Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 214.6 | 161.2 | 158.3 | 147.9 | 146.9 | 143.3 | 142.9 | 137.2 | 110.1 | 103.2 | 99.0 | 96.9 |
Cluster size | 263 | 192 | 197 | 189 | 183 | 168 | 175 | 157 | 132 | 110 | 125 | 109 |
Average cluster RMSD | 1.2 | 1.2 | 1.2 | 1.3 | 1.2 | 1.2 | 1.2 | 1.1 | 1.2 | 1.1 | 1.3 | 1.1 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 3.76 | 3.42 | 3.26 | 2.70 | 2.96 | 3.11 | 3.33 | 3.33 | 3.13 | 3.05 | 3.17 | 3.25 |
GDT_TS | 0.61 | 0.61 | 0.62 | 0.68 | 0.66 | 0.63 | 0.61 | 0.62 | 0.64 | 0.63 | 0.62 | 0.66 |
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 | 2.40 | 2.46 | 3.17 | 2.45 | 2.65 | 2.44 | 2.59 | 3.23 | 2.45 | 2.72 | 3.25 |
2 | 2.40 | 0.00 | 2.27 | 3.02 | 2.46 | 2.19 | 2.20 | 2.10 | 3.13 | 2.24 | 2.47 | 3.17 |
3 | 2.46 | 2.27 | 0.00 | 3.01 | 2.32 | 2.20 | 2.65 | 1.97 | 3.07 | 1.87 | 2.02 | 3.30 |
4 | 3.17 | 3.02 | 3.01 | 0.00 | 2.39 | 2.42 | 2.88 | 2.80 | 2.52 | 2.58 | 2.71 | 2.40 |
5 | 2.45 | 2.46 | 2.32 | 2.39 | 0.00 | 2.10 | 2.69 | 2.43 | 2.37 | 2.22 | 2.06 | 2.71 |
6 | 2.65 | 2.19 | 2.20 | 2.42 | 2.10 | 0.00 | 2.50 | 2.12 | 2.54 | 2.14 | 2.12 | 2.74 |
7 | 2.44 | 2.20 | 2.65 | 2.88 | 2.69 | 2.50 | 0.00 | 2.62 | 3.32 | 2.64 | 2.88 | 3.11 |
8 | 2.59 | 2.10 | 1.97 | 2.80 | 2.43 | 2.12 | 2.62 | 0.00 | 2.90 | 1.73 | 1.91 | 3.08 |
9 | 3.23 | 3.13 | 3.07 | 2.52 | 2.37 | 2.54 | 3.32 | 2.90 | 0.00 | 2.77 | 2.60 | 2.22 |
10 | 2.45 | 2.24 | 1.87 | 2.58 | 2.22 | 2.14 | 2.64 | 1.73 | 2.77 | 0.00 | 1.90 | 2.86 |
11 | 2.72 | 2.47 | 2.02 | 2.71 | 2.06 | 2.12 | 2.88 | 1.91 | 2.60 | 1.90 | 0.00 | 2.87 |
12 | 3.25 | 3.17 | 3.30 | 2.40 | 2.71 | 2.74 | 3.11 | 3.08 | 2.22 | 2.86 | 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 | 0.74 | 0.76 | 0.64 | 0.72 | 0.72 | 0.69 | 0.75 | 0.68 | 0.72 | 0.71 | 0.65 |
2 | 0.74 | 1.00 | 0.73 | 0.64 | 0.70 | 0.72 | 0.71 | 0.74 | 0.65 | 0.71 | 0.69 | 0.64 |
3 | 0.76 | 0.73 | 1.00 | 0.65 | 0.76 | 0.72 | 0.68 | 0.77 | 0.69 | 0.79 | 0.77 | 0.66 |
4 | 0.64 | 0.64 | 0.65 | 1.00 | 0.68 | 0.68 | 0.63 | 0.66 | 0.68 | 0.68 | 0.66 | 0.73 |
5 | 0.72 | 0.70 | 0.76 | 0.68 | 1.00 | 0.74 | 0.68 | 0.73 | 0.73 | 0.74 | 0.76 | 0.69 |
6 | 0.72 | 0.72 | 0.72 | 0.68 | 0.74 | 1.00 | 0.70 | 0.73 | 0.70 | 0.71 | 0.72 | 0.71 |
7 | 0.69 | 0.71 | 0.68 | 0.63 | 0.68 | 0.70 | 1.00 | 0.69 | 0.66 | 0.67 | 0.65 | 0.63 |
8 | 0.75 | 0.74 | 0.77 | 0.66 | 0.73 | 0.73 | 0.69 | 1.00 | 0.70 | 0.80 | 0.77 | 0.67 |
9 | 0.68 | 0.65 | 0.69 | 0.68 | 0.73 | 0.70 | 0.66 | 0.70 | 1.00 | 0.69 | 0.70 | 0.74 |
10 | 0.72 | 0.71 | 0.79 | 0.68 | 0.74 | 0.71 | 0.67 | 0.80 | 0.69 | 1.00 | 0.77 | 0.67 |
11 | 0.71 | 0.69 | 0.77 | 0.66 | 0.76 | 0.72 | 0.65 | 0.77 | 0.70 | 0.77 | 1.00 | 0.69 |
12 | 0.65 | 0.64 | 0.66 | 0.73 | 0.69 | 0.71 | 0.63 | 0.67 | 0.74 | 0.67 | 0.69 | 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