Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 180.0 | 163.1 | 147.1 | 142.0 | 133.4 | 129.2 | 129.1 | 107.2 | 95.1 | 90.3 | 49.1 | 48.5 |
Cluster size | 252 | 242 | 211 | 204 | 188 | 178 | 189 | 143 | 132 | 118 | 70 | 73 |
Average cluster RMSD | 1.4 | 1.5 | 1.4 | 1.4 | 1.4 | 1.4 | 1.5 | 1.3 | 1.4 | 1.3 | 1.4 | 1.5 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 2.93 | 2.78 | 2.77 | 2.60 | 2.81 | 3.16 | 2.66 | 2.88 | 2.73 | 2.66 | 2.75 | 2.61 |
GDT_TS | 0.64 | 0.63 | 0.64 | 0.67 | 0.63 | 0.59 | 0.65 | 0.62 | 0.66 | 0.65 | 0.67 | 0.65 |
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 | 2.28 | 2.48 | 2.37 | 2.25 | 2.50 | 2.29 | 2.54 | 2.60 | 2.17 | 2.70 | 2.71 |
2 | 2.28 | 0.00 | 2.35 | 2.48 | 1.98 | 2.36 | 2.08 | 2.37 | 2.67 | 2.31 | 2.75 | 2.50 |
3 | 2.48 | 2.35 | 0.00 | 2.31 | 2.22 | 2.64 | 2.06 | 2.66 | 2.30 | 2.32 | 2.88 | 2.59 |
4 | 2.37 | 2.48 | 2.31 | 0.00 | 2.48 | 2.90 | 2.24 | 2.50 | 2.40 | 2.20 | 2.65 | 2.59 |
5 | 2.25 | 1.98 | 2.22 | 2.48 | 0.00 | 2.27 | 1.89 | 2.22 | 2.59 | 1.99 | 2.82 | 2.50 |
6 | 2.50 | 2.36 | 2.64 | 2.90 | 2.27 | 0.00 | 2.41 | 2.59 | 3.26 | 2.54 | 2.89 | 2.63 |
7 | 2.29 | 2.08 | 2.06 | 2.24 | 1.89 | 2.41 | 0.00 | 2.27 | 2.24 | 2.19 | 2.60 | 2.30 |
8 | 2.54 | 2.37 | 2.66 | 2.50 | 2.22 | 2.59 | 2.27 | 0.00 | 2.57 | 2.13 | 2.53 | 2.62 |
9 | 2.60 | 2.67 | 2.30 | 2.40 | 2.59 | 3.26 | 2.24 | 2.57 | 0.00 | 2.30 | 2.73 | 2.63 |
10 | 2.17 | 2.31 | 2.32 | 2.20 | 1.99 | 2.54 | 2.19 | 2.13 | 2.30 | 0.00 | 2.58 | 2.62 |
11 | 2.70 | 2.75 | 2.88 | 2.65 | 2.82 | 2.89 | 2.60 | 2.53 | 2.73 | 2.58 | 0.00 | 2.45 |
12 | 2.71 | 2.50 | 2.59 | 2.59 | 2.50 | 2.63 | 2.30 | 2.62 | 2.63 | 2.62 | 2.45 | 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 | 0.71 | 0.72 | 0.74 | 0.72 | 0.71 | 0.72 | 0.71 | 0.71 | 0.72 | 0.70 | 0.70 |
2 | 0.71 | 1.00 | 0.70 | 0.71 | 0.76 | 0.71 | 0.75 | 0.75 | 0.70 | 0.73 | 0.69 | 0.71 |
3 | 0.72 | 0.70 | 1.00 | 0.71 | 0.73 | 0.70 | 0.75 | 0.70 | 0.76 | 0.71 | 0.68 | 0.71 |
4 | 0.74 | 0.71 | 0.71 | 1.00 | 0.71 | 0.72 | 0.76 | 0.72 | 0.72 | 0.73 | 0.69 | 0.70 |
5 | 0.72 | 0.76 | 0.73 | 0.71 | 1.00 | 0.72 | 0.77 | 0.76 | 0.71 | 0.78 | 0.69 | 0.70 |
6 | 0.71 | 0.71 | 0.70 | 0.72 | 0.72 | 1.00 | 0.73 | 0.69 | 0.67 | 0.71 | 0.69 | 0.71 |
7 | 0.72 | 0.75 | 0.75 | 0.76 | 0.77 | 0.73 | 1.00 | 0.70 | 0.74 | 0.72 | 0.68 | 0.73 |
8 | 0.71 | 0.75 | 0.70 | 0.72 | 0.76 | 0.69 | 0.70 | 1.00 | 0.70 | 0.77 | 0.69 | 0.70 |
9 | 0.71 | 0.70 | 0.76 | 0.72 | 0.71 | 0.67 | 0.74 | 0.70 | 1.00 | 0.72 | 0.69 | 0.71 |
10 | 0.72 | 0.73 | 0.71 | 0.73 | 0.78 | 0.71 | 0.72 | 0.77 | 0.72 | 1.00 | 0.71 | 0.69 |
11 | 0.70 | 0.69 | 0.68 | 0.69 | 0.69 | 0.69 | 0.68 | 0.69 | 0.69 | 0.71 | 1.00 | 0.74 |
12 | 0.70 | 0.71 | 0.71 | 0.70 | 0.70 | 0.71 | 0.73 | 0.70 | 0.71 | 0.69 | 0.74 | 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