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 | 5.91 | 4.64 | 5.64 | 5.31 | 5.81 | 5.21 | 5.24 | 5.20 | 5.57 | 5.21 | 5.83 | 4.61 |
GDT_TS | 0.60 | 0.59 | 0.60 | 0.61 | 0.61 | 0.57 | 0.58 | 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 | 3.62 | 3.30 | 3.97 | 2.89 | 3.06 | 3.66 | 3.35 | 3.08 | 3.96 | 4.06 | 3.52 |
2 | 3.62 | 0.00 | 3.40 | 3.85 | 3.40 | 2.98 | 3.12 | 3.14 | 3.58 | 3.85 | 3.93 | 3.28 |
3 | 3.30 | 3.40 | 0.00 | 2.75 | 2.89 | 2.68 | 2.56 | 2.45 | 3.25 | 2.90 | 3.02 | 2.91 |
4 | 3.97 | 3.85 | 2.75 | 0.00 | 3.58 | 3.08 | 2.98 | 2.95 | 3.76 | 2.74 | 2.68 | 2.96 |
5 | 2.89 | 3.40 | 2.89 | 3.58 | 0.00 | 2.89 | 3.33 | 3.15 | 2.61 | 3.51 | 3.63 | 3.04 |
6 | 3.06 | 2.98 | 2.68 | 3.08 | 2.89 | 0.00 | 2.76 | 2.70 | 3.12 | 3.32 | 3.51 | 2.76 |
7 | 3.66 | 3.12 | 2.56 | 2.98 | 3.33 | 2.76 | 0.00 | 2.16 | 3.69 | 2.76 | 2.96 | 3.04 |
8 | 3.35 | 3.14 | 2.45 | 2.95 | 3.15 | 2.70 | 2.16 | 0.00 | 3.64 | 2.86 | 3.06 | 2.98 |
9 | 3.08 | 3.58 | 3.25 | 3.76 | 2.61 | 3.12 | 3.69 | 3.64 | 0.00 | 3.76 | 4.10 | 2.93 |
10 | 3.96 | 3.85 | 2.90 | 2.74 | 3.51 | 3.32 | 2.76 | 2.86 | 3.76 | 0.00 | 2.57 | 3.12 |
11 | 4.06 | 3.93 | 3.02 | 2.68 | 3.63 | 3.51 | 2.96 | 3.06 | 4.10 | 2.57 | 0.00 | 3.44 |
12 | 3.52 | 3.28 | 2.91 | 2.96 | 3.04 | 2.76 | 3.04 | 2.98 | 2.93 | 3.12 | 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 | 0.68 | 0.69 | 0.60 | 0.63 | 0.67 | 0.65 | 0.70 | 0.65 | 0.63 | 0.62 | 0.61 |
2 | 0.68 | 1.00 | 0.66 | 0.58 | 0.66 | 0.66 | 0.66 | 0.68 | 0.65 | 0.62 | 0.64 | 0.64 |
3 | 0.69 | 0.66 | 1.00 | 0.68 | 0.66 | 0.68 | 0.68 | 0.67 | 0.65 | 0.62 | 0.64 | 0.65 |
4 | 0.60 | 0.58 | 0.68 | 1.00 | 0.59 | 0.63 | 0.63 | 0.63 | 0.65 | 0.65 | 0.66 | 0.67 |
5 | 0.63 | 0.66 | 0.66 | 0.59 | 1.00 | 0.62 | 0.62 | 0.65 | 0.69 | 0.61 | 0.60 | 0.66 |
6 | 0.67 | 0.66 | 0.68 | 0.63 | 0.62 | 1.00 | 0.70 | 0.67 | 0.64 | 0.60 | 0.62 | 0.64 |
7 | 0.65 | 0.66 | 0.68 | 0.63 | 0.62 | 0.70 | 1.00 | 0.72 | 0.66 | 0.66 | 0.66 | 0.65 |
8 | 0.70 | 0.68 | 0.67 | 0.63 | 0.65 | 0.67 | 0.72 | 1.00 | 0.63 | 0.63 | 0.64 | 0.62 |
9 | 0.65 | 0.65 | 0.65 | 0.65 | 0.69 | 0.64 | 0.66 | 0.63 | 1.00 | 0.67 | 0.64 | 0.70 |
10 | 0.63 | 0.62 | 0.62 | 0.65 | 0.61 | 0.60 | 0.66 | 0.63 | 0.67 | 1.00 | 0.70 | 0.64 |
11 | 0.62 | 0.64 | 0.64 | 0.66 | 0.60 | 0.62 | 0.66 | 0.64 | 0.64 | 0.70 | 1.00 | 0.65 |
12 | 0.61 | 0.64 | 0.65 | 0.67 | 0.66 | 0.64 | 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