| Project Name | E135Fs |
| Project Name | E135Fs |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 170.3 | 120.6 | 114.1 | 108.1 | 95.3 | 93.3 | 91.7 | 82.3 | 69.3 | 68.0 | 50.7 | 44.6 |
| Cluster size | 308 | 205 | 221 | 209 | 174 | 176 | 151 | 135 | 133 | 117 | 102 | 69 |
| Average cluster RMSD | 1.8 | 1.7 | 1.9 | 1.9 | 1.8 | 1.9 | 1.6 | 1.6 | 1.9 | 1.7 | 2.0 | 1.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 12.90 | 12.10 | 11.20 | 10.40 | 13.00 | 10.30 | 12.20 | 8.27 | 6.25 | 7.82 | 6.87 | 6.41 |
| GDT_TS | 0.27 | 0.26 | 0.27 | 0.30 | 0.27 | 0.30 | 0.27 | 0.35 | 0.38 | 0.37 | 0.37 | 0.39 |
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 | 3.02 | 3.73 | 6.63 | 4.70 | 8.10 | 4.02 | 9.21 | 11.80 | 9.95 | 11.10 | 11.60 |
| 2 | 3.02 | 0.00 | 2.82 | 5.43 | 5.71 | 6.95 | 4.91 | 8.41 | 11.30 | 9.11 | 10.40 | 10.90 |
| 3 | 3.73 | 2.82 | 0.00 | 4.45 | 6.12 | 6.43 | 5.04 | 7.57 | 10.40 | 8.34 | 9.63 | 10.20 |
| 4 | 6.63 | 5.43 | 4.45 | 0.00 | 8.24 | 3.98 | 6.49 | 5.34 | 9.07 | 6.80 | 8.27 | 9.26 |
| 5 | 4.70 | 5.71 | 6.12 | 8.24 | 0.00 | 9.48 | 4.11 | 10.10 | 12.10 | 10.80 | 11.50 | 11.80 |
| 6 | 8.10 | 6.95 | 6.43 | 3.98 | 9.48 | 0.00 | 8.07 | 4.03 | 8.63 | 5.83 | 7.75 | 9.09 |
| 7 | 4.02 | 4.91 | 5.04 | 6.49 | 4.11 | 8.07 | 0.00 | 8.43 | 10.90 | 9.39 | 10.40 | 10.80 |
| 8 | 9.21 | 8.41 | 7.57 | 5.34 | 10.10 | 4.03 | 8.43 | 0.00 | 5.92 | 3.49 | 5.32 | 6.56 |
| 9 | 11.80 | 11.30 | 10.40 | 9.07 | 12.10 | 8.63 | 10.90 | 5.92 | 0.00 | 5.39 | 2.61 | 3.59 |
| 10 | 9.95 | 9.11 | 8.34 | 6.80 | 10.80 | 5.83 | 9.39 | 3.49 | 5.39 | 0.00 | 4.52 | 5.32 |
| 11 | 11.10 | 10.40 | 9.63 | 8.27 | 11.50 | 7.75 | 10.40 | 5.32 | 2.61 | 4.52 | 0.00 | 4.03 |
| 12 | 11.60 | 10.90 | 10.20 | 9.26 | 11.80 | 9.09 | 10.80 | 6.56 | 3.59 | 5.32 | 4.03 | 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 | 0.61 | 0.55 | 0.42 | 0.48 | 0.38 | 0.58 | 0.32 | 0.28 | 0.30 | 0.29 | 0.27 |
| 2 | 0.61 | 1.00 | 0.70 | 0.45 | 0.44 | 0.42 | 0.52 | 0.33 | 0.28 | 0.30 | 0.28 | 0.27 |
| 3 | 0.55 | 0.70 | 1.00 | 0.53 | 0.46 | 0.48 | 0.55 | 0.38 | 0.32 | 0.37 | 0.35 | 0.28 |
| 4 | 0.42 | 0.45 | 0.53 | 1.00 | 0.41 | 0.61 | 0.40 | 0.51 | 0.37 | 0.46 | 0.40 | 0.33 |
| 5 | 0.48 | 0.44 | 0.46 | 0.41 | 1.00 | 0.39 | 0.59 | 0.39 | 0.34 | 0.36 | 0.36 | 0.29 |
| 6 | 0.38 | 0.42 | 0.48 | 0.61 | 0.39 | 1.00 | 0.40 | 0.58 | 0.41 | 0.44 | 0.40 | 0.34 |
| 7 | 0.58 | 0.52 | 0.55 | 0.40 | 0.59 | 0.40 | 1.00 | 0.39 | 0.38 | 0.41 | 0.38 | 0.31 |
| 8 | 0.32 | 0.33 | 0.38 | 0.51 | 0.39 | 0.58 | 0.39 | 1.00 | 0.53 | 0.61 | 0.53 | 0.43 |
| 9 | 0.28 | 0.28 | 0.32 | 0.37 | 0.34 | 0.41 | 0.38 | 0.53 | 1.00 | 0.49 | 0.68 | 0.59 |
| 10 | 0.30 | 0.30 | 0.37 | 0.46 | 0.36 | 0.44 | 0.41 | 0.61 | 0.49 | 1.00 | 0.56 | 0.49 |
| 11 | 0.29 | 0.28 | 0.35 | 0.40 | 0.36 | 0.40 | 0.38 | 0.53 | 0.68 | 0.56 | 1.00 | 0.53 |
| 12 | 0.27 | 0.27 | 0.28 | 0.33 | 0.29 | 0.34 | 0.31 | 0.43 | 0.59 | 0.49 | 0.53 | 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