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 | 3.53 | 3.45 | 3.66 | 3.76 | 3.82 | 3.91 | 3.96 | 3.46 | 3.73 | 3.36 | 3.49 | 3.32 |
GDT_TS | 0.53 | 0.56 | 0.53 | 0.51 | 0.54 | 0.51 | 0.51 | 0.55 | 0.51 | 0.58 | 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 | 3.05 | 3.53 | 3.96 | 2.70 | 3.04 | 3.51 | 2.78 | 2.71 | 3.27 | 3.18 | 3.03 |
2 | 3.05 | 0.00 | 2.97 | 3.23 | 2.90 | 3.64 | 2.70 | 2.96 | 3.64 | 2.93 | 2.87 | 2.92 |
3 | 3.53 | 2.97 | 0.00 | 3.57 | 3.34 | 3.88 | 3.06 | 3.34 | 3.86 | 2.71 | 2.88 | 2.99 |
4 | 3.96 | 3.23 | 3.57 | 0.00 | 3.33 | 3.44 | 3.24 | 3.31 | 4.03 | 3.21 | 3.67 | 3.85 |
5 | 2.70 | 2.90 | 3.34 | 3.33 | 0.00 | 2.51 | 2.93 | 2.56 | 2.93 | 3.21 | 3.13 | 3.23 |
6 | 3.04 | 3.64 | 3.88 | 3.44 | 2.51 | 0.00 | 3.44 | 2.85 | 2.56 | 3.72 | 3.69 | 3.73 |
7 | 3.51 | 2.70 | 3.06 | 3.24 | 2.93 | 3.44 | 0.00 | 3.03 | 3.74 | 3.10 | 3.20 | 3.35 |
8 | 2.78 | 2.96 | 3.34 | 3.31 | 2.56 | 2.85 | 3.03 | 0.00 | 2.72 | 3.38 | 3.25 | 3.36 |
9 | 2.71 | 3.64 | 3.86 | 4.03 | 2.93 | 2.56 | 3.74 | 2.72 | 0.00 | 3.97 | 3.82 | 3.61 |
10 | 3.27 | 2.93 | 2.71 | 3.21 | 3.21 | 3.72 | 3.10 | 3.38 | 3.97 | 0.00 | 2.94 | 3.10 |
11 | 3.18 | 2.87 | 2.88 | 3.67 | 3.13 | 3.69 | 3.20 | 3.25 | 3.82 | 2.94 | 0.00 | 2.65 |
12 | 3.03 | 2.92 | 2.99 | 3.85 | 3.23 | 3.73 | 3.35 | 3.36 | 3.61 | 3.10 | 2.65 | 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 | 0.62 | 0.56 | 0.55 | 0.66 | 0.65 | 0.56 | 0.63 | 0.64 | 0.62 | 0.60 | 0.60 |
2 | 0.62 | 1.00 | 0.63 | 0.59 | 0.63 | 0.56 | 0.64 | 0.62 | 0.54 | 0.64 | 0.64 | 0.63 |
3 | 0.56 | 0.63 | 1.00 | 0.56 | 0.58 | 0.52 | 0.60 | 0.56 | 0.53 | 0.65 | 0.63 | 0.63 |
4 | 0.55 | 0.59 | 0.56 | 1.00 | 0.62 | 0.57 | 0.57 | 0.57 | 0.51 | 0.59 | 0.56 | 0.56 |
5 | 0.66 | 0.63 | 0.58 | 0.62 | 1.00 | 0.67 | 0.61 | 0.66 | 0.63 | 0.59 | 0.60 | 0.59 |
6 | 0.65 | 0.56 | 0.52 | 0.57 | 0.67 | 1.00 | 0.54 | 0.61 | 0.67 | 0.52 | 0.57 | 0.54 |
7 | 0.56 | 0.64 | 0.60 | 0.57 | 0.61 | 0.54 | 1.00 | 0.57 | 0.52 | 0.59 | 0.60 | 0.58 |
8 | 0.63 | 0.62 | 0.56 | 0.57 | 0.66 | 0.61 | 0.57 | 1.00 | 0.62 | 0.58 | 0.59 | 0.56 |
9 | 0.64 | 0.54 | 0.53 | 0.51 | 0.63 | 0.67 | 0.52 | 0.62 | 1.00 | 0.52 | 0.53 | 0.54 |
10 | 0.62 | 0.64 | 0.65 | 0.59 | 0.59 | 0.52 | 0.59 | 0.58 | 0.52 | 1.00 | 0.62 | 0.61 |
11 | 0.60 | 0.64 | 0.63 | 0.56 | 0.60 | 0.57 | 0.60 | 0.59 | 0.53 | 0.62 | 1.00 | 0.66 |
12 | 0.60 | 0.63 | 0.63 | 0.56 | 0.59 | 0.54 | 0.58 | 0.56 | 0.54 | 0.61 | 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