| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 143.2 | 142.3 | 122.9 | 113.9 | 109.6 | 64.0 | 59.6 | 57.1 | 56.8 | 18.9 | 15.1 | 7.4 |
| Cluster size | 308 | 307 | 246 | 242 | 237 | 122 | 113 | 152 | 152 | 61 | 41 | 19 |
| Average cluster RMSD | 2.2 | 2.2 | 2.0 | 2.1 | 2.2 | 1.9 | 1.9 | 2.7 | 2.7 | 3.2 | 2.7 | 2.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 12.90 | 13.20 | 13.30 | 12.90 | 13.40 | 13.20 | 13.50 | 12.60 | 12.40 | 11.20 | 9.88 | 8.62 |
| GDT_TS | 0.36 | 0.41 | 0.38 | 0.41 | 0.39 | 0.40 | 0.41 | 0.40 | 0.41 | 0.42 | 0.47 | 0.49 |
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 | 2.92 | 2.06 | 3.44 | 2.80 | 2.98 | 4.18 | 3.29 | 3.48 | 5.77 | 9.22 | 9.62 |
| 2 | 2.92 | 0.00 | 2.88 | 2.89 | 2.73 | 2.68 | 3.58 | 3.62 | 3.28 | 5.28 | 8.99 | 10.20 |
| 3 | 2.06 | 2.88 | 0.00 | 3.24 | 2.52 | 2.41 | 3.58 | 3.04 | 3.15 | 5.80 | 9.45 | 9.63 |
| 4 | 3.44 | 2.89 | 3.24 | 0.00 | 3.35 | 3.37 | 2.84 | 4.13 | 3.68 | 5.58 | 8.86 | 9.96 |
| 5 | 2.80 | 2.73 | 2.52 | 3.35 | 0.00 | 2.79 | 3.68 | 3.97 | 3.70 | 6.34 | 9.55 | 10.40 |
| 6 | 2.98 | 2.68 | 2.41 | 3.37 | 2.79 | 0.00 | 3.87 | 2.97 | 2.96 | 5.65 | 9.29 | 9.93 |
| 7 | 4.18 | 3.58 | 3.58 | 2.84 | 3.68 | 3.87 | 0.00 | 5.19 | 4.68 | 5.86 | 8.73 | 10.10 |
| 8 | 3.29 | 3.62 | 3.04 | 4.13 | 3.97 | 2.97 | 5.19 | 0.00 | 2.91 | 5.45 | 9.55 | 9.12 |
| 9 | 3.48 | 3.28 | 3.15 | 3.68 | 3.70 | 2.96 | 4.68 | 2.91 | 0.00 | 5.07 | 9.08 | 9.28 |
| 10 | 5.77 | 5.28 | 5.80 | 5.58 | 6.34 | 5.65 | 5.86 | 5.45 | 5.07 | 0.00 | 6.46 | 8.04 |
| 11 | 9.22 | 8.99 | 9.45 | 8.86 | 9.55 | 9.29 | 8.73 | 9.55 | 9.08 | 6.46 | 0.00 | 6.83 |
| 12 | 9.62 | 10.20 | 9.63 | 9.96 | 10.40 | 9.93 | 10.10 | 9.12 | 9.28 | 8.04 | 6.83 | 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 | 0.66 | 0.76 | 0.64 | 0.70 | 0.64 | 0.62 | 0.60 | 0.59 | 0.50 | 0.45 | 0.39 |
| 2 | 0.66 | 1.00 | 0.66 | 0.62 | 0.70 | 0.64 | 0.61 | 0.58 | 0.57 | 0.52 | 0.45 | 0.40 |
| 3 | 0.76 | 0.66 | 1.00 | 0.67 | 0.70 | 0.72 | 0.65 | 0.65 | 0.60 | 0.51 | 0.45 | 0.40 |
| 4 | 0.64 | 0.62 | 0.67 | 1.00 | 0.62 | 0.60 | 0.70 | 0.57 | 0.59 | 0.50 | 0.48 | 0.41 |
| 5 | 0.70 | 0.70 | 0.70 | 0.62 | 1.00 | 0.64 | 0.62 | 0.57 | 0.56 | 0.49 | 0.45 | 0.39 |
| 6 | 0.64 | 0.64 | 0.72 | 0.60 | 0.64 | 1.00 | 0.57 | 0.67 | 0.63 | 0.51 | 0.44 | 0.42 |
| 7 | 0.62 | 0.61 | 0.65 | 0.70 | 0.62 | 0.57 | 1.00 | 0.53 | 0.56 | 0.49 | 0.47 | 0.39 |
| 8 | 0.60 | 0.58 | 0.65 | 0.57 | 0.57 | 0.67 | 0.53 | 1.00 | 0.63 | 0.56 | 0.51 | 0.44 |
| 9 | 0.59 | 0.57 | 0.60 | 0.59 | 0.56 | 0.63 | 0.56 | 0.63 | 1.00 | 0.53 | 0.46 | 0.40 |
| 10 | 0.50 | 0.52 | 0.51 | 0.50 | 0.49 | 0.51 | 0.49 | 0.56 | 0.53 | 1.00 | 0.51 | 0.46 |
| 11 | 0.45 | 0.45 | 0.45 | 0.48 | 0.45 | 0.44 | 0.47 | 0.51 | 0.46 | 0.51 | 1.00 | 0.54 |
| 12 | 0.39 | 0.40 | 0.40 | 0.41 | 0.39 | 0.42 | 0.39 | 0.44 | 0.40 | 0.46 | 0.54 | 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