| 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 | 2.57 | 2.80 | 5.44 | 4.87 | 3.16 | 2.88 | 5.46 | 4.47 | 3.69 | 6.05 | 7.40 | 7.15 |
| GDT_TS | 0.74 | 0.70 | 0.53 | 0.70 | 0.69 | 0.66 | 0.54 | 0.58 | 0.67 | 0.65 | 0.50 | 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 | 1.05 | 5.03 | 4.26 | 2.00 | 1.75 | 4.68 | 3.67 | 3.53 | 5.32 | 7.02 | 6.99 |
| 2 | 1.05 | 0.00 | 4.59 | 4.29 | 2.16 | 1.86 | 4.23 | 3.73 | 3.69 | 5.01 | 6.65 | 6.66 |
| 3 | 5.03 | 4.59 | 0.00 | 5.68 | 5.05 | 4.98 | 1.45 | 5.05 | 5.04 | 5.36 | 5.07 | 4.52 |
| 4 | 4.26 | 4.29 | 5.68 | 0.00 | 4.43 | 4.86 | 5.72 | 4.86 | 2.79 | 2.79 | 5.51 | 5.48 |
| 5 | 2.00 | 2.16 | 5.05 | 4.43 | 0.00 | 2.90 | 4.79 | 2.43 | 4.11 | 5.17 | 6.56 | 6.64 |
| 6 | 1.75 | 1.86 | 4.98 | 4.86 | 2.90 | 0.00 | 4.63 | 4.31 | 3.64 | 5.84 | 7.46 | 7.29 |
| 7 | 4.68 | 4.23 | 1.45 | 5.72 | 4.79 | 4.63 | 0.00 | 4.97 | 5.09 | 5.39 | 5.05 | 4.60 |
| 8 | 3.67 | 3.73 | 5.05 | 4.86 | 2.43 | 4.31 | 4.97 | 0.00 | 4.52 | 4.93 | 5.94 | 6.38 |
| 9 | 3.53 | 3.69 | 5.04 | 2.79 | 4.11 | 3.64 | 5.09 | 4.52 | 0.00 | 4.33 | 6.02 | 5.81 |
| 10 | 5.32 | 5.01 | 5.36 | 2.79 | 5.17 | 5.84 | 5.39 | 4.93 | 4.33 | 0.00 | 4.39 | 4.80 |
| 11 | 7.02 | 6.65 | 5.07 | 5.51 | 6.56 | 7.46 | 5.05 | 5.94 | 6.02 | 4.39 | 0.00 | 2.24 |
| 12 | 6.99 | 6.66 | 4.52 | 5.48 | 6.64 | 7.29 | 4.60 | 6.38 | 5.81 | 4.80 | 2.24 | 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 | 0.93 | 0.55 | 0.86 | 0.89 | 0.84 | 0.54 | 0.73 | 0.78 | 0.80 | 0.59 | 0.53 |
| 2 | 0.93 | 1.00 | 0.59 | 0.85 | 0.94 | 0.84 | 0.57 | 0.76 | 0.78 | 0.84 | 0.59 | 0.51 |
| 3 | 0.55 | 0.59 | 1.00 | 0.57 | 0.57 | 0.57 | 0.90 | 0.60 | 0.59 | 0.59 | 0.64 | 0.63 |
| 4 | 0.86 | 0.85 | 0.57 | 1.00 | 0.84 | 0.87 | 0.59 | 0.75 | 0.81 | 0.87 | 0.58 | 0.52 |
| 5 | 0.89 | 0.94 | 0.57 | 0.84 | 1.00 | 0.80 | 0.57 | 0.78 | 0.73 | 0.83 | 0.57 | 0.50 |
| 6 | 0.84 | 0.84 | 0.57 | 0.87 | 0.80 | 1.00 | 0.56 | 0.76 | 0.82 | 0.78 | 0.54 | 0.51 |
| 7 | 0.54 | 0.57 | 0.90 | 0.59 | 0.57 | 0.56 | 1.00 | 0.61 | 0.61 | 0.61 | 0.69 | 0.65 |
| 8 | 0.73 | 0.76 | 0.60 | 0.75 | 0.78 | 0.76 | 0.61 | 1.00 | 0.75 | 0.82 | 0.58 | 0.52 |
| 9 | 0.78 | 0.78 | 0.59 | 0.81 | 0.73 | 0.82 | 0.61 | 0.75 | 1.00 | 0.78 | 0.59 | 0.53 |
| 10 | 0.80 | 0.84 | 0.59 | 0.87 | 0.83 | 0.78 | 0.61 | 0.82 | 0.78 | 1.00 | 0.61 | 0.55 |
| 11 | 0.59 | 0.59 | 0.64 | 0.58 | 0.57 | 0.54 | 0.69 | 0.58 | 0.59 | 0.61 | 1.00 | 0.85 |
| 12 | 0.53 | 0.51 | 0.63 | 0.52 | 0.50 | 0.51 | 0.65 | 0.52 | 0.53 | 0.55 | 0.85 | 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