| Project Name | EM100_Lambertson |
| Project Name | EM100_Lambertson |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 113.7 | 102.3 | 86.8 | 77.8 | 67.1 | 65.1 | 64.5 | 52.1 | 47.3 | 40.5 | 33.9 | 32.0 |
| Cluster size | 285 | 260 | 148 | 219 | 195 | 183 | 131 | 162 | 133 | 92 | 110 | 82 |
| Average cluster RMSD | 2.5 | 2.5 | 1.7 | 2.8 | 2.9 | 2.8 | 2.0 | 3.1 | 2.8 | 2.3 | 3.2 | 2.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 10.30 | 11.50 | 7.71 | 10.90 | 6.86 | 11.20 | 14.30 | 6.21 | 5.97 | 9.97 | 7.84 | 12.60 |
| GDT_TS | 0.44 | 0.45 | 0.52 | 0.45 | 0.51 | 0.46 | 0.50 | 0.57 | 0.57 | 0.47 | 0.56 | 0.50 |
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 | 4.28 | 3.37 | 1.95 | 4.81 | 3.03 | 6.07 | 6.57 | 5.03 | 2.11 | 5.72 | 5.24 |
| 2 | 4.28 | 0.00 | 5.22 | 3.89 | 6.43 | 4.11 | 4.41 | 7.91 | 6.87 | 4.27 | 7.51 | 4.58 |
| 3 | 3.37 | 5.22 | 0.00 | 3.95 | 2.73 | 4.58 | 7.90 | 4.37 | 2.48 | 3.06 | 4.46 | 6.40 |
| 4 | 1.95 | 3.89 | 3.95 | 0.00 | 5.56 | 1.59 | 5.09 | 7.03 | 5.78 | 2.93 | 6.27 | 4.31 |
| 5 | 4.81 | 6.43 | 2.73 | 5.56 | 0.00 | 6.08 | 9.47 | 3.03 | 2.67 | 4.53 | 3.26 | 7.27 |
| 6 | 3.03 | 4.11 | 4.58 | 1.59 | 6.08 | 0.00 | 4.72 | 7.25 | 6.34 | 3.87 | 6.51 | 3.66 |
| 7 | 6.07 | 4.41 | 7.90 | 5.09 | 9.47 | 4.72 | 0.00 | 10.80 | 9.59 | 6.46 | 10.00 | 4.61 |
| 8 | 6.57 | 7.91 | 4.37 | 7.03 | 3.03 | 7.25 | 10.80 | 0.00 | 3.82 | 6.53 | 3.47 | 8.38 |
| 9 | 5.03 | 6.87 | 2.48 | 5.78 | 2.67 | 6.34 | 9.59 | 3.82 | 0.00 | 4.70 | 4.81 | 8.05 |
| 10 | 2.11 | 4.27 | 3.06 | 2.93 | 4.53 | 3.87 | 6.46 | 6.53 | 4.70 | 0.00 | 5.97 | 5.89 |
| 11 | 5.72 | 7.51 | 4.46 | 6.27 | 3.26 | 6.51 | 10.00 | 3.47 | 4.81 | 5.97 | 0.00 | 7.17 |
| 12 | 5.24 | 4.58 | 6.40 | 4.31 | 7.27 | 3.66 | 4.61 | 8.38 | 8.05 | 5.89 | 7.17 | 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 | 0.64 | 0.64 | 0.86 | 0.60 | 0.85 | 0.55 | 0.59 | 0.60 | 0.78 | 0.58 | 0.71 |
| 2 | 0.64 | 1.00 | 0.57 | 0.65 | 0.54 | 0.65 | 0.64 | 0.57 | 0.52 | 0.64 | 0.47 | 0.72 |
| 3 | 0.64 | 0.57 | 1.00 | 0.64 | 0.82 | 0.65 | 0.52 | 0.77 | 0.83 | 0.69 | 0.70 | 0.68 |
| 4 | 0.86 | 0.65 | 0.64 | 1.00 | 0.61 | 0.97 | 0.56 | 0.61 | 0.60 | 0.74 | 0.57 | 0.71 |
| 5 | 0.60 | 0.54 | 0.82 | 0.61 | 1.00 | 0.61 | 0.51 | 0.76 | 0.83 | 0.67 | 0.71 | 0.66 |
| 6 | 0.85 | 0.65 | 0.65 | 0.97 | 0.61 | 1.00 | 0.58 | 0.61 | 0.60 | 0.75 | 0.58 | 0.73 |
| 7 | 0.55 | 0.64 | 0.52 | 0.56 | 0.51 | 0.58 | 1.00 | 0.51 | 0.55 | 0.57 | 0.50 | 0.61 |
| 8 | 0.59 | 0.57 | 0.77 | 0.61 | 0.76 | 0.61 | 0.51 | 1.00 | 0.79 | 0.60 | 0.70 | 0.64 |
| 9 | 0.60 | 0.52 | 0.83 | 0.60 | 0.83 | 0.60 | 0.55 | 0.79 | 1.00 | 0.65 | 0.73 | 0.64 |
| 10 | 0.78 | 0.64 | 0.69 | 0.74 | 0.67 | 0.75 | 0.57 | 0.60 | 0.65 | 1.00 | 0.53 | 0.80 |
| 11 | 0.58 | 0.47 | 0.70 | 0.57 | 0.71 | 0.58 | 0.50 | 0.70 | 0.73 | 0.53 | 1.00 | 0.58 |
| 12 | 0.71 | 0.72 | 0.68 | 0.71 | 0.66 | 0.73 | 0.61 | 0.64 | 0.64 | 0.80 | 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