Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 161.5 | 157.7 | 141.0 | 120.0 | 110.1 | 109.0 | 106.6 | 106.2 | 105.0 | 91.5 | 75.8 | 32.9 |
Cluster size | 268 | 242 | 202 | 196 | 159 | 170 | 150 | 138 | 175 | 123 | 131 | 46 |
Average cluster RMSD | 1.7 | 1.5 | 1.4 | 1.6 | 1.4 | 1.6 | 1.4 | 1.3 | 1.7 | 1.3 | 1.7 | 1.4 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 5.97 | 6.17 | 4.86 | 3.65 | 5.99 | 6.99 | 5.18 | 5.35 | 6.09 | 6.86 | 5.98 | 3.98 |
GDT_TS | 0.58 | 0.59 | 0.60 | 0.61 | 0.59 | 0.54 | 0.59 | 0.56 | 0.56 | 0.53 | 0.55 | 0.57 |
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 | 2.44 | 3.47 | 5.08 | 2.85 | 2.99 | 3.03 | 3.16 | 2.74 | 3.42 | 2.52 | 4.61 |
2 | 2.44 | 0.00 | 3.51 | 5.28 | 2.96 | 2.80 | 2.91 | 3.34 | 3.16 | 3.59 | 2.90 | 4.75 |
3 | 3.47 | 3.51 | 0.00 | 3.41 | 3.98 | 4.62 | 2.52 | 3.02 | 3.36 | 3.71 | 3.49 | 3.08 |
4 | 5.08 | 5.28 | 3.41 | 0.00 | 5.11 | 6.08 | 4.01 | 3.89 | 4.80 | 5.34 | 4.66 | 2.35 |
5 | 2.85 | 2.96 | 3.98 | 5.11 | 0.00 | 2.79 | 3.55 | 3.38 | 3.72 | 4.38 | 2.87 | 4.71 |
6 | 2.99 | 2.80 | 4.62 | 6.08 | 2.79 | 0.00 | 3.93 | 4.01 | 3.89 | 4.31 | 3.30 | 5.74 |
7 | 3.03 | 2.91 | 2.52 | 4.01 | 3.55 | 3.93 | 0.00 | 3.06 | 3.09 | 3.59 | 3.25 | 3.57 |
8 | 3.16 | 3.34 | 3.02 | 3.89 | 3.38 | 4.01 | 3.06 | 0.00 | 3.02 | 3.52 | 2.76 | 3.64 |
9 | 2.74 | 3.16 | 3.36 | 4.80 | 3.72 | 3.89 | 3.09 | 3.02 | 0.00 | 2.32 | 2.67 | 4.41 |
10 | 3.42 | 3.59 | 3.71 | 5.34 | 4.38 | 4.31 | 3.59 | 3.52 | 2.32 | 0.00 | 3.29 | 4.87 |
11 | 2.52 | 2.90 | 3.49 | 4.66 | 2.87 | 3.30 | 3.25 | 2.76 | 2.67 | 3.29 | 0.00 | 4.34 |
12 | 4.61 | 4.75 | 3.08 | 2.35 | 4.71 | 5.74 | 3.57 | 3.64 | 4.41 | 4.87 | 4.34 | 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 | 0.67 | 0.60 | 0.59 | 0.68 | 0.65 | 0.60 | 0.68 | 0.68 | 0.62 | 0.72 | 0.58 |
2 | 0.67 | 1.00 | 0.65 | 0.63 | 0.67 | 0.64 | 0.66 | 0.67 | 0.63 | 0.60 | 0.65 | 0.63 |
3 | 0.60 | 0.65 | 1.00 | 0.69 | 0.61 | 0.55 | 0.70 | 0.63 | 0.58 | 0.57 | 0.60 | 0.67 |
4 | 0.59 | 0.63 | 0.69 | 1.00 | 0.62 | 0.58 | 0.66 | 0.60 | 0.58 | 0.58 | 0.59 | 0.70 |
5 | 0.68 | 0.67 | 0.61 | 0.62 | 1.00 | 0.66 | 0.62 | 0.71 | 0.69 | 0.64 | 0.69 | 0.59 |
6 | 0.65 | 0.64 | 0.55 | 0.58 | 0.66 | 1.00 | 0.58 | 0.66 | 0.65 | 0.60 | 0.65 | 0.54 |
7 | 0.60 | 0.66 | 0.70 | 0.66 | 0.62 | 0.58 | 1.00 | 0.64 | 0.58 | 0.56 | 0.58 | 0.65 |
8 | 0.68 | 0.67 | 0.63 | 0.60 | 0.71 | 0.66 | 0.64 | 1.00 | 0.70 | 0.67 | 0.69 | 0.59 |
9 | 0.68 | 0.63 | 0.58 | 0.58 | 0.69 | 0.65 | 0.58 | 0.70 | 1.00 | 0.71 | 0.74 | 0.58 |
10 | 0.62 | 0.60 | 0.57 | 0.58 | 0.64 | 0.60 | 0.56 | 0.67 | 0.71 | 1.00 | 0.66 | 0.59 |
11 | 0.72 | 0.65 | 0.60 | 0.59 | 0.69 | 0.65 | 0.58 | 0.69 | 0.74 | 0.66 | 1.00 | 0.58 |
12 | 0.58 | 0.63 | 0.67 | 0.70 | 0.59 | 0.54 | 0.65 | 0.59 | 0.58 | 0.59 | 0.58 | 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