| Project Name | ABLkinase |
| Project Name | ABLkinase |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 214.8 | 164.5 | 158.7 | 129.5 | 122.0 | 87.8 | 84.3 | 82.3 | 80.1 | 66.1 | 56.9 | 50.5 |
| Cluster size | 342 | 262 | 255 | 195 | 192 | 136 | 136 | 108 | 121 | 95 | 83 | 75 |
| Average cluster RMSD | 1.6 | 1.6 | 1.6 | 1.5 | 1.6 | 1.5 | 1.6 | 1.3 | 1.5 | 1.4 | 1.5 | 1.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.69 | 2.83 | 2.90 | 3.09 | 3.21 | 3.37 | 2.88 | 3.24 | 3.18 | 2.90 | 2.97 | 3.45 |
| GDT_TS | 0.67 | 0.64 | 0.65 | 0.63 | 0.63 | 0.61 | 0.66 | 0.63 | 0.61 | 0.69 | 0.65 | 0.60 |
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 | 2.40 | 2.41 | 2.84 | 2.91 | 3.19 | 2.76 | 2.88 | 2.84 | 2.57 | 2.98 | 3.37 |
| 2 | 2.40 | 0.00 | 2.58 | 2.96 | 2.69 | 3.07 | 2.56 | 2.93 | 2.62 | 2.76 | 3.10 | 3.61 |
| 3 | 2.41 | 2.58 | 0.00 | 2.86 | 2.43 | 3.60 | 2.73 | 2.92 | 2.69 | 2.66 | 3.03 | 3.48 |
| 4 | 2.84 | 2.96 | 2.86 | 0.00 | 3.03 | 3.81 | 2.07 | 2.43 | 2.14 | 3.02 | 2.21 | 2.97 |
| 5 | 2.91 | 2.69 | 2.43 | 3.03 | 0.00 | 3.52 | 2.54 | 2.60 | 2.53 | 2.91 | 3.04 | 3.55 |
| 6 | 3.19 | 3.07 | 3.60 | 3.81 | 3.52 | 0.00 | 3.42 | 3.29 | 3.56 | 2.61 | 3.90 | 4.34 |
| 7 | 2.76 | 2.56 | 2.73 | 2.07 | 2.54 | 3.42 | 0.00 | 2.23 | 2.10 | 2.80 | 2.51 | 3.19 |
| 8 | 2.88 | 2.93 | 2.92 | 2.43 | 2.60 | 3.29 | 2.23 | 0.00 | 2.53 | 2.76 | 2.80 | 3.35 |
| 9 | 2.84 | 2.62 | 2.69 | 2.14 | 2.53 | 3.56 | 2.10 | 2.53 | 0.00 | 3.00 | 2.47 | 2.79 |
| 10 | 2.57 | 2.76 | 2.66 | 3.02 | 2.91 | 2.61 | 2.80 | 2.76 | 3.00 | 0.00 | 3.39 | 4.07 |
| 11 | 2.98 | 3.10 | 3.03 | 2.21 | 3.04 | 3.90 | 2.51 | 2.80 | 2.47 | 3.39 | 0.00 | 2.39 |
| 12 | 3.37 | 3.61 | 3.48 | 2.97 | 3.55 | 4.34 | 3.19 | 3.35 | 2.79 | 4.07 | 2.39 | 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 | 0.72 | 0.71 | 0.67 | 0.63 | 0.64 | 0.70 | 0.68 | 0.64 | 0.72 | 0.67 | 0.65 |
| 2 | 0.72 | 1.00 | 0.69 | 0.67 | 0.68 | 0.66 | 0.69 | 0.66 | 0.68 | 0.69 | 0.66 | 0.63 |
| 3 | 0.71 | 0.69 | 1.00 | 0.64 | 0.69 | 0.61 | 0.66 | 0.64 | 0.67 | 0.69 | 0.65 | 0.68 |
| 4 | 0.67 | 0.67 | 0.64 | 1.00 | 0.64 | 0.59 | 0.78 | 0.72 | 0.75 | 0.64 | 0.75 | 0.72 |
| 5 | 0.63 | 0.68 | 0.69 | 0.64 | 1.00 | 0.56 | 0.69 | 0.68 | 0.71 | 0.63 | 0.67 | 0.66 |
| 6 | 0.64 | 0.66 | 0.61 | 0.59 | 0.56 | 1.00 | 0.61 | 0.60 | 0.61 | 0.71 | 0.57 | 0.56 |
| 7 | 0.70 | 0.69 | 0.66 | 0.78 | 0.69 | 0.61 | 1.00 | 0.73 | 0.76 | 0.69 | 0.75 | 0.71 |
| 8 | 0.68 | 0.66 | 0.64 | 0.72 | 0.68 | 0.60 | 0.73 | 1.00 | 0.72 | 0.65 | 0.70 | 0.70 |
| 9 | 0.64 | 0.68 | 0.67 | 0.75 | 0.71 | 0.61 | 0.76 | 0.72 | 1.00 | 0.65 | 0.73 | 0.73 |
| 10 | 0.72 | 0.69 | 0.69 | 0.64 | 0.63 | 0.71 | 0.69 | 0.65 | 0.65 | 1.00 | 0.64 | 0.63 |
| 11 | 0.67 | 0.66 | 0.65 | 0.75 | 0.67 | 0.57 | 0.75 | 0.70 | 0.73 | 0.64 | 1.00 | 0.76 |
| 12 | 0.65 | 0.63 | 0.68 | 0.72 | 0.66 | 0.56 | 0.71 | 0.70 | 0.73 | 0.63 | 0.76 | 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