Project Name | M.R |
Project Name | M.R |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 166.9 | 108.3 | 103.9 | 102.4 | 96.2 | 84.1 | 76.0 | 66.5 | 63.3 | 60.6 | 48.3 | 41.6 |
Cluster size | 336 | 218 | 178 | 199 | 204 | 162 | 133 | 141 | 142 | 104 | 104 | 79 |
Average cluster RMSD | 2.0 | 2.0 | 1.7 | 1.9 | 2.1 | 1.9 | 1.8 | 2.1 | 2.2 | 1.7 | 2.2 | 1.9 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 7.05 | 7.06 | 6.12 | 6.24 | 5.98 | 6.45 | 5.47 | 5.86 | 5.97 | 7.40 | 5.65 | 6.08 |
GDT_TS | 0.35 | 0.35 | 0.40 | 0.40 | 0.40 | 0.37 | 0.44 | 0.42 | 0.41 | 0.34 | 0.41 | 0.39 |
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 | 2.84 | 5.40 | 4.71 | 6.04 | 3.28 | 4.87 | 4.45 | 6.24 | 2.96 | 4.57 | 5.40 |
2 | 2.84 | 0.00 | 5.44 | 4.82 | 6.21 | 3.54 | 4.94 | 4.67 | 6.53 | 2.71 | 4.78 | 5.63 |
3 | 5.40 | 5.44 | 0.00 | 3.45 | 3.37 | 4.01 | 3.40 | 4.33 | 3.96 | 5.66 | 4.71 | 3.41 |
4 | 4.71 | 4.82 | 3.45 | 0.00 | 4.17 | 4.06 | 3.13 | 3.35 | 4.07 | 5.06 | 4.20 | 3.24 |
5 | 6.04 | 6.21 | 3.37 | 4.17 | 0.00 | 4.76 | 3.55 | 4.64 | 3.35 | 6.43 | 5.05 | 3.40 |
6 | 3.28 | 3.54 | 4.01 | 4.06 | 4.76 | 0.00 | 3.67 | 4.00 | 5.14 | 3.90 | 4.19 | 4.67 |
7 | 4.87 | 4.94 | 3.40 | 3.13 | 3.55 | 3.67 | 0.00 | 3.33 | 4.06 | 5.11 | 3.50 | 3.82 |
8 | 4.45 | 4.67 | 4.33 | 3.35 | 4.64 | 4.00 | 3.33 | 0.00 | 4.22 | 4.77 | 3.19 | 4.11 |
9 | 6.24 | 6.53 | 3.96 | 4.07 | 3.35 | 5.14 | 4.06 | 4.22 | 0.00 | 6.79 | 4.73 | 3.60 |
10 | 2.96 | 2.71 | 5.66 | 5.06 | 6.43 | 3.90 | 5.11 | 4.77 | 6.79 | 0.00 | 4.83 | 5.82 |
11 | 4.57 | 4.78 | 4.71 | 4.20 | 5.05 | 4.19 | 3.50 | 3.19 | 4.73 | 4.83 | 0.00 | 4.68 |
12 | 5.40 | 5.63 | 3.41 | 3.24 | 3.40 | 4.67 | 3.82 | 4.11 | 3.60 | 5.82 | 4.68 | 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 | 0.48 | 0.55 | 0.49 | 0.64 | 0.56 | 0.56 | 0.48 | 0.64 | 0.54 | 0.51 |
2 | 0.65 | 1.00 | 0.48 | 0.54 | 0.46 | 0.59 | 0.54 | 0.55 | 0.48 | 0.67 | 0.51 | 0.51 |
3 | 0.48 | 0.48 | 1.00 | 0.65 | 0.59 | 0.53 | 0.62 | 0.56 | 0.54 | 0.51 | 0.54 | 0.66 |
4 | 0.55 | 0.54 | 0.65 | 1.00 | 0.55 | 0.56 | 0.67 | 0.61 | 0.56 | 0.55 | 0.56 | 0.61 |
5 | 0.49 | 0.46 | 0.59 | 0.55 | 1.00 | 0.52 | 0.58 | 0.57 | 0.69 | 0.49 | 0.51 | 0.65 |
6 | 0.64 | 0.59 | 0.53 | 0.56 | 0.52 | 1.00 | 0.63 | 0.61 | 0.50 | 0.56 | 0.61 | 0.53 |
7 | 0.56 | 0.54 | 0.62 | 0.67 | 0.58 | 0.63 | 1.00 | 0.67 | 0.56 | 0.56 | 0.63 | 0.60 |
8 | 0.56 | 0.55 | 0.56 | 0.61 | 0.57 | 0.61 | 0.67 | 1.00 | 0.56 | 0.56 | 0.64 | 0.58 |
9 | 0.48 | 0.48 | 0.54 | 0.56 | 0.69 | 0.50 | 0.56 | 0.56 | 1.00 | 0.49 | 0.50 | 0.59 |
10 | 0.64 | 0.67 | 0.51 | 0.55 | 0.49 | 0.56 | 0.56 | 0.56 | 0.49 | 1.00 | 0.53 | 0.53 |
11 | 0.54 | 0.51 | 0.54 | 0.56 | 0.51 | 0.61 | 0.63 | 0.64 | 0.50 | 0.53 | 1.00 | 0.54 |
12 | 0.51 | 0.51 | 0.66 | 0.61 | 0.65 | 0.53 | 0.60 | 0.58 | 0.59 | 0.53 | 0.54 | 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