | 3.87 | 3.49 | 4.55 | 0.00 | 3.86 | 5.18 | 3.85 | 3.68 | 7.02 |
| 8 | 4.29 | 7.65 | 4.81 | 5.68 | 4.46 | 5.34 | 3.86 | 0.00 | 6.65 | 2.97 | 3.74 | 6.60 |
| 9 | 5.55 | 4.03 | 5.04 | 3.93 | 3.38 | 2.93 | 5.18 | 6.65 | 0.00 | 7.39 | 3.98 | 7.14 |
| 10 | 3.22 | 7.74 | 4.32 | 5.44 | 4.91 | 5.99 | 3.85 | 2.97 | 7.39 | 0.00 | 4.84 | 6.78 |
| 11 | 4.16 | 5.47 | 4.54 | 4.39 | 3.07 | 3.16 | 3.68 | 3.74 | 3.98 | 4.84 | 0.00 | 6.51 |
| 12 | 7.29 | 6.62 | 6.88 | 7.40 | 6.53 | 6.93 | 7.02 | 6.60 | 7.14 | 6.78 | 6.51 | 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 | 0.70 | 0.84 | 0.70 | 0.80 | 0.72 | 0.76 | 0.58 | 0.76 | 0.65 | 0.74 | 0.58 |
| 2 | 0.70 | 1.00 | 0.70 | 0.69 | 0.69 | 0.69 | 0.59 | 0.46 | 0.80 | 0.56 | 0.60 | 0.52 |
| 3 | 0.84 | 0.70 | 1.00 | 0.70 | 0.80 | 0.74 | 0.72 | 0.57 | 0.79 | 0.60 | 0.71 | 0.59 |
| 4 | 0.70 | 0.69 | 0.70 | 1.00 | 0.77 | 0.83 | 0.60 | 0.48 | 0.79 | 0.51 | 0.58 | 0.55 |
| 5 | 0.80 | 0.69 | 0.80 | 0.77 | 1.00 | 0.79 | 0.69 | 0.54 | 0.78 | 0.65 | 0.70 | 0.57 |
| 6 | 0.72 | 0.69 | 0.74 | 0.83 | 0.79 | 1.00 | 0.64 | 0.51 | 0.81 | 0.55 | 0.61 | 0.55 |
| 7 | 0.76 | 0.59 | 0.72 | 0.60 | 0.69 | 0.64 | 1.00 | 0.70 | 0.61 | 0.78 | 0.79 | 0.69 |
| 8 | 0.58 | 0.46 | 0.57 | 0.48 | 0.54 | 0.51 | 0.70 | 1.00 | 0.49 | 0.77 | 0.69 | 0.72 |
| 9 | 0.76 | 0.80 | 0.79 | 0.79 | 0.78 | 0.81 | 0.61 | 0.49 | 1.00 | 0.59 | 0.63 | 0.52 |
| 10 | 0.65 | 0.56 | 0.60 | 0.51 | 0.65 | 0.55 | 0.78 | 0.77 | 0.59 | 1.00 | 0.74 | 0.70 |
| 11 | 0.74 | 0.60 | 0.71 | 0.58 | 0.70 | 0.61 | 0.79 | 0.69 | 0.63 | 0.74 | 1.00 | 0.63 |
| 12 | 0.58 | 0.52 | 0.59 | 0.55 | 0.57 | 0.55 | 0.69 | 0.72 | 0.52 | 0.70 | 0.63 | 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