Project Name | lbpro |
Project Name | lbpro |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 221.1 | 195.9 | 141.7 | 132.9 | 132.8 | 125.5 | 124.2 | 110.0 | 108.0 | 103.2 | 85.1 | 69.0 |
Cluster size | 296 | 236 | 194 | 182 | 162 | 153 | 171 | 129 | 137 | 137 | 109 | 94 |
Average cluster RMSD | 1.3 | 1.2 | 1.4 | 1.4 | 1.2 | 1.2 | 1.4 | 1.2 | 1.3 | 1.3 | 1.3 | 1.4 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 2.79 | 2.84 | 3.05 | 2.82 | 2.97 | 2.98 | 2.70 | 3.09 | 2.99 | 2.73 | 3.06 | 2.80 |
GDT_TS | 0.65 | 0.66 | 0.65 | 0.67 | 0.66 | 0.66 | 0.66 | 0.66 | 0.66 | 0.67 | 0.63 | 0.67 |
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 | 3.15 | 1.76 | 1.66 | 2.33 | 2.55 | 1.58 | 3.60 | 1.98 | 1.83 | 2.82 | 2.46 |
2 | 3.15 | 0.00 | 3.19 | 3.07 | 2.38 | 2.94 | 3.02 | 2.15 | 3.07 | 3.03 | 2.74 | 2.39 |
3 | 1.76 | 3.19 | 0.00 | 2.02 | 2.41 | 2.64 | 1.89 | 3.62 | 2.08 | 2.03 | 2.83 | 2.52 |
4 | 1.66 | 3.07 | 2.02 | 0.00 | 2.40 | 2.65 | 1.84 | 3.54 | 2.27 | 2.02 | 2.85 | 2.58 |
5 | 2.33 | 2.38 | 2.41 | 2.40 | 0.00 | 2.40 | 2.48 | 2.68 | 2.64 | 2.44 | 2.22 | 2.00 |
6 | 2.55 | 2.94 | 2.64 | 2.65 | 2.40 | 0.00 | 2.51 | 3.38 | 2.81 | 2.58 | 2.02 | 2.23 |
7 | 1.58 | 3.02 | 1.89 | 1.84 | 2.48 | 2.51 | 0.00 | 3.51 | 2.01 | 1.86 | 2.75 | 2.55 |
8 | 3.60 | 2.15 | 3.62 | 3.54 | 2.68 | 3.38 | 3.51 | 0.00 | 3.52 | 3.36 | 3.28 | 3.02 |
9 | 1.98 | 3.07 | 2.08 | 2.27 | 2.64 | 2.81 | 2.01 | 3.52 | 0.00 | 1.83 | 2.88 | 2.51 |
10 | 1.83 | 3.03 | 2.03 | 2.02 | 2.44 | 2.58 | 1.86 | 3.36 | 1.83 | 0.00 | 2.63 | 2.55 |
11 | 2.82 | 2.74 | 2.83 | 2.85 | 2.22 | 2.02 | 2.75 | 3.28 | 2.88 | 2.63 | 0.00 | 2.11 |
12 | 2.46 | 2.39 | 2.52 | 2.58 | 2.00 | 2.23 | 2.55 | 3.02 | 2.51 | 2.55 | 2.11 | 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 | 0.63 | 0.79 | 0.80 | 0.75 | 0.68 | 0.81 | 0.65 | 0.78 | 0.78 | 0.67 | 0.70 |
2 | 0.63 | 1.00 | 0.64 | 0.64 | 0.72 | 0.69 | 0.66 | 0.74 | 0.67 | 0.65 | 0.71 | 0.75 |
3 | 0.79 | 0.64 | 1.00 | 0.77 | 0.72 | 0.74 | 0.79 | 0.64 | 0.74 | 0.75 | 0.68 | 0.69 |
4 | 0.80 | 0.64 | 0.77 | 1.00 | 0.72 | 0.70 | 0.78 | 0.62 | 0.76 | 0.78 | 0.66 | 0.68 |
5 | 0.75 | 0.72 | 0.72 | 0.72 | 1.00 | 0.75 | 0.71 | 0.72 | 0.71 | 0.72 | 0.75 | 0.74 |
6 | 0.68 | 0.69 | 0.74 | 0.70 | 0.75 | 1.00 | 0.72 | 0.69 | 0.69 | 0.70 | 0.75 | 0.73 |
7 | 0.81 | 0.66 | 0.79 | 0.78 | 0.71 | 0.72 | 1.00 | 0.63 | 0.76 | 0.78 | 0.67 | 0.69 |
8 | 0.65 | 0.74 | 0.64 | 0.62 | 0.72 | 0.69 | 0.63 | 1.00 | 0.64 | 0.65 | 0.67 | 0.67 |
9 | 0.78 | 0.67 | 0.74 | 0.76 | 0.71 | 0.69 | 0.76 | 0.64 | 1.00 | 0.78 | 0.64 | 0.71 |
10 | 0.78 | 0.65 | 0.75 | 0.78 | 0.72 | 0.70 | 0.78 | 0.65 | 0.78 | 1.00 | 0.68 | 0.68 |
11 | 0.67 | 0.71 | 0.68 | 0.66 | 0.75 | 0.75 | 0.67 | 0.67 | 0.64 | 0.68 | 1.00 | 0.75 |
12 | 0.70 | 0.75 | 0.69 | 0.68 | 0.74 | 0.73 | 0.69 | 0.67 | 0.71 | 0.68 | 0.75 | 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