| Project Name | a91 |
| Project Name | a91 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 297.5 | 282.8 | 277.5 | 272.5 | 220.2 | 207.4 | 206.9 | 175.2 | 163.9 | 128.5 | 61.2 | 49.1 |
| Cluster size | 248 | 228 | 224 | 243 | 209 | 194 | 199 | 122 | 124 | 103 | 64 | 42 |
| Average cluster RMSD | 0.8 | 0.8 | 0.8 | 0.9 | 0.9 | 0.9 | 1.0 | 0.7 | 0.8 | 0.8 | 1.0 | 0.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.22 | 2.60 | 1.86 | 2.28 | 2.33 | 2.57 | 1.79 | 2.65 | 3.09 | 1.72 | 2.66 | 2.92 |
| GDT_TS | 0.78 | 0.72 | 0.78 | 0.74 | 0.74 | 0.72 | 0.80 | 0.70 | 0.67 | 0.80 | 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 | 1.07 | 0.98 | 0.82 | 1.01 | 1.15 | 0.92 | 1.08 | 1.45 | 1.23 | 1.10 | 1.41 |
| 2 | 1.07 | 0.00 | 1.36 | 0.89 | 0.94 | 0.89 | 1.21 | 0.96 | 1.14 | 1.59 | 0.78 | 1.42 |
| 3 | 0.98 | 1.36 | 0.00 | 1.02 | 1.09 | 1.22 | 0.73 | 1.47 | 1.67 | 0.98 | 1.43 | 1.70 |
| 4 | 0.82 | 0.89 | 1.02 | 0.00 | 0.52 | 0.93 | 0.98 | 1.06 | 1.29 | 1.24 | 0.88 | 1.45 |
| 5 | 1.01 | 0.94 | 1.09 | 0.52 | 0.00 | 0.93 | 1.14 | 1.06 | 1.18 | 1.38 | 0.97 | 1.38 |
| 6 | 1.15 | 0.89 | 1.22 | 0.93 | 0.93 | 0.00 | 1.13 | 1.36 | 1.42 | 1.39 | 0.96 | 1.59 |
| 7 | 0.92 | 1.21 | 0.73 | 0.98 | 1.14 | 1.13 | 0.00 | 1.49 | 1.80 | 0.88 | 1.25 | 1.82 |
| 8 | 1.08 | 0.96 | 1.47 | 1.06 | 1.06 | 1.36 | 1.49 | 0.00 | 0.92 | 1.74 | 1.12 | 1.09 |
| 9 | 1.45 | 1.14 | 1.67 | 1.29 | 1.18 | 1.42 | 1.80 | 0.92 | 0.00 | 2.09 | 1.28 | 0.99 |
| 10 | 1.23 | 1.59 | 0.98 | 1.24 | 1.38 | 1.39 | 0.88 | 1.74 | 2.09 | 0.00 | 1.59 | 2.01 |
| 11 | 1.10 | 0.78 | 1.43 | 0.88 | 0.97 | 0.96 | 1.25 | 1.12 | 1.28 | 1.59 | 0.00 | 1.44 |
| 12 | 1.41 | 1.42 | 1.70 | 1.45 | 1.38 | 1.59 | 1.82 | 1.09 | 0.99 | 2.01 | 1.44 | 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 | 0.92 | 0.93 | 0.95 | 0.91 | 0.91 | 0.92 | 0.91 | 0.89 | 0.90 | 0.90 | 0.89 |
| 2 | 0.92 | 1.00 | 0.88 | 0.95 | 0.93 | 0.95 | 0.90 | 0.95 | 0.92 | 0.86 | 0.97 | 0.91 |
| 3 | 0.93 | 0.88 | 1.00 | 0.92 | 0.91 | 0.90 | 0.97 | 0.85 | 0.85 | 0.92 | 0.88 | 0.84 |
| 4 | 0.95 | 0.95 | 0.92 | 1.00 | 0.99 | 0.93 | 0.92 | 0.91 | 0.90 | 0.91 | 0.95 | 0.89 |
| 5 | 0.91 | 0.93 | 0.91 | 0.99 | 1.00 | 0.94 | 0.89 | 0.92 | 0.90 | 0.89 | 0.92 | 0.91 |
| 6 | 0.91 | 0.95 | 0.90 | 0.93 | 0.94 | 1.00 | 0.92 | 0.87 | 0.87 | 0.87 | 0.95 | 0.88 |
| 7 | 0.92 | 0.90 | 0.97 | 0.92 | 0.89 | 0.92 | 1.00 | 0.83 | 0.82 | 0.95 | 0.88 | 0.82 |
| 8 | 0.91 | 0.95 | 0.85 | 0.91 | 0.92 | 0.87 | 0.83 | 1.00 | 0.95 | 0.82 | 0.92 | 0.96 |
| 9 | 0.89 | 0.92 | 0.85 | 0.90 | 0.90 | 0.87 | 0.82 | 0.95 | 1.00 | 0.82 | 0.92 | 0.98 |
| 10 | 0.90 | 0.86 | 0.92 | 0.91 | 0.89 | 0.87 | 0.95 | 0.82 | 0.82 | 1.00 | 0.86 | 0.81 |
| 11 | 0.90 | 0.97 | 0.88 | 0.95 | 0.92 | 0.95 | 0.88 | 0.92 | 0.92 | 0.86 | 1.00 | 0.90 |
| 12 | 0.89 | 0.91 | 0.84 | 0.89 | 0.91 | 0.88 | 0.82 | 0.96 | 0.98 | 0.81 | 0.90 | 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