Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 145.1 | 132.1 | 129.5 | 128.5 | 128.4 | 99.4 | 93.5 | 90.9 | 90.2 | 83.1 | 76.0 | 69.3 |
Cluster size | 217 | 213 | 200 | 208 | 212 | 166 | 159 | 140 | 144 | 122 | 111 | 108 |
Average cluster RMSD | 1.5 | 1.6 | 1.5 | 1.6 | 1.7 | 1.7 | 1.7 | 1.5 | 1.6 | 1.5 | 1.5 | 1.6 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 4.24 | 4.73 | 3.99 | 4.28 | 4.53 | 4.37 | 4.63 | 5.75 | 4.58 | 5.01 | 5.07 | 5.43 |
GDT_TS | 0.53 | 0.50 | 0.53 | 0.51 | 0.51 | 0.51 | 0.48 | 0.45 | 0.50 | 0.47 | 0.48 | 0.46 |
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 | 2.69 | 2.76 | 2.69 | 2.85 | 3.39 | 3.52 | 3.82 | 2.43 | 3.18 | 3.23 | 3.40 |
2 | 2.69 | 0.00 | 2.98 | 2.97 | 3.12 | 3.96 | 3.44 | 3.56 | 2.63 | 3.17 | 3.63 | 2.93 |
3 | 2.76 | 2.98 | 0.00 | 2.89 | 3.48 | 3.72 | 3.84 | 4.37 | 2.74 | 3.76 | 3.46 | 3.94 |
4 | 2.69 | 2.97 | 2.89 | 0.00 | 3.06 | 2.82 | 3.65 | 4.07 | 2.62 | 3.72 | 2.87 | 3.80 |
5 | 2.85 | 3.12 | 3.48 | 3.06 | 0.00 | 3.98 | 2.84 | 3.34 | 2.78 | 2.99 | 3.76 | 2.81 |
6 | 3.39 | 3.96 | 3.72 | 2.82 | 3.98 | 0.00 | 4.49 | 5.23 | 3.86 | 4.57 | 3.72 | 4.86 |
7 | 3.52 | 3.44 | 3.84 | 3.65 | 2.84 | 4.49 | 0.00 | 2.93 | 3.54 | 2.78 | 4.20 | 3.42 |
8 | 3.82 | 3.56 | 4.37 | 4.07 | 3.34 | 5.23 | 2.93 | 0.00 | 3.40 | 2.72 | 4.25 | 3.29 |
9 | 2.43 | 2.63 | 2.74 | 2.62 | 2.78 | 3.86 | 3.54 | 3.40 | 0.00 | 3.19 | 2.82 | 3.15 |
10 | 3.18 | 3.17 | 3.76 | 3.72 | 2.99 | 4.57 | 2.78 | 2.72 | 3.19 | 0.00 | 3.81 | 3.14 |
11 | 3.23 | 3.63 | 3.46 | 2.87 | 3.76 | 3.72 | 4.20 | 4.25 | 2.82 | 3.81 | 0.00 | 4.40 |
12 | 3.40 | 2.93 | 3.94 | 3.80 | 2.81 | 4.86 | 3.42 | 3.29 | 3.15 | 3.14 | 4.40 | 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 | 0.66 | 0.61 | 0.64 | 0.65 | 0.58 | 0.60 | 0.56 | 0.66 | 0.61 | 0.57 | 0.60 |
2 | 0.66 | 1.00 | 0.63 | 0.67 | 0.60 | 0.55 | 0.60 | 0.57 | 0.69 | 0.60 | 0.58 | 0.60 |
3 | 0.61 | 0.63 | 1.00 | 0.64 | 0.58 | 0.55 | 0.55 | 0.50 | 0.65 | 0.57 | 0.58 | 0.54 |
4 | 0.64 | 0.67 | 0.64 | 1.00 | 0.62 | 0.64 | 0.58 | 0.56 | 0.67 | 0.55 | 0.67 | 0.55 |
5 | 0.65 | 0.60 | 0.58 | 0.62 | 1.00 | 0.55 | 0.64 | 0.60 | 0.66 | 0.63 | 0.60 | 0.64 |
6 | 0.58 | 0.55 | 0.55 | 0.64 | 0.55 | 1.00 | 0.52 | 0.47 | 0.55 | 0.49 | 0.54 | 0.48 |
7 | 0.60 | 0.60 | 0.55 | 0.58 | 0.64 | 0.52 | 1.00 | 0.63 | 0.58 | 0.64 | 0.57 | 0.58 |
8 | 0.56 | 0.57 | 0.50 | 0.56 | 0.60 | 0.47 | 0.63 | 1.00 | 0.59 | 0.65 | 0.56 | 0.58 |
9 | 0.66 | 0.69 | 0.65 | 0.67 | 0.66 | 0.55 | 0.58 | 0.59 | 1.00 | 0.61 | 0.66 | 0.60 |
10 | 0.61 | 0.60 | 0.57 | 0.55 | 0.63 | 0.49 | 0.64 | 0.65 | 0.61 | 1.00 | 0.55 | 0.62 |
11 | 0.57 | 0.58 | 0.58 | 0.67 | 0.60 | 0.54 | 0.57 | 0.56 | 0.66 | 0.55 | 1.00 | 0.52 |
12 | 0.60 | 0.60 | 0.54 | 0.55 | 0.64 | 0.48 | 0.58 | 0.58 | 0.60 | 0.62 | 0.52 | 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