| Project Name | MM2 |
| Project Name | MM2 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 274.1 | 90.0 | 89.2 | 71.3 | 68.3 | 63.5 | 59.9 | 37.4 | 35.4 | 34.4 | 31.3 | 29.6 |
| Cluster size | 532 | 205 | 200 | 173 | 159 | 182 | 142 | 95 | 79 | 71 | 83 | 79 |
| Average cluster RMSD | 1.9 | 2.3 | 2.2 | 2.4 | 2.3 | 2.9 | 2.4 | 2.5 | 2.2 | 2.1 | 2.7 | 2.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.13 | 5.43 | 5.64 | 3.30 | 3.54 | 5.52 | 5.18 | 2.32 | 2.68 | 6.01 | 3.73 | 4.94 |
| GDT_TS | 0.57 | 0.57 | 0.55 | 0.62 | 0.70 | 0.55 | 0.57 | 0.71 | 0.68 | 0.57 | 0.57 | 0.54 |
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 | 2.64 | 3.07 | 4.04 | 4.13 | 3.56 | 4.09 | 5.85 | 7.92 | 10.90 | 7.23 | 6.49 |
| 2 | 2.64 | 0.00 | 4.24 | 4.18 | 2.98 | 3.79 | 4.51 | 5.11 | 7.15 | 10.30 | 7.19 | 6.64 |
| 3 | 3.07 | 4.24 | 0.00 | 3.48 | 4.91 | 3.07 | 3.11 | 5.12 | 6.72 | 9.27 | 5.22 | 4.30 |
| 4 | 4.04 | 4.18 | 3.48 | 0.00 | 3.15 | 3.74 | 3.13 | 2.91 | 4.52 | 7.26 | 4.06 | 4.02 |
| 5 | 4.13 | 2.98 | 4.91 | 3.15 | 0.00 | 4.41 | 4.66 | 3.06 | 5.16 | 8.10 | 5.93 | 5.84 |
| 6 | 3.56 | 3.79 | 3.07 | 3.74 | 4.41 | 0.00 | 2.47 | 4.90 | 6.54 | 9.15 | 5.80 | 4.33 |
| 7 | 4.09 | 4.51 | 3.11 | 3.13 | 4.66 | 2.47 | 0.00 | 4.54 | 5.89 | 8.30 | 4.84 | 3.57 |
| 8 | 5.85 | 5.11 | 5.12 | 2.91 | 3.06 | 4.90 | 4.54 | 0.00 | 3.08 | 5.93 | 4.02 | 4.10 |
| 9 | 7.92 | 7.15 | 6.72 | 4.52 | 5.16 | 6.54 | 5.89 | 3.08 | 0.00 | 4.04 | 3.02 | 4.45 |
| 10 | 10.90 | 10.30 | 9.27 | 7.26 | 8.10 | 9.15 | 8.30 | 5.93 | 4.04 | 0.00 | 4.95 | 5.92 |
| 11 | 7.23 | 7.19 | 5.22 | 4.06 | 5.93 | 5.80 | 4.84 | 4.02 | 3.02 | 4.95 | 0.00 | 3.07 |
| 12 | 6.49 | 6.64 | 4.30 | 4.02 | 5.84 | 4.33 | 3.57 | 4.10 | 4.45 | 5.92 | 3.07 | 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 | 0.73 | 0.66 | 0.64 | 0.61 | 0.64 | 0.71 | 0.59 | 0.52 | 0.52 | 0.54 | 0.52 |
| 2 | 0.73 | 1.00 | 0.57 | 0.66 | 0.71 | 0.61 | 0.55 | 0.55 | 0.54 | 0.54 | 0.52 | 0.48 |
| 3 | 0.66 | 0.57 | 1.00 | 0.59 | 0.52 | 0.68 | 0.61 | 0.54 | 0.52 | 0.57 | 0.61 | 0.61 |
| 4 | 0.64 | 0.66 | 0.59 | 1.00 | 0.64 | 0.62 | 0.75 | 0.62 | 0.57 | 0.52 | 0.57 | 0.59 |
| 5 | 0.61 | 0.71 | 0.52 | 0.64 | 1.00 | 0.54 | 0.50 | 0.71 | 0.61 | 0.57 | 0.50 | 0.45 |
| 6 | 0.64 | 0.61 | 0.68 | 0.62 | 0.54 | 1.00 | 0.75 | 0.61 | 0.55 | 0.48 | 0.54 | 0.71 |
| 7 | 0.71 | 0.55 | 0.61 | 0.75 | 0.50 | 0.75 | 1.00 | 0.59 | 0.57 | 0.48 | 0.55 | 0.70 |
| 8 | 0.59 | 0.55 | 0.54 | 0.62 | 0.71 | 0.61 | 0.59 | 1.00 | 0.73 | 0.54 | 0.52 | 0.57 |
| 9 | 0.52 | 0.54 | 0.52 | 0.57 | 0.61 | 0.55 | 0.57 | 0.73 | 1.00 | 0.62 | 0.64 | 0.61 |
| 10 | 0.52 | 0.54 | 0.57 | 0.52 | 0.57 | 0.48 | 0.48 | 0.54 | 0.62 | 1.00 | 0.57 | 0.57 |
| 11 | 0.54 | 0.52 | 0.61 | 0.57 | 0.50 | 0.54 | 0.55 | 0.52 | 0.64 | 0.57 | 1.00 | 0.70 |
| 12 | 0.52 | 0.48 | 0.61 | 0.59 | 0.45 | 0.71 | 0.70 | 0.57 | 0.61 | 0.57 | 0.70 | 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