| Project Name | 129DEminimized |
| Project Name | 129DEminimized |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 210.7 | 192.9 | 155.5 | 119.5 | 111.0 | 105.4 | 86.3 | 70.4 | 59.9 | 39.0 | 35.6 | 27.7 |
| Cluster size | 427 | 311 | 345 | 233 | 140 | 132 | 90 | 73 | 69 | 46 | 71 | 63 |
| Average cluster RMSD | 2.0 | 1.6 | 2.2 | 2.0 | 1.3 | 1.3 | 1.0 | 1.0 | 1.2 | 1.2 | 2.0 | 2.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.29 | 3.72 | 3.75 | 3.75 | 4.40 | 4.78 | 4.49 | 6.22 | 5.27 | 5.86 | 5.13 | 3.47 |
| GDT_TS | 0.67 | 0.69 | 0.78 | 0.70 | 0.65 | 0.59 | 0.62 | 0.58 | 0.56 | 0.60 | 0.61 | 0.75 |
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 | 1.25 | 1.59 | 1.23 | 5.45 | 5.39 | 6.24 | 6.96 | 6.33 | 6.82 | 3.26 | 1.83 |
| 2 | 1.25 | 0.00 | 1.78 | 0.69 | 5.61 | 5.53 | 6.30 | 7.18 | 6.55 | 7.01 | 3.65 | 1.89 |
| 3 | 1.59 | 1.78 | 0.00 | 1.64 | 6.07 | 5.75 | 6.63 | 7.34 | 6.71 | 7.18 | 3.91 | 1.04 |
| 4 | 1.23 | 0.69 | 1.64 | 0.00 | 5.53 | 5.33 | 6.21 | 7.06 | 6.40 | 6.86 | 3.66 | 1.77 |
| 5 | 5.45 | 5.61 | 6.07 | 5.53 | 0.00 | 1.83 | 1.53 | 2.89 | 2.41 | 2.89 | 3.85 | 6.23 |
| 6 | 5.39 | 5.53 | 5.75 | 5.33 | 1.83 | 0.00 | 2.46 | 3.31 | 2.83 | 3.32 | 3.73 | 5.95 |
| 7 | 6.24 | 6.30 | 6.63 | 6.21 | 1.53 | 2.46 | 0.00 | 2.41 | 1.89 | 2.52 | 4.63 | 6.56 |
| 8 | 6.96 | 7.18 | 7.34 | 7.06 | 2.89 | 3.31 | 2.41 | 0.00 | 1.83 | 1.71 | 5.28 | 7.58 |
| 9 | 6.33 | 6.55 | 6.71 | 6.40 | 2.41 | 2.83 | 1.89 | 1.83 | 0.00 | 1.72 | 4.92 | 6.89 |
| 10 | 6.82 | 7.01 | 7.18 | 6.86 | 2.89 | 3.32 | 2.52 | 1.71 | 1.72 | 0.00 | 5.23 | 7.42 |
| 11 | 3.26 | 3.65 | 3.91 | 3.66 | 3.85 | 3.73 | 4.63 | 5.28 | 4.92 | 5.23 | 0.00 | 4.41 |
| 12 | 1.83 | 1.89 | 1.04 | 1.77 | 6.23 | 5.95 | 6.56 | 7.58 | 6.89 | 7.42 | 4.41 | 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 | 0.88 | 0.86 | 0.91 | 0.61 | 0.60 | 0.61 | 0.60 | 0.56 | 0.58 | 0.77 | 0.83 |
| 2 | 0.88 | 1.00 | 0.80 | 0.98 | 0.61 | 0.63 | 0.59 | 0.59 | 0.54 | 0.57 | 0.73 | 0.77 |
| 3 | 0.86 | 0.80 | 1.00 | 0.84 | 0.61 | 0.61 | 0.60 | 0.58 | 0.55 | 0.57 | 0.71 | 0.92 |
| 4 | 0.91 | 0.98 | 0.84 | 1.00 | 0.62 | 0.63 | 0.58 | 0.59 | 0.53 | 0.57 | 0.75 | 0.82 |
| 5 | 0.61 | 0.61 | 0.61 | 0.62 | 1.00 | 0.82 | 0.83 | 0.76 | 0.70 | 0.75 | 0.63 | 0.56 |
| 6 | 0.60 | 0.63 | 0.61 | 0.63 | 0.82 | 1.00 | 0.73 | 0.69 | 0.67 | 0.69 | 0.59 | 0.56 |
| 7 | 0.61 | 0.59 | 0.60 | 0.58 | 0.83 | 0.73 | 1.00 | 0.80 | 0.80 | 0.81 | 0.57 | 0.59 |
| 8 | 0.60 | 0.59 | 0.58 | 0.59 | 0.76 | 0.69 | 0.80 | 1.00 | 0.77 | 0.87 | 0.57 | 0.55 |
| 9 | 0.56 | 0.54 | 0.55 | 0.53 | 0.70 | 0.67 | 0.80 | 0.77 | 1.00 | 0.90 | 0.55 | 0.55 |
| 10 | 0.58 | 0.57 | 0.57 | 0.57 | 0.75 | 0.69 | 0.81 | 0.87 | 0.90 | 1.00 | 0.55 | 0.56 |
| 11 | 0.77 | 0.73 | 0.71 | 0.75 | 0.63 | 0.59 | 0.57 | 0.57 | 0.55 | 0.55 | 1.00 | 0.64 |
| 12 | 0.83 | 0.77 | 0.92 | 0.82 | 0.56 | 0.56 | 0.59 | 0.55 | 0.55 | 0.56 | 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