Project Name | smitainfo |
Project Name | smitainfo |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 173.9 | 137.3 | 135.0 | 131.7 | 130.0 | 117.2 | 108.0 | 106.0 | 97.5 | 88.4 | 85.1 | 65.6 |
Cluster size | 245 | 203 | 198 | 194 | 181 | 163 | 157 | 162 | 142 | 129 | 127 | 99 |
Average cluster RMSD | 1.4 | 1.5 | 1.5 | 1.5 | 1.4 | 1.4 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 3.50 | 3.47 | 3.63 | 3.85 | 3.85 | 3.89 | 3.82 | 3.54 | 3.67 | 3.19 | 3.50 | 3.31 |
GDT_TS | 0.53 | 0.56 | 0.53 | 0.51 | 0.54 | 0.51 | 0.52 | 0.54 | 0.52 | 0.59 | 0.56 | 0.55 |
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 | 2.98 | 3.44 | 4.06 | 2.73 | 3.05 | 3.32 | 2.80 | 2.68 | 3.11 | 3.17 | 3.06 |
2 | 2.98 | 0.00 | 2.94 | 3.22 | 2.83 | 3.55 | 2.54 | 2.84 | 3.57 | 2.90 | 2.90 | 2.93 |
3 | 3.44 | 2.94 | 0.00 | 3.53 | 3.37 | 3.88 | 3.00 | 3.30 | 3.76 | 2.64 | 2.82 | 2.88 |
4 | 4.06 | 3.22 | 3.53 | 0.00 | 3.33 | 3.38 | 3.09 | 3.40 | 3.90 | 3.33 | 3.66 | 3.82 |
5 | 2.73 | 2.83 | 3.37 | 3.33 | 0.00 | 2.47 | 2.94 | 2.58 | 2.90 | 3.22 | 3.19 | 3.30 |
6 | 3.05 | 3.55 | 3.88 | 3.38 | 2.47 | 0.00 | 3.49 | 3.07 | 2.49 | 3.69 | 3.70 | 3.76 |
7 | 3.32 | 2.54 | 3.00 | 3.09 | 2.94 | 3.49 | 0.00 | 3.03 | 3.65 | 2.76 | 3.13 | 3.24 |
8 | 2.80 | 2.84 | 3.30 | 3.40 | 2.58 | 3.07 | 3.03 | 0.00 | 2.87 | 3.24 | 3.10 | 3.29 |
9 | 2.68 | 3.57 | 3.76 | 3.90 | 2.90 | 2.49 | 3.65 | 2.87 | 0.00 | 3.77 | 3.78 | 3.63 |
10 | 3.11 | 2.90 | 2.64 | 3.33 | 3.22 | 3.69 | 2.76 | 3.24 | 3.77 | 0.00 | 2.96 | 3.00 |
11 | 3.17 | 2.90 | 2.82 | 3.66 | 3.19 | 3.70 | 3.13 | 3.10 | 3.78 | 2.96 | 0.00 | 2.64 |
12 | 3.06 | 2.93 | 2.88 | 3.82 | 3.30 | 3.76 | 3.24 | 3.29 | 3.63 | 3.00 | 2.64 | 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 | 0.64 | 0.58 | 0.54 | 0.67 | 0.65 | 0.59 | 0.64 | 0.65 | 0.63 | 0.60 | 0.60 |
2 | 0.64 | 1.00 | 0.63 | 0.60 | 0.65 | 0.57 | 0.66 | 0.63 | 0.56 | 0.64 | 0.63 | 0.64 |
3 | 0.58 | 0.63 | 1.00 | 0.56 | 0.58 | 0.52 | 0.60 | 0.58 | 0.54 | 0.67 | 0.64 | 0.64 |
4 | 0.54 | 0.60 | 0.56 | 1.00 | 0.62 | 0.59 | 0.58 | 0.57 | 0.53 | 0.59 | 0.56 | 0.56 |
5 | 0.67 | 0.65 | 0.58 | 0.62 | 1.00 | 0.68 | 0.60 | 0.67 | 0.64 | 0.61 | 0.60 | 0.59 |
6 | 0.65 | 0.57 | 0.52 | 0.59 | 0.68 | 1.00 | 0.54 | 0.60 | 0.69 | 0.53 | 0.58 | 0.54 |
7 | 0.59 | 0.66 | 0.60 | 0.58 | 0.60 | 0.54 | 1.00 | 0.58 | 0.53 | 0.63 | 0.60 | 0.60 |
8 | 0.64 | 0.63 | 0.58 | 0.57 | 0.67 | 0.60 | 0.58 | 1.00 | 0.60 | 0.58 | 0.60 | 0.57 |
9 | 0.65 | 0.56 | 0.54 | 0.53 | 0.64 | 0.69 | 0.53 | 0.60 | 1.00 | 0.53 | 0.54 | 0.53 |
10 | 0.63 | 0.64 | 0.67 | 0.59 | 0.61 | 0.53 | 0.63 | 0.58 | 0.53 | 1.00 | 0.63 | 0.62 |
11 | 0.60 | 0.63 | 0.64 | 0.56 | 0.60 | 0.58 | 0.60 | 0.60 | 0.54 | 0.63 | 1.00 | 0.66 |
12 | 0.60 | 0.64 | 0.64 | 0.56 | 0.59 | 0.54 | 0.60 | 0.57 | 0.53 | 0.62 | 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