| Project Name | Arg_Gln_end |
| Project Name | Arg_Gln_end |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 132.3 | 91.7 | 74.1 | 73.5 | 65.6 | 63.9 | 63.6 | 39.7 | 37.7 | 29.2 | 29.0 | 22.5 |
| Cluster size | 333 | 254 | 224 | 213 | 182 | 182 | 149 | 124 | 123 | 100 | 68 | 48 |
| Average cluster RMSD | 2.5 | 2.8 | 3.0 | 2.9 | 2.8 | 2.8 | 2.3 | 3.1 | 3.3 | 3.4 | 2.3 | 2.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.99 | 5.18 | 4.86 | 5.25 | 5.49 | 5.20 | 4.36 | 5.69 | 6.11 | 5.98 | 4.36 | 6.82 |
| GDT_TS | 0.61 | 0.60 | 0.56 | 0.57 | 0.60 | 0.53 | 0.61 | 0.58 | 0.58 | 0.60 | 0.53 | 0.60 |
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 | 2.11 | 4.53 | 2.73 | 1.52 | 2.40 | 2.51 | 3.31 | 4.88 | 3.78 | 2.47 | 5.80 |
| 2 | 2.11 | 0.00 | 4.13 | 2.37 | 2.13 | 2.75 | 2.51 | 3.03 | 4.69 | 3.69 | 2.90 | 5.75 |
| 3 | 4.53 | 4.13 | 0.00 | 3.30 | 4.70 | 4.55 | 4.53 | 4.01 | 4.06 | 4.35 | 4.98 | 4.35 |
| 4 | 2.73 | 2.37 | 3.30 | 0.00 | 2.47 | 3.37 | 3.43 | 3.73 | 4.66 | 3.65 | 3.53 | 5.70 |
| 5 | 1.52 | 2.13 | 4.70 | 2.47 | 0.00 | 2.97 | 2.71 | 3.71 | 5.36 | 3.96 | 2.70 | 6.26 |
| 6 | 2.40 | 2.75 | 4.55 | 3.37 | 2.97 | 0.00 | 2.78 | 2.35 | 4.74 | 3.37 | 2.94 | 5.13 |
| 7 | 2.51 | 2.51 | 4.53 | 3.43 | 2.71 | 2.78 | 0.00 | 2.84 | 5.27 | 4.41 | 2.20 | 6.23 |
| 8 | 3.31 | 3.03 | 4.01 | 3.73 | 3.71 | 2.35 | 2.84 | 0.00 | 4.16 | 3.37 | 3.98 | 4.95 |
| 9 | 4.88 | 4.69 | 4.06 | 4.66 | 5.36 | 4.74 | 5.27 | 4.16 | 0.00 | 3.41 | 6.08 | 3.15 |
| 10 | 3.78 | 3.69 | 4.35 | 3.65 | 3.96 | 3.37 | 4.41 | 3.37 | 3.41 | 0.00 | 5.11 | 4.25 |
| 11 | 2.47 | 2.90 | 4.98 | 3.53 | 2.70 | 2.94 | 2.20 | 3.98 | 6.08 | 5.11 | 0.00 | 6.96 |
| 12 | 5.80 | 5.75 | 4.35 | 5.70 | 6.26 | 5.13 | 6.23 | 4.95 | 3.15 | 4.25 | 6.96 | 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 | 0.78 | 0.64 | 0.74 | 0.92 | 0.80 | 0.67 | 0.66 | 0.60 | 0.74 | 0.75 | 0.65 |
| 2 | 0.78 | 1.00 | 0.68 | 0.79 | 0.77 | 0.75 | 0.74 | 0.73 | 0.62 | 0.72 | 0.73 | 0.67 |
| 3 | 0.64 | 0.68 | 1.00 | 0.78 | 0.64 | 0.68 | 0.64 | 0.60 | 0.61 | 0.63 | 0.67 | 0.67 |
| 4 | 0.74 | 0.79 | 0.78 | 1.00 | 0.75 | 0.72 | 0.65 | 0.65 | 0.62 | 0.68 | 0.71 | 0.72 |
| 5 | 0.92 | 0.77 | 0.64 | 0.75 | 1.00 | 0.75 | 0.69 | 0.68 | 0.58 | 0.71 | 0.74 | 0.65 |
| 6 | 0.80 | 0.75 | 0.68 | 0.72 | 0.75 | 1.00 | 0.75 | 0.75 | 0.58 | 0.72 | 0.90 | 0.55 |
| 7 | 0.67 | 0.74 | 0.64 | 0.65 | 0.69 | 0.75 | 1.00 | 0.85 | 0.62 | 0.68 | 0.80 | 0.58 |
| 8 | 0.66 | 0.73 | 0.60 | 0.65 | 0.68 | 0.75 | 0.85 | 1.00 | 0.61 | 0.67 | 0.76 | 0.57 |
| 9 | 0.60 | 0.62 | 0.61 | 0.62 | 0.58 | 0.58 | 0.62 | 0.61 | 1.00 | 0.80 | 0.57 | 0.70 |
| 10 | 0.74 | 0.72 | 0.63 | 0.68 | 0.71 | 0.72 | 0.68 | 0.67 | 0.80 | 1.00 | 0.66 | 0.71 |
| 11 | 0.75 | 0.73 | 0.67 | 0.71 | 0.74 | 0.90 | 0.80 | 0.76 | 0.57 | 0.66 | 1.00 | 0.56 |
| 12 | 0.65 | 0.67 | 0.67 | 0.72 | 0.65 | 0.55 | 0.58 | 0.57 | 0.70 | 0.71 | 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