| Project Name | controlmqb |
| Project Name | controlmqb |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 223.8 | 205.1 | 199.9 | 171.7 | 133.7 | 121.8 | 115.7 | 81.9 | 72.2 | 67.7 | 61.3 | 47.9 |
| Cluster size | 242 | 282 | 259 | 177 | 216 | 195 | 124 | 106 | 100 | 92 | 109 | 98 |
| Average cluster RMSD | 1.1 | 1.4 | 1.3 | 1.0 | 1.6 | 1.6 | 1.1 | 1.3 | 1.4 | 1.4 | 1.8 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.73 | 5.13 | 4.94 | 6.45 | 5.34 | 5.06 | 4.01 | 4.93 | 4.55 | 5.54 | 4.82 | 5.42 |
| GDT_TS | 0.55 | 0.60 | 0.52 | 0.51 | 0.59 | 0.60 | 0.64 | 0.55 | 0.61 | 0.53 | 0.60 | 0.58 |
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 | 1.76 | 1.49 | 1.35 | 2.87 | 2.84 | 3.79 | 3.96 | 4.16 | 2.93 | 3.35 | 2.15 |
| 2 | 1.76 | 0.00 | 1.71 | 2.62 | 2.82 | 2.60 | 2.84 | 3.63 | 3.61 | 2.00 | 3.08 | 1.26 |
| 3 | 1.49 | 1.71 | 0.00 | 2.20 | 2.74 | 2.49 | 3.09 | 3.62 | 3.52 | 3.02 | 2.84 | 2.31 |
| 4 | 1.35 | 2.62 | 2.20 | 0.00 | 3.58 | 3.60 | 4.71 | 4.88 | 5.08 | 3.68 | 4.18 | 2.92 |
| 5 | 2.87 | 2.82 | 2.74 | 3.58 | 0.00 | 1.13 | 2.89 | 2.24 | 2.56 | 2.39 | 1.48 | 2.45 |
| 6 | 2.84 | 2.60 | 2.49 | 3.60 | 1.13 | 0.00 | 2.44 | 2.32 | 2.43 | 2.29 | 1.38 | 2.38 |
| 7 | 3.79 | 2.84 | 3.09 | 4.71 | 2.89 | 2.44 | 0.00 | 2.43 | 1.83 | 2.47 | 2.56 | 2.86 |
| 8 | 3.96 | 3.63 | 3.62 | 4.88 | 2.24 | 2.32 | 2.43 | 0.00 | 1.72 | 3.05 | 1.69 | 3.38 |
| 9 | 4.16 | 3.61 | 3.52 | 5.08 | 2.56 | 2.43 | 1.83 | 1.72 | 0.00 | 2.98 | 2.14 | 3.34 |
| 10 | 2.93 | 2.00 | 3.02 | 3.68 | 2.39 | 2.29 | 2.47 | 3.05 | 2.98 | 0.00 | 2.96 | 1.51 |
| 11 | 3.35 | 3.08 | 2.84 | 4.18 | 1.48 | 1.38 | 2.56 | 1.69 | 2.14 | 2.96 | 0.00 | 2.97 |
| 12 | 2.15 | 1.26 | 2.31 | 2.92 | 2.45 | 2.38 | 2.86 | 3.38 | 3.34 | 1.51 | 2.97 | 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 | 0.81 | 0.84 | 0.88 | 0.71 | 0.69 | 0.61 | 0.63 | 0.64 | 0.67 | 0.68 | 0.71 |
| 2 | 0.81 | 1.00 | 0.79 | 0.67 | 0.74 | 0.75 | 0.74 | 0.71 | 0.72 | 0.84 | 0.74 | 0.87 |
| 3 | 0.84 | 0.79 | 1.00 | 0.78 | 0.69 | 0.71 | 0.68 | 0.65 | 0.65 | 0.67 | 0.77 | 0.73 |
| 4 | 0.88 | 0.67 | 0.78 | 1.00 | 0.66 | 0.65 | 0.58 | 0.58 | 0.58 | 0.56 | 0.62 | 0.61 |
| 5 | 0.71 | 0.74 | 0.69 | 0.66 | 1.00 | 0.95 | 0.73 | 0.76 | 0.73 | 0.76 | 0.84 | 0.83 |
| 6 | 0.69 | 0.75 | 0.71 | 0.65 | 0.95 | 1.00 | 0.78 | 0.78 | 0.78 | 0.77 | 0.89 | 0.80 |
| 7 | 0.61 | 0.74 | 0.68 | 0.58 | 0.73 | 0.78 | 1.00 | 0.78 | 0.83 | 0.77 | 0.75 | 0.74 |
| 8 | 0.63 | 0.71 | 0.65 | 0.58 | 0.76 | 0.78 | 0.78 | 1.00 | 0.90 | 0.74 | 0.84 | 0.76 |
| 9 | 0.64 | 0.72 | 0.65 | 0.58 | 0.73 | 0.78 | 0.83 | 0.90 | 1.00 | 0.72 | 0.81 | 0.75 |
| 10 | 0.67 | 0.84 | 0.67 | 0.56 | 0.76 | 0.77 | 0.77 | 0.74 | 0.72 | 1.00 | 0.69 | 0.88 |
| 11 | 0.68 | 0.74 | 0.77 | 0.62 | 0.84 | 0.89 | 0.75 | 0.84 | 0.81 | 0.69 | 1.00 | 0.76 |
| 12 | 0.71 | 0.87 | 0.73 | 0.61 | 0.83 | 0.80 | 0.74 | 0.76 | 0.75 | 0.88 | 0.76 | 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