| Project Name | ControlModel128-129 |
| Project Name | ControlModel128-129 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 156.7 | 128.3 | 119.2 | 115.9 | 113.7 | 109.8 | 65.7 | 60.2 | 54.4 | 42.9 | 25.3 | 18.4 |
| Cluster size | 223 | 285 | 302 | 275 | 192 | 207 | 103 | 97 | 140 | 79 | 66 | 31 |
| Average cluster RMSD | 1.4 | 2.2 | 2.5 | 2.4 | 1.7 | 1.9 | 1.6 | 1.6 | 2.6 | 1.8 | 2.6 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.05 | 4.10 | 3.96 | 3.75 | 4.51 | 3.31 | 3.88 | 3.99 | 4.29 | 2.43 | 5.11 | 4.55 |
| GDT_TS | 0.54 | 0.55 | 0.68 | 0.63 | 0.54 | 0.70 | 0.55 | 0.61 | 0.61 | 0.72 | 0.62 | 0.49 |
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 | 1.66 | 2.80 | 4.13 | 1.46 | 3.59 | 4.80 | 3.46 | 1.87 | 4.95 | 3.02 | 2.00 |
| 2 | 1.66 | 0.00 | 1.92 | 3.12 | 0.95 | 2.38 | 5.25 | 2.35 | 0.85 | 3.86 | 2.69 | 2.42 |
| 3 | 2.80 | 1.92 | 0.00 | 3.34 | 1.98 | 1.73 | 5.15 | 2.36 | 1.65 | 3.57 | 1.92 | 2.79 |
| 4 | 4.13 | 3.12 | 3.34 | 0.00 | 3.36 | 2.24 | 4.95 | 1.51 | 3.12 | 3.24 | 3.39 | 5.02 |
| 5 | 1.46 | 0.95 | 1.98 | 3.36 | 0.00 | 2.70 | 5.12 | 2.36 | 0.98 | 4.38 | 2.45 | 2.21 |
| 6 | 3.59 | 2.38 | 1.73 | 2.24 | 2.70 | 0.00 | 5.43 | 1.90 | 2.12 | 2.50 | 2.18 | 3.89 |
| 7 | 4.80 | 5.25 | 5.15 | 4.95 | 5.12 | 5.43 | 0.00 | 5.84 | 5.40 | 4.61 | 5.19 | 4.59 |
| 8 | 3.46 | 2.35 | 2.36 | 1.51 | 2.36 | 1.90 | 5.84 | 0.00 | 2.28 | 3.53 | 2.64 | 4.01 |
| 9 | 1.87 | 0.85 | 1.65 | 3.12 | 0.98 | 2.12 | 5.40 | 2.28 | 0.00 | 3.98 | 2.27 | 2.66 |
| 10 | 4.95 | 3.86 | 3.57 | 3.24 | 4.38 | 2.50 | 4.61 | 3.53 | 3.98 | 0.00 | 4.26 | 4.59 |
| 11 | 3.02 | 2.69 | 1.92 | 3.39 | 2.45 | 2.18 | 5.19 | 2.64 | 2.27 | 4.26 | 0.00 | 3.47 |
| 12 | 2.00 | 2.42 | 2.79 | 5.02 | 2.21 | 3.89 | 4.59 | 4.01 | 2.66 | 4.59 | 3.47 | 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 | 0.85 | 0.70 | 0.68 | 0.88 | 0.61 | 0.66 | 0.71 | 0.80 | 0.52 | 0.69 | 0.81 |
| 2 | 0.85 | 1.00 | 0.79 | 0.76 | 0.94 | 0.72 | 0.65 | 0.78 | 0.96 | 0.57 | 0.74 | 0.77 |
| 3 | 0.70 | 0.79 | 1.00 | 0.67 | 0.78 | 0.82 | 0.60 | 0.74 | 0.79 | 0.64 | 0.81 | 0.71 |
| 4 | 0.68 | 0.76 | 0.67 | 1.00 | 0.80 | 0.77 | 0.62 | 0.87 | 0.78 | 0.68 | 0.74 | 0.64 |
| 5 | 0.88 | 0.94 | 0.78 | 0.80 | 1.00 | 0.75 | 0.62 | 0.83 | 0.94 | 0.58 | 0.78 | 0.79 |
| 6 | 0.61 | 0.72 | 0.82 | 0.77 | 0.75 | 1.00 | 0.56 | 0.82 | 0.79 | 0.75 | 0.84 | 0.60 |
| 7 | 0.66 | 0.65 | 0.60 | 0.62 | 0.62 | 0.56 | 1.00 | 0.58 | 0.64 | 0.54 | 0.57 | 0.54 |
| 8 | 0.71 | 0.78 | 0.74 | 0.87 | 0.83 | 0.82 | 0.58 | 1.00 | 0.81 | 0.63 | 0.76 | 0.66 |
| 9 | 0.80 | 0.96 | 0.79 | 0.78 | 0.94 | 0.79 | 0.64 | 0.81 | 1.00 | 0.63 | 0.77 | 0.74 |
| 10 | 0.52 | 0.57 | 0.64 | 0.68 | 0.58 | 0.75 | 0.54 | 0.63 | 0.63 | 1.00 | 0.69 | 0.53 |
| 11 | 0.69 | 0.74 | 0.81 | 0.74 | 0.78 | 0.84 | 0.57 | 0.76 | 0.77 | 0.69 | 1.00 | 0.71 |
| 12 | 0.81 | 0.77 | 0.71 | 0.64 | 0.79 | 0.60 | 0.54 | 0.66 | 0.74 | 0.53 | 0.71 | 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