| Project Name | control |
| Project Name | control |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 194.8 | 192.0 | 130.8 | 110.5 | 95.1 | 81.5 | 71.4 | 70.0 | 64.7 | 45.9 | 45.0 | 44.9 |
| Cluster size | 266 | 360 | 209 | 126 | 199 | 139 | 147 | 146 | 127 | 102 | 103 | 76 |
| Average cluster RMSD | 1.4 | 1.9 | 1.6 | 1.1 | 2.1 | 1.7 | 2.1 | 2.1 | 2.0 | 2.2 | 2.3 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.38 | 7.58 | 6.14 | 8.47 | 7.86 | 7.17 | 7.05 | 7.09 | 7.66 | 6.91 | 7.62 | 7.82 |
| GDT_TS | 0.44 | 0.44 | 0.48 | 0.43 | 0.43 | 0.45 | 0.47 | 0.47 | 0.44 | 0.45 | 0.46 | 0.44 |
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 | 2.36 | 3.94 | 3.38 | 1.48 | 2.68 | 2.71 | 2.06 | 4.09 | 2.83 | 3.92 | 4.22 |
| 2 | 2.36 | 0.00 | 5.06 | 2.59 | 2.01 | 1.82 | 1.61 | 2.45 | 5.31 | 3.92 | 2.96 | 5.14 |
| 3 | 3.94 | 5.06 | 0.00 | 6.02 | 4.36 | 5.19 | 5.44 | 4.05 | 2.90 | 2.24 | 6.23 | 3.78 |
| 4 | 3.38 | 2.59 | 6.02 | 0.00 | 2.83 | 2.19 | 2.60 | 3.13 | 5.67 | 4.76 | 2.97 | 5.51 |
| 5 | 1.48 | 2.01 | 4.36 | 2.83 | 0.00 | 2.58 | 2.61 | 2.04 | 4.20 | 2.87 | 3.51 | 4.13 |
| 6 | 2.68 | 1.82 | 5.19 | 2.19 | 2.58 | 0.00 | 1.23 | 2.82 | 5.61 | 4.37 | 2.89 | 5.65 |
| 7 | 2.71 | 1.61 | 5.44 | 2.60 | 2.61 | 1.23 | 0.00 | 2.98 | 5.84 | 4.47 | 2.88 | 5.67 |
| 8 | 2.06 | 2.45 | 4.05 | 3.13 | 2.04 | 2.82 | 2.98 | 0.00 | 3.82 | 2.81 | 3.24 | 3.63 |
| 9 | 4.09 | 5.31 | 2.90 | 5.67 | 4.20 | 5.61 | 5.84 | 3.82 | 0.00 | 2.33 | 5.88 | 1.97 |
| 10 | 2.83 | 3.92 | 2.24 | 4.76 | 2.87 | 4.37 | 4.47 | 2.81 | 2.33 | 0.00 | 5.08 | 2.48 |
| 11 | 3.92 | 2.96 | 6.23 | 2.97 | 3.51 | 2.89 | 2.88 | 3.24 | 5.88 | 5.08 | 0.00 | 5.40 |
| 12 | 4.22 | 5.14 | 3.78 | 5.51 | 4.13 | 5.65 | 5.67 | 3.63 | 1.97 | 2.48 | 5.40 | 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 | 0.57 | 0.64 | 0.85 | 0.76 | 0.74 | 0.80 | 0.57 | 0.62 | 0.66 | 0.60 |
| 2 | 0.73 | 1.00 | 0.52 | 0.74 | 0.76 | 0.79 | 0.84 | 0.73 | 0.52 | 0.57 | 0.76 | 0.54 |
| 3 | 0.57 | 0.52 | 1.00 | 0.48 | 0.56 | 0.51 | 0.49 | 0.59 | 0.82 | 0.76 | 0.44 | 0.69 |
| 4 | 0.64 | 0.74 | 0.48 | 1.00 | 0.67 | 0.83 | 0.82 | 0.69 | 0.50 | 0.52 | 0.76 | 0.50 |
| 5 | 0.85 | 0.76 | 0.56 | 0.67 | 1.00 | 0.76 | 0.74 | 0.78 | 0.55 | 0.69 | 0.68 | 0.66 |
| 6 | 0.76 | 0.79 | 0.51 | 0.83 | 0.76 | 1.00 | 0.89 | 0.74 | 0.54 | 0.53 | 0.77 | 0.51 |
| 7 | 0.74 | 0.84 | 0.49 | 0.82 | 0.74 | 0.89 | 1.00 | 0.74 | 0.52 | 0.54 | 0.75 | 0.51 |
| 8 | 0.80 | 0.73 | 0.59 | 0.69 | 0.78 | 0.74 | 0.74 | 1.00 | 0.56 | 0.65 | 0.71 | 0.60 |
| 9 | 0.57 | 0.52 | 0.82 | 0.50 | 0.55 | 0.54 | 0.52 | 0.56 | 1.00 | 0.82 | 0.45 | 0.80 |
| 10 | 0.62 | 0.57 | 0.76 | 0.52 | 0.69 | 0.53 | 0.54 | 0.65 | 0.82 | 1.00 | 0.50 | 0.93 |
| 11 | 0.66 | 0.76 | 0.44 | 0.76 | 0.68 | 0.77 | 0.75 | 0.71 | 0.45 | 0.50 | 1.00 | 0.46 |
| 12 | 0.60 | 0.54 | 0.69 | 0.50 | 0.66 | 0.51 | 0.51 | 0.60 | 0.80 | 0.93 | 0.46 | 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