Project Name | CDKA |
Project Name | CDKA |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 183.3 | 159.2 | 139.7 | 137.0 | 133.2 | 123.6 | 104.2 | 101.9 | 83.2 | 81.4 | 67.6 | 64.7 |
Cluster size | 259 | 232 | 206 | 219 | 199 | 171 | 143 | 147 | 109 | 132 | 91 | 92 |
Average cluster RMSD | 1.4 | 1.5 | 1.5 | 1.6 | 1.5 | 1.4 | 1.4 | 1.4 | 1.3 | 1.6 | 1.3 | 1.4 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 3.12 | 3.27 | 3.38 | 2.93 | 2.60 | 3.39 | 3.57 | 3.18 | 3.51 | 3.15 | 2.88 | 3.24 |
GDT_TS | 0.62 | 0.64 | 0.57 | 0.67 | 0.67 | 0.61 | 0.60 | 0.64 | 0.65 | 0.61 | 0.66 | 0.59 |
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 | 2.34 | 1.90 | 2.26 | 2.77 | 2.86 | 3.22 | 2.80 | 2.34 | 2.43 | 2.60 | 2.19 |
2 | 2.34 | 0.00 | 2.67 | 2.58 | 2.68 | 2.57 | 2.62 | 2.70 | 2.60 | 2.04 | 2.99 | 2.54 |
3 | 1.90 | 2.67 | 0.00 | 2.60 | 3.03 | 2.78 | 3.12 | 2.88 | 2.51 | 2.50 | 2.91 | 2.17 |
4 | 2.26 | 2.58 | 2.60 | 0.00 | 2.61 | 2.84 | 3.01 | 2.82 | 2.59 | 2.59 | 2.23 | 2.65 |
5 | 2.77 | 2.68 | 3.03 | 2.61 | 0.00 | 2.93 | 3.16 | 2.86 | 2.94 | 2.72 | 2.74 | 2.93 |
6 | 2.86 | 2.57 | 2.78 | 2.84 | 2.93 | 0.00 | 2.32 | 2.25 | 2.83 | 2.08 | 3.30 | 3.21 |
7 | 3.22 | 2.62 | 3.12 | 3.01 | 3.16 | 2.32 | 0.00 | 2.61 | 3.06 | 2.59 | 3.36 | 3.46 |
8 | 2.80 | 2.70 | 2.88 | 2.82 | 2.86 | 2.25 | 2.61 | 0.00 | 2.78 | 2.55 | 3.04 | 3.10 |
9 | 2.34 | 2.60 | 2.51 | 2.59 | 2.94 | 2.83 | 3.06 | 2.78 | 0.00 | 2.76 | 3.06 | 2.77 |
10 | 2.43 | 2.04 | 2.50 | 2.59 | 2.72 | 2.08 | 2.59 | 2.55 | 2.76 | 0.00 | 2.92 | 2.55 |
11 | 2.60 | 2.99 | 2.91 | 2.23 | 2.74 | 3.30 | 3.36 | 3.04 | 3.06 | 2.92 | 0.00 | 2.78 |
12 | 2.19 | 2.54 | 2.17 | 2.65 | 2.93 | 3.21 | 3.46 | 3.10 | 2.77 | 2.55 | 2.78 | 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 | 0.70 | 0.76 | 0.71 | 0.64 | 0.66 | 0.62 | 0.65 | 0.73 | 0.69 | 0.71 | 0.71 |
2 | 0.70 | 1.00 | 0.64 | 0.68 | 0.67 | 0.72 | 0.70 | 0.67 | 0.70 | 0.74 | 0.65 | 0.69 |
3 | 0.76 | 0.64 | 1.00 | 0.66 | 0.61 | 0.65 | 0.63 | 0.63 | 0.67 | 0.67 | 0.65 | 0.73 |
4 | 0.71 | 0.68 | 0.66 | 1.00 | 0.68 | 0.65 | 0.63 | 0.67 | 0.72 | 0.67 | 0.76 | 0.66 |
5 | 0.64 | 0.67 | 0.61 | 0.68 | 1.00 | 0.66 | 0.65 | 0.66 | 0.66 | 0.65 | 0.66 | 0.61 |
6 | 0.66 | 0.72 | 0.65 | 0.65 | 0.66 | 1.00 | 0.72 | 0.72 | 0.71 | 0.76 | 0.61 | 0.64 |
7 | 0.62 | 0.70 | 0.63 | 0.63 | 0.65 | 0.72 | 1.00 | 0.68 | 0.68 | 0.69 | 0.61 | 0.63 |
8 | 0.65 | 0.67 | 0.63 | 0.67 | 0.66 | 0.72 | 0.68 | 1.00 | 0.69 | 0.70 | 0.64 | 0.64 |
9 | 0.73 | 0.70 | 0.67 | 0.72 | 0.66 | 0.71 | 0.68 | 0.69 | 1.00 | 0.70 | 0.69 | 0.69 |
10 | 0.69 | 0.74 | 0.67 | 0.67 | 0.65 | 0.76 | 0.69 | 0.70 | 0.70 | 1.00 | 0.64 | 0.68 |
11 | 0.71 | 0.65 | 0.65 | 0.76 | 0.66 | 0.61 | 0.61 | 0.64 | 0.69 | 0.64 | 1.00 | 0.66 |
12 | 0.71 | 0.69 | 0.73 | 0.66 | 0.61 | 0.64 | 0.63 | 0.64 | 0.69 | 0.68 | 0.66 | 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