Project Name | madhan |
Project Name | madhan |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 193.4 | 163.9 | 127.0 | 126.9 | 104.7 | 98.7 | 83.8 | 39.3 | 37.6 | 24.6 | 21.9 | 16.0 |
Cluster size | 338 | 334 | 293 | 211 | 186 | 171 | 142 | 90 | 90 | 61 | 40 | 44 |
Average cluster RMSD | 1.7 | 2.0 | 2.3 | 1.7 | 1.8 | 1.7 | 1.7 | 2.3 | 2.4 | 2.5 | 1.8 | 2.8 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 30.70 | 21.10 | 22.40 | 20.90 | 22.80 | 19.90 | 21.90 | 19.50 | 21.00 | 19.70 | 20.60 | 24.40 |
GDT_TS | 0.48 | 0.51 | 0.37 | 0.52 | 0.48 | 0.55 | 0.50 | 0.53 | 0.47 | 0.49 | 0.49 | 0.53 |
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 | 18.00 | 19.40 | 18.30 | 21.60 | 20.90 | 19.20 | 22.70 | 18.00 | 20.20 | 22.40 | 13.70 |
2 | 18.00 | 0.00 | 8.42 | 3.91 | 10.70 | 7.49 | 8.07 | 9.19 | 5.85 | 6.80 | 11.90 | 13.80 |
3 | 19.40 | 8.42 | 0.00 | 7.82 | 11.10 | 7.91 | 8.27 | 10.90 | 8.75 | 8.83 | 13.90 | 16.00 |
4 | 18.30 | 3.91 | 7.82 | 0.00 | 10.10 | 6.12 | 7.42 | 7.86 | 6.23 | 6.74 | 10.90 | 13.50 |
5 | 21.60 | 10.70 | 11.10 | 10.10 | 0.00 | 8.46 | 9.18 | 9.59 | 10.90 | 10.10 | 10.10 | 18.40 |
6 | 20.90 | 7.49 | 7.91 | 6.12 | 8.46 | 0.00 | 5.17 | 5.77 | 8.11 | 6.51 | 11.00 | 15.90 |
7 | 19.20 | 8.07 | 8.27 | 7.42 | 9.18 | 5.17 | 0.00 | 8.89 | 8.86 | 8.46 | 12.40 | 15.90 |
8 | 22.70 | 9.19 | 10.90 | 7.86 | 9.59 | 5.77 | 8.89 | 0.00 | 9.55 | 7.01 | 10.40 | 16.20 |
9 | 18.00 | 5.85 | 8.75 | 6.23 | 10.90 | 8.11 | 8.86 | 9.55 | 0.00 | 4.91 | 14.10 | 14.40 |
10 | 20.20 | 6.80 | 8.83 | 6.74 | 10.10 | 6.51 | 8.46 | 7.01 | 4.91 | 0.00 | 13.00 | 15.00 |
11 | 22.40 | 11.90 | 13.90 | 10.90 | 10.10 | 11.00 | 12.40 | 10.40 | 14.10 | 13.00 | 0.00 | 16.80 |
12 | 13.70 | 13.80 | 16.00 | 13.50 | 18.40 | 15.90 | 15.90 | 16.20 | 14.40 | 15.00 | 16.80 | 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 | 0.55 | 0.37 | 0.56 | 0.54 | 0.54 | 0.58 | 0.54 | 0.49 | 0.51 | 0.48 | 0.54 |
2 | 0.55 | 1.00 | 0.43 | 0.68 | 0.58 | 0.60 | 0.67 | 0.61 | 0.61 | 0.62 | 0.49 | 0.55 |
3 | 0.37 | 0.43 | 1.00 | 0.44 | 0.40 | 0.41 | 0.42 | 0.42 | 0.41 | 0.43 | 0.41 | 0.37 |
4 | 0.56 | 0.68 | 0.44 | 1.00 | 0.64 | 0.69 | 0.69 | 0.61 | 0.56 | 0.59 | 0.51 | 0.55 |
5 | 0.54 | 0.58 | 0.40 | 0.64 | 1.00 | 0.59 | 0.59 | 0.55 | 0.50 | 0.51 | 0.53 | 0.54 |
6 | 0.54 | 0.60 | 0.41 | 0.69 | 0.59 | 1.00 | 0.66 | 0.62 | 0.56 | 0.55 | 0.53 | 0.56 |
7 | 0.58 | 0.67 | 0.42 | 0.69 | 0.59 | 0.66 | 1.00 | 0.61 | 0.57 | 0.60 | 0.49 | 0.54 |
8 | 0.54 | 0.61 | 0.42 | 0.61 | 0.55 | 0.62 | 0.61 | 1.00 | 0.59 | 0.63 | 0.55 | 0.56 |
9 | 0.49 | 0.61 | 0.41 | 0.56 | 0.50 | 0.56 | 0.57 | 0.59 | 1.00 | 0.60 | 0.47 | 0.49 |
10 | 0.51 | 0.62 | 0.43 | 0.59 | 0.51 | 0.55 | 0.60 | 0.63 | 0.60 | 1.00 | 0.51 | 0.51 |
11 | 0.48 | 0.49 | 0.41 | 0.51 | 0.53 | 0.53 | 0.49 | 0.55 | 0.47 | 0.51 | 1.00 | 0.54 |
12 | 0.54 | 0.55 | 0.37 | 0.55 | 0.54 | 0.56 | 0.54 | 0.56 | 0.49 | 0.51 | 0.54 | 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