Project Name |
Project Name |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 98.9 | 91.2 | 80.8 | 79.3 | 59.2 | 58.8 | 58.2 | 57.4 | 39.7 | 32.1 | 17.7 | 14.4 |
Cluster size | 224 | 302 | 197 | 308 | 194 | 133 | 144 | 148 | 116 | 116 | 60 | 58 |
Average cluster RMSD | 2.3 | 3.3 | 2.4 | 3.9 | 3.3 | 2.3 | 2.5 | 2.6 | 2.9 | 3.6 | 3.4 | 4.0 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 7.74 | 8.40 | 8.79 | 6.07 | 9.18 | 9.23 | 5.33 | 7.63 | 5.69 | 10.00 | 7.38 | 8.85 |
GDT_TS | 0.42 | 0.45 | 0.42 | 0.50 | 0.42 | 0.44 | 0.52 | 0.46 | 0.49 | 0.42 | 0.51 | 0.44 |
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 | 3.03 | 2.59 | 7.63 | 3.63 | 2.78 | 5.66 | 2.89 | 7.92 | 5.46 | 7.99 | 3.13 |
2 | 3.03 | 0.00 | 3.24 | 7.42 | 4.01 | 3.45 | 5.64 | 4.06 | 8.02 | 4.85 | 7.84 | 3.97 |
3 | 2.59 | 3.24 | 0.00 | 7.90 | 3.03 | 2.08 | 6.17 | 3.10 | 8.15 | 4.50 | 7.67 | 3.08 |
4 | 7.63 | 7.42 | 7.90 | 0.00 | 7.44 | 8.18 | 5.11 | 7.29 | 4.12 | 7.71 | 3.76 | 7.91 |
5 | 3.63 | 4.01 | 3.03 | 7.44 | 0.00 | 2.97 | 6.33 | 3.67 | 7.82 | 3.20 | 6.70 | 3.11 |
6 | 2.78 | 3.45 | 2.08 | 8.18 | 2.97 | 0.00 | 6.52 | 3.47 | 8.42 | 4.34 | 8.02 | 2.67 |
7 | 5.66 | 5.64 | 6.17 | 5.11 | 6.33 | 6.52 | 0.00 | 4.62 | 6.26 | 7.05 | 6.31 | 6.41 |
8 | 2.89 | 4.06 | 3.10 | 7.29 | 3.67 | 3.47 | 4.62 | 0.00 | 7.53 | 4.92 | 7.23 | 3.60 |
9 | 7.92 | 8.02 | 8.15 | 4.12 | 7.82 | 8.42 | 6.26 | 7.53 | 0.00 | 7.60 | 4.77 | 8.03 |
10 | 5.46 | 4.85 | 4.50 | 7.71 | 3.20 | 4.34 | 7.05 | 4.92 | 7.60 | 0.00 | 6.17 | 4.99 |
11 | 7.99 | 7.84 | 7.67 | 3.76 | 6.70 | 8.02 | 6.31 | 7.23 | 4.77 | 6.17 | 0.00 | 7.88 |
12 | 3.13 | 3.97 | 3.08 | 7.91 | 3.11 | 2.67 | 6.41 | 3.60 | 8.03 | 4.99 | 7.88 | 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 | 0.69 | 0.47 | 0.63 | 0.71 | 0.57 | 0.70 | 0.55 | 0.60 | 0.42 | 0.65 |
2 | 0.69 | 1.00 | 0.67 | 0.50 | 0.62 | 0.65 | 0.55 | 0.67 | 0.56 | 0.65 | 0.44 | 0.65 |
3 | 0.69 | 0.67 | 1.00 | 0.45 | 0.65 | 0.77 | 0.53 | 0.70 | 0.51 | 0.66 | 0.45 | 0.67 |
4 | 0.47 | 0.50 | 0.45 | 1.00 | 0.42 | 0.43 | 0.61 | 0.45 | 0.55 | 0.42 | 0.64 | 0.42 |
5 | 0.63 | 0.62 | 0.65 | 0.42 | 1.00 | 0.70 | 0.52 | 0.67 | 0.55 | 0.67 | 0.50 | 0.67 |
6 | 0.71 | 0.65 | 0.77 | 0.43 | 0.70 | 1.00 | 0.55 | 0.66 | 0.52 | 0.61 | 0.43 | 0.69 |
7 | 0.57 | 0.55 | 0.53 | 0.61 | 0.52 | 0.55 | 1.00 | 0.61 | 0.52 | 0.54 | 0.49 | 0.50 |
8 | 0.70 | 0.67 | 0.70 | 0.45 | 0.67 | 0.66 | 0.61 | 1.00 | 0.54 | 0.64 | 0.42 | 0.66 |
9 | 0.55 | 0.56 | 0.51 | 0.55 | 0.55 | 0.52 | 0.52 | 0.54 | 1.00 | 0.55 | 0.52 | 0.55 |
10 | 0.60 | 0.65 | 0.66 | 0.42 | 0.67 | 0.61 | 0.54 | 0.64 | 0.55 | 1.00 | 0.51 | 0.62 |
11 | 0.42 | 0.44 | 0.45 | 0.64 | 0.50 | 0.43 | 0.49 | 0.42 | 0.52 | 0.51 | 1.00 | 0.44 |
12 | 0.65 | 0.65 | 0.67 | 0.42 | 0.67 | 0.69 | 0.50 | 0.66 | 0.55 | 0.62 | 0.44 | 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