| 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 | 12.80 | 12.20 | 11.20 | 10.30 | 13.10 | 10.40 | 12.30 | 8.12 | 6.20 | 7.83 | 6.83 | 6.45 |
| GDT_TS | 0.26 | 0.26 | 0.27 | 0.30 | 0.27 | 0.30 | 0.27 | 0.35 | 0.37 | 0.37 | 0.37 | 0.38 |
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 | 3.06 | 3.70 | 6.62 | 4.75 | 8.05 | 4.01 | 9.19 | 11.70 | 9.91 | 11.10 | 11.60 |
| 2 | 3.06 | 0.00 | 2.90 | 5.47 | 5.67 | 6.95 | 4.77 | 8.47 | 11.30 | 9.13 | 10.50 | 10.90 |
| 3 | 3.70 | 2.90 | 0.00 | 4.44 | 6.12 | 6.39 | 5.05 | 7.59 | 10.30 | 8.32 | 9.64 | 10.20 |
| 4 | 6.62 | 5.47 | 4.44 | 0.00 | 8.23 | 3.86 | 6.64 | 5.34 | 8.92 | 6.74 | 8.19 | 9.20 |
| 5 | 4.75 | 5.67 | 6.12 | 8.23 | 0.00 | 9.43 | 4.01 | 10.10 | 12.10 | 10.80 | 11.60 | 11.80 |
| 6 | 8.05 | 6.95 | 6.39 | 3.86 | 9.43 | 0.00 | 8.25 | 4.21 | 8.65 | 5.84 | 7.76 | 9.14 |
| 7 | 4.01 | 4.77 | 5.05 | 6.64 | 4.01 | 8.25 | 0.00 | 8.64 | 11.00 | 9.56 | 10.50 | 10.90 |
| 8 | 9.19 | 8.47 | 7.59 | 5.34 | 10.10 | 4.21 | 8.64 | 0.00 | 5.81 | 3.51 | 5.21 | 6.47 |
| 9 | 11.70 | 11.30 | 10.30 | 8.92 | 12.10 | 8.65 | 11.00 | 5.81 | 0.00 | 5.35 | 2.51 | 3.59 |
| 10 | 9.91 | 9.13 | 8.32 | 6.74 | 10.80 | 5.84 | 9.56 | 3.51 | 5.35 | 0.00 | 4.45 | 5.32 |
| 11 | 11.10 | 10.50 | 9.64 | 8.19 | 11.60 | 7.76 | 10.50 | 5.21 | 2.51 | 4.45 | 0.00 | 4.03 |
| 12 | 11.60 | 10.90 | 10.20 | 9.20 | 11.80 | 9.14 | 10.90 | 6.47 | 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 | 0.62 | 0.54 | 0.42 | 0.50 | 0.37 | 0.57 | 0.33 | 0.29 | 0.30 | 0.30 | 0.26 |
| 2 | 0.62 | 1.00 | 0.69 | 0.44 | 0.44 | 0.42 | 0.55 | 0.33 | 0.28 | 0.30 | 0.29 | 0.26 |
| 3 | 0.54 | 0.69 | 1.00 | 0.54 | 0.47 | 0.49 | 0.56 | 0.39 | 0.33 | 0.38 | 0.35 | 0.28 |
| 4 | 0.42 | 0.44 | 0.54 | 1.00 | 0.41 | 0.62 | 0.38 | 0.52 | 0.38 | 0.46 | 0.41 | 0.33 |
| 5 | 0.50 | 0.44 | 0.47 | 0.41 | 1.00 | 0.38 | 0.60 | 0.39 | 0.34 | 0.35 | 0.36 | 0.29 |
| 6 | 0.37 | 0.42 | 0.49 | 0.62 | 0.38 | 1.00 | 0.38 | 0.56 | 0.40 | 0.44 | 0.42 | 0.33 |
| 7 | 0.57 | 0.55 | 0.56 | 0.38 | 0.60 | 0.38 | 1.00 | 0.38 | 0.36 | 0.39 | 0.36 | 0.30 |
| 8 | 0.33 | 0.33 | 0.39 | 0.52 | 0.39 | 0.56 | 0.38 | 1.00 | 0.54 | 0.62 | 0.54 | 0.43 |
| 9 | 0.29 | 0.28 | 0.33 | 0.38 | 0.34 | 0.40 | 0.36 | 0.54 | 1.00 | 0.50 | 0.71 | 0.58 |
| 10 | 0.30 | 0.30 | 0.38 | 0.46 | 0.35 | 0.44 | 0.39 | 0.62 | 0.50 | 1.00 | 0.57 | 0.49 |
| 11 | 0.30 | 0.29 | 0.35 | 0.41 | 0.36 | 0.42 | 0.36 | 0.54 | 0.71 | 0.57 | 1.00 | 0.53 |
| 12 | 0.26 | 0.26 | 0.28 | 0.33 | 0.29 | 0.33 | 0.30 | 0.43 | 0.58 | 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