| Project Name | N49S |
| Project Name | N49S |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 171.4 | 160.8 | 150.2 | 145.0 | 133.7 | 132.4 | 88.3 | 85.4 | 76.0 | 67.6 | 54.0 | 50.3 |
| Cluster size | 272 | 231 | 238 | 244 | 177 | 215 | 141 | 107 | 79 | 106 | 78 | 112 |
| Average cluster RMSD | 1.6 | 1.4 | 1.6 | 1.7 | 1.3 | 1.6 | 1.6 | 1.3 | 1.0 | 1.6 | 1.4 | 2.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.40 | 3.99 | 4.96 | 5.29 | 6.17 | 3.47 | 6.84 | 4.66 | 5.93 | 7.08 | 3.92 | 6.49 |
| GDT_TS | 0.54 | 0.58 | 0.51 | 0.51 | 0.58 | 0.65 | 0.42 | 0.55 | 0.51 | 0.48 | 0.53 | 0.45 |
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 | 6.44 | 2.60 | 2.39 | 4.93 | 6.26 | 4.03 | 2.43 | 2.05 | 3.75 | 6.03 | 3.59 |
| 2 | 6.44 | 0.00 | 5.27 | 5.33 | 3.88 | 1.62 | 6.84 | 5.43 | 6.22 | 5.31 | 3.47 | 6.50 |
| 3 | 2.60 | 5.27 | 0.00 | 1.17 | 4.71 | 5.13 | 3.77 | 1.99 | 3.38 | 3.94 | 5.64 | 3.54 |
| 4 | 2.39 | 5.33 | 1.17 | 0.00 | 4.36 | 5.29 | 3.53 | 2.48 | 3.02 | 3.51 | 5.47 | 3.12 |
| 5 | 4.93 | 3.88 | 4.71 | 4.36 | 0.00 | 4.11 | 5.46 | 5.34 | 4.90 | 3.13 | 4.82 | 4.81 |
| 6 | 6.26 | 1.62 | 5.13 | 5.29 | 4.11 | 0.00 | 6.70 | 5.23 | 5.94 | 5.46 | 2.55 | 6.46 |
| 7 | 4.03 | 6.84 | 3.77 | 3.53 | 5.46 | 6.70 | 0.00 | 5.10 | 4.77 | 4.32 | 7.28 | 1.75 |
| 8 | 2.43 | 5.43 | 1.99 | 2.48 | 5.34 | 5.23 | 5.10 | 0.00 | 2.94 | 4.52 | 5.46 | 4.86 |
| 9 | 2.05 | 6.22 | 3.38 | 3.02 | 4.90 | 5.94 | 4.77 | 2.94 | 0.00 | 3.38 | 5.31 | 4.05 |
| 10 | 3.75 | 5.31 | 3.94 | 3.51 | 3.13 | 5.46 | 4.32 | 4.52 | 3.38 | 0.00 | 5.61 | 3.71 |
| 11 | 6.03 | 3.47 | 5.64 | 5.47 | 4.82 | 2.55 | 7.28 | 5.46 | 5.31 | 5.61 | 0.00 | 6.80 |
| 12 | 3.59 | 6.50 | 3.54 | 3.12 | 4.81 | 6.46 | 1.75 | 4.86 | 4.05 | 3.71 | 6.80 | 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 | 0.55 | 0.74 | 0.75 | 0.61 | 0.53 | 0.56 | 0.73 | 0.77 | 0.62 | 0.49 | 0.68 |
| 2 | 0.55 | 1.00 | 0.64 | 0.58 | 0.66 | 0.82 | 0.44 | 0.55 | 0.50 | 0.52 | 0.62 | 0.48 |
| 3 | 0.74 | 0.64 | 1.00 | 0.90 | 0.60 | 0.61 | 0.54 | 0.80 | 0.69 | 0.61 | 0.52 | 0.64 |
| 4 | 0.75 | 0.58 | 0.90 | 1.00 | 0.58 | 0.56 | 0.50 | 0.75 | 0.69 | 0.61 | 0.48 | 0.65 |
| 5 | 0.61 | 0.66 | 0.60 | 0.58 | 1.00 | 0.65 | 0.45 | 0.57 | 0.54 | 0.68 | 0.52 | 0.52 |
| 6 | 0.53 | 0.82 | 0.61 | 0.56 | 0.65 | 1.00 | 0.46 | 0.56 | 0.52 | 0.51 | 0.70 | 0.48 |
| 7 | 0.56 | 0.44 | 0.54 | 0.50 | 0.45 | 0.46 | 1.00 | 0.46 | 0.56 | 0.56 | 0.43 | 0.80 |
| 8 | 0.73 | 0.55 | 0.80 | 0.75 | 0.57 | 0.56 | 0.46 | 1.00 | 0.74 | 0.59 | 0.50 | 0.55 |
| 9 | 0.77 | 0.50 | 0.69 | 0.69 | 0.54 | 0.52 | 0.56 | 0.74 | 1.00 | 0.66 | 0.52 | 0.64 |
| 10 | 0.62 | 0.52 | 0.61 | 0.61 | 0.68 | 0.51 | 0.56 | 0.59 | 0.66 | 1.00 | 0.49 | 0.58 |
| 11 | 0.49 | 0.62 | 0.52 | 0.48 | 0.52 | 0.70 | 0.43 | 0.50 | 0.52 | 0.49 | 1.00 | 0.45 |
| 12 | 0.68 | 0.48 | 0.64 | 0.65 | 0.52 | 0.48 | 0.80 | 0.55 | 0.64 | 0.58 | 0.45 | 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