Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 186.5 | 151.0 | 147.5 | 125.6 | 114.2 | 98.3 | 94.5 | 91.8 | 63.1 | 62.0 | 55.0 | 50.4 |
Cluster size | 289 | 245 | 239 | 180 | 181 | 162 | 165 | 147 | 110 | 101 | 84 | 97 |
Average cluster RMSD | 1.5 | 1.6 | 1.6 | 1.4 | 1.6 | 1.6 | 1.7 | 1.6 | 1.7 | 1.6 | 1.5 | 1.9 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 2.62 | 2.40 | 2.35 | 3.02 | 2.29 | 2.74 | 2.42 | 2.85 | 2.65 | 2.72 | 2.12 | 3.25 |
GDT_TS | 0.68 | 0.73 | 0.79 | 0.69 | 0.72 | 0.71 | 0.75 | 0.69 | 0.70 | 0.70 | 0.75 | 0.69 |
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 | 2.15 | 1.92 | 3.10 | 2.06 | 2.59 | 2.11 | 2.74 | 1.85 | 2.70 | 2.37 | 2.83 |
2 | 2.15 | 0.00 | 1.75 | 2.73 | 1.88 | 2.29 | 1.91 | 2.32 | 1.91 | 2.65 | 2.18 | 2.70 |
3 | 1.92 | 1.75 | 0.00 | 2.61 | 1.89 | 2.20 | 1.57 | 2.29 | 1.83 | 2.15 | 1.85 | 2.56 |
4 | 3.10 | 2.73 | 2.61 | 0.00 | 2.78 | 2.04 | 2.14 | 1.70 | 2.91 | 2.26 | 2.98 | 2.51 |
5 | 2.06 | 1.88 | 1.89 | 2.78 | 0.00 | 2.45 | 1.62 | 2.35 | 1.77 | 2.46 | 1.87 | 2.69 |
6 | 2.59 | 2.29 | 2.20 | 2.04 | 2.45 | 0.00 | 2.06 | 1.92 | 2.52 | 2.17 | 2.69 | 2.31 |
7 | 2.11 | 1.91 | 1.57 | 2.14 | 1.62 | 2.06 | 0.00 | 1.83 | 1.75 | 2.04 | 1.91 | 2.25 |
8 | 2.74 | 2.32 | 2.29 | 1.70 | 2.35 | 1.92 | 1.83 | 0.00 | 2.60 | 1.90 | 2.65 | 2.24 |
9 | 1.85 | 1.91 | 1.83 | 2.91 | 1.77 | 2.52 | 1.75 | 2.60 | 0.00 | 2.65 | 2.17 | 2.52 |
10 | 2.70 | 2.65 | 2.15 | 2.26 | 2.46 | 2.17 | 2.04 | 1.90 | 2.65 | 0.00 | 2.52 | 2.48 |
11 | 2.37 | 2.18 | 1.85 | 2.98 | 1.87 | 2.69 | 1.91 | 2.65 | 2.17 | 2.52 | 0.00 | 3.17 |
12 | 2.83 | 2.70 | 2.56 | 2.51 | 2.69 | 2.31 | 2.25 | 2.24 | 2.52 | 2.48 | 3.17 | 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 | 0.73 | 0.77 | 0.65 | 0.76 | 0.69 | 0.74 | 0.73 | 0.79 | 0.71 | 0.75 | 0.72 |
2 | 0.73 | 1.00 | 0.81 | 0.73 | 0.78 | 0.76 | 0.78 | 0.78 | 0.78 | 0.75 | 0.79 | 0.75 |
3 | 0.77 | 0.81 | 1.00 | 0.71 | 0.78 | 0.75 | 0.81 | 0.74 | 0.81 | 0.79 | 0.84 | 0.74 |
4 | 0.65 | 0.73 | 0.71 | 1.00 | 0.74 | 0.80 | 0.79 | 0.80 | 0.70 | 0.75 | 0.70 | 0.76 |
5 | 0.76 | 0.78 | 0.78 | 0.74 | 1.00 | 0.73 | 0.84 | 0.77 | 0.82 | 0.74 | 0.79 | 0.79 |
6 | 0.69 | 0.76 | 0.75 | 0.80 | 0.73 | 1.00 | 0.77 | 0.77 | 0.73 | 0.74 | 0.75 | 0.79 |
7 | 0.74 | 0.78 | 0.81 | 0.79 | 0.84 | 0.77 | 1.00 | 0.82 | 0.83 | 0.75 | 0.78 | 0.80 |
8 | 0.73 | 0.78 | 0.74 | 0.80 | 0.77 | 0.77 | 0.82 | 1.00 | 0.73 | 0.79 | 0.72 | 0.79 |
9 | 0.79 | 0.78 | 0.81 | 0.70 | 0.82 | 0.73 | 0.83 | 0.73 | 1.00 | 0.70 | 0.78 | 0.77 |
10 | 0.71 | 0.75 | 0.79 | 0.75 | 0.74 | 0.74 | 0.75 | 0.79 | 0.70 | 1.00 | 0.75 | 0.72 |
11 | 0.75 | 0.79 | 0.84 | 0.70 | 0.79 | 0.75 | 0.78 | 0.72 | 0.78 | 0.75 | 1.00 | 0.73 |
12 | 0.72 | 0.75 | 0.74 | 0.76 | 0.79 | 0.79 | 0.80 | 0.79 | 0.77 | 0.72 | 0.73 | 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