Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 164.5 | 135.9 | 117.3 | 115.8 | 110.1 | 101.6 | 100.4 | 97.8 | 92.3 | 85.4 | 42.7 | 38.8 |
Cluster size | 232 | 177 | 206 | 231 | 161 | 205 | 181 | 168 | 158 | 169 | 64 | 48 |
Average cluster RMSD | 1.4 | 1.3 | 1.8 | 2.0 | 1.5 | 2.0 | 1.8 | 1.7 | 1.7 | 2.0 | 1.5 | 1.2 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 3.96 | 3.77 | 3.17 | 3.48 | 2.84 | 3.70 | 3.79 | 3.59 | 4.14 | 3.69 | 3.86 | 3.58 |
GDT_TS | 0.59 | 0.61 | 0.62 | 0.66 | 0.65 | 0.62 | 0.64 | 0.61 | 0.65 | 0.64 | 0.65 | 0.64 |
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 | 2.00 | 3.37 | 2.83 | 3.74 | 4.32 | 3.17 | 2.48 | 4.38 | 4.25 | 3.86 | 2.57 |
2 | 2.00 | 0.00 | 2.95 | 2.68 | 3.58 | 4.01 | 3.06 | 2.11 | 4.22 | 3.96 | 3.76 | 2.16 |
3 | 3.37 | 2.95 | 0.00 | 2.36 | 2.41 | 2.63 | 3.02 | 2.71 | 3.60 | 3.10 | 2.92 | 2.91 |
4 | 2.83 | 2.68 | 2.36 | 0.00 | 2.90 | 2.98 | 2.47 | 2.38 | 3.21 | 3.00 | 2.98 | 2.72 |
5 | 3.74 | 3.58 | 2.41 | 2.90 | 0.00 | 3.27 | 3.65 | 3.22 | 4.06 | 3.67 | 3.34 | 3.31 |
6 | 4.32 | 4.01 | 2.63 | 2.98 | 3.27 | 0.00 | 3.07 | 3.79 | 2.84 | 2.95 | 2.53 | 3.82 |
7 | 3.17 | 3.06 | 3.02 | 2.47 | 3.65 | 3.07 | 0.00 | 2.94 | 2.88 | 2.65 | 2.84 | 3.16 |
8 | 2.48 | 2.11 | 2.71 | 2.38 | 3.22 | 3.79 | 2.94 | 0.00 | 4.26 | 3.72 | 3.62 | 2.44 |
9 | 4.38 | 4.22 | 3.60 | 3.21 | 4.06 | 2.84 | 2.88 | 4.26 | 0.00 | 3.03 | 2.76 | 4.11 |
10 | 4.25 | 3.96 | 3.10 | 3.00 | 3.67 | 2.95 | 2.65 | 3.72 | 3.03 | 0.00 | 3.23 | 3.95 |
11 | 3.86 | 3.76 | 2.92 | 2.98 | 3.34 | 2.53 | 2.84 | 3.62 | 2.76 | 3.23 | 0.00 | 3.38 |
12 | 2.57 | 2.16 | 2.91 | 2.72 | 3.31 | 3.82 | 3.16 | 2.44 | 4.11 | 3.95 | 3.38 | 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 | 0.67 | 0.67 | 0.64 | 0.63 | 0.62 | 0.69 | 0.58 | 0.61 | 0.64 | 0.69 |
2 | 0.73 | 1.00 | 0.68 | 0.71 | 0.68 | 0.64 | 0.67 | 0.75 | 0.62 | 0.66 | 0.67 | 0.76 |
3 | 0.67 | 0.68 | 1.00 | 0.73 | 0.72 | 0.70 | 0.66 | 0.70 | 0.66 | 0.65 | 0.70 | 0.68 |
4 | 0.67 | 0.71 | 0.73 | 1.00 | 0.69 | 0.70 | 0.71 | 0.74 | 0.69 | 0.69 | 0.71 | 0.71 |
5 | 0.64 | 0.68 | 0.72 | 0.69 | 1.00 | 0.66 | 0.64 | 0.68 | 0.66 | 0.63 | 0.69 | 0.66 |
6 | 0.63 | 0.64 | 0.70 | 0.70 | 0.66 | 1.00 | 0.65 | 0.67 | 0.67 | 0.64 | 0.72 | 0.65 |
7 | 0.62 | 0.67 | 0.66 | 0.71 | 0.64 | 0.65 | 1.00 | 0.71 | 0.68 | 0.73 | 0.68 | 0.67 |
8 | 0.69 | 0.75 | 0.70 | 0.74 | 0.68 | 0.67 | 0.71 | 1.00 | 0.62 | 0.69 | 0.68 | 0.71 |
9 | 0.58 | 0.62 | 0.66 | 0.69 | 0.66 | 0.67 | 0.68 | 0.62 | 1.00 | 0.64 | 0.72 | 0.62 |
10 | 0.61 | 0.66 | 0.65 | 0.69 | 0.63 | 0.64 | 0.73 | 0.69 | 0.64 | 1.00 | 0.66 | 0.67 |
11 | 0.64 | 0.67 | 0.70 | 0.71 | 0.69 | 0.72 | 0.68 | 0.68 | 0.72 | 0.66 | 1.00 | 0.68 |
12 | 0.69 | 0.76 | 0.68 | 0.71 | 0.66 | 0.65 | 0.67 | 0.71 | 0.62 | 0.67 | 0.68 | 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