Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 189.3 | 151.9 | 150.7 | 144.8 | 136.8 | 127.4 | 116.7 | 114.6 | 74.5 | 71.7 | 54.6 | 54.4 |
Cluster size | 285 | 222 | 223 | 214 | 212 | 173 | 155 | 156 | 104 | 107 | 74 | 75 |
Average cluster RMSD | 1.5 | 1.5 | 1.5 | 1.5 | 1.6 | 1.4 | 1.3 | 1.4 | 1.4 | 1.5 | 1.4 | 1.4 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 5.81 | 4.70 | 5.69 | 5.36 | 5.76 | 5.35 | 5.18 | 5.13 | 5.44 | 5.23 | 5.89 | 4.60 |
GDT_TS | 0.60 | 0.59 | 0.60 | 0.61 | 0.61 | 0.57 | 0.60 | 0.59 | 0.61 | 0.62 | 0.59 | 0.63 |
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 | 3.33 | 3.32 | 3.84 | 2.84 | 2.90 | 3.61 | 3.43 | 3.19 | 3.85 | 4.04 | 3.56 |
2 | 3.33 | 0.00 | 3.60 | 4.01 | 3.38 | 3.01 | 3.43 | 3.39 | 3.50 | 4.08 | 4.22 | 3.32 |
3 | 3.32 | 3.60 | 0.00 | 2.71 | 2.83 | 2.81 | 2.65 | 2.66 | 3.22 | 2.85 | 3.16 | 2.99 |
4 | 3.84 | 4.01 | 2.71 | 0.00 | 3.40 | 3.07 | 2.95 | 3.02 | 3.66 | 2.76 | 2.76 | 2.92 |
5 | 2.84 | 3.38 | 2.83 | 3.40 | 0.00 | 2.83 | 3.28 | 3.16 | 2.66 | 3.40 | 3.60 | 3.07 |
6 | 2.90 | 3.01 | 2.81 | 3.07 | 2.83 | 0.00 | 2.83 | 2.80 | 3.13 | 3.36 | 3.56 | 2.88 |
7 | 3.61 | 3.43 | 2.65 | 2.95 | 3.28 | 2.83 | 0.00 | 2.13 | 3.68 | 2.76 | 3.00 | 3.01 |
8 | 3.43 | 3.39 | 2.66 | 3.02 | 3.16 | 2.80 | 2.13 | 0.00 | 3.65 | 2.86 | 3.13 | 2.98 |
9 | 3.19 | 3.50 | 3.22 | 3.66 | 2.66 | 3.13 | 3.68 | 3.65 | 0.00 | 3.62 | 4.17 | 2.85 |
10 | 3.85 | 4.08 | 2.85 | 2.76 | 3.40 | 3.36 | 2.76 | 2.86 | 3.62 | 0.00 | 2.70 | 3.03 |
11 | 4.04 | 4.22 | 3.16 | 2.76 | 3.60 | 3.56 | 3.00 | 3.13 | 4.17 | 2.70 | 0.00 | 3.44 |
12 | 3.56 | 3.32 | 2.99 | 2.92 | 3.07 | 2.88 | 3.01 | 2.98 | 2.85 | 3.03 | 3.44 | 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 | 0.69 | 0.67 | 0.62 | 0.64 | 0.68 | 0.68 | 0.70 | 0.65 | 0.64 | 0.62 | 0.61 |
2 | 0.69 | 1.00 | 0.65 | 0.59 | 0.66 | 0.66 | 0.66 | 0.67 | 0.65 | 0.61 | 0.63 | 0.64 |
3 | 0.67 | 0.65 | 1.00 | 0.67 | 0.66 | 0.65 | 0.68 | 0.65 | 0.64 | 0.63 | 0.61 | 0.63 |
4 | 0.62 | 0.59 | 0.67 | 1.00 | 0.60 | 0.62 | 0.64 | 0.62 | 0.65 | 0.65 | 0.65 | 0.67 |
5 | 0.64 | 0.66 | 0.66 | 0.60 | 1.00 | 0.62 | 0.62 | 0.64 | 0.69 | 0.62 | 0.59 | 0.66 |
6 | 0.68 | 0.66 | 0.65 | 0.62 | 0.62 | 1.00 | 0.68 | 0.66 | 0.64 | 0.58 | 0.61 | 0.63 |
7 | 0.68 | 0.66 | 0.68 | 0.64 | 0.62 | 0.68 | 1.00 | 0.73 | 0.66 | 0.66 | 0.66 | 0.65 |
8 | 0.70 | 0.67 | 0.65 | 0.62 | 0.64 | 0.66 | 0.73 | 1.00 | 0.62 | 0.63 | 0.64 | 0.62 |
9 | 0.65 | 0.65 | 0.64 | 0.65 | 0.69 | 0.64 | 0.66 | 0.62 | 1.00 | 0.66 | 0.61 | 0.70 |
10 | 0.64 | 0.61 | 0.63 | 0.65 | 0.62 | 0.58 | 0.66 | 0.63 | 0.66 | 1.00 | 0.67 | 0.64 |
11 | 0.62 | 0.63 | 0.61 | 0.65 | 0.59 | 0.61 | 0.66 | 0.64 | 0.61 | 0.67 | 1.00 | 0.65 |
12 | 0.61 | 0.64 | 0.63 | 0.67 | 0.66 | 0.63 | 0.65 | 0.62 | 0.70 | 0.64 | 0.65 | 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