| 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 | 7.59 | 6.18 | 8.48 | 7.87 | 7.12 | 7.00 | 7.09 | 7.66 | 7.01 | 7.59 | 7.82 |
| GDT_TS | 0.44 | 0.44 | 0.48 | 0.43 | 0.43 | 0.45 | 0.47 | 0.47 | 0.44 | 0.44 | 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 | 2.35 | 4.03 | 3.35 | 1.48 | 2.66 | 2.67 | 2.06 | 4.09 | 2.71 | 3.94 | 4.21 |
| 2 | 2.35 | 0.00 | 5.17 | 2.56 | 1.94 | 1.78 | 1.58 | 2.46 | 5.35 | 3.83 | 3.02 | 5.18 |
| 3 | 4.03 | 5.17 | 0.00 | 6.07 | 4.49 | 5.27 | 5.50 | 4.24 | 2.93 | 2.43 | 6.36 | 3.79 |
| 4 | 3.35 | 2.56 | 6.07 | 0.00 | 2.75 | 2.22 | 2.65 | 3.09 | 5.66 | 4.61 | 3.02 | 5.49 |
| 5 | 1.48 | 1.94 | 4.49 | 2.75 | 0.00 | 2.51 | 2.54 | 2.04 | 4.29 | 2.80 | 3.44 | 4.19 |
| 6 | 2.66 | 1.78 | 5.27 | 2.22 | 2.51 | 0.00 | 1.23 | 2.77 | 5.59 | 4.24 | 2.86 | 5.61 |
| 7 | 2.67 | 1.58 | 5.50 | 2.65 | 2.54 | 1.23 | 0.00 | 2.93 | 5.82 | 4.36 | 2.87 | 5.68 |
| 8 | 2.06 | 2.46 | 4.24 | 3.09 | 2.04 | 2.77 | 2.93 | 0.00 | 3.90 | 2.78 | 3.19 | 3.67 |
| 9 | 4.09 | 5.35 | 2.93 | 5.66 | 4.29 | 5.59 | 5.82 | 3.90 | 0.00 | 2.38 | 5.90 | 1.91 |
| 10 | 2.71 | 3.83 | 2.43 | 4.61 | 2.80 | 4.24 | 4.36 | 2.78 | 2.38 | 0.00 | 4.99 | 2.48 |
| 11 | 3.94 | 3.02 | 6.36 | 3.02 | 3.44 | 2.86 | 2.87 | 3.19 | 5.90 | 4.99 | 0.00 | 5.45 |
| 12 | 4.21 | 5.18 | 3.79 | 5.49 | 4.19 | 5.61 | 5.68 | 3.67 | 1.91 | 2.48 | 5.45 | 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 | 0.75 | 0.80 | 0.57 | 0.63 | 0.66 | 0.60 |
| 2 | 0.73 | 1.00 | 0.52 | 0.75 | 0.77 | 0.79 | 0.86 | 0.73 | 0.52 | 0.57 | 0.75 | 0.54 |
| 3 | 0.57 | 0.52 | 1.00 | 0.49 | 0.56 | 0.51 | 0.49 | 0.58 | 0.82 | 0.75 | 0.44 | 0.70 |
| 4 | 0.64 | 0.75 | 0.49 | 1.00 | 0.69 | 0.82 | 0.81 | 0.69 | 0.50 | 0.53 | 0.75 | 0.50 |
| 5 | 0.85 | 0.77 | 0.56 | 0.69 | 1.00 | 0.75 | 0.74 | 0.78 | 0.55 | 0.70 | 0.68 | 0.66 |
| 6 | 0.76 | 0.79 | 0.51 | 0.82 | 0.75 | 1.00 | 0.90 | 0.76 | 0.54 | 0.55 | 0.76 | 0.52 |
| 7 | 0.75 | 0.86 | 0.49 | 0.81 | 0.74 | 0.90 | 1.00 | 0.75 | 0.52 | 0.53 | 0.75 | 0.51 |
| 8 | 0.80 | 0.73 | 0.58 | 0.69 | 0.78 | 0.76 | 0.75 | 1.00 | 0.56 | 0.65 | 0.72 | 0.59 |
| 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 | 0.63 | 0.57 | 0.75 | 0.53 | 0.70 | 0.55 | 0.53 | 0.65 | 0.82 | 1.00 | 0.50 | 0.93 |
| 11 | 0.66 | 0.75 | 0.44 | 0.75 | 0.68 | 0.76 | 0.75 | 0.72 | 0.45 | 0.50 | 1.00 | 0.46 |
| 12 | 0.60 | 0.54 | 0.70 | 0.50 | 0.66 | 0.52 | 0.51 | 0.59 | 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