| Project Name | SEQ13 |
| Project Name | SEQ13 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 155.8 | 136.5 | 111.5 | 105.6 | 103.5 | 81.4 | 78.0 | 77.6 | 77.0 | 72.3 | 55.5 | 53.7 |
| Cluster size | 285 | 243 | 212 | 197 | 182 | 134 | 134 | 145 | 140 | 133 | 91 | 104 |
| Average cluster RMSD | 1.8 | 1.8 | 1.9 | 1.9 | 1.8 | 1.6 | 1.7 | 1.9 | 1.8 | 1.8 | 1.6 | 1.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.76 | 4.34 | 4.17 | 4.47 | 4.82 | 5.03 | 4.00 | 4.31 | 4.81 | 3.98 | 4.32 | 4.31 |
| GDT_TS | 0.56 | 0.54 | 0.56 | 0.55 | 0.51 | 0.50 | 0.55 | 0.54 | 0.52 | 0.54 | 0.53 | 0.54 |
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 | 4.16 | 3.58 | 4.00 | 4.45 | 4.95 | 3.69 | 4.49 | 4.39 | 3.52 | 3.93 | 3.94 |
| 2 | 4.16 | 0.00 | 3.78 | 3.90 | 3.08 | 3.34 | 2.88 | 2.48 | 3.97 | 4.45 | 3.55 | 5.00 |
| 3 | 3.58 | 3.78 | 0.00 | 3.93 | 3.69 | 4.00 | 3.64 | 3.83 | 3.73 | 4.01 | 3.02 | 4.37 |
| 4 | 4.00 | 3.90 | 3.93 | 0.00 | 4.15 | 4.35 | 3.55 | 4.34 | 3.06 | 3.79 | 3.62 | 4.03 |
| 5 | 4.45 | 3.08 | 3.69 | 4.15 | 0.00 | 2.66 | 3.11 | 3.07 | 3.99 | 4.90 | 3.15 | 5.48 |
| 6 | 4.95 | 3.34 | 4.00 | 4.35 | 2.66 | 0.00 | 3.25 | 3.12 | 4.04 | 5.08 | 3.38 | 5.70 |
| 7 | 3.69 | 2.88 | 3.64 | 3.55 | 3.11 | 3.25 | 0.00 | 3.12 | 3.55 | 4.22 | 3.18 | 4.58 |
| 8 | 4.49 | 2.48 | 3.83 | 4.34 | 3.07 | 3.12 | 3.12 | 0.00 | 4.12 | 4.61 | 3.47 | 5.29 |
| 9 | 4.39 | 3.97 | 3.73 | 3.06 | 3.99 | 4.04 | 3.55 | 4.12 | 0.00 | 4.35 | 3.20 | 4.30 |
| 10 | 3.52 | 4.45 | 4.01 | 3.79 | 4.90 | 5.08 | 4.22 | 4.61 | 4.35 | 0.00 | 4.20 | 3.32 |
| 11 | 3.93 | 3.55 | 3.02 | 3.62 | 3.15 | 3.38 | 3.18 | 3.47 | 3.20 | 4.20 | 0.00 | 4.56 |
| 12 | 3.94 | 5.00 | 4.37 | 4.03 | 5.48 | 5.70 | 4.58 | 5.29 | 4.30 | 3.32 | 4.56 | 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 | 0.54 | 0.59 | 0.57 | 0.50 | 0.50 | 0.58 | 0.52 | 0.53 | 0.60 | 0.56 | 0.56 |
| 2 | 0.54 | 1.00 | 0.57 | 0.59 | 0.60 | 0.64 | 0.66 | 0.69 | 0.56 | 0.53 | 0.59 | 0.51 |
| 3 | 0.59 | 0.57 | 1.00 | 0.60 | 0.56 | 0.55 | 0.57 | 0.56 | 0.59 | 0.57 | 0.63 | 0.56 |
| 4 | 0.57 | 0.59 | 0.60 | 1.00 | 0.57 | 0.60 | 0.63 | 0.58 | 0.65 | 0.56 | 0.59 | 0.57 |
| 5 | 0.50 | 0.60 | 0.56 | 0.57 | 1.00 | 0.66 | 0.62 | 0.63 | 0.58 | 0.54 | 0.63 | 0.50 |
| 6 | 0.50 | 0.64 | 0.55 | 0.60 | 0.66 | 1.00 | 0.62 | 0.67 | 0.57 | 0.52 | 0.60 | 0.48 |
| 7 | 0.58 | 0.66 | 0.57 | 0.63 | 0.62 | 0.62 | 1.00 | 0.62 | 0.59 | 0.54 | 0.63 | 0.52 |
| 8 | 0.52 | 0.69 | 0.56 | 0.58 | 0.63 | 0.67 | 0.62 | 1.00 | 0.59 | 0.54 | 0.59 | 0.50 |
| 9 | 0.53 | 0.56 | 0.59 | 0.65 | 0.58 | 0.57 | 0.59 | 0.59 | 1.00 | 0.54 | 0.64 | 0.53 |
| 10 | 0.60 | 0.53 | 0.57 | 0.56 | 0.54 | 0.52 | 0.54 | 0.54 | 0.54 | 1.00 | 0.56 | 0.61 |
| 11 | 0.56 | 0.59 | 0.63 | 0.59 | 0.63 | 0.60 | 0.63 | 0.59 | 0.64 | 0.56 | 1.00 | 0.56 |
| 12 | 0.56 | 0.51 | 0.56 | 0.57 | 0.50 | 0.48 | 0.52 | 0.50 | 0.53 | 0.61 | 0.56 | 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