| Project Name | arg-Leu_end |
| Project Name | arg-Leu_end |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 120.6 | 100.9 | 94.0 | 76.1 | 63.9 | 56.1 | 56.1 | 55.4 | 46.8 | 40.9 | 37.0 | 32.5 |
| Cluster size | 276 | 246 | 265 | 218 | 202 | 145 | 160 | 113 | 110 | 118 | 68 | 79 |
| Average cluster RMSD | 2.3 | 2.4 | 2.8 | 2.9 | 3.2 | 2.6 | 2.9 | 2.0 | 2.3 | 2.9 | 1.8 | 2.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.76 | 5.15 | 5.05 | 5.74 | 6.00 | 5.58 | 6.65 | 4.65 | 6.95 | 6.21 | 7.64 | 7.47 |
| GDT_TS | 0.63 | 0.63 | 0.65 | 0.63 | 0.61 | 0.59 | 0.64 | 0.63 | 0.55 | 0.61 | 0.67 | 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 | 1.41 | 1.73 | 2.85 | 3.25 | 2.59 | 4.38 | 1.72 | 3.67 | 3.85 | 5.41 | 5.32 |
| 2 | 1.41 | 0.00 | 2.39 | 3.37 | 3.57 | 2.77 | 4.64 | 2.18 | 3.35 | 4.19 | 5.49 | 5.35 |
| 3 | 1.73 | 2.39 | 0.00 | 2.68 | 3.08 | 2.77 | 4.32 | 2.47 | 4.07 | 3.69 | 5.05 | 5.00 |
| 4 | 2.85 | 3.37 | 2.68 | 0.00 | 2.29 | 3.29 | 2.97 | 3.15 | 4.64 | 2.01 | 4.64 | 3.92 |
| 5 | 3.25 | 3.57 | 3.08 | 2.29 | 0.00 | 2.91 | 2.71 | 3.40 | 3.94 | 2.62 | 4.72 | 3.29 |
| 6 | 2.59 | 2.77 | 2.77 | 3.29 | 2.91 | 0.00 | 3.86 | 2.37 | 3.51 | 4.15 | 6.16 | 4.67 |
| 7 | 4.38 | 4.64 | 4.32 | 2.97 | 2.71 | 3.86 | 0.00 | 4.46 | 4.99 | 2.74 | 5.31 | 2.41 |
| 8 | 1.72 | 2.18 | 2.47 | 3.15 | 3.40 | 2.37 | 4.46 | 0.00 | 3.68 | 3.83 | 5.93 | 5.45 |
| 9 | 3.67 | 3.35 | 4.07 | 4.64 | 3.94 | 3.51 | 4.99 | 3.68 | 0.00 | 4.64 | 5.35 | 5.41 |
| 10 | 3.85 | 4.19 | 3.69 | 2.01 | 2.62 | 4.15 | 2.74 | 3.83 | 4.64 | 0.00 | 3.76 | 3.52 |
| 11 | 5.41 | 5.49 | 5.05 | 4.64 | 4.72 | 6.16 | 5.31 | 5.93 | 5.35 | 3.76 | 0.00 | 5.62 |
| 12 | 5.32 | 5.35 | 5.00 | 3.92 | 3.29 | 4.67 | 2.41 | 5.45 | 5.41 | 3.52 | 5.62 | 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 | 0.90 | 0.82 | 0.86 | 0.78 | 0.71 | 0.69 | 0.80 | 0.67 | 0.77 | 0.79 | 0.64 |
| 2 | 0.90 | 1.00 | 0.77 | 0.89 | 0.77 | 0.74 | 0.71 | 0.81 | 0.71 | 0.76 | 0.74 | 0.69 |
| 3 | 0.82 | 0.77 | 1.00 | 0.77 | 0.69 | 0.70 | 0.63 | 0.73 | 0.58 | 0.69 | 0.76 | 0.60 |
| 4 | 0.86 | 0.89 | 0.77 | 1.00 | 0.76 | 0.76 | 0.75 | 0.82 | 0.69 | 0.84 | 0.76 | 0.71 |
| 5 | 0.78 | 0.77 | 0.69 | 0.76 | 1.00 | 0.85 | 0.75 | 0.79 | 0.67 | 0.76 | 0.78 | 0.69 |
| 6 | 0.71 | 0.74 | 0.70 | 0.76 | 0.85 | 1.00 | 0.83 | 0.82 | 0.67 | 0.80 | 0.75 | 0.70 |
| 7 | 0.69 | 0.71 | 0.63 | 0.75 | 0.75 | 0.83 | 1.00 | 0.78 | 0.77 | 0.82 | 0.75 | 0.71 |
| 8 | 0.80 | 0.81 | 0.73 | 0.82 | 0.79 | 0.82 | 0.78 | 1.00 | 0.69 | 0.90 | 0.82 | 0.66 |
| 9 | 0.67 | 0.71 | 0.58 | 0.69 | 0.67 | 0.67 | 0.77 | 0.69 | 1.00 | 0.70 | 0.69 | 0.68 |
| 10 | 0.77 | 0.76 | 0.69 | 0.84 | 0.76 | 0.80 | 0.82 | 0.90 | 0.70 | 1.00 | 0.79 | 0.72 |
| 11 | 0.79 | 0.74 | 0.76 | 0.76 | 0.78 | 0.75 | 0.75 | 0.82 | 0.69 | 0.79 | 1.00 | 0.64 |
| 12 | 0.64 | 0.69 | 0.60 | 0.71 | 0.69 | 0.70 | 0.71 | 0.66 | 0.68 | 0.72 | 0.64 | 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