| Project Name | Ala_ser |
| Project Name | Ala_ser |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 212.0 | 161.6 | 143.5 | 137.2 | 122.7 | 95.7 | 94.0 | 90.9 | 86.0 | 75.0 | 69.8 | 58.9 |
| Cluster size | 345 | 205 | 215 | 160 | 164 | 148 | 167 | 126 | 117 | 142 | 106 | 105 |
| Average cluster RMSD | 1.6 | 1.3 | 1.5 | 1.2 | 1.3 | 1.5 | 1.8 | 1.4 | 1.4 | 1.9 | 1.5 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.15 | 8.10 | 6.16 | 8.10 | 7.65 | 6.98 | 6.78 | 6.68 | 6.69 | 6.55 | 8.60 | 6.91 |
| GDT_TS | 0.59 | 0.60 | 0.57 | 0.50 | 0.51 | 0.52 | 0.53 | 0.62 | 0.54 | 0.61 | 0.54 | 0.58 |
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 | 1.98 | 2.42 | 3.19 | 2.97 | 3.03 | 3.57 | 3.53 | 3.58 | 1.36 | 2.95 | 4.63 |
| 2 | 1.98 | 0.00 | 3.20 | 2.30 | 2.96 | 3.35 | 3.86 | 4.02 | 4.51 | 2.53 | 2.27 | 5.25 |
| 3 | 2.42 | 3.20 | 0.00 | 3.90 | 2.19 | 1.67 | 3.36 | 3.28 | 2.47 | 2.06 | 4.21 | 4.23 |
| 4 | 3.19 | 2.30 | 3.90 | 0.00 | 3.95 | 4.19 | 3.01 | 3.81 | 5.31 | 3.28 | 2.83 | 4.51 |
| 5 | 2.97 | 2.96 | 2.19 | 3.95 | 0.00 | 1.53 | 3.90 | 3.22 | 3.18 | 2.64 | 4.08 | 4.51 |
| 6 | 3.03 | 3.35 | 1.67 | 4.19 | 1.53 | 0.00 | 3.61 | 3.36 | 2.60 | 2.72 | 4.42 | 4.33 |
| 7 | 3.57 | 3.86 | 3.36 | 3.01 | 3.90 | 3.61 | 0.00 | 2.24 | 4.54 | 3.09 | 4.53 | 2.32 |
| 8 | 3.53 | 4.02 | 3.28 | 3.81 | 3.22 | 3.36 | 2.24 | 0.00 | 4.25 | 2.76 | 4.71 | 2.31 |
| 9 | 3.58 | 4.51 | 2.47 | 5.31 | 3.18 | 2.60 | 4.54 | 4.25 | 0.00 | 3.30 | 4.99 | 4.53 |
| 10 | 1.36 | 2.53 | 2.06 | 3.28 | 2.64 | 2.72 | 3.09 | 2.76 | 3.30 | 0.00 | 3.39 | 3.90 |
| 11 | 2.95 | 2.27 | 4.21 | 2.83 | 4.08 | 4.42 | 4.53 | 4.71 | 4.99 | 3.39 | 0.00 | 5.41 |
| 12 | 4.63 | 5.25 | 4.23 | 4.51 | 4.51 | 4.33 | 2.32 | 2.31 | 4.53 | 3.90 | 5.41 | 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 | 0.83 | 0.76 | 0.69 | 0.69 | 0.67 | 0.57 | 0.67 | 0.69 | 0.86 | 0.81 | 0.61 |
| 2 | 0.83 | 1.00 | 0.70 | 0.76 | 0.69 | 0.69 | 0.62 | 0.64 | 0.67 | 0.77 | 0.91 | 0.61 |
| 3 | 0.76 | 0.70 | 1.00 | 0.70 | 0.79 | 0.79 | 0.63 | 0.66 | 0.90 | 0.76 | 0.67 | 0.64 |
| 4 | 0.69 | 0.76 | 0.70 | 1.00 | 0.64 | 0.67 | 0.73 | 0.66 | 0.65 | 0.67 | 0.71 | 0.67 |
| 5 | 0.69 | 0.69 | 0.79 | 0.64 | 1.00 | 0.86 | 0.54 | 0.63 | 0.71 | 0.69 | 0.64 | 0.57 |
| 6 | 0.67 | 0.69 | 0.79 | 0.67 | 0.86 | 1.00 | 0.63 | 0.63 | 0.81 | 0.64 | 0.64 | 0.61 |
| 7 | 0.57 | 0.62 | 0.63 | 0.73 | 0.54 | 0.63 | 1.00 | 0.72 | 0.57 | 0.63 | 0.60 | 0.79 |
| 8 | 0.67 | 0.64 | 0.66 | 0.66 | 0.63 | 0.63 | 0.72 | 1.00 | 0.58 | 0.72 | 0.63 | 0.81 |
| 9 | 0.69 | 0.67 | 0.90 | 0.65 | 0.71 | 0.81 | 0.57 | 0.58 | 1.00 | 0.68 | 0.66 | 0.61 |
| 10 | 0.86 | 0.77 | 0.76 | 0.67 | 0.69 | 0.64 | 0.63 | 0.72 | 0.68 | 1.00 | 0.74 | 0.64 |
| 11 | 0.81 | 0.91 | 0.67 | 0.71 | 0.64 | 0.64 | 0.60 | 0.63 | 0.66 | 0.74 | 1.00 | 0.61 |
| 12 | 0.61 | 0.61 | 0.64 | 0.67 | 0.57 | 0.61 | 0.79 | 0.81 | 0.61 | 0.64 | 0.61 | 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