| Project Name | TamilmaraN |
| Project Name | TamilmaraN |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 162.5 | 141.4 | 137.5 | 122.5 | 119.1 | 116.9 | 112.4 | 101.7 | 41.3 | 40.0 | 32.8 | 18.4 |
| Cluster size | 283 | 238 | 263 | 238 | 175 | 200 | 165 | 150 | 109 | 87 | 58 | 34 |
| Average cluster RMSD | 1.7 | 1.7 | 1.9 | 1.9 | 1.5 | 1.7 | 1.5 | 1.5 | 2.6 | 2.2 | 1.8 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.94 | 8.20 | 7.84 | 8.33 | 8.39 | 8.08 | 9.90 | 9.20 | 6.06 | 7.70 | 6.92 | 6.17 |
| GDT_TS | 0.53 | 0.51 | 0.49 | 0.52 | 0.52 | 0.51 | 0.48 | 0.52 | 0.54 | 0.52 | 0.53 | 0.52 |
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 | 2.68 | 2.62 | 2.75 | 2.91 | 2.17 | 4.16 | 3.45 | 5.90 | 4.46 | 5.31 | 4.99 |
| 2 | 2.68 | 0.00 | 3.24 | 3.15 | 3.12 | 3.31 | 3.18 | 2.70 | 6.60 | 5.45 | 6.34 | 5.36 |
| 3 | 2.62 | 3.24 | 0.00 | 2.15 | 2.92 | 2.84 | 5.15 | 4.39 | 5.57 | 3.89 | 4.87 | 4.89 |
| 4 | 2.75 | 3.15 | 2.15 | 0.00 | 2.48 | 2.84 | 4.92 | 4.28 | 5.88 | 4.01 | 5.28 | 5.32 |
| 5 | 2.91 | 3.12 | 2.92 | 2.48 | 0.00 | 3.28 | 4.33 | 3.88 | 6.82 | 5.15 | 6.25 | 5.94 |
| 6 | 2.17 | 3.31 | 2.84 | 2.84 | 3.28 | 0.00 | 4.62 | 3.89 | 5.95 | 3.92 | 5.08 | 4.94 |
| 7 | 4.16 | 3.18 | 5.15 | 4.92 | 4.33 | 4.62 | 0.00 | 2.21 | 8.69 | 6.98 | 8.00 | 7.03 |
| 8 | 3.45 | 2.70 | 4.39 | 4.28 | 3.88 | 3.89 | 2.21 | 0.00 | 7.75 | 5.99 | 7.05 | 6.02 |
| 9 | 5.90 | 6.60 | 5.57 | 5.88 | 6.82 | 5.95 | 8.69 | 7.75 | 0.00 | 4.61 | 3.53 | 3.90 |
| 10 | 4.46 | 5.45 | 3.89 | 4.01 | 5.15 | 3.92 | 6.98 | 5.99 | 4.61 | 0.00 | 2.77 | 4.19 |
| 11 | 5.31 | 6.34 | 4.87 | 5.28 | 6.25 | 5.08 | 8.00 | 7.05 | 3.53 | 2.77 | 0.00 | 3.91 |
| 12 | 4.99 | 5.36 | 4.89 | 5.32 | 5.94 | 4.94 | 7.03 | 6.02 | 3.90 | 4.19 | 3.91 | 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 | 0.74 | 0.73 | 0.72 | 0.70 | 0.78 | 0.68 | 0.73 | 0.62 | 0.68 | 0.67 | 0.62 |
| 2 | 0.74 | 1.00 | 0.69 | 0.72 | 0.68 | 0.68 | 0.72 | 0.73 | 0.59 | 0.64 | 0.63 | 0.59 |
| 3 | 0.73 | 0.69 | 1.00 | 0.79 | 0.74 | 0.72 | 0.64 | 0.66 | 0.60 | 0.68 | 0.67 | 0.60 |
| 4 | 0.72 | 0.72 | 0.79 | 1.00 | 0.75 | 0.73 | 0.64 | 0.66 | 0.63 | 0.74 | 0.70 | 0.62 |
| 5 | 0.70 | 0.68 | 0.74 | 0.75 | 1.00 | 0.73 | 0.61 | 0.63 | 0.61 | 0.68 | 0.64 | 0.60 |
| 6 | 0.78 | 0.68 | 0.72 | 0.73 | 0.73 | 1.00 | 0.61 | 0.65 | 0.63 | 0.70 | 0.66 | 0.61 |
| 7 | 0.68 | 0.72 | 0.64 | 0.64 | 0.61 | 0.61 | 1.00 | 0.76 | 0.55 | 0.58 | 0.59 | 0.55 |
| 8 | 0.73 | 0.73 | 0.66 | 0.66 | 0.63 | 0.65 | 0.76 | 1.00 | 0.58 | 0.60 | 0.63 | 0.59 |
| 9 | 0.62 | 0.59 | 0.60 | 0.63 | 0.61 | 0.63 | 0.55 | 0.58 | 1.00 | 0.67 | 0.69 | 0.76 |
| 10 | 0.68 | 0.64 | 0.68 | 0.74 | 0.68 | 0.70 | 0.58 | 0.60 | 0.67 | 1.00 | 0.77 | 0.66 |
| 11 | 0.67 | 0.63 | 0.67 | 0.70 | 0.64 | 0.66 | 0.59 | 0.63 | 0.69 | 0.77 | 1.00 | 0.67 |
| 12 | 0.62 | 0.59 | 0.60 | 0.62 | 0.60 | 0.61 | 0.55 | 0.59 | 0.76 | 0.66 | 0.67 | 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