Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 345.0 | 228.2 | 163.3 | 130.3 | 127.9 | 106.7 | 73.0 | 69.8 | 64.5 | 45.8 | 36.0 | 33.1 |
Cluster size | 384 | 278 | 208 | 218 | 201 | 188 | 122 | 79 | 119 | 96 | 55 | 52 |
Average cluster RMSD | 1.1 | 1.2 | 1.3 | 1.7 | 1.6 | 1.8 | 1.7 | 1.1 | 1.8 | 2.1 | 1.5 | 1.6 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 3.50 | 2.55 | 3.63 | 3.22 | 3.44 | 3.10 | 2.92 | 2.98 | 2.94 | 3.22 | 2.26 | 2.82 |
GDT_TS | 0.63 | 0.70 | 0.62 | 0.70 | 0.65 | 0.65 | 0.68 | 0.70 | 0.67 | 0.64 | 0.73 | 0.70 |
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 | 3.52 | 1.55 | 3.77 | 1.03 | 2.24 | 2.30 | 3.03 | 2.27 | 2.25 | 3.87 | 3.27 |
2 | 3.52 | 0.00 | 2.99 | 1.34 | 3.45 | 3.26 | 2.98 | 3.66 | 3.19 | 2.75 | 3.07 | 3.92 |
3 | 1.55 | 2.99 | 0.00 | 3.25 | 1.66 | 2.52 | 1.96 | 3.14 | 2.40 | 1.78 | 3.93 | 3.55 |
4 | 3.77 | 1.34 | 3.25 | 0.00 | 3.71 | 3.46 | 3.34 | 3.82 | 3.53 | 3.05 | 3.57 | 4.36 |
5 | 1.03 | 3.45 | 1.66 | 3.71 | 0.00 | 2.02 | 2.20 | 2.95 | 2.22 | 2.07 | 3.85 | 3.28 |
6 | 2.24 | 3.26 | 2.52 | 3.46 | 2.02 | 0.00 | 1.96 | 2.20 | 1.23 | 1.99 | 3.26 | 2.46 |
7 | 2.30 | 2.98 | 1.96 | 3.34 | 2.20 | 1.96 | 0.00 | 2.59 | 1.56 | 1.77 | 3.29 | 2.69 |
8 | 3.03 | 3.66 | 3.14 | 3.82 | 2.95 | 2.20 | 2.59 | 0.00 | 2.41 | 2.79 | 2.95 | 1.47 |
9 | 2.27 | 3.19 | 2.40 | 3.53 | 2.22 | 1.23 | 1.56 | 2.41 | 0.00 | 1.85 | 3.06 | 2.38 |
10 | 2.25 | 2.75 | 1.78 | 3.05 | 2.07 | 1.99 | 1.77 | 2.79 | 1.85 | 0.00 | 3.58 | 3.19 |
11 | 3.87 | 3.07 | 3.93 | 3.57 | 3.85 | 3.26 | 3.29 | 2.95 | 3.06 | 3.58 | 0.00 | 2.76 |
12 | 3.27 | 3.92 | 3.55 | 4.36 | 3.28 | 2.46 | 2.69 | 1.47 | 2.38 | 3.19 | 2.76 | 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 | 0.86 | 0.67 | 0.93 | 0.86 | 0.77 | 0.76 | 0.87 | 0.75 | 0.67 | 0.79 |
2 | 0.65 | 1.00 | 0.77 | 0.86 | 0.67 | 0.69 | 0.73 | 0.65 | 0.70 | 0.79 | 0.65 | 0.63 |
3 | 0.86 | 0.77 | 1.00 | 0.74 | 0.84 | 0.80 | 0.86 | 0.75 | 0.82 | 0.86 | 0.63 | 0.71 |
4 | 0.67 | 0.86 | 0.74 | 1.00 | 0.67 | 0.65 | 0.68 | 0.65 | 0.67 | 0.73 | 0.67 | 0.59 |
5 | 0.93 | 0.67 | 0.84 | 0.67 | 1.00 | 0.90 | 0.79 | 0.79 | 0.86 | 0.77 | 0.65 | 0.80 |
6 | 0.86 | 0.69 | 0.80 | 0.65 | 0.90 | 1.00 | 0.79 | 0.76 | 0.89 | 0.79 | 0.67 | 0.76 |
7 | 0.77 | 0.73 | 0.86 | 0.68 | 0.79 | 0.79 | 1.00 | 0.76 | 0.82 | 0.81 | 0.65 | 0.74 |
8 | 0.76 | 0.65 | 0.75 | 0.65 | 0.79 | 0.76 | 0.76 | 1.00 | 0.79 | 0.71 | 0.69 | 0.89 |
9 | 0.87 | 0.70 | 0.82 | 0.67 | 0.86 | 0.89 | 0.82 | 0.79 | 1.00 | 0.81 | 0.67 | 0.74 |
10 | 0.75 | 0.79 | 0.86 | 0.73 | 0.77 | 0.79 | 0.81 | 0.71 | 0.81 | 1.00 | 0.62 | 0.67 |
11 | 0.67 | 0.65 | 0.63 | 0.67 | 0.65 | 0.67 | 0.65 | 0.69 | 0.67 | 0.62 | 1.00 | 0.77 |
12 | 0.79 | 0.63 | 0.71 | 0.59 | 0.80 | 0.76 | 0.74 | 0.89 | 0.74 | 0.67 | 0.77 | 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