| Project Name | SEQ12 |
| Project Name | SEQ12 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 149.9 | 114.6 | 94.9 | 93.3 | 92.7 | 75.8 | 75.7 | 65.7 | 58.5 | 58.5 | 51.1 | 50.8 |
| Cluster size | 300 | 260 | 189 | 187 | 201 | 137 | 160 | 139 | 112 | 117 | 102 | 96 |
| Average cluster RMSD | 2.0 | 2.3 | 2.0 | 2.0 | 2.2 | 1.8 | 2.1 | 2.1 | 1.9 | 2.0 | 2.0 | 1.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.81 | 3.37 | 5.49 | 4.42 | 3.89 | 5.10 | 4.21 | 4.68 | 6.60 | 4.66 | 4.13 | 6.24 |
| GDT_TS | 0.50 | 0.57 | 0.47 | 0.54 | 0.56 | 0.49 | 0.52 | 0.51 | 0.43 | 0.52 | 0.53 | 0.44 |
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 | 4.26 | 3.81 | 3.12 | 4.57 | 3.20 | 3.84 | 4.52 | 4.54 | 4.96 | 3.48 | 4.12 |
| 2 | 4.26 | 0.00 | 5.38 | 4.28 | 3.90 | 4.80 | 3.40 | 4.86 | 6.29 | 4.91 | 3.70 | 6.01 |
| 3 | 3.81 | 5.38 | 0.00 | 3.62 | 4.86 | 3.58 | 4.71 | 5.14 | 3.68 | 5.90 | 4.46 | 3.53 |
| 4 | 3.12 | 4.28 | 3.62 | 0.00 | 4.48 | 3.14 | 3.96 | 4.37 | 4.90 | 4.99 | 3.44 | 3.98 |
| 5 | 4.57 | 3.90 | 4.86 | 4.48 | 0.00 | 4.30 | 4.33 | 4.81 | 5.70 | 4.16 | 4.83 | 5.30 |
| 6 | 3.20 | 4.80 | 3.58 | 3.14 | 4.30 | 0.00 | 4.26 | 5.24 | 4.27 | 5.40 | 4.38 | 3.73 |
| 7 | 3.84 | 3.40 | 4.71 | 3.96 | 4.33 | 4.26 | 0.00 | 5.04 | 5.59 | 5.54 | 3.98 | 5.37 |
| 8 | 4.52 | 4.86 | 5.14 | 4.37 | 4.81 | 5.24 | 5.04 | 0.00 | 6.29 | 3.74 | 4.28 | 5.45 |
| 9 | 4.54 | 6.29 | 3.68 | 4.90 | 5.70 | 4.27 | 5.59 | 6.29 | 0.00 | 6.53 | 5.99 | 3.43 |
| 10 | 4.96 | 4.91 | 5.90 | 4.99 | 4.16 | 5.40 | 5.54 | 3.74 | 6.53 | 0.00 | 5.04 | 5.76 |
| 11 | 3.48 | 3.70 | 4.46 | 3.44 | 4.83 | 4.38 | 3.98 | 4.28 | 5.99 | 5.04 | 0.00 | 5.40 |
| 12 | 4.12 | 6.01 | 3.53 | 3.98 | 5.30 | 3.73 | 5.37 | 5.45 | 3.43 | 5.76 | 5.40 | 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 | 0.56 | 0.56 | 0.62 | 0.53 | 0.60 | 0.57 | 0.52 | 0.52 | 0.51 | 0.58 | 0.55 |
| 2 | 0.56 | 1.00 | 0.52 | 0.57 | 0.57 | 0.54 | 0.59 | 0.50 | 0.48 | 0.51 | 0.59 | 0.49 |
| 3 | 0.56 | 0.52 | 1.00 | 0.58 | 0.51 | 0.56 | 0.51 | 0.51 | 0.56 | 0.47 | 0.52 | 0.58 |
| 4 | 0.62 | 0.57 | 0.58 | 1.00 | 0.52 | 0.61 | 0.56 | 0.53 | 0.52 | 0.50 | 0.58 | 0.56 |
| 5 | 0.53 | 0.57 | 0.51 | 0.52 | 1.00 | 0.53 | 0.55 | 0.53 | 0.47 | 0.54 | 0.50 | 0.49 |
| 6 | 0.60 | 0.54 | 0.56 | 0.61 | 0.53 | 1.00 | 0.54 | 0.49 | 0.54 | 0.48 | 0.52 | 0.56 |
| 7 | 0.57 | 0.59 | 0.51 | 0.56 | 0.55 | 0.54 | 1.00 | 0.50 | 0.51 | 0.47 | 0.54 | 0.52 |
| 8 | 0.52 | 0.50 | 0.51 | 0.53 | 0.53 | 0.49 | 0.50 | 1.00 | 0.45 | 0.59 | 0.54 | 0.50 |
| 9 | 0.52 | 0.48 | 0.56 | 0.52 | 0.47 | 0.54 | 0.51 | 0.45 | 1.00 | 0.44 | 0.48 | 0.60 |
| 10 | 0.51 | 0.51 | 0.47 | 0.50 | 0.54 | 0.48 | 0.47 | 0.59 | 0.44 | 1.00 | 0.50 | 0.47 |
| 11 | 0.58 | 0.59 | 0.52 | 0.58 | 0.50 | 0.52 | 0.54 | 0.54 | 0.48 | 0.50 | 1.00 | 0.48 |
| 12 | 0.55 | 0.49 | 0.58 | 0.56 | 0.49 | 0.56 | 0.52 | 0.50 | 0.60 | 0.47 | 0.48 | 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