Project Name | 12sp |
Project Name | 12sp |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 184.4 | 168.1 | 160.9 | 154.8 | 150.1 | 135.4 | 132.8 | 119.4 | 114.3 | 112.7 | 108.5 | 87.7 |
Cluster size | 223 | 228 | 199 | 188 | 189 | 156 | 154 | 138 | 143 | 135 | 144 | 103 |
Average cluster RMSD | 1.2 | 1.4 | 1.2 | 1.2 | 1.3 | 1.2 | 1.2 | 1.2 | 1.3 | 1.2 | 1.3 | 1.2 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 3.36 | 3.18 | 3.02 | 2.95 | 3.23 | 3.34 | 3.27 | 3.16 | 3.05 | 2.93 | 3.21 | 3.12 |
GDT_TS | 0.59 | 0.65 | 0.62 | 0.63 | 0.60 | 0.61 | 0.60 | 0.61 | 0.66 | 0.64 | 0.63 | 0.61 |
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 | 2.63 | 2.15 | 2.22 | 2.12 | 1.61 | 2.13 | 2.02 | 2.42 | 2.21 | 2.49 | 2.29 |
2 | 2.63 | 0.00 | 2.48 | 2.18 | 2.27 | 2.53 | 2.93 | 2.69 | 1.99 | 2.25 | 2.16 | 2.84 |
3 | 2.15 | 2.48 | 0.00 | 2.09 | 2.22 | 2.21 | 2.47 | 2.05 | 2.29 | 2.16 | 2.51 | 2.39 |
4 | 2.22 | 2.18 | 2.09 | 0.00 | 2.11 | 2.27 | 2.35 | 2.19 | 2.15 | 1.80 | 2.51 | 2.45 |
5 | 2.12 | 2.27 | 2.22 | 2.11 | 0.00 | 2.23 | 2.70 | 2.00 | 2.32 | 2.16 | 2.32 | 2.74 |
6 | 1.61 | 2.53 | 2.21 | 2.27 | 2.23 | 0.00 | 2.25 | 1.90 | 2.28 | 2.23 | 2.41 | 2.36 |
7 | 2.13 | 2.93 | 2.47 | 2.35 | 2.70 | 2.25 | 0.00 | 2.35 | 2.78 | 2.30 | 2.86 | 1.86 |
8 | 2.02 | 2.69 | 2.05 | 2.19 | 2.00 | 1.90 | 2.35 | 0.00 | 2.42 | 2.19 | 2.47 | 2.41 |
9 | 2.42 | 1.99 | 2.29 | 2.15 | 2.32 | 2.28 | 2.78 | 2.42 | 0.00 | 1.94 | 2.43 | 2.76 |
10 | 2.21 | 2.25 | 2.16 | 1.80 | 2.16 | 2.23 | 2.30 | 2.19 | 1.94 | 0.00 | 2.44 | 2.45 |
11 | 2.49 | 2.16 | 2.51 | 2.51 | 2.32 | 2.41 | 2.86 | 2.47 | 2.43 | 2.44 | 0.00 | 2.81 |
12 | 2.29 | 2.84 | 2.39 | 2.45 | 2.74 | 2.36 | 1.86 | 2.41 | 2.76 | 2.45 | 2.81 | 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 | 0.68 | 0.73 | 0.72 | 0.72 | 0.81 | 0.75 | 0.76 | 0.68 | 0.71 | 0.66 | 0.72 |
2 | 0.68 | 1.00 | 0.71 | 0.75 | 0.72 | 0.70 | 0.69 | 0.67 | 0.79 | 0.74 | 0.73 | 0.68 |
3 | 0.73 | 0.71 | 1.00 | 0.73 | 0.73 | 0.74 | 0.70 | 0.75 | 0.70 | 0.72 | 0.68 | 0.70 |
4 | 0.72 | 0.75 | 0.73 | 1.00 | 0.76 | 0.71 | 0.72 | 0.71 | 0.73 | 0.79 | 0.68 | 0.67 |
5 | 0.72 | 0.72 | 0.73 | 0.76 | 1.00 | 0.71 | 0.68 | 0.74 | 0.69 | 0.74 | 0.71 | 0.66 |
6 | 0.81 | 0.70 | 0.74 | 0.71 | 0.71 | 1.00 | 0.72 | 0.78 | 0.69 | 0.70 | 0.67 | 0.70 |
7 | 0.75 | 0.69 | 0.70 | 0.72 | 0.68 | 0.72 | 1.00 | 0.70 | 0.65 | 0.70 | 0.67 | 0.77 |
8 | 0.76 | 0.67 | 0.75 | 0.71 | 0.74 | 0.78 | 0.70 | 1.00 | 0.68 | 0.72 | 0.67 | 0.68 |
9 | 0.68 | 0.79 | 0.70 | 0.73 | 0.69 | 0.69 | 0.65 | 0.68 | 1.00 | 0.76 | 0.68 | 0.66 |
10 | 0.71 | 0.74 | 0.72 | 0.79 | 0.74 | 0.70 | 0.70 | 0.72 | 0.76 | 1.00 | 0.69 | 0.69 |
11 | 0.66 | 0.73 | 0.68 | 0.68 | 0.71 | 0.67 | 0.67 | 0.67 | 0.68 | 0.69 | 1.00 | 0.65 |
12 | 0.72 | 0.68 | 0.70 | 0.67 | 0.66 | 0.70 | 0.77 | 0.68 | 0.66 | 0.69 | 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