Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 199.5 | 177.7 | 136.8 | 131.7 | 125.9 | 125.7 | 120.8 | 116.5 | 103.3 | 95.0 | 82.3 | 37.5 |
Cluster size | 282 | 228 | 197 | 168 | 167 | 162 | 146 | 171 | 159 | 157 | 110 | 53 |
Average cluster RMSD | 1.4 | 1.3 | 1.4 | 1.3 | 1.3 | 1.3 | 1.2 | 1.5 | 1.5 | 1.7 | 1.3 | 1.4 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 2.53 | 2.64 | 1.14 | 1.49 | 1.07 | 1.49 | 1.15 | 1.72 | 0.94 | 1.48 | 2.63 | 1.53 |
GDT_TS | 0.76 | 0.76 | 0.94 | 0.88 | 0.93 | 0.89 | 0.93 | 0.86 | 0.94 | 0.89 | 0.71 | 0.90 |
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 | 1.26 | 2.40 | 2.85 | 2.77 | 2.52 | 2.62 | 2.86 | 2.74 | 2.65 | 1.57 | 3.12 |
2 | 1.26 | 0.00 | 2.36 | 2.69 | 2.82 | 2.43 | 2.56 | 2.81 | 2.66 | 2.56 | 1.33 | 3.00 |
3 | 2.40 | 2.36 | 0.00 | 1.36 | 1.12 | 1.38 | 1.09 | 1.39 | 1.13 | 0.83 | 2.19 | 1.55 |
4 | 2.85 | 2.69 | 1.36 | 0.00 | 1.19 | 1.41 | 1.24 | 1.65 | 1.16 | 1.30 | 2.90 | 1.46 |
5 | 2.77 | 2.82 | 1.12 | 1.19 | 0.00 | 1.57 | 1.30 | 1.90 | 1.05 | 1.28 | 2.84 | 1.38 |
6 | 2.52 | 2.43 | 1.38 | 1.41 | 1.57 | 0.00 | 1.15 | 1.45 | 1.59 | 1.57 | 2.46 | 1.84 |
7 | 2.62 | 2.56 | 1.09 | 1.24 | 1.30 | 1.15 | 0.00 | 1.15 | 1.15 | 1.44 | 2.62 | 1.51 |
8 | 2.86 | 2.81 | 1.39 | 1.65 | 1.90 | 1.45 | 1.15 | 0.00 | 1.56 | 1.45 | 2.72 | 1.83 |
9 | 2.74 | 2.66 | 1.13 | 1.16 | 1.05 | 1.59 | 1.15 | 1.56 | 0.00 | 1.17 | 2.74 | 1.44 |
10 | 2.65 | 2.56 | 0.83 | 1.30 | 1.28 | 1.57 | 1.44 | 1.45 | 1.17 | 0.00 | 2.40 | 1.72 |
11 | 1.57 | 1.33 | 2.19 | 2.90 | 2.84 | 2.46 | 2.62 | 2.72 | 2.74 | 2.40 | 0.00 | 3.13 |
12 | 3.12 | 3.00 | 1.55 | 1.46 | 1.38 | 1.84 | 1.51 | 1.83 | 1.44 | 1.72 | 3.13 | 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 | 0.90 | 0.78 | 0.71 | 0.72 | 0.75 | 0.72 | 0.70 | 0.74 | 0.78 | 0.86 | 0.68 |
2 | 0.90 | 1.00 | 0.79 | 0.75 | 0.76 | 0.76 | 0.75 | 0.71 | 0.75 | 0.78 | 0.90 | 0.70 |
3 | 0.78 | 0.79 | 1.00 | 0.86 | 0.91 | 0.91 | 0.93 | 0.88 | 0.90 | 0.96 | 0.78 | 0.89 |
4 | 0.71 | 0.75 | 0.86 | 1.00 | 0.91 | 0.86 | 0.88 | 0.85 | 0.91 | 0.90 | 0.72 | 0.86 |
5 | 0.72 | 0.76 | 0.91 | 0.91 | 1.00 | 0.82 | 0.89 | 0.82 | 0.93 | 0.90 | 0.71 | 0.89 |
6 | 0.75 | 0.76 | 0.91 | 0.86 | 0.82 | 1.00 | 0.90 | 0.86 | 0.85 | 0.85 | 0.75 | 0.82 |
7 | 0.72 | 0.75 | 0.93 | 0.88 | 0.89 | 0.90 | 1.00 | 0.91 | 0.90 | 0.86 | 0.72 | 0.90 |
8 | 0.70 | 0.71 | 0.88 | 0.85 | 0.82 | 0.86 | 0.91 | 1.00 | 0.85 | 0.85 | 0.72 | 0.86 |
9 | 0.74 | 0.75 | 0.90 | 0.91 | 0.93 | 0.85 | 0.90 | 0.85 | 1.00 | 0.94 | 0.72 | 0.91 |
10 | 0.78 | 0.78 | 0.96 | 0.90 | 0.90 | 0.85 | 0.86 | 0.85 | 0.94 | 1.00 | 0.76 | 0.85 |
11 | 0.86 | 0.90 | 0.78 | 0.72 | 0.71 | 0.75 | 0.72 | 0.72 | 0.72 | 0.76 | 1.00 | 0.69 |
12 | 0.68 | 0.70 | 0.89 | 0.86 | 0.89 | 0.82 | 0.90 | 0.86 | 0.91 | 0.85 | 0.69 | 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