Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 218.4 | 208.0 | 188.9 | 155.9 | 154.9 | 147.3 | 136.4 | 114.4 | 113.4 | 110.9 | 108.0 | 107.4 |
Cluster size | 263 | 244 | 203 | 177 | 180 | 159 | 146 | 143 | 115 | 129 | 121 | 120 |
Average cluster RMSD | 1.2 | 1.2 | 1.1 | 1.1 | 1.2 | 1.1 | 1.1 | 1.3 | 1.0 | 1.2 | 1.1 | 1.1 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 2.86 | 3.24 | 3.03 | 3.27 | 2.86 | 2.79 | 3.47 | 2.91 | 2.99 | 3.43 | 3.24 | 3.04 |
GDT_TS | 0.65 | 0.58 | 0.60 | 0.58 | 0.63 | 0.68 | 0.57 | 0.66 | 0.62 | 0.57 | 0.58 | 0.60 |
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 | 2.92 | 2.46 | 2.65 | 2.30 | 2.13 | 3.30 | 2.41 | 2.44 | 3.16 | 3.06 | 2.46 |
2 | 2.92 | 0.00 | 2.39 | 2.26 | 2.42 | 2.67 | 2.03 | 2.76 | 2.32 | 2.16 | 2.08 | 2.41 |
3 | 2.46 | 2.39 | 0.00 | 2.18 | 2.16 | 2.16 | 2.48 | 2.55 | 1.88 | 2.60 | 2.47 | 1.87 |
4 | 2.65 | 2.26 | 2.18 | 0.00 | 2.29 | 2.66 | 2.56 | 2.56 | 1.94 | 2.24 | 2.36 | 2.04 |
5 | 2.30 | 2.42 | 2.16 | 2.29 | 0.00 | 2.10 | 2.83 | 2.54 | 2.34 | 2.82 | 2.65 | 2.26 |
6 | 2.13 | 2.67 | 2.16 | 2.66 | 2.10 | 0.00 | 2.84 | 2.41 | 2.37 | 3.01 | 2.59 | 2.24 |
7 | 3.30 | 2.03 | 2.48 | 2.56 | 2.83 | 2.84 | 0.00 | 2.93 | 2.44 | 2.27 | 1.75 | 2.52 |
8 | 2.41 | 2.76 | 2.55 | 2.56 | 2.54 | 2.41 | 2.93 | 0.00 | 2.36 | 2.77 | 2.76 | 2.39 |
9 | 2.44 | 2.32 | 1.88 | 1.94 | 2.34 | 2.37 | 2.44 | 2.36 | 0.00 | 2.40 | 2.27 | 1.84 |
10 | 3.16 | 2.16 | 2.60 | 2.24 | 2.82 | 3.01 | 2.27 | 2.77 | 2.40 | 0.00 | 2.13 | 2.60 |
11 | 3.06 | 2.08 | 2.47 | 2.36 | 2.65 | 2.59 | 1.75 | 2.76 | 2.27 | 2.13 | 0.00 | 2.52 |
12 | 2.46 | 2.41 | 1.87 | 2.04 | 2.26 | 2.24 | 2.52 | 2.39 | 1.84 | 2.60 | 2.52 | 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 | 0.66 | 0.64 | 0.69 | 0.73 | 0.61 | 0.68 | 0.69 | 0.60 | 0.62 | 0.66 |
2 | 0.62 | 1.00 | 0.69 | 0.71 | 0.72 | 0.64 | 0.77 | 0.65 | 0.69 | 0.74 | 0.72 | 0.71 |
3 | 0.66 | 0.69 | 1.00 | 0.72 | 0.73 | 0.71 | 0.68 | 0.69 | 0.79 | 0.69 | 0.66 | 0.77 |
4 | 0.64 | 0.71 | 0.72 | 1.00 | 0.71 | 0.63 | 0.70 | 0.65 | 0.74 | 0.72 | 0.70 | 0.73 |
5 | 0.69 | 0.72 | 0.73 | 0.71 | 1.00 | 0.72 | 0.69 | 0.69 | 0.71 | 0.68 | 0.67 | 0.74 |
6 | 0.73 | 0.64 | 0.71 | 0.63 | 0.72 | 1.00 | 0.61 | 0.72 | 0.67 | 0.62 | 0.66 | 0.70 |
7 | 0.61 | 0.77 | 0.68 | 0.70 | 0.69 | 0.61 | 1.00 | 0.63 | 0.69 | 0.73 | 0.81 | 0.68 |
8 | 0.68 | 0.65 | 0.69 | 0.65 | 0.69 | 0.72 | 0.63 | 1.00 | 0.68 | 0.66 | 0.63 | 0.68 |
9 | 0.69 | 0.69 | 0.79 | 0.74 | 0.71 | 0.67 | 0.69 | 0.68 | 1.00 | 0.71 | 0.68 | 0.76 |
10 | 0.60 | 0.74 | 0.69 | 0.72 | 0.68 | 0.62 | 0.73 | 0.66 | 0.71 | 1.00 | 0.74 | 0.67 |
11 | 0.62 | 0.72 | 0.66 | 0.70 | 0.67 | 0.66 | 0.81 | 0.63 | 0.68 | 0.74 | 1.00 | 0.66 |
12 | 0.66 | 0.71 | 0.77 | 0.73 | 0.74 | 0.70 | 0.68 | 0.68 | 0.76 | 0.67 | 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