Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 189.3 | 151.9 | 150.7 | 144.8 | 136.8 | 127.4 | 116.7 | 114.6 | 74.5 | 71.7 | 54.6 | 54.4 |
Cluster size | 285 | 222 | 223 | 214 | 212 | 173 | 155 | 156 | 104 | 107 | 74 | 75 |
Average cluster RMSD | 1.5 | 1.5 | 1.5 | 1.5 | 1.6 | 1.4 | 1.3 | 1.4 | 1.4 | 1.5 | 1.4 | 1.4 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 5.87 | 4.64 | 5.65 | 5.35 | 5.76 | 5.35 | 5.18 | 5.17 | 5.50 | 5.18 | 5.94 | 4.63 |
GDT_TS | 0.60 | 0.59 | 0.60 | 0.61 | 0.61 | 0.57 | 0.60 | 0.58 | 0.61 | 0.63 | 0.59 | 0.62 |
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 | 3.59 | 3.27 | 3.98 | 2.81 | 2.97 | 3.62 | 3.41 | 3.18 | 3.93 | 4.17 | 3.50 |
2 | 3.59 | 0.00 | 3.45 | 3.85 | 3.42 | 3.01 | 3.11 | 3.15 | 3.60 | 3.87 | 4.03 | 3.35 |
3 | 3.27 | 3.45 | 0.00 | 2.69 | 2.79 | 2.73 | 2.58 | 2.66 | 2.92 | 2.87 | 3.12 | 2.94 |
4 | 3.98 | 3.85 | 2.69 | 0.00 | 3.49 | 3.13 | 2.92 | 2.99 | 3.49 | 2.71 | 2.73 | 3.00 |
5 | 2.81 | 3.42 | 2.79 | 3.49 | 0.00 | 2.83 | 3.26 | 3.20 | 2.55 | 3.49 | 3.71 | 3.14 |
6 | 2.97 | 3.01 | 2.73 | 3.13 | 2.83 | 0.00 | 2.82 | 2.79 | 3.10 | 3.41 | 3.62 | 2.91 |
7 | 3.62 | 3.11 | 2.58 | 2.92 | 3.26 | 2.82 | 0.00 | 2.13 | 3.38 | 2.73 | 3.01 | 3.11 |
8 | 3.41 | 3.15 | 2.66 | 2.99 | 3.20 | 2.79 | 2.13 | 0.00 | 3.45 | 2.88 | 3.11 | 2.97 |
9 | 3.18 | 3.60 | 2.92 | 3.49 | 2.55 | 3.10 | 3.38 | 3.45 | 0.00 | 3.44 | 4.00 | 3.00 |
10 | 3.93 | 3.87 | 2.87 | 2.71 | 3.49 | 3.41 | 2.73 | 2.88 | 3.44 | 0.00 | 2.69 | 3.17 |
11 | 4.17 | 4.03 | 3.12 | 2.73 | 3.71 | 3.62 | 3.01 | 3.11 | 4.00 | 2.69 | 0.00 | 3.51 |
12 | 3.50 | 3.35 | 2.94 | 3.00 | 3.14 | 2.91 | 3.11 | 2.97 | 3.00 | 3.17 | 3.51 | 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 | 0.68 | 0.61 | 0.65 | 0.67 | 0.67 | 0.68 | 0.65 | 0.64 | 0.62 | 0.62 |
2 | 0.68 | 1.00 | 0.65 | 0.59 | 0.66 | 0.66 | 0.67 | 0.67 | 0.65 | 0.62 | 0.63 | 0.63 |
3 | 0.68 | 0.65 | 1.00 | 0.67 | 0.67 | 0.66 | 0.69 | 0.65 | 0.66 | 0.63 | 0.62 | 0.64 |
4 | 0.61 | 0.59 | 0.67 | 1.00 | 0.60 | 0.63 | 0.65 | 0.62 | 0.66 | 0.66 | 0.66 | 0.66 |
5 | 0.65 | 0.66 | 0.67 | 0.60 | 1.00 | 0.62 | 0.63 | 0.63 | 0.70 | 0.62 | 0.60 | 0.65 |
6 | 0.67 | 0.66 | 0.66 | 0.63 | 0.62 | 1.00 | 0.69 | 0.66 | 0.64 | 0.58 | 0.61 | 0.62 |
7 | 0.67 | 0.67 | 0.69 | 0.65 | 0.63 | 0.69 | 1.00 | 0.73 | 0.66 | 0.66 | 0.66 | 0.64 |
8 | 0.68 | 0.67 | 0.65 | 0.62 | 0.63 | 0.66 | 0.73 | 1.00 | 0.60 | 0.62 | 0.64 | 0.62 |
9 | 0.65 | 0.65 | 0.66 | 0.66 | 0.70 | 0.64 | 0.66 | 0.60 | 1.00 | 0.67 | 0.62 | 0.66 |
10 | 0.64 | 0.62 | 0.63 | 0.66 | 0.62 | 0.58 | 0.66 | 0.62 | 0.67 | 1.00 | 0.68 | 0.63 |
11 | 0.62 | 0.63 | 0.62 | 0.66 | 0.60 | 0.61 | 0.66 | 0.64 | 0.62 | 0.68 | 1.00 | 0.66 |
12 | 0.62 | 0.63 | 0.64 | 0.66 | 0.65 | 0.62 | 0.64 | 0.62 | 0.66 | 0.63 | 0.66 | 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