Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 192.1 | 136.9 | 122.7 | 117.0 | 115.9 | 110.9 | 97.4 | 92.7 | 92.6 | 78.9 | 78.1 | 58.0 |
Cluster size | 307 | 226 | 181 | 178 | 193 | 173 | 154 | 136 | 138 | 115 | 118 | 81 |
Average cluster RMSD | 1.6 | 1.7 | 1.5 | 1.5 | 1.7 | 1.6 | 1.6 | 1.5 | 1.5 | 1.5 | 1.5 | 1.4 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 3.11 | 2.98 | 3.62 | 3.40 | 2.94 | 3.24 | 3.26 | 2.84 | 2.67 | 2.96 | 3.49 | 3.05 |
GDT_TS | 0.59 | 0.64 | 0.56 | 0.58 | 0.63 | 0.59 | 0.59 | 0.63 | 0.65 | 0.59 | 0.56 | 0.60 |
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 | 2.96 | 2.80 | 2.85 | 2.53 | 2.69 | 2.52 | 2.78 | 2.68 | 2.74 | 2.63 | 2.70 |
2 | 2.96 | 0.00 | 3.26 | 3.60 | 3.02 | 3.04 | 3.07 | 3.07 | 2.85 | 3.17 | 3.16 | 3.26 |
3 | 2.80 | 3.26 | 0.00 | 2.39 | 3.03 | 2.53 | 2.27 | 2.66 | 2.88 | 3.15 | 2.58 | 2.68 |
4 | 2.85 | 3.60 | 2.39 | 0.00 | 2.90 | 2.68 | 2.44 | 2.89 | 2.97 | 3.32 | 2.85 | 2.44 |
5 | 2.53 | 3.02 | 3.03 | 2.90 | 0.00 | 2.94 | 2.63 | 2.55 | 2.26 | 2.64 | 2.76 | 2.59 |
6 | 2.69 | 3.04 | 2.53 | 2.68 | 2.94 | 0.00 | 2.41 | 2.83 | 2.86 | 3.21 | 2.62 | 2.59 |
7 | 2.52 | 3.07 | 2.27 | 2.44 | 2.63 | 2.41 | 0.00 | 2.57 | 2.70 | 2.88 | 2.60 | 2.43 |
8 | 2.78 | 3.07 | 2.66 | 2.89 | 2.55 | 2.83 | 2.57 | 0.00 | 2.18 | 2.37 | 2.89 | 2.75 |
9 | 2.68 | 2.85 | 2.88 | 2.97 | 2.26 | 2.86 | 2.70 | 2.18 | 0.00 | 2.61 | 2.96 | 2.80 |
10 | 2.74 | 3.17 | 3.15 | 3.32 | 2.64 | 3.21 | 2.88 | 2.37 | 2.61 | 0.00 | 3.16 | 2.93 |
11 | 2.63 | 3.16 | 2.58 | 2.85 | 2.76 | 2.62 | 2.60 | 2.89 | 2.96 | 3.16 | 0.00 | 2.87 |
12 | 2.70 | 3.26 | 2.68 | 2.44 | 2.59 | 2.59 | 2.43 | 2.75 | 2.80 | 2.93 | 2.87 | 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 | 0.62 | 0.65 | 0.67 | 0.68 | 0.68 | 0.69 | 0.64 | 0.66 | 0.63 | 0.68 | 0.66 |
2 | 0.62 | 1.00 | 0.59 | 0.60 | 0.65 | 0.61 | 0.62 | 0.62 | 0.65 | 0.61 | 0.61 | 0.59 |
3 | 0.65 | 0.59 | 1.00 | 0.72 | 0.64 | 0.69 | 0.71 | 0.68 | 0.61 | 0.61 | 0.66 | 0.67 |
4 | 0.67 | 0.60 | 0.72 | 1.00 | 0.68 | 0.69 | 0.71 | 0.66 | 0.62 | 0.60 | 0.65 | 0.71 |
5 | 0.68 | 0.65 | 0.64 | 0.68 | 1.00 | 0.65 | 0.69 | 0.67 | 0.70 | 0.68 | 0.68 | 0.67 |
6 | 0.68 | 0.61 | 0.69 | 0.69 | 0.65 | 1.00 | 0.71 | 0.65 | 0.62 | 0.59 | 0.68 | 0.67 |
7 | 0.69 | 0.62 | 0.71 | 0.71 | 0.69 | 0.71 | 1.00 | 0.68 | 0.66 | 0.63 | 0.69 | 0.70 |
8 | 0.64 | 0.62 | 0.68 | 0.66 | 0.67 | 0.65 | 0.68 | 1.00 | 0.70 | 0.70 | 0.64 | 0.65 |
9 | 0.66 | 0.65 | 0.61 | 0.62 | 0.70 | 0.62 | 0.66 | 0.70 | 1.00 | 0.67 | 0.63 | 0.62 |
10 | 0.63 | 0.61 | 0.61 | 0.60 | 0.68 | 0.59 | 0.63 | 0.70 | 0.67 | 1.00 | 0.61 | 0.61 |
11 | 0.68 | 0.61 | 0.66 | 0.65 | 0.68 | 0.68 | 0.69 | 0.64 | 0.63 | 0.61 | 1.00 | 0.65 |
12 | 0.66 | 0.59 | 0.67 | 0.71 | 0.67 | 0.67 | 0.70 | 0.65 | 0.62 | 0.61 | 0.65 | 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