| Project Name | omkar |
| Project Name | omkar |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 173.8 | 148.5 | 143.2 | 120.3 | 118.4 | 113.5 | 93.1 | 85.2 | 59.7 | 51.1 | 46.3 | 37.3 |
| Cluster size | 279 | 281 | 237 | 189 | 175 | 204 | 153 | 165 | 100 | 98 | 74 | 45 |
| Average cluster RMSD | 1.6 | 1.9 | 1.7 | 1.6 | 1.5 | 1.8 | 1.6 | 1.9 | 1.7 | 1.9 | 1.6 | 1.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.79 | 2.72 | 3.04 | 3.42 | 3.36 | 3.55 | 3.72 | 3.03 | 3.30 | 3.15 | 3.93 | 3.43 |
| GDT_TS | 0.73 | 0.73 | 0.69 | 0.68 | 0.68 | 0.70 | 0.68 | 0.72 | 0.70 | 0.69 | 0.65 | 0.69 |
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 | 1.12 | 1.76 | 1.77 | 2.30 | 2.12 | 2.64 | 2.91 | 3.83 | 2.21 | 3.42 | 3.14 |
| 2 | 1.12 | 0.00 | 1.54 | 1.92 | 2.51 | 2.07 | 2.31 | 2.76 | 3.71 | 2.35 | 3.39 | 3.10 |
| 3 | 1.76 | 1.54 | 0.00 | 2.08 | 2.65 | 2.16 | 2.18 | 2.86 | 3.89 | 2.36 | 3.14 | 3.14 |
| 4 | 1.77 | 1.92 | 2.08 | 0.00 | 1.96 | 2.11 | 2.99 | 3.78 | 4.77 | 2.83 | 4.08 | 2.71 |
| 5 | 2.30 | 2.51 | 2.65 | 1.96 | 0.00 | 2.75 | 3.88 | 3.99 | 4.72 | 2.75 | 4.57 | 2.79 |
| 6 | 2.12 | 2.07 | 2.16 | 2.11 | 2.75 | 0.00 | 2.49 | 3.75 | 4.77 | 3.05 | 3.64 | 2.89 |
| 7 | 2.64 | 2.31 | 2.18 | 2.99 | 3.88 | 2.49 | 0.00 | 2.99 | 4.24 | 3.28 | 2.73 | 3.90 |
| 8 | 2.91 | 2.76 | 2.86 | 3.78 | 3.99 | 3.75 | 2.99 | 0.00 | 2.62 | 2.57 | 2.66 | 4.14 |
| 9 | 3.83 | 3.71 | 3.89 | 4.77 | 4.72 | 4.77 | 4.24 | 2.62 | 0.00 | 2.96 | 3.72 | 5.10 |
| 10 | 2.21 | 2.35 | 2.36 | 2.83 | 2.75 | 3.05 | 3.28 | 2.57 | 2.96 | 0.00 | 3.11 | 3.74 |
| 11 | 3.42 | 3.39 | 3.14 | 4.08 | 4.57 | 3.64 | 2.73 | 2.66 | 3.72 | 3.11 | 0.00 | 4.76 |
| 12 | 3.14 | 3.10 | 3.14 | 2.71 | 2.79 | 2.89 | 3.90 | 4.14 | 5.10 | 3.74 | 4.76 | 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 | 0.90 | 0.80 | 0.80 | 0.76 | 0.77 | 0.72 | 0.71 | 0.71 | 0.79 | 0.68 | 0.70 |
| 2 | 0.90 | 1.00 | 0.81 | 0.80 | 0.75 | 0.78 | 0.75 | 0.76 | 0.73 | 0.78 | 0.67 | 0.68 |
| 3 | 0.80 | 0.81 | 1.00 | 0.78 | 0.75 | 0.74 | 0.75 | 0.74 | 0.71 | 0.86 | 0.71 | 0.70 |
| 4 | 0.80 | 0.80 | 0.78 | 1.00 | 0.78 | 0.75 | 0.68 | 0.67 | 0.67 | 0.77 | 0.67 | 0.75 |
| 5 | 0.76 | 0.75 | 0.75 | 0.78 | 1.00 | 0.70 | 0.66 | 0.67 | 0.65 | 0.76 | 0.64 | 0.70 |
| 6 | 0.77 | 0.78 | 0.74 | 0.75 | 0.70 | 1.00 | 0.74 | 0.68 | 0.68 | 0.75 | 0.65 | 0.73 |
| 7 | 0.72 | 0.75 | 0.75 | 0.68 | 0.66 | 0.74 | 1.00 | 0.75 | 0.76 | 0.75 | 0.71 | 0.70 |
| 8 | 0.71 | 0.76 | 0.74 | 0.67 | 0.67 | 0.68 | 0.75 | 1.00 | 0.79 | 0.74 | 0.72 | 0.66 |
| 9 | 0.71 | 0.73 | 0.71 | 0.67 | 0.65 | 0.68 | 0.76 | 0.79 | 1.00 | 0.74 | 0.68 | 0.66 |
| 10 | 0.79 | 0.78 | 0.86 | 0.77 | 0.76 | 0.75 | 0.75 | 0.74 | 0.74 | 1.00 | 0.72 | 0.65 |
| 11 | 0.68 | 0.67 | 0.71 | 0.67 | 0.64 | 0.65 | 0.71 | 0.72 | 0.68 | 0.72 | 1.00 | 0.64 |
| 12 | 0.70 | 0.68 | 0.70 | 0.75 | 0.70 | 0.73 | 0.70 | 0.66 | 0.66 | 0.65 | 0.64 | 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