| Project Name | DN55 |
| Project Name | DN55 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 112.8 | 109.8 | 108.5 | 107.9 | 86.9 | 80.4 | 65.8 | 58.4 | 57.4 | 53.3 | 39.9 | 36.2 |
| Cluster size | 182 | 274 | 261 | 246 | 242 | 234 | 98 | 100 | 126 | 84 | 63 | 90 |
| Average cluster RMSD | 1.6 | 2.5 | 2.4 | 2.3 | 2.8 | 2.9 | 1.5 | 1.7 | 2.2 | 1.6 | 1.6 | 2.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.15 | 4.45 | 3.65 | 4.52 | 5.39 | 4.99 | 7.48 | 5.60 | 3.27 | 9.27 | 7.91 | 5.50 |
| GDT_TS | 0.57 | 0.54 | 0.63 | 0.58 | 0.56 | 0.60 | 0.58 | 0.50 | 0.64 | 0.58 | 0.58 | 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 | 5.01 | 5.15 | 5.29 | 4.09 | 4.13 | 1.49 | 2.82 | 5.41 | 5.24 | 4.82 | 5.76 |
| 2 | 5.01 | 0.00 | 2.62 | 1.19 | 2.97 | 2.37 | 5.56 | 3.15 | 2.69 | 7.99 | 6.89 | 3.93 |
| 3 | 5.15 | 2.62 | 0.00 | 2.99 | 3.85 | 3.32 | 5.74 | 3.67 | 1.86 | 7.94 | 6.83 | 4.93 |
| 4 | 5.29 | 1.19 | 2.99 | 0.00 | 3.30 | 2.68 | 5.90 | 3.55 | 2.89 | 8.40 | 7.37 | 4.15 |
| 5 | 4.09 | 2.97 | 3.85 | 3.30 | 0.00 | 1.63 | 4.51 | 2.96 | 3.97 | 6.51 | 5.78 | 3.32 |
| 6 | 4.13 | 2.37 | 3.32 | 2.68 | 1.63 | 0.00 | 4.54 | 2.70 | 3.20 | 7.12 | 6.28 | 3.77 |
| 7 | 1.49 | 5.56 | 5.74 | 5.90 | 4.51 | 4.54 | 0.00 | 3.55 | 5.94 | 4.83 | 4.38 | 5.96 |
| 8 | 2.82 | 3.15 | 3.67 | 3.55 | 2.96 | 2.70 | 3.55 | 0.00 | 3.80 | 6.70 | 5.79 | 4.63 |
| 9 | 5.41 | 2.69 | 1.86 | 2.89 | 3.97 | 3.20 | 5.94 | 3.80 | 0.00 | 8.72 | 7.58 | 5.30 |
| 10 | 5.24 | 7.99 | 7.94 | 8.40 | 6.51 | 7.12 | 4.83 | 6.70 | 8.72 | 0.00 | 2.42 | 6.58 |
| 11 | 4.82 | 6.89 | 6.83 | 7.37 | 5.78 | 6.28 | 4.38 | 5.79 | 7.58 | 2.42 | 0.00 | 5.61 |
| 12 | 5.76 | 3.93 | 4.93 | 4.15 | 3.32 | 3.77 | 5.96 | 4.63 | 5.30 | 6.58 | 5.61 | 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 | 0.77 | 0.61 | 0.70 | 0.68 | 0.84 | 0.76 | 0.70 | 0.73 | 0.71 | 0.55 |
| 2 | 0.68 | 1.00 | 0.78 | 0.90 | 0.81 | 0.80 | 0.64 | 0.78 | 0.74 | 0.61 | 0.57 | 0.72 |
| 3 | 0.77 | 0.78 | 1.00 | 0.74 | 0.72 | 0.77 | 0.70 | 0.74 | 0.82 | 0.64 | 0.62 | 0.65 |
| 4 | 0.61 | 0.90 | 0.74 | 1.00 | 0.80 | 0.77 | 0.57 | 0.70 | 0.76 | 0.56 | 0.54 | 0.80 |
| 5 | 0.70 | 0.81 | 0.72 | 0.80 | 1.00 | 0.88 | 0.63 | 0.78 | 0.79 | 0.60 | 0.58 | 0.76 |
| 6 | 0.68 | 0.80 | 0.77 | 0.77 | 0.88 | 1.00 | 0.62 | 0.76 | 0.77 | 0.59 | 0.54 | 0.71 |
| 7 | 0.84 | 0.64 | 0.70 | 0.57 | 0.63 | 0.62 | 1.00 | 0.69 | 0.70 | 0.75 | 0.72 | 0.53 |
| 8 | 0.76 | 0.78 | 0.74 | 0.70 | 0.78 | 0.76 | 0.69 | 1.00 | 0.69 | 0.65 | 0.57 | 0.64 |
| 9 | 0.70 | 0.74 | 0.82 | 0.76 | 0.79 | 0.77 | 0.70 | 0.69 | 1.00 | 0.57 | 0.57 | 0.63 |
| 10 | 0.73 | 0.61 | 0.64 | 0.56 | 0.60 | 0.59 | 0.75 | 0.65 | 0.57 | 1.00 | 0.84 | 0.50 |
| 11 | 0.71 | 0.57 | 0.62 | 0.54 | 0.58 | 0.54 | 0.72 | 0.57 | 0.57 | 0.84 | 1.00 | 0.50 |
| 12 | 0.55 | 0.72 | 0.65 | 0.80 | 0.76 | 0.71 | 0.53 | 0.64 | 0.63 | 0.50 | 0.50 | 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