Project Name | smitainfo |
Project Name | smitainfo |
Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Cluster density | 142.1 | 128.2 | 124.1 | 112.7 | 100.6 | 98.3 | 77.8 | 77.6 | 69.0 | 66.4 | 65.1 | 42.4 |
Cluster size | 251 | 268 | 255 | 201 | 179 | 179 | 132 | 137 | 114 | 110 | 105 | 69 |
Average cluster RMSD | 1.8 | 2.1 | 2.1 | 1.8 | 1.8 | 1.8 | 1.7 | 1.8 | 1.7 | 1.7 | 1.6 | 1.6 |
# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
RMSD | 7.02 | 6.62 | 5.77 | 7.30 | 6.32 | 6.61 | 6.85 | 7.34 | 6.89 | 6.95 | 7.20 | 6.65 |
GDT_TS | 0.36 | 0.40 | 0.41 | 0.36 | 0.41 | 0.38 | 0.37 | 0.35 | 0.38 | 0.35 | 0.37 | 0.34 |
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 | 4.27 | 4.52 | 3.25 | 3.73 | 3.70 | 4.31 | 4.93 | 3.74 | 4.75 | 3.82 | 5.24 |
2 | 4.27 | 0.00 | 3.75 | 4.14 | 3.46 | 3.83 | 3.82 | 4.29 | 3.76 | 4.20 | 3.60 | 4.20 |
3 | 4.52 | 3.75 | 0.00 | 4.69 | 3.77 | 3.92 | 4.02 | 4.38 | 4.52 | 4.34 | 3.97 | 4.27 |
4 | 3.25 | 4.14 | 4.69 | 0.00 | 3.75 | 3.50 | 4.43 | 4.85 | 3.44 | 4.78 | 3.76 | 5.47 |
5 | 3.73 | 3.46 | 3.77 | 3.75 | 0.00 | 3.57 | 4.16 | 4.58 | 3.24 | 4.33 | 3.58 | 4.67 |
6 | 3.70 | 3.83 | 3.92 | 3.50 | 3.57 | 0.00 | 3.72 | 3.76 | 3.50 | 3.74 | 3.46 | 4.66 |
7 | 4.31 | 3.82 | 4.02 | 4.43 | 4.16 | 3.72 | 0.00 | 3.35 | 4.27 | 3.25 | 4.03 | 3.73 |
8 | 4.93 | 4.29 | 4.38 | 4.85 | 4.58 | 3.76 | 3.35 | 0.00 | 4.77 | 3.21 | 4.18 | 4.39 |
9 | 3.74 | 3.76 | 4.52 | 3.44 | 3.24 | 3.50 | 4.27 | 4.77 | 0.00 | 4.33 | 3.55 | 5.13 |
10 | 4.75 | 4.20 | 4.34 | 4.78 | 4.33 | 3.74 | 3.25 | 3.21 | 4.33 | 0.00 | 3.93 | 4.05 |
11 | 3.82 | 3.60 | 3.97 | 3.76 | 3.58 | 3.46 | 4.03 | 4.18 | 3.55 | 3.93 | 0.00 | 4.67 |
12 | 5.24 | 4.20 | 4.27 | 5.47 | 4.67 | 4.66 | 3.73 | 4.39 | 5.13 | 4.05 | 4.67 | 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 | 0.50 | 0.49 | 0.57 | 0.53 | 0.53 | 0.47 | 0.44 | 0.54 | 0.45 | 0.54 | 0.42 |
2 | 0.50 | 1.00 | 0.56 | 0.52 | 0.57 | 0.55 | 0.52 | 0.50 | 0.54 | 0.48 | 0.57 | 0.48 |
3 | 0.49 | 0.56 | 1.00 | 0.46 | 0.54 | 0.52 | 0.48 | 0.47 | 0.50 | 0.46 | 0.54 | 0.48 |
4 | 0.57 | 0.52 | 0.46 | 1.00 | 0.53 | 0.55 | 0.47 | 0.46 | 0.58 | 0.45 | 0.54 | 0.38 |
5 | 0.53 | 0.57 | 0.54 | 0.53 | 1.00 | 0.56 | 0.49 | 0.48 | 0.59 | 0.47 | 0.58 | 0.44 |
6 | 0.53 | 0.55 | 0.52 | 0.55 | 0.56 | 1.00 | 0.55 | 0.55 | 0.56 | 0.53 | 0.56 | 0.46 |
7 | 0.47 | 0.52 | 0.48 | 0.47 | 0.49 | 0.55 | 1.00 | 0.56 | 0.52 | 0.56 | 0.49 | 0.52 |
8 | 0.44 | 0.50 | 0.47 | 0.46 | 0.48 | 0.55 | 0.56 | 1.00 | 0.48 | 0.58 | 0.51 | 0.48 |
9 | 0.54 | 0.54 | 0.50 | 0.58 | 0.59 | 0.56 | 0.52 | 0.48 | 1.00 | 0.49 | 0.56 | 0.41 |
10 | 0.45 | 0.48 | 0.46 | 0.45 | 0.47 | 0.53 | 0.56 | 0.58 | 0.49 | 1.00 | 0.49 | 0.51 |
11 | 0.54 | 0.57 | 0.54 | 0.54 | 0.58 | 0.56 | 0.49 | 0.51 | 0.56 | 0.49 | 1.00 | 0.45 |
12 | 0.42 | 0.48 | 0.48 | 0.38 | 0.44 | 0.46 | 0.52 | 0.48 | 0.41 | 0.51 | 0.45 | 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