Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 134.3 | 131.5 | 114.3 | 112.0 | 105.6 | 100.9 | 99.1 | 89.5 | 88.9 | 84.9 | 76.1 | 70.5 |
Cluster size | 243 | 204 | 171 | 160 | 178 | 176 | 180 | 128 | 171 | 131 | 128 | 130 |
Average cluster RMSD | 1.8 | 1.6 | 1.5 | 1.4 | 1.7 | 1.7 | 1.8 | 1.4 | 1.9 | 1.5 | 1.7 | 1.8 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 4.75 | 5.30 | 3.96 | 5.04 | 5.37 | 4.16 | 4.88 | 5.28 | 4.09 | 4.82 | 4.80 | 4.36 |
GDT_TS | 0.58 | 0.56 | 0.57 | 0.55 | 0.56 | 0.59 | 0.56 | 0.57 | 0.57 | 0.58 | 0.56 | 0.56 |
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 | 4.74 | 3.80 | 2.68 | 3.93 | 3.54 | 4.10 | 4.41 | 3.56 | 4.61 | 4.18 | 3.06 |
2 | 4.74 | 0.00 | 3.12 | 3.74 | 2.94 | 3.48 | 2.44 | 2.06 | 3.48 | 2.03 | 2.53 | 5.17 |
3 | 3.80 | 3.12 | 0.00 | 3.25 | 3.30 | 2.74 | 2.65 | 3.31 | 2.23 | 2.95 | 2.87 | 3.49 |
4 | 2.68 | 3.74 | 3.25 | 0.00 | 3.60 | 3.59 | 3.24 | 3.62 | 3.54 | 3.76 | 3.47 | 3.62 |
5 | 3.93 | 2.94 | 3.30 | 3.60 | 0.00 | 2.73 | 2.87 | 2.57 | 2.84 | 2.90 | 2.84 | 4.72 |
6 | 3.54 | 3.48 | 2.74 | 3.59 | 2.73 | 0.00 | 3.26 | 3.24 | 2.22 | 3.34 | 2.66 | 3.89 |
7 | 4.10 | 2.44 | 2.65 | 3.24 | 2.87 | 3.26 | 0.00 | 2.59 | 2.96 | 2.53 | 2.59 | 4.36 |
8 | 4.41 | 2.06 | 3.31 | 3.62 | 2.57 | 3.24 | 2.59 | 0.00 | 3.29 | 2.16 | 2.75 | 4.89 |
9 | 3.56 | 3.48 | 2.23 | 3.54 | 2.84 | 2.22 | 2.96 | 3.29 | 0.00 | 3.30 | 3.09 | 3.53 |
10 | 4.61 | 2.03 | 2.95 | 3.76 | 2.90 | 3.34 | 2.53 | 2.16 | 3.30 | 0.00 | 2.62 | 4.95 |
11 | 4.18 | 2.53 | 2.87 | 3.47 | 2.84 | 2.66 | 2.59 | 2.75 | 3.09 | 2.62 | 0.00 | 4.44 |
12 | 3.06 | 5.17 | 3.49 | 3.62 | 4.72 | 3.89 | 4.36 | 4.89 | 3.53 | 4.95 | 4.44 | 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 | 0.66 | 0.66 | 0.71 | 0.65 | 0.68 | 0.66 | 0.67 | 0.68 | 0.66 | 0.65 | 0.70 |
2 | 0.66 | 1.00 | 0.71 | 0.63 | 0.69 | 0.69 | 0.71 | 0.80 | 0.68 | 0.78 | 0.73 | 0.67 |
3 | 0.66 | 0.71 | 1.00 | 0.66 | 0.69 | 0.72 | 0.69 | 0.70 | 0.74 | 0.71 | 0.69 | 0.76 |
4 | 0.71 | 0.63 | 0.66 | 1.00 | 0.64 | 0.65 | 0.63 | 0.66 | 0.62 | 0.61 | 0.61 | 0.68 |
5 | 0.65 | 0.69 | 0.69 | 0.64 | 1.00 | 0.73 | 0.71 | 0.71 | 0.74 | 0.68 | 0.73 | 0.67 |
6 | 0.68 | 0.69 | 0.72 | 0.65 | 0.73 | 1.00 | 0.66 | 0.71 | 0.75 | 0.69 | 0.78 | 0.66 |
7 | 0.66 | 0.71 | 0.69 | 0.63 | 0.71 | 0.66 | 1.00 | 0.73 | 0.69 | 0.72 | 0.68 | 0.64 |
8 | 0.67 | 0.80 | 0.70 | 0.66 | 0.71 | 0.71 | 0.73 | 1.00 | 0.72 | 0.77 | 0.72 | 0.65 |
9 | 0.68 | 0.68 | 0.74 | 0.62 | 0.74 | 0.75 | 0.69 | 0.72 | 1.00 | 0.67 | 0.72 | 0.71 |
10 | 0.66 | 0.78 | 0.71 | 0.61 | 0.68 | 0.69 | 0.72 | 0.77 | 0.67 | 1.00 | 0.73 | 0.62 |
11 | 0.65 | 0.73 | 0.69 | 0.61 | 0.73 | 0.78 | 0.68 | 0.72 | 0.72 | 0.73 | 1.00 | 0.65 |
12 | 0.70 | 0.67 | 0.76 | 0.68 | 0.67 | 0.66 | 0.64 | 0.65 | 0.71 | 0.62 | 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