Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 257.3 | 166.0 | 165.7 | 146.0 | 145.8 | 136.7 | 121.1 | 111.0 | 109.2 | 90.7 | 73.7 | 63.7 |
Cluster size | 339 | 208 | 205 | 174 | 181 | 171 | 150 | 146 | 138 | 115 | 91 | 82 |
Average cluster RMSD | 1.3 | 1.3 | 1.2 | 1.2 | 1.2 | 1.3 | 1.2 | 1.3 | 1.3 | 1.3 | 1.2 | 1.3 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 3.09 | 3.10 | 2.83 | 3.05 | 2.73 | 2.93 | 3.07 | 2.55 | 2.87 | 2.81 | 2.65 | 3.09 |
GDT_TS | 0.60 | 0.61 | 0.64 | 0.61 | 0.66 | 0.63 | 0.61 | 0.69 | 0.67 | 0.63 | 0.63 | 0.63 |
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 | 2.10 | 2.27 | 2.09 | 2.26 | 2.25 | 2.73 | 2.74 | 2.18 | 2.84 | 2.28 |
2 | 2.15 | 0.00 | 2.15 | 2.24 | 2.17 | 2.56 | 2.26 | 2.94 | 2.57 | 2.25 | 2.71 | 2.34 |
3 | 2.10 | 2.15 | 0.00 | 2.30 | 2.19 | 2.28 | 2.25 | 2.69 | 2.71 | 2.46 | 2.84 | 2.32 |
4 | 2.27 | 2.24 | 2.30 | 0.00 | 2.08 | 2.55 | 1.76 | 2.55 | 2.71 | 2.20 | 2.67 | 2.38 |
5 | 2.09 | 2.17 | 2.19 | 2.08 | 0.00 | 2.57 | 2.15 | 2.31 | 2.45 | 2.19 | 2.33 | 2.55 |
6 | 2.26 | 2.56 | 2.28 | 2.55 | 2.57 | 0.00 | 2.56 | 2.85 | 2.86 | 2.30 | 2.90 | 2.02 |
7 | 2.25 | 2.26 | 2.25 | 1.76 | 2.15 | 2.56 | 0.00 | 2.41 | 2.58 | 2.13 | 2.62 | 2.42 |
8 | 2.73 | 2.94 | 2.69 | 2.55 | 2.31 | 2.85 | 2.41 | 0.00 | 2.26 | 2.39 | 2.35 | 2.90 |
9 | 2.74 | 2.57 | 2.71 | 2.71 | 2.45 | 2.86 | 2.58 | 2.26 | 0.00 | 2.45 | 2.49 | 2.83 |
10 | 2.18 | 2.25 | 2.46 | 2.20 | 2.19 | 2.30 | 2.13 | 2.39 | 2.45 | 0.00 | 2.24 | 2.39 |
11 | 2.84 | 2.71 | 2.84 | 2.67 | 2.33 | 2.90 | 2.62 | 2.35 | 2.49 | 2.24 | 0.00 | 3.07 |
12 | 2.28 | 2.34 | 2.32 | 2.38 | 2.55 | 2.02 | 2.42 | 2.90 | 2.83 | 2.39 | 3.07 | 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 | 0.72 | 0.70 | 0.74 | 0.71 | 0.73 | 0.66 | 0.66 | 0.73 | 0.64 | 0.70 |
2 | 0.73 | 1.00 | 0.73 | 0.72 | 0.73 | 0.68 | 0.74 | 0.65 | 0.67 | 0.74 | 0.67 | 0.71 |
3 | 0.72 | 0.73 | 1.00 | 0.71 | 0.71 | 0.73 | 0.71 | 0.64 | 0.64 | 0.70 | 0.63 | 0.73 |
4 | 0.70 | 0.72 | 0.71 | 1.00 | 0.74 | 0.66 | 0.78 | 0.67 | 0.65 | 0.72 | 0.64 | 0.69 |
5 | 0.74 | 0.73 | 0.71 | 0.74 | 1.00 | 0.68 | 0.74 | 0.72 | 0.68 | 0.73 | 0.69 | 0.67 |
6 | 0.71 | 0.68 | 0.73 | 0.66 | 0.68 | 1.00 | 0.67 | 0.62 | 0.62 | 0.69 | 0.62 | 0.77 |
7 | 0.73 | 0.74 | 0.71 | 0.78 | 0.74 | 0.67 | 1.00 | 0.70 | 0.67 | 0.76 | 0.66 | 0.70 |
8 | 0.66 | 0.65 | 0.64 | 0.67 | 0.72 | 0.62 | 0.70 | 1.00 | 0.74 | 0.72 | 0.71 | 0.63 |
9 | 0.66 | 0.67 | 0.64 | 0.65 | 0.68 | 0.62 | 0.67 | 0.74 | 1.00 | 0.71 | 0.71 | 0.62 |
10 | 0.73 | 0.74 | 0.70 | 0.72 | 0.73 | 0.69 | 0.76 | 0.72 | 0.71 | 1.00 | 0.72 | 0.68 |
11 | 0.64 | 0.67 | 0.63 | 0.64 | 0.69 | 0.62 | 0.66 | 0.71 | 0.71 | 0.72 | 1.00 | 0.59 |
12 | 0.70 | 0.71 | 0.73 | 0.69 | 0.67 | 0.77 | 0.70 | 0.63 | 0.62 | 0.68 | 0.59 | 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