Project Name | PIa |
Project Name | PIa |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 168.9 | 161.7 | 161.5 | 145.8 | 138.5 | 137.5 | 131.3 | 118.3 | 108.0 | 101.1 | 69.8 | 41.6 |
Cluster size | 251 | 228 | 232 | 198 | 167 | 169 | 171 | 147 | 155 | 140 | 86 | 56 |
Average cluster RMSD | 1.5 | 1.4 | 1.4 | 1.4 | 1.2 | 1.2 | 1.3 | 1.2 | 1.4 | 1.4 | 1.2 | 1.3 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 3.39 | 3.44 | 3.23 | 3.55 | 3.61 | 3.52 | 3.19 | 3.50 | 3.47 | 3.19 | 3.34 | 2.94 |
GDT_TS | 0.59 | 0.61 | 0.63 | 0.62 | 0.61 | 0.62 | 0.64 | 0.63 | 0.62 | 0.64 | 0.60 | 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 | 2.38 | 2.19 | 2.33 | 2.40 | 2.48 | 2.07 | 2.46 | 2.19 | 2.63 | 2.22 | 2.62 |
2 | 2.38 | 0.00 | 2.16 | 2.13 | 2.39 | 2.49 | 2.07 | 2.18 | 2.41 | 2.66 | 2.72 | 2.82 |
3 | 2.19 | 2.16 | 0.00 | 2.12 | 2.30 | 2.12 | 2.16 | 2.34 | 1.95 | 2.36 | 2.11 | 2.36 |
4 | 2.33 | 2.13 | 2.12 | 0.00 | 1.97 | 1.75 | 1.94 | 1.84 | 2.28 | 2.53 | 2.60 | 2.83 |
5 | 2.40 | 2.39 | 2.30 | 1.97 | 0.00 | 2.05 | 1.79 | 2.14 | 2.33 | 2.57 | 2.61 | 2.77 |
6 | 2.48 | 2.49 | 2.12 | 1.75 | 2.05 | 0.00 | 2.00 | 1.96 | 2.25 | 2.62 | 2.57 | 2.91 |
7 | 2.07 | 2.07 | 2.16 | 1.94 | 1.79 | 2.00 | 0.00 | 2.07 | 2.29 | 2.27 | 2.32 | 2.62 |
8 | 2.46 | 2.18 | 2.34 | 1.84 | 2.14 | 1.96 | 2.07 | 0.00 | 2.56 | 2.88 | 2.76 | 3.16 |
9 | 2.19 | 2.41 | 1.95 | 2.28 | 2.33 | 2.25 | 2.29 | 2.56 | 0.00 | 2.71 | 2.40 | 2.47 |
10 | 2.63 | 2.66 | 2.36 | 2.53 | 2.57 | 2.62 | 2.27 | 2.88 | 2.71 | 0.00 | 2.40 | 2.63 |
11 | 2.22 | 2.72 | 2.11 | 2.60 | 2.61 | 2.57 | 2.32 | 2.76 | 2.40 | 2.40 | 0.00 | 2.79 |
12 | 2.62 | 2.82 | 2.36 | 2.83 | 2.77 | 2.91 | 2.62 | 3.16 | 2.47 | 2.63 | 2.79 | 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 | 0.75 | 0.76 | 0.71 | 0.73 | 0.74 | 0.72 | 0.73 | 0.69 | 0.76 | 0.70 |
2 | 0.73 | 1.00 | 0.78 | 0.77 | 0.72 | 0.72 | 0.75 | 0.75 | 0.73 | 0.73 | 0.74 | 0.71 |
3 | 0.75 | 0.78 | 1.00 | 0.76 | 0.71 | 0.75 | 0.73 | 0.73 | 0.79 | 0.75 | 0.78 | 0.76 |
4 | 0.76 | 0.77 | 0.76 | 1.00 | 0.78 | 0.81 | 0.77 | 0.80 | 0.73 | 0.72 | 0.72 | 0.71 |
5 | 0.71 | 0.72 | 0.71 | 0.78 | 1.00 | 0.77 | 0.82 | 0.75 | 0.72 | 0.70 | 0.69 | 0.71 |
6 | 0.73 | 0.72 | 0.75 | 0.81 | 0.77 | 1.00 | 0.80 | 0.78 | 0.73 | 0.71 | 0.71 | 0.70 |
7 | 0.74 | 0.75 | 0.73 | 0.77 | 0.82 | 0.80 | 1.00 | 0.76 | 0.72 | 0.72 | 0.72 | 0.71 |
8 | 0.72 | 0.75 | 0.73 | 0.80 | 0.75 | 0.78 | 0.76 | 1.00 | 0.73 | 0.70 | 0.70 | 0.68 |
9 | 0.73 | 0.73 | 0.79 | 0.73 | 0.72 | 0.73 | 0.72 | 0.73 | 1.00 | 0.69 | 0.74 | 0.73 |
10 | 0.69 | 0.73 | 0.75 | 0.72 | 0.70 | 0.71 | 0.72 | 0.70 | 0.69 | 1.00 | 0.72 | 0.73 |
11 | 0.76 | 0.74 | 0.78 | 0.72 | 0.69 | 0.71 | 0.72 | 0.70 | 0.74 | 0.72 | 1.00 | 0.72 |
12 | 0.70 | 0.71 | 0.76 | 0.71 | 0.71 | 0.70 | 0.71 | 0.68 | 0.73 | 0.73 | 0.72 | 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