| Project Name | Control6 |
| Project Name | Control6 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 157.0 | 89.0 | 79.0 | 58.3 | 58.0 | 53.2 | 45.3 | 44.6 | 40.5 | 40.2 | 39.4 | 21.2 |
| Cluster size | 350 | 237 | 207 | 186 | 195 | 128 | 134 | 145 | 140 | 121 | 100 | 57 |
| Average cluster RMSD | 2.2 | 2.7 | 2.6 | 3.2 | 3.4 | 2.4 | 3.0 | 3.3 | 3.5 | 3.0 | 2.5 | 2.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.56 | 2.76 | 5.43 | 4.85 | 3.21 | 2.84 | 5.52 | 4.52 | 3.62 | 6.19 | 7.40 | 7.05 |
| GDT_TS | 0.74 | 0.71 | 0.53 | 0.69 | 0.68 | 0.67 | 0.53 | 0.59 | 0.67 | 0.61 | 0.49 | 0.46 |
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 | 1.28 | 4.98 | 4.22 | 2.03 | 1.79 | 4.81 | 3.81 | 3.48 | 5.47 | 7.17 | 6.92 |
| 2 | 1.28 | 0.00 | 4.49 | 4.13 | 2.32 | 1.77 | 4.17 | 3.89 | 3.46 | 4.99 | 6.62 | 6.48 |
| 3 | 4.98 | 4.49 | 0.00 | 5.67 | 4.73 | 4.98 | 1.33 | 5.03 | 5.16 | 5.31 | 5.21 | 4.61 |
| 4 | 4.22 | 4.13 | 5.67 | 0.00 | 4.40 | 4.80 | 5.69 | 4.78 | 2.68 | 2.81 | 5.46 | 5.32 |
| 5 | 2.03 | 2.32 | 4.73 | 4.40 | 0.00 | 2.95 | 4.77 | 2.47 | 4.09 | 5.22 | 6.64 | 6.61 |
| 6 | 1.79 | 1.77 | 4.98 | 4.80 | 2.95 | 0.00 | 4.74 | 4.39 | 3.56 | 5.93 | 7.52 | 7.20 |
| 7 | 4.81 | 4.17 | 1.33 | 5.69 | 4.77 | 4.74 | 0.00 | 5.17 | 5.16 | 5.37 | 5.16 | 4.60 |
| 8 | 3.81 | 3.89 | 5.03 | 4.78 | 2.47 | 4.39 | 5.17 | 0.00 | 4.50 | 5.07 | 6.07 | 6.47 |
| 9 | 3.48 | 3.46 | 5.16 | 2.68 | 4.09 | 3.56 | 5.16 | 4.50 | 0.00 | 4.31 | 6.06 | 5.70 |
| 10 | 5.47 | 4.99 | 5.31 | 2.81 | 5.22 | 5.93 | 5.37 | 5.07 | 4.31 | 0.00 | 4.27 | 4.54 |
| 11 | 7.17 | 6.62 | 5.21 | 5.46 | 6.64 | 7.52 | 5.16 | 6.07 | 6.06 | 4.27 | 0.00 | 2.28 |
| 12 | 6.92 | 6.48 | 4.61 | 5.32 | 6.61 | 7.20 | 4.60 | 6.47 | 5.70 | 4.54 | 2.28 | 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 | 0.90 | 0.57 | 0.84 | 0.87 | 0.84 | 0.54 | 0.71 | 0.77 | 0.78 | 0.58 | 0.53 |
| 2 | 0.90 | 1.00 | 0.61 | 0.89 | 0.89 | 0.85 | 0.59 | 0.75 | 0.81 | 0.82 | 0.58 | 0.51 |
| 3 | 0.57 | 0.61 | 1.00 | 0.58 | 0.57 | 0.57 | 0.92 | 0.60 | 0.59 | 0.61 | 0.66 | 0.64 |
| 4 | 0.84 | 0.89 | 0.58 | 1.00 | 0.83 | 0.86 | 0.60 | 0.76 | 0.82 | 0.86 | 0.58 | 0.52 |
| 5 | 0.87 | 0.89 | 0.57 | 0.83 | 1.00 | 0.79 | 0.57 | 0.78 | 0.74 | 0.81 | 0.55 | 0.50 |
| 6 | 0.84 | 0.85 | 0.57 | 0.86 | 0.79 | 1.00 | 0.56 | 0.75 | 0.82 | 0.76 | 0.53 | 0.50 |
| 7 | 0.54 | 0.59 | 0.92 | 0.60 | 0.57 | 0.56 | 1.00 | 0.61 | 0.61 | 0.61 | 0.68 | 0.65 |
| 8 | 0.71 | 0.75 | 0.60 | 0.76 | 0.78 | 0.75 | 0.61 | 1.00 | 0.73 | 0.83 | 0.58 | 0.52 |
| 9 | 0.77 | 0.81 | 0.59 | 0.82 | 0.74 | 0.82 | 0.61 | 0.73 | 1.00 | 0.78 | 0.59 | 0.53 |
| 10 | 0.78 | 0.82 | 0.61 | 0.86 | 0.81 | 0.76 | 0.61 | 0.83 | 0.78 | 1.00 | 0.62 | 0.56 |
| 11 | 0.58 | 0.58 | 0.66 | 0.58 | 0.55 | 0.53 | 0.68 | 0.58 | 0.59 | 0.62 | 1.00 | 0.83 |
| 12 | 0.53 | 0.51 | 0.64 | 0.52 | 0.50 | 0.50 | 0.65 | 0.52 | 0.53 | 0.56 | 0.83 | 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