| Project Name | A86STIME2 |
| Project Name | A86STIME2 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 97.8 | 96.7 | 75.6 | 72.6 | 65.9 | 63.4 | 56.4 | 51.3 | 50.7 | 44.1 | 35.2 | 33.1 |
| Cluster size | 291 | 235 | 206 | 164 | 150 | 194 | 181 | 141 | 160 | 122 | 84 | 72 |
| Average cluster RMSD | 3.0 | 2.4 | 2.7 | 2.3 | 2.3 | 3.1 | 3.2 | 2.8 | 3.2 | 2.8 | 2.4 | 2.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.37 | 4.95 | 5.65 | 5.34 | 6.89 | 5.68 | 4.96 | 6.14 | 4.76 | 6.12 | 7.81 | 7.29 |
| GDT_TS | 0.69 | 0.50 | 0.53 | 0.49 | 0.52 | 0.55 | 0.63 | 0.51 | 0.49 | 0.55 | 0.46 | 0.51 |
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 | 5.34 | 4.96 | 5.54 | 5.96 | 4.55 | 3.52 | 5.49 | 4.48 | 5.15 | 7.20 | 6.74 |
| 2 | 5.34 | 0.00 | 4.69 | 2.95 | 6.07 | 4.70 | 4.62 | 5.23 | 2.91 | 5.45 | 7.10 | 6.73 |
| 3 | 4.96 | 4.69 | 0.00 | 3.14 | 3.40 | 2.59 | 4.73 | 2.69 | 3.55 | 3.57 | 4.44 | 4.35 |
| 4 | 5.54 | 2.95 | 3.14 | 0.00 | 4.46 | 3.64 | 4.55 | 3.69 | 3.18 | 4.40 | 5.27 | 4.82 |
| 5 | 5.96 | 6.07 | 3.40 | 4.46 | 0.00 | 2.90 | 5.23 | 2.77 | 5.30 | 2.23 | 2.31 | 3.27 |
| 6 | 4.55 | 4.70 | 2.59 | 3.64 | 2.90 | 0.00 | 3.62 | 2.72 | 3.33 | 2.37 | 4.41 | 4.41 |
| 7 | 3.52 | 4.62 | 4.73 | 4.55 | 5.23 | 3.62 | 0.00 | 5.17 | 3.49 | 4.32 | 6.71 | 6.54 |
| 8 | 5.49 | 5.23 | 2.69 | 3.69 | 2.77 | 2.72 | 5.17 | 0.00 | 4.42 | 3.26 | 3.47 | 3.24 |
| 9 | 4.48 | 2.91 | 3.55 | 3.18 | 5.30 | 3.33 | 3.49 | 4.42 | 0.00 | 4.45 | 6.60 | 6.53 |
| 10 | 5.15 | 5.45 | 3.57 | 4.40 | 2.23 | 2.37 | 4.32 | 3.26 | 4.45 | 0.00 | 3.89 | 4.51 |
| 11 | 7.20 | 7.10 | 4.44 | 5.27 | 2.31 | 4.41 | 6.71 | 3.47 | 6.60 | 3.89 | 0.00 | 3.41 |
| 12 | 6.74 | 6.73 | 4.35 | 4.82 | 3.27 | 4.41 | 6.54 | 3.24 | 6.53 | 4.51 | 3.41 | 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 | 0.53 | 0.56 | 0.54 | 0.57 | 0.57 | 0.74 | 0.54 | 0.56 | 0.59 | 0.54 | 0.49 |
| 2 | 0.53 | 1.00 | 0.64 | 0.83 | 0.60 | 0.71 | 0.60 | 0.63 | 0.76 | 0.62 | 0.63 | 0.66 |
| 3 | 0.56 | 0.64 | 1.00 | 0.67 | 0.78 | 0.69 | 0.58 | 0.78 | 0.72 | 0.66 | 0.77 | 0.61 |
| 4 | 0.54 | 0.83 | 0.67 | 1.00 | 0.68 | 0.72 | 0.61 | 0.67 | 0.71 | 0.64 | 0.67 | 0.63 |
| 5 | 0.57 | 0.60 | 0.78 | 0.68 | 1.00 | 0.78 | 0.64 | 0.88 | 0.75 | 0.78 | 0.81 | 0.70 |
| 6 | 0.57 | 0.71 | 0.69 | 0.72 | 0.78 | 1.00 | 0.66 | 0.77 | 0.78 | 0.79 | 0.72 | 0.64 |
| 7 | 0.74 | 0.60 | 0.58 | 0.61 | 0.64 | 0.66 | 1.00 | 0.59 | 0.62 | 0.69 | 0.54 | 0.55 |
| 8 | 0.54 | 0.63 | 0.78 | 0.67 | 0.88 | 0.77 | 0.59 | 1.00 | 0.73 | 0.71 | 0.81 | 0.67 |
| 9 | 0.56 | 0.76 | 0.72 | 0.71 | 0.75 | 0.78 | 0.62 | 0.73 | 1.00 | 0.72 | 0.75 | 0.64 |
| 10 | 0.59 | 0.62 | 0.66 | 0.64 | 0.78 | 0.79 | 0.69 | 0.71 | 0.72 | 1.00 | 0.67 | 0.67 |
| 11 | 0.54 | 0.63 | 0.77 | 0.67 | 0.81 | 0.72 | 0.54 | 0.81 | 0.75 | 0.67 | 1.00 | 0.68 |
| 12 | 0.49 | 0.66 | 0.61 | 0.63 | 0.70 | 0.64 | 0.55 | 0.67 | 0.64 | 0.67 | 0.68 | 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