Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 168.6 | 142.1 | 110.1 | 108.6 | 108.3 | 104.7 | 78.8 | 78.7 | 77.4 | 74.1 | 68.0 | 62.5 |
Cluster size | 289 | 235 | 187 | 190 | 187 | 172 | 140 | 128 | 145 | 105 | 131 | 91 |
Average cluster RMSD | 1.7 | 1.7 | 1.7 | 1.7 | 1.7 | 1.6 | 1.8 | 1.6 | 1.9 | 1.4 | 1.9 | 1.5 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 4.54 | 4.99 | 4.77 | 4.78 | 4.34 | 4.17 | 4.30 | 4.56 | 4.82 | 6.18 | 4.47 | 4.57 |
GDT_TS | 0.51 | 0.49 | 0.47 | 0.48 | 0.54 | 0.53 | 0.52 | 0.48 | 0.46 | 0.43 | 0.51 | 0.48 |
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 | 3.13 | 2.96 | 2.73 | 2.54 | 3.23 | 3.61 | 2.90 | 2.92 | 4.28 | 3.40 | 2.91 |
2 | 3.13 | 0.00 | 3.45 | 2.83 | 3.90 | 4.23 | 4.48 | 2.92 | 3.67 | 5.08 | 3.57 | 3.38 |
3 | 2.96 | 3.45 | 0.00 | 3.16 | 3.41 | 4.05 | 4.18 | 3.03 | 2.43 | 3.50 | 3.85 | 3.13 |
4 | 2.73 | 2.83 | 3.16 | 0.00 | 3.13 | 3.89 | 3.97 | 2.87 | 2.83 | 4.01 | 3.31 | 3.07 |
5 | 2.54 | 3.90 | 3.41 | 3.13 | 0.00 | 2.94 | 3.28 | 2.98 | 3.28 | 4.60 | 3.65 | 3.02 |
6 | 3.23 | 4.23 | 4.05 | 3.89 | 2.94 | 0.00 | 3.24 | 3.65 | 3.95 | 5.41 | 3.88 | 3.60 |
7 | 3.61 | 4.48 | 4.18 | 3.97 | 3.28 | 3.24 | 0.00 | 3.61 | 3.70 | 5.16 | 4.22 | 4.05 |
8 | 2.90 | 2.92 | 3.03 | 2.87 | 2.98 | 3.65 | 3.61 | 0.00 | 3.11 | 4.50 | 3.27 | 2.83 |
9 | 2.92 | 3.67 | 2.43 | 2.83 | 3.28 | 3.95 | 3.70 | 3.11 | 0.00 | 3.54 | 3.81 | 3.16 |
10 | 4.28 | 5.08 | 3.50 | 4.01 | 4.60 | 5.41 | 5.16 | 4.50 | 3.54 | 0.00 | 4.82 | 4.84 |
11 | 3.40 | 3.57 | 3.85 | 3.31 | 3.65 | 3.88 | 4.22 | 3.27 | 3.81 | 4.82 | 0.00 | 3.90 |
12 | 2.91 | 3.38 | 3.13 | 3.07 | 3.02 | 3.60 | 4.05 | 2.83 | 3.16 | 4.84 | 3.90 | 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 | 0.63 | 0.63 | 0.70 | 0.65 | 0.61 | 0.63 | 0.63 | 0.56 | 0.57 | 0.61 |
2 | 0.62 | 1.00 | 0.61 | 0.65 | 0.59 | 0.60 | 0.55 | 0.63 | 0.59 | 0.55 | 0.58 | 0.61 |
3 | 0.63 | 0.61 | 1.00 | 0.63 | 0.60 | 0.56 | 0.57 | 0.60 | 0.70 | 0.65 | 0.53 | 0.62 |
4 | 0.63 | 0.65 | 0.63 | 1.00 | 0.63 | 0.60 | 0.56 | 0.62 | 0.63 | 0.55 | 0.57 | 0.64 |
5 | 0.70 | 0.59 | 0.60 | 0.63 | 1.00 | 0.65 | 0.62 | 0.64 | 0.62 | 0.56 | 0.56 | 0.60 |
6 | 0.65 | 0.60 | 0.56 | 0.60 | 0.65 | 1.00 | 0.59 | 0.57 | 0.56 | 0.53 | 0.57 | 0.57 |
7 | 0.61 | 0.55 | 0.57 | 0.56 | 0.62 | 0.59 | 1.00 | 0.60 | 0.57 | 0.55 | 0.55 | 0.56 |
8 | 0.63 | 0.63 | 0.60 | 0.62 | 0.64 | 0.57 | 0.60 | 1.00 | 0.63 | 0.55 | 0.58 | 0.66 |
9 | 0.63 | 0.59 | 0.70 | 0.63 | 0.62 | 0.56 | 0.57 | 0.63 | 1.00 | 0.62 | 0.54 | 0.63 |
10 | 0.56 | 0.55 | 0.65 | 0.55 | 0.56 | 0.53 | 0.55 | 0.55 | 0.62 | 1.00 | 0.49 | 0.55 |
11 | 0.57 | 0.58 | 0.53 | 0.57 | 0.56 | 0.57 | 0.55 | 0.58 | 0.54 | 0.49 | 1.00 | 0.53 |
12 | 0.61 | 0.61 | 0.62 | 0.64 | 0.60 | 0.57 | 0.56 | 0.66 | 0.63 | 0.55 | 0.53 | 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