Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 215.4 | 192.8 | 191.2 | 158.8 | 149.9 | 130.0 | 129.1 | 119.5 | 116.5 | 99.0 | 83.7 | 80.2 |
Cluster size | 270 | 231 | 227 | 188 | 179 | 151 | 148 | 143 | 147 | 120 | 100 | 96 |
Average cluster RMSD | 1.3 | 1.2 | 1.2 | 1.2 | 1.2 | 1.2 | 1.1 | 1.2 | 1.3 | 1.2 | 1.2 | 1.2 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 2.62 | 2.56 | 2.48 | 2.68 | 2.56 | 2.56 | 2.65 | 2.47 | 2.32 | 2.53 | 2.73 | 2.51 |
GDT_TS | 0.65 | 0.65 | 0.68 | 0.64 | 0.64 | 0.67 | 0.65 | 0.68 | 0.68 | 0.65 | 0.66 | 0.67 |
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 | 2.43 | 1.97 | 1.97 | 2.30 | 2.15 | 2.03 | 2.47 | 2.06 | 2.33 | 2.51 | 2.59 |
2 | 2.43 | 0.00 | 2.31 | 2.59 | 1.86 | 2.10 | 2.38 | 1.86 | 2.35 | 2.17 | 2.39 | 2.07 |
3 | 1.97 | 2.31 | 0.00 | 1.98 | 2.16 | 1.97 | 2.20 | 2.40 | 2.02 | 2.07 | 2.40 | 2.61 |
4 | 1.97 | 2.59 | 1.98 | 0.00 | 2.43 | 2.18 | 2.26 | 2.52 | 2.30 | 2.41 | 2.47 | 2.76 |
5 | 2.30 | 1.86 | 2.16 | 2.43 | 0.00 | 1.96 | 2.28 | 2.17 | 2.37 | 2.38 | 2.19 | 1.94 |
6 | 2.15 | 2.10 | 1.97 | 2.18 | 1.96 | 0.00 | 2.15 | 2.13 | 2.28 | 2.14 | 2.26 | 2.36 |
7 | 2.03 | 2.38 | 2.20 | 2.26 | 2.28 | 2.15 | 0.00 | 2.26 | 2.17 | 2.40 | 2.48 | 2.38 |
8 | 2.47 | 1.86 | 2.40 | 2.52 | 2.17 | 2.13 | 2.26 | 0.00 | 2.29 | 2.14 | 2.61 | 2.28 |
9 | 2.06 | 2.35 | 2.02 | 2.30 | 2.37 | 2.28 | 2.17 | 2.29 | 0.00 | 2.15 | 2.61 | 2.61 |
10 | 2.33 | 2.17 | 2.07 | 2.41 | 2.38 | 2.14 | 2.40 | 2.14 | 2.15 | 0.00 | 2.48 | 2.46 |
11 | 2.51 | 2.39 | 2.40 | 2.47 | 2.19 | 2.26 | 2.48 | 2.61 | 2.61 | 2.48 | 0.00 | 2.59 |
12 | 2.59 | 2.07 | 2.61 | 2.76 | 1.94 | 2.36 | 2.38 | 2.28 | 2.61 | 2.46 | 2.59 | 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 | 0.67 | 0.76 | 0.74 | 0.70 | 0.72 | 0.77 | 0.67 | 0.74 | 0.71 | 0.73 | 0.66 |
2 | 0.67 | 1.00 | 0.71 | 0.66 | 0.77 | 0.72 | 0.69 | 0.78 | 0.67 | 0.72 | 0.72 | 0.76 |
3 | 0.76 | 0.71 | 1.00 | 0.75 | 0.74 | 0.76 | 0.76 | 0.70 | 0.74 | 0.74 | 0.77 | 0.68 |
4 | 0.74 | 0.66 | 0.75 | 1.00 | 0.68 | 0.71 | 0.75 | 0.67 | 0.70 | 0.69 | 0.72 | 0.64 |
5 | 0.70 | 0.77 | 0.74 | 0.68 | 1.00 | 0.77 | 0.71 | 0.73 | 0.68 | 0.70 | 0.76 | 0.78 |
6 | 0.72 | 0.72 | 0.76 | 0.71 | 0.77 | 1.00 | 0.74 | 0.76 | 0.71 | 0.76 | 0.76 | 0.74 |
7 | 0.77 | 0.69 | 0.76 | 0.75 | 0.71 | 0.74 | 1.00 | 0.71 | 0.75 | 0.72 | 0.75 | 0.69 |
8 | 0.67 | 0.78 | 0.70 | 0.67 | 0.73 | 0.76 | 0.71 | 1.00 | 0.70 | 0.76 | 0.72 | 0.74 |
9 | 0.74 | 0.67 | 0.74 | 0.70 | 0.68 | 0.71 | 0.75 | 0.70 | 1.00 | 0.72 | 0.72 | 0.67 |
10 | 0.71 | 0.72 | 0.74 | 0.69 | 0.70 | 0.76 | 0.72 | 0.76 | 0.72 | 1.00 | 0.76 | 0.69 |
11 | 0.73 | 0.72 | 0.77 | 0.72 | 0.76 | 0.76 | 0.75 | 0.72 | 0.72 | 0.76 | 1.00 | 0.70 |
12 | 0.66 | 0.76 | 0.68 | 0.64 | 0.78 | 0.74 | 0.69 | 0.74 | 0.67 | 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