| Project Name | control3 |
| Project Name | control3 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 150.9 | 102.9 | 97.8 | 90.0 | 67.5 | 60.8 | 57.4 | 48.2 | 46.0 | 26.1 | 19.7 | 18.1 |
| Cluster size | 344 | 293 | 253 | 230 | 209 | 160 | 125 | 120 | 113 | 85 | 31 | 37 |
| Average cluster RMSD | 2.3 | 2.8 | 2.6 | 2.6 | 3.1 | 2.6 | 2.2 | 2.5 | 2.5 | 3.3 | 1.6 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.10 | 5.28 | 5.22 | 5.16 | 5.28 | 5.07 | 5.14 | 5.83 | 4.08 | 5.97 | 8.08 | 5.37 |
| GDT_TS | 0.51 | 0.54 | 0.52 | 0.53 | 0.57 | 0.59 | 0.54 | 0.59 | 0.62 | 0.50 | 0.56 | 0.65 |
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 | 2.66 | 1.64 | 2.38 | 3.58 | 2.82 | 1.95 | 2.74 | 2.77 | 4.55 | 6.57 | 5.80 |
| 2 | 2.66 | 0.00 | 2.73 | 2.38 | 2.42 | 3.84 | 3.33 | 3.19 | 4.05 | 4.76 | 5.40 | 5.63 |
| 3 | 1.64 | 2.73 | 0.00 | 2.12 | 3.12 | 3.38 | 2.22 | 3.01 | 3.28 | 4.50 | 6.17 | 6.05 |
| 4 | 2.38 | 2.38 | 2.12 | 0.00 | 3.06 | 3.68 | 2.37 | 3.53 | 3.58 | 4.22 | 6.15 | 6.00 |
| 5 | 3.58 | 2.42 | 3.12 | 3.06 | 0.00 | 3.84 | 4.22 | 3.46 | 3.70 | 4.75 | 4.89 | 5.45 |
| 6 | 2.82 | 3.84 | 3.38 | 3.68 | 3.84 | 0.00 | 3.66 | 2.06 | 2.24 | 5.16 | 7.04 | 5.54 |
| 7 | 1.95 | 3.33 | 2.22 | 2.37 | 4.22 | 3.66 | 0.00 | 3.80 | 3.38 | 5.10 | 7.48 | 6.83 |
| 8 | 2.74 | 3.19 | 3.01 | 3.53 | 3.46 | 2.06 | 3.80 | 0.00 | 2.98 | 5.20 | 6.38 | 5.45 |
| 9 | 2.77 | 4.05 | 3.28 | 3.58 | 3.70 | 2.24 | 3.38 | 2.98 | 0.00 | 5.13 | 7.28 | 5.81 |
| 10 | 4.55 | 4.76 | 4.50 | 4.22 | 4.75 | 5.16 | 5.10 | 5.20 | 5.13 | 0.00 | 5.05 | 3.99 |
| 11 | 6.57 | 5.40 | 6.17 | 6.15 | 4.89 | 7.04 | 7.48 | 6.38 | 7.28 | 5.05 | 0.00 | 5.78 |
| 12 | 5.80 | 5.63 | 6.05 | 6.00 | 5.45 | 5.54 | 6.83 | 5.45 | 5.81 | 3.99 | 5.78 | 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 | 0.77 | 0.85 | 0.76 | 0.69 | 0.71 | 0.83 | 0.75 | 0.74 | 0.68 | 0.73 | 0.61 |
| 2 | 0.77 | 1.00 | 0.76 | 0.87 | 0.76 | 0.62 | 0.93 | 0.66 | 0.64 | 0.69 | 0.74 | 0.51 |
| 3 | 0.85 | 0.76 | 1.00 | 0.79 | 0.74 | 0.67 | 0.80 | 0.69 | 0.70 | 0.69 | 0.73 | 0.60 |
| 4 | 0.76 | 0.87 | 0.79 | 1.00 | 0.78 | 0.60 | 0.86 | 0.64 | 0.61 | 0.73 | 0.73 | 0.52 |
| 5 | 0.69 | 0.76 | 0.74 | 0.78 | 1.00 | 0.63 | 0.75 | 0.65 | 0.67 | 0.67 | 0.76 | 0.55 |
| 6 | 0.71 | 0.62 | 0.67 | 0.60 | 0.63 | 1.00 | 0.67 | 0.84 | 0.87 | 0.61 | 0.65 | 0.71 |
| 7 | 0.83 | 0.93 | 0.80 | 0.86 | 0.75 | 0.67 | 1.00 | 0.70 | 0.70 | 0.70 | 0.77 | 0.55 |
| 8 | 0.75 | 0.66 | 0.69 | 0.64 | 0.65 | 0.84 | 0.70 | 1.00 | 0.78 | 0.61 | 0.62 | 0.67 |
| 9 | 0.74 | 0.64 | 0.70 | 0.61 | 0.67 | 0.87 | 0.70 | 0.78 | 1.00 | 0.60 | 0.71 | 0.70 |
| 10 | 0.68 | 0.69 | 0.69 | 0.73 | 0.67 | 0.61 | 0.70 | 0.61 | 0.60 | 1.00 | 0.65 | 0.64 |
| 11 | 0.73 | 0.74 | 0.73 | 0.73 | 0.76 | 0.65 | 0.77 | 0.62 | 0.71 | 0.65 | 1.00 | 0.52 |
| 12 | 0.61 | 0.51 | 0.60 | 0.52 | 0.55 | 0.71 | 0.55 | 0.67 | 0.70 | 0.64 | 0.52 | 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