Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 133.3 | 104.1 | 101.4 | 98.4 | 85.1 | 64.7 | 62.4 | 52.0 | 49.6 | 44.8 | 29.1 | 16.3 |
Cluster size | 294 | 247 | 230 | 245 | 180 | 180 | 153 | 136 | 107 | 126 | 66 | 36 |
Average cluster RMSD | 2.2 | 2.4 | 2.3 | 2.5 | 2.1 | 2.8 | 2.5 | 2.6 | 2.2 | 2.8 | 2.3 | 2.2 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 8.58 | 8.81 | 9.41 | 8.45 | 9.05 | 8.68 | 9.01 | 8.49 | 8.66 | 8.32 | 9.85 | 9.61 |
GDT_TS | 0.47 | 0.50 | 0.49 | 0.49 | 0.46 | 0.53 | 0.52 | 0.53 | 0.49 | 0.53 | 0.52 | 0.50 |
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 | 3.28 | 2.19 | 3.08 | 2.77 | 2.85 | 3.45 | 4.32 | 5.32 | 2.79 | 5.27 | 4.13 |
2 | 3.28 | 0.00 | 3.38 | 2.52 | 4.08 | 3.75 | 1.75 | 4.90 | 6.50 | 3.80 | 6.26 | 3.18 |
3 | 2.19 | 3.38 | 0.00 | 3.18 | 2.36 | 2.56 | 3.32 | 4.88 | 6.16 | 3.12 | 5.29 | 4.16 |
4 | 3.08 | 2.52 | 3.18 | 0.00 | 3.57 | 2.75 | 2.72 | 3.75 | 5.24 | 2.88 | 5.23 | 4.03 |
5 | 2.77 | 4.08 | 2.36 | 3.57 | 0.00 | 2.21 | 3.93 | 5.04 | 6.00 | 3.69 | 5.10 | 5.22 |
6 | 2.85 | 3.75 | 2.56 | 2.75 | 2.21 | 0.00 | 3.81 | 3.71 | 5.02 | 2.65 | 4.26 | 5.06 |
7 | 3.45 | 1.75 | 3.32 | 2.72 | 3.93 | 3.81 | 0.00 | 5.24 | 6.79 | 4.10 | 6.49 | 2.98 |
8 | 4.32 | 4.90 | 4.88 | 3.75 | 5.04 | 3.71 | 5.24 | 0.00 | 3.17 | 2.68 | 4.05 | 6.04 |
9 | 5.32 | 6.50 | 6.16 | 5.24 | 6.00 | 5.02 | 6.79 | 3.17 | 0.00 | 4.28 | 3.93 | 7.66 |
10 | 2.79 | 3.80 | 3.12 | 2.88 | 3.69 | 2.65 | 4.10 | 2.68 | 4.28 | 0.00 | 4.28 | 4.91 |
11 | 5.27 | 6.26 | 5.29 | 5.23 | 5.10 | 4.26 | 6.49 | 4.05 | 3.93 | 4.28 | 0.00 | 7.51 |
12 | 4.13 | 3.18 | 4.16 | 4.03 | 5.22 | 5.06 | 2.98 | 6.04 | 7.66 | 4.91 | 7.51 | 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 | 0.74 | 0.65 | 0.71 | 0.69 | 0.64 | 0.64 | 0.68 | 0.74 | 0.62 | 0.58 |
2 | 0.65 | 1.00 | 0.66 | 0.76 | 0.62 | 0.68 | 0.82 | 0.71 | 0.65 | 0.70 | 0.65 | 0.70 |
3 | 0.74 | 0.66 | 1.00 | 0.70 | 0.71 | 0.74 | 0.69 | 0.64 | 0.68 | 0.81 | 0.68 | 0.66 |
4 | 0.65 | 0.76 | 0.70 | 1.00 | 0.63 | 0.72 | 0.78 | 0.66 | 0.67 | 0.72 | 0.70 | 0.69 |
5 | 0.71 | 0.62 | 0.71 | 0.63 | 1.00 | 0.76 | 0.61 | 0.61 | 0.64 | 0.67 | 0.63 | 0.63 |
6 | 0.69 | 0.68 | 0.74 | 0.72 | 0.76 | 1.00 | 0.70 | 0.75 | 0.71 | 0.74 | 0.74 | 0.68 |
7 | 0.64 | 0.82 | 0.69 | 0.78 | 0.61 | 0.70 | 1.00 | 0.69 | 0.69 | 0.72 | 0.70 | 0.77 |
8 | 0.64 | 0.71 | 0.64 | 0.66 | 0.61 | 0.75 | 0.69 | 1.00 | 0.76 | 0.76 | 0.72 | 0.71 |
9 | 0.68 | 0.65 | 0.68 | 0.67 | 0.64 | 0.71 | 0.69 | 0.76 | 1.00 | 0.71 | 0.75 | 0.74 |
10 | 0.74 | 0.70 | 0.81 | 0.72 | 0.67 | 0.74 | 0.72 | 0.76 | 0.71 | 1.00 | 0.71 | 0.69 |
11 | 0.62 | 0.65 | 0.68 | 0.70 | 0.63 | 0.74 | 0.70 | 0.72 | 0.75 | 0.71 | 1.00 | 0.76 |
12 | 0.58 | 0.70 | 0.66 | 0.69 | 0.63 | 0.68 | 0.77 | 0.71 | 0.74 | 0.69 | 0.76 | 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