Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 159.3 | 145.8 | 135.8 | 125.6 | 122.0 | 113.2 | 110.3 | 101.5 | 89.4 | 65.7 | 58.7 | 41.1 |
Cluster size | 266 | 233 | 213 | 204 | 201 | 178 | 180 | 145 | 132 | 93 | 83 | 72 |
Average cluster RMSD | 1.7 | 1.6 | 1.6 | 1.6 | 1.6 | 1.6 | 1.6 | 1.4 | 1.5 | 1.4 | 1.4 | 1.8 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 5.85 | 5.47 | 5.23 | 4.69 | 5.58 | 3.35 | 4.92 | 4.01 | 3.67 | 3.71 | 4.43 | 4.46 |
GDT_TS | 0.61 | 0.56 | 0.59 | 0.60 | 0.60 | 0.62 | 0.61 | 0.61 | 0.59 | 0.60 | 0.59 | 0.58 |
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 | 2.79 | 2.79 | 3.00 | 2.89 | 6.18 | 3.62 | 5.95 | 5.70 | 6.46 | 5.50 | 6.10 |
2 | 2.79 | 0.00 | 2.86 | 3.21 | 2.94 | 5.80 | 3.90 | 5.89 | 5.63 | 5.90 | 5.63 | 5.86 |
3 | 2.79 | 2.86 | 0.00 | 2.76 | 3.33 | 5.55 | 2.59 | 5.39 | 5.17 | 5.98 | 4.49 | 5.29 |
4 | 3.00 | 3.21 | 2.76 | 0.00 | 3.60 | 5.16 | 2.90 | 5.61 | 5.07 | 5.67 | 4.44 | 5.46 |
5 | 2.89 | 2.94 | 3.33 | 3.60 | 0.00 | 6.00 | 4.18 | 5.78 | 5.63 | 6.05 | 6.00 | 6.21 |
6 | 6.18 | 5.80 | 5.55 | 5.16 | 6.00 | 0.00 | 5.32 | 3.34 | 2.62 | 2.91 | 4.17 | 3.46 |
7 | 3.62 | 3.90 | 2.59 | 2.90 | 4.18 | 5.32 | 0.00 | 5.08 | 4.89 | 6.01 | 3.69 | 4.85 |
8 | 5.95 | 5.89 | 5.39 | 5.61 | 5.78 | 3.34 | 5.08 | 0.00 | 2.43 | 3.97 | 3.79 | 2.91 |
9 | 5.70 | 5.63 | 5.17 | 5.07 | 5.63 | 2.62 | 4.89 | 2.43 | 0.00 | 3.37 | 3.64 | 2.91 |
10 | 6.46 | 5.90 | 5.98 | 5.67 | 6.05 | 2.91 | 6.01 | 3.97 | 3.37 | 0.00 | 5.20 | 4.19 |
11 | 5.50 | 5.63 | 4.49 | 4.44 | 6.00 | 4.17 | 3.69 | 3.79 | 3.64 | 5.20 | 0.00 | 3.36 |
12 | 6.10 | 5.86 | 5.29 | 5.46 | 6.21 | 3.46 | 4.85 | 2.91 | 2.91 | 4.19 | 3.36 | 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 | 0.65 | 0.68 | 0.73 | 0.65 | 0.62 | 0.69 | 0.67 | 0.65 | 0.58 | 0.66 | 0.64 |
2 | 0.65 | 1.00 | 0.68 | 0.61 | 0.63 | 0.58 | 0.64 | 0.64 | 0.62 | 0.58 | 0.60 | 0.66 |
3 | 0.68 | 0.68 | 1.00 | 0.68 | 0.67 | 0.63 | 0.73 | 0.68 | 0.64 | 0.60 | 0.67 | 0.65 |
4 | 0.73 | 0.61 | 0.68 | 1.00 | 0.68 | 0.65 | 0.68 | 0.67 | 0.66 | 0.59 | 0.70 | 0.64 |
5 | 0.65 | 0.63 | 0.67 | 0.68 | 1.00 | 0.61 | 0.69 | 0.67 | 0.64 | 0.59 | 0.67 | 0.66 |
6 | 0.62 | 0.58 | 0.63 | 0.65 | 0.61 | 1.00 | 0.62 | 0.65 | 0.70 | 0.63 | 0.68 | 0.63 |
7 | 0.69 | 0.64 | 0.73 | 0.68 | 0.69 | 0.62 | 1.00 | 0.69 | 0.65 | 0.59 | 0.65 | 0.66 |
8 | 0.67 | 0.64 | 0.68 | 0.67 | 0.67 | 0.65 | 0.69 | 1.00 | 0.71 | 0.60 | 0.70 | 0.69 |
9 | 0.65 | 0.62 | 0.64 | 0.66 | 0.64 | 0.70 | 0.65 | 0.71 | 1.00 | 0.62 | 0.69 | 0.65 |
10 | 0.58 | 0.58 | 0.60 | 0.59 | 0.59 | 0.63 | 0.59 | 0.60 | 0.62 | 1.00 | 0.59 | 0.58 |
11 | 0.66 | 0.60 | 0.67 | 0.70 | 0.67 | 0.68 | 0.65 | 0.70 | 0.69 | 0.59 | 1.00 | 0.67 |
12 | 0.64 | 0.66 | 0.65 | 0.64 | 0.66 | 0.63 | 0.66 | 0.69 | 0.65 | 0.58 | 0.67 | 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