Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 217.8 | 191.8 | 154.3 | 147.2 | 135.2 | 120.7 | 117.3 | 111.6 | 101.1 | 97.7 | 87.0 | 79.7 |
Cluster size | 287 | 250 | 193 | 186 | 176 | 153 | 141 | 140 | 119 | 135 | 125 | 95 |
Average cluster RMSD | 1.3 | 1.3 | 1.3 | 1.3 | 1.3 | 1.3 | 1.2 | 1.3 | 1.2 | 1.4 | 1.4 | 1.2 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 2.38 | 2.21 | 2.50 | 2.25 | 2.33 | 2.41 | 2.27 | 2.34 | 2.35 | 2.13 | 2.25 | 2.37 |
GDT_TS | 0.69 | 0.71 | 0.68 | 0.71 | 0.69 | 0.68 | 0.71 | 0.69 | 0.72 | 0.71 | 0.71 | 0.71 |
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 | 2.33 | 2.40 | 2.36 | 2.05 | 2.31 | 2.53 | 2.21 | 2.45 | 2.25 | 2.31 | 2.34 |
2 | 2.33 | 0.00 | 2.75 | 2.49 | 2.62 | 2.67 | 2.82 | 2.18 | 2.72 | 2.13 | 2.39 | 2.61 |
3 | 2.40 | 2.75 | 0.00 | 2.39 | 1.99 | 2.34 | 2.22 | 2.48 | 2.40 | 2.46 | 2.11 | 2.18 |
4 | 2.36 | 2.49 | 2.39 | 0.00 | 2.26 | 2.14 | 2.44 | 2.09 | 2.36 | 2.37 | 2.18 | 2.30 |
5 | 2.05 | 2.62 | 1.99 | 2.26 | 0.00 | 2.07 | 2.09 | 2.31 | 2.07 | 2.39 | 2.28 | 2.18 |
6 | 2.31 | 2.67 | 2.34 | 2.14 | 2.07 | 0.00 | 2.34 | 2.43 | 2.30 | 2.50 | 2.01 | 2.22 |
7 | 2.53 | 2.82 | 2.22 | 2.44 | 2.09 | 2.34 | 0.00 | 2.73 | 2.01 | 2.49 | 2.32 | 2.23 |
8 | 2.21 | 2.18 | 2.48 | 2.09 | 2.31 | 2.43 | 2.73 | 0.00 | 2.50 | 2.14 | 2.29 | 2.32 |
9 | 2.45 | 2.72 | 2.40 | 2.36 | 2.07 | 2.30 | 2.01 | 2.50 | 0.00 | 2.46 | 2.33 | 2.17 |
10 | 2.25 | 2.13 | 2.46 | 2.37 | 2.39 | 2.50 | 2.49 | 2.14 | 2.46 | 0.00 | 2.20 | 2.40 |
11 | 2.31 | 2.39 | 2.11 | 2.18 | 2.28 | 2.01 | 2.32 | 2.29 | 2.33 | 2.20 | 0.00 | 2.14 |
12 | 2.34 | 2.61 | 2.18 | 2.30 | 2.18 | 2.22 | 2.23 | 2.32 | 2.17 | 2.40 | 2.14 | 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 | 0.68 | 0.69 | 0.73 | 0.70 | 0.69 | 0.71 | 0.71 | 0.72 | 0.70 | 0.71 |
2 | 0.71 | 1.00 | 0.65 | 0.70 | 0.65 | 0.67 | 0.64 | 0.71 | 0.68 | 0.73 | 0.69 | 0.69 |
3 | 0.68 | 0.65 | 1.00 | 0.70 | 0.76 | 0.70 | 0.73 | 0.67 | 0.71 | 0.68 | 0.72 | 0.71 |
4 | 0.69 | 0.70 | 0.70 | 1.00 | 0.70 | 0.71 | 0.68 | 0.75 | 0.70 | 0.70 | 0.72 | 0.70 |
5 | 0.73 | 0.65 | 0.76 | 0.70 | 1.00 | 0.71 | 0.75 | 0.69 | 0.77 | 0.68 | 0.70 | 0.72 |
6 | 0.70 | 0.67 | 0.70 | 0.71 | 0.71 | 1.00 | 0.69 | 0.69 | 0.74 | 0.67 | 0.73 | 0.72 |
7 | 0.69 | 0.64 | 0.73 | 0.68 | 0.75 | 0.69 | 1.00 | 0.65 | 0.75 | 0.68 | 0.71 | 0.73 |
8 | 0.71 | 0.71 | 0.67 | 0.75 | 0.69 | 0.69 | 0.65 | 1.00 | 0.69 | 0.73 | 0.71 | 0.71 |
9 | 0.71 | 0.68 | 0.71 | 0.70 | 0.77 | 0.74 | 0.75 | 0.69 | 1.00 | 0.69 | 0.72 | 0.76 |
10 | 0.72 | 0.73 | 0.68 | 0.70 | 0.68 | 0.67 | 0.68 | 0.73 | 0.69 | 1.00 | 0.72 | 0.71 |
11 | 0.70 | 0.69 | 0.72 | 0.72 | 0.70 | 0.73 | 0.71 | 0.71 | 0.72 | 0.72 | 1.00 | 0.72 |
12 | 0.71 | 0.69 | 0.71 | 0.70 | 0.72 | 0.72 | 0.73 | 0.71 | 0.76 | 0.71 | 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