| Project Name | AK2 |
| Project Name | AK2 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 171.3 | 153.1 | 138.7 | 133.5 | 122.7 | 113.6 | 104.0 | 91.7 | 88.9 | 86.9 | 76.8 | 23.8 |
| Cluster size | 272 | 252 | 193 | 196 | 198 | 185 | 124 | 161 | 154 | 120 | 105 | 40 |
| Average cluster RMSD | 1.6 | 1.6 | 1.4 | 1.5 | 1.6 | 1.6 | 1.2 | 1.8 | 1.7 | 1.4 | 1.4 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.57 | 3.81 | 3.99 | 4.12 | 4.79 | 3.70 | 4.47 | 3.96 | 3.85 | 4.08 | 4.72 | 3.65 |
| GDT_TS | 0.66 | 0.64 | 0.64 | 0.65 | 0.62 | 0.62 | 0.60 | 0.60 | 0.61 | 0.65 | 0.61 | 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 | 2.03 | 2.81 | 2.44 | 3.39 | 1.86 | 2.32 | 2.21 | 1.94 | 2.77 | 3.04 | 3.56 |
| 2 | 2.03 | 0.00 | 2.55 | 2.24 | 2.79 | 1.86 | 2.38 | 2.04 | 1.75 | 2.60 | 2.56 | 3.81 |
| 3 | 2.81 | 2.55 | 0.00 | 2.31 | 2.79 | 2.73 | 3.23 | 2.77 | 2.77 | 1.87 | 2.33 | 4.15 |
| 4 | 2.44 | 2.24 | 2.31 | 0.00 | 2.50 | 2.26 | 2.48 | 2.19 | 2.27 | 2.51 | 2.20 | 3.84 |
| 5 | 3.39 | 2.79 | 2.79 | 2.50 | 0.00 | 3.33 | 3.40 | 3.03 | 3.18 | 2.95 | 2.43 | 4.58 |
| 6 | 1.86 | 1.86 | 2.73 | 2.26 | 3.33 | 0.00 | 2.47 | 1.99 | 1.33 | 2.64 | 2.77 | 3.65 |
| 7 | 2.32 | 2.38 | 3.23 | 2.48 | 3.40 | 2.47 | 0.00 | 2.65 | 2.35 | 3.07 | 2.97 | 4.30 |
| 8 | 2.21 | 2.04 | 2.77 | 2.19 | 3.03 | 1.99 | 2.65 | 0.00 | 1.89 | 3.06 | 2.85 | 3.42 |
| 9 | 1.94 | 1.75 | 2.77 | 2.27 | 3.18 | 1.33 | 2.35 | 1.89 | 0.00 | 2.75 | 2.67 | 3.46 |
| 10 | 2.77 | 2.60 | 1.87 | 2.51 | 2.95 | 2.64 | 3.07 | 3.06 | 2.75 | 0.00 | 2.28 | 4.47 |
| 11 | 3.04 | 2.56 | 2.33 | 2.20 | 2.43 | 2.77 | 2.97 | 2.85 | 2.67 | 2.28 | 0.00 | 4.51 |
| 12 | 3.56 | 3.81 | 4.15 | 3.84 | 4.58 | 3.65 | 4.30 | 3.42 | 3.46 | 4.47 | 4.51 | 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 | 0.79 | 0.69 | 0.76 | 0.69 | 0.78 | 0.77 | 0.76 | 0.77 | 0.69 | 0.69 | 0.68 |
| 2 | 0.79 | 1.00 | 0.71 | 0.76 | 0.74 | 0.85 | 0.74 | 0.79 | 0.85 | 0.72 | 0.71 | 0.70 |
| 3 | 0.69 | 0.71 | 1.00 | 0.71 | 0.71 | 0.68 | 0.67 | 0.68 | 0.68 | 0.82 | 0.74 | 0.62 |
| 4 | 0.76 | 0.76 | 0.71 | 1.00 | 0.73 | 0.77 | 0.77 | 0.75 | 0.76 | 0.72 | 0.76 | 0.70 |
| 5 | 0.69 | 0.74 | 0.71 | 0.73 | 1.00 | 0.72 | 0.66 | 0.69 | 0.71 | 0.72 | 0.75 | 0.63 |
| 6 | 0.78 | 0.85 | 0.68 | 0.77 | 0.72 | 1.00 | 0.75 | 0.82 | 0.88 | 0.70 | 0.70 | 0.71 |
| 7 | 0.77 | 0.74 | 0.67 | 0.77 | 0.66 | 0.75 | 1.00 | 0.71 | 0.76 | 0.68 | 0.70 | 0.67 |
| 8 | 0.76 | 0.79 | 0.68 | 0.75 | 0.69 | 0.82 | 0.71 | 1.00 | 0.81 | 0.66 | 0.68 | 0.73 |
| 9 | 0.77 | 0.85 | 0.68 | 0.76 | 0.71 | 0.88 | 0.76 | 0.81 | 1.00 | 0.68 | 0.69 | 0.72 |
| 10 | 0.69 | 0.72 | 0.82 | 0.72 | 0.72 | 0.70 | 0.68 | 0.66 | 0.68 | 1.00 | 0.77 | 0.62 |
| 11 | 0.69 | 0.71 | 0.74 | 0.76 | 0.75 | 0.70 | 0.70 | 0.68 | 0.69 | 0.77 | 1.00 | 0.62 |
| 12 | 0.68 | 0.70 | 0.62 | 0.70 | 0.63 | 0.71 | 0.67 | 0.73 | 0.72 | 0.62 | 0.62 | 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