Project Name | A_po |
Project Name | A_po |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 170.4 | 168.3 | 141.2 | 135.2 | 130.6 | 129.3 | 115.9 | 92.6 | 88.7 | 79.1 | 63.0 | 60.3 |
Cluster size | 265 | 248 | 214 | 197 | 198 | 161 | 163 | 136 | 138 | 107 | 87 | 86 |
Average cluster RMSD | 1.6 | 1.5 | 1.5 | 1.5 | 1.5 | 1.2 | 1.4 | 1.5 | 1.6 | 1.4 | 1.4 | 1.4 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 4.91 | 5.12 | 4.98 | 4.30 | 4.50 | 5.13 | 5.29 | 4.97 | 3.60 | 3.70 | 5.01 | 5.30 |
GDT_TS | 0.56 | 0.57 | 0.55 | 0.58 | 0.55 | 0.56 | 0.57 | 0.58 | 0.64 | 0.58 | 0.58 | 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 | 3.13 | 3.37 | 3.80 | 3.86 | 3.30 | 3.43 | 3.90 | 4.19 | 3.65 | 3.78 | 3.22 |
2 | 3.13 | 0.00 | 2.19 | 3.05 | 3.28 | 3.10 | 2.75 | 3.51 | 3.96 | 3.31 | 2.42 | 2.74 |
3 | 3.37 | 2.19 | 0.00 | 2.64 | 2.80 | 3.29 | 3.04 | 3.66 | 4.14 | 3.20 | 2.60 | 2.88 |
4 | 3.80 | 3.05 | 2.64 | 0.00 | 2.31 | 3.73 | 2.80 | 3.13 | 3.55 | 2.86 | 2.77 | 3.34 |
5 | 3.86 | 3.28 | 2.80 | 2.31 | 0.00 | 4.18 | 3.49 | 3.75 | 3.62 | 2.46 | 2.97 | 3.88 |
6 | 3.30 | 3.10 | 3.29 | 3.73 | 4.18 | 0.00 | 3.33 | 3.99 | 4.57 | 4.07 | 3.53 | 2.87 |
7 | 3.43 | 2.75 | 3.04 | 2.80 | 3.49 | 3.33 | 0.00 | 2.50 | 3.92 | 3.81 | 2.98 | 2.76 |
8 | 3.90 | 3.51 | 3.66 | 3.13 | 3.75 | 3.99 | 2.50 | 0.00 | 3.79 | 3.76 | 3.32 | 3.57 |
9 | 4.19 | 3.96 | 4.14 | 3.55 | 3.62 | 4.57 | 3.92 | 3.79 | 0.00 | 3.05 | 3.85 | 4.35 |
10 | 3.65 | 3.31 | 3.20 | 2.86 | 2.46 | 4.07 | 3.81 | 3.76 | 3.05 | 0.00 | 3.15 | 4.00 |
11 | 3.78 | 2.42 | 2.60 | 2.77 | 2.97 | 3.53 | 2.98 | 3.32 | 3.85 | 3.15 | 0.00 | 3.28 |
12 | 3.22 | 2.74 | 2.88 | 3.34 | 3.88 | 2.87 | 2.76 | 3.57 | 4.35 | 4.00 | 3.28 | 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 | 0.70 | 0.70 | 0.68 | 0.68 | 0.72 | 0.72 | 0.68 | 0.66 | 0.69 | 0.69 | 0.76 |
2 | 0.70 | 1.00 | 0.77 | 0.67 | 0.68 | 0.70 | 0.70 | 0.66 | 0.63 | 0.71 | 0.74 | 0.72 |
3 | 0.70 | 0.77 | 1.00 | 0.71 | 0.70 | 0.69 | 0.72 | 0.66 | 0.64 | 0.70 | 0.74 | 0.73 |
4 | 0.68 | 0.67 | 0.71 | 1.00 | 0.74 | 0.65 | 0.73 | 0.70 | 0.67 | 0.73 | 0.71 | 0.66 |
5 | 0.68 | 0.68 | 0.70 | 0.74 | 1.00 | 0.67 | 0.68 | 0.65 | 0.66 | 0.77 | 0.69 | 0.67 |
6 | 0.72 | 0.70 | 0.69 | 0.65 | 0.67 | 1.00 | 0.69 | 0.64 | 0.63 | 0.69 | 0.69 | 0.74 |
7 | 0.72 | 0.70 | 0.72 | 0.73 | 0.68 | 0.69 | 1.00 | 0.77 | 0.67 | 0.69 | 0.71 | 0.72 |
8 | 0.68 | 0.66 | 0.66 | 0.70 | 0.65 | 0.64 | 0.77 | 1.00 | 0.68 | 0.67 | 0.69 | 0.66 |
9 | 0.66 | 0.63 | 0.64 | 0.67 | 0.66 | 0.63 | 0.67 | 0.68 | 1.00 | 0.69 | 0.66 | 0.64 |
10 | 0.69 | 0.71 | 0.70 | 0.73 | 0.77 | 0.69 | 0.69 | 0.67 | 0.69 | 1.00 | 0.71 | 0.69 |
11 | 0.69 | 0.74 | 0.74 | 0.71 | 0.69 | 0.69 | 0.71 | 0.69 | 0.66 | 0.71 | 1.00 | 0.70 |
12 | 0.76 | 0.72 | 0.73 | 0.66 | 0.67 | 0.74 | 0.72 | 0.66 | 0.64 | 0.69 | 0.70 | 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