| 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 | 2.50 | 2.67 | 5.37 | 4.86 | 3.21 | 2.93 | 5.46 | 4.47 | 3.67 | 6.13 | 7.42 | 7.07 |
| GDT_TS | 0.75 | 0.72 | 0.53 | 0.69 | 0.68 | 0.66 | 0.53 | 0.59 | 0.67 | 0.64 | 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 | 1.03 | 4.88 | 4.20 | 2.13 | 1.71 | 4.65 | 3.78 | 3.43 | 5.35 | 7.07 | 6.87 |
| 2 | 1.03 | 0.00 | 4.58 | 4.25 | 2.14 | 1.79 | 4.35 | 3.81 | 3.66 | 5.12 | 6.79 | 6.74 |
| 3 | 4.88 | 4.58 | 0.00 | 5.60 | 4.79 | 4.88 | 1.40 | 5.08 | 5.04 | 5.29 | 5.21 | 4.59 |
| 4 | 4.20 | 4.25 | 5.60 | 0.00 | 4.46 | 4.86 | 5.66 | 4.75 | 2.69 | 2.78 | 5.48 | 5.41 |
| 5 | 2.13 | 2.14 | 4.79 | 4.46 | 0.00 | 2.90 | 4.75 | 2.49 | 4.14 | 5.25 | 6.62 | 6.51 |
| 6 | 1.71 | 1.79 | 4.88 | 4.86 | 2.90 | 0.00 | 4.59 | 4.29 | 3.67 | 5.90 | 7.53 | 7.30 |
| 7 | 4.65 | 4.35 | 1.40 | 5.66 | 4.75 | 4.59 | 0.00 | 5.11 | 5.07 | 5.39 | 5.13 | 4.61 |
| 8 | 3.78 | 3.81 | 5.08 | 4.75 | 2.49 | 4.29 | 5.11 | 0.00 | 4.40 | 5.04 | 6.05 | 6.42 |
| 9 | 3.43 | 3.66 | 5.04 | 2.69 | 4.14 | 3.67 | 5.07 | 4.40 | 0.00 | 4.32 | 6.07 | 5.78 |
| 10 | 5.35 | 5.12 | 5.29 | 2.78 | 5.25 | 5.90 | 5.39 | 5.04 | 4.32 | 0.00 | 4.34 | 4.68 |
| 11 | 7.07 | 6.79 | 5.21 | 5.48 | 6.62 | 7.53 | 5.13 | 6.05 | 6.07 | 4.34 | 0.00 | 2.31 |
| 12 | 6.87 | 6.74 | 4.59 | 5.41 | 6.51 | 7.30 | 4.61 | 6.42 | 5.78 | 4.68 | 2.31 | 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 | 0.94 | 0.56 | 0.83 | 0.86 | 0.83 | 0.55 | 0.74 | 0.78 | 0.78 | 0.57 | 0.52 |
| 2 | 0.94 | 1.00 | 0.58 | 0.86 | 0.92 | 0.85 | 0.57 | 0.75 | 0.78 | 0.82 | 0.57 | 0.50 |
| 3 | 0.56 | 0.58 | 1.00 | 0.57 | 0.57 | 0.56 | 0.91 | 0.60 | 0.57 | 0.60 | 0.65 | 0.64 |
| 4 | 0.83 | 0.86 | 0.57 | 1.00 | 0.81 | 0.88 | 0.60 | 0.76 | 0.83 | 0.86 | 0.58 | 0.53 |
| 5 | 0.86 | 0.92 | 0.57 | 0.81 | 1.00 | 0.80 | 0.57 | 0.77 | 0.74 | 0.80 | 0.56 | 0.51 |
| 6 | 0.83 | 0.85 | 0.56 | 0.88 | 0.80 | 1.00 | 0.58 | 0.77 | 0.82 | 0.78 | 0.54 | 0.50 |
| 7 | 0.55 | 0.57 | 0.91 | 0.60 | 0.57 | 0.58 | 1.00 | 0.61 | 0.62 | 0.61 | 0.69 | 0.65 |
| 8 | 0.74 | 0.75 | 0.60 | 0.76 | 0.77 | 0.77 | 0.61 | 1.00 | 0.75 | 0.85 | 0.57 | 0.52 |
| 9 | 0.78 | 0.78 | 0.57 | 0.83 | 0.74 | 0.82 | 0.62 | 0.75 | 1.00 | 0.80 | 0.59 | 0.54 |
| 10 | 0.78 | 0.82 | 0.60 | 0.86 | 0.80 | 0.78 | 0.61 | 0.85 | 0.80 | 1.00 | 0.61 | 0.55 |
| 11 | 0.57 | 0.57 | 0.65 | 0.58 | 0.56 | 0.54 | 0.69 | 0.57 | 0.59 | 0.61 | 1.00 | 0.82 |
| 12 | 0.52 | 0.50 | 0.64 | 0.53 | 0.51 | 0.50 | 0.65 | 0.52 | 0.54 | 0.55 | 0.82 | 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