| Project Name | control |
| Project Name | control |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 90.7 | 83.1 | 79.7 | 67.4 | 66.0 | 61.4 | 60.0 | 56.0 | 53.0 | 50.3 | 49.1 | 47.3 |
| Cluster size | 229 | 200 | 228 | 193 | 201 | 182 | 138 | 151 | 155 | 77 | 118 | 128 |
| Average cluster RMSD | 2.5 | 2.4 | 2.9 | 2.9 | 3.0 | 3.0 | 2.3 | 2.7 | 2.9 | 1.5 | 2.4 | 2.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.36 | 3.72 | 4.45 | 4.03 | 4.49 | 5.32 | 4.14 | 4.23 | 4.95 | 7.24 | 6.11 | 4.41 |
| GDT_TS | 0.63 | 0.66 | 0.48 | 0.66 | 0.56 | 0.61 | 0.62 | 0.57 | 0.56 | 0.51 | 0.58 | 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 | 1.96 | 2.88 | 2.60 | 2.55 | 3.58 | 1.26 | 2.51 | 3.78 | 6.09 | 4.96 | 3.24 |
| 2 | 1.96 | 0.00 | 3.88 | 2.44 | 3.40 | 4.01 | 1.82 | 3.23 | 3.86 | 6.62 | 5.26 | 3.43 |
| 3 | 2.88 | 3.88 | 0.00 | 3.53 | 2.95 | 3.43 | 3.48 | 2.67 | 3.80 | 5.30 | 4.48 | 3.41 |
| 4 | 2.60 | 2.44 | 3.53 | 0.00 | 2.52 | 3.20 | 2.48 | 2.47 | 2.33 | 5.97 | 5.04 | 1.75 |
| 5 | 2.55 | 3.40 | 2.95 | 2.52 | 0.00 | 2.28 | 2.66 | 1.29 | 2.64 | 5.67 | 4.88 | 2.36 |
| 6 | 3.58 | 4.01 | 3.43 | 3.20 | 2.28 | 0.00 | 3.52 | 2.27 | 3.03 | 5.04 | 4.40 | 2.84 |
| 7 | 1.26 | 1.82 | 3.48 | 2.48 | 2.66 | 3.52 | 0.00 | 2.76 | 3.77 | 6.12 | 5.16 | 3.33 |
| 8 | 2.51 | 3.23 | 2.67 | 2.47 | 1.29 | 2.27 | 2.76 | 0.00 | 2.64 | 5.86 | 4.92 | 2.26 |
| 9 | 3.78 | 3.86 | 3.80 | 2.33 | 2.64 | 3.03 | 3.77 | 2.64 | 0.00 | 5.40 | 4.82 | 1.38 |
| 10 | 6.09 | 6.62 | 5.30 | 5.97 | 5.67 | 5.04 | 6.12 | 5.86 | 5.40 | 0.00 | 2.49 | 5.64 |
| 11 | 4.96 | 5.26 | 4.48 | 5.04 | 4.88 | 4.40 | 5.16 | 4.92 | 4.82 | 2.49 | 0.00 | 4.90 |
| 12 | 3.24 | 3.43 | 3.41 | 1.75 | 2.36 | 2.84 | 3.33 | 2.26 | 1.38 | 5.64 | 4.90 | 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 | 0.77 | 0.68 | 0.82 | 0.85 | 0.81 | 0.90 | 0.83 | 0.81 | 0.64 | 0.69 | 0.81 |
| 2 | 0.77 | 1.00 | 0.67 | 0.83 | 0.72 | 0.69 | 0.83 | 0.71 | 0.78 | 0.63 | 0.71 | 0.71 |
| 3 | 0.68 | 0.67 | 1.00 | 0.69 | 0.71 | 0.64 | 0.65 | 0.73 | 0.75 | 0.69 | 0.67 | 0.74 |
| 4 | 0.82 | 0.83 | 0.69 | 1.00 | 0.78 | 0.74 | 0.79 | 0.76 | 0.83 | 0.71 | 0.73 | 0.80 |
| 5 | 0.85 | 0.72 | 0.71 | 0.78 | 1.00 | 0.86 | 0.79 | 0.93 | 0.83 | 0.73 | 0.64 | 0.79 |
| 6 | 0.81 | 0.69 | 0.64 | 0.74 | 0.86 | 1.00 | 0.77 | 0.87 | 0.77 | 0.73 | 0.63 | 0.77 |
| 7 | 0.90 | 0.83 | 0.65 | 0.79 | 0.79 | 0.77 | 1.00 | 0.76 | 0.72 | 0.69 | 0.66 | 0.71 |
| 8 | 0.83 | 0.71 | 0.73 | 0.76 | 0.93 | 0.87 | 0.76 | 1.00 | 0.84 | 0.69 | 0.68 | 0.82 |
| 9 | 0.81 | 0.78 | 0.75 | 0.83 | 0.83 | 0.77 | 0.72 | 0.84 | 1.00 | 0.67 | 0.70 | 0.94 |
| 10 | 0.64 | 0.63 | 0.69 | 0.71 | 0.73 | 0.73 | 0.69 | 0.69 | 0.67 | 1.00 | 0.75 | 0.61 |
| 11 | 0.69 | 0.71 | 0.67 | 0.73 | 0.64 | 0.63 | 0.66 | 0.68 | 0.70 | 0.75 | 1.00 | 0.67 |
| 12 | 0.81 | 0.71 | 0.74 | 0.80 | 0.79 | 0.77 | 0.71 | 0.82 | 0.94 | 0.61 | 0.67 | 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