| Project Name | LIMD2 |
| Project Name | LIMD2 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 235.5 | 133.8 | 127.6 | 115.6 | 86.4 | 77.2 | 73.7 | 73.5 | 70.8 | 56.9 | 55.5 | 52.8 |
| Cluster size | 359 | 223 | 233 | 204 | 148 | 144 | 140 | 115 | 134 | 110 | 92 | 98 |
| Average cluster RMSD | 1.5 | 1.7 | 1.8 | 1.8 | 1.7 | 1.9 | 1.9 | 1.6 | 1.9 | 1.9 | 1.7 | 1.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.18 | 5.23 | 3.77 | 3.93 | 4.83 | 4.46 | 4.24 | 5.50 | 4.35 | 3.75 | 4.21 | 4.32 |
| GDT_TS | 0.58 | 0.55 | 0.59 | 0.58 | 0.58 | 0.56 | 0.56 | 0.56 | 0.55 | 0.59 | 0.60 | 0.54 |
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 | 2.10 | 3.97 | 3.81 | 2.48 | 2.79 | 4.23 | 1.62 | 3.87 | 4.30 | 3.06 | 3.85 |
| 2 | 2.10 | 0.00 | 3.54 | 3.31 | 2.61 | 2.65 | 3.52 | 2.42 | 3.30 | 3.74 | 2.84 | 3.17 |
| 3 | 3.97 | 3.54 | 0.00 | 1.35 | 3.19 | 3.25 | 1.95 | 4.03 | 2.30 | 2.16 | 2.48 | 2.54 |
| 4 | 3.81 | 3.31 | 1.35 | 0.00 | 2.86 | 3.22 | 2.04 | 3.91 | 2.23 | 2.12 | 2.48 | 2.43 |
| 5 | 2.48 | 2.61 | 3.19 | 2.86 | 0.00 | 2.75 | 3.64 | 2.60 | 2.69 | 3.48 | 3.03 | 2.90 |
| 6 | 2.79 | 2.65 | 3.25 | 3.22 | 2.75 | 0.00 | 3.72 | 3.06 | 3.07 | 3.52 | 3.04 | 2.77 |
| 7 | 4.23 | 3.52 | 1.95 | 2.04 | 3.64 | 3.72 | 0.00 | 4.23 | 2.82 | 2.74 | 2.77 | 2.89 |
| 8 | 1.62 | 2.42 | 4.03 | 3.91 | 2.60 | 3.06 | 4.23 | 0.00 | 3.89 | 4.49 | 3.42 | 3.84 |
| 9 | 3.87 | 3.30 | 2.30 | 2.23 | 2.69 | 3.07 | 2.82 | 3.89 | 0.00 | 2.29 | 2.97 | 2.12 |
| 10 | 4.30 | 3.74 | 2.16 | 2.12 | 3.48 | 3.52 | 2.74 | 4.49 | 2.29 | 0.00 | 3.08 | 2.39 |
| 11 | 3.06 | 2.84 | 2.48 | 2.48 | 3.03 | 3.04 | 2.77 | 3.42 | 2.97 | 3.08 | 0.00 | 2.85 |
| 12 | 3.85 | 3.17 | 2.54 | 2.43 | 2.90 | 2.77 | 2.89 | 3.84 | 2.12 | 2.39 | 2.85 | 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 | 0.68 | 0.65 | 0.71 | 0.74 | 0.60 | 0.84 | 0.62 | 0.62 | 0.71 | 0.62 |
| 2 | 0.78 | 1.00 | 0.65 | 0.65 | 0.70 | 0.68 | 0.67 | 0.72 | 0.65 | 0.68 | 0.68 | 0.68 |
| 3 | 0.68 | 0.65 | 1.00 | 0.88 | 0.75 | 0.63 | 0.77 | 0.62 | 0.74 | 0.79 | 0.74 | 0.69 |
| 4 | 0.65 | 0.65 | 0.88 | 1.00 | 0.73 | 0.60 | 0.75 | 0.60 | 0.75 | 0.81 | 0.70 | 0.72 |
| 5 | 0.71 | 0.70 | 0.75 | 0.73 | 1.00 | 0.69 | 0.66 | 0.68 | 0.80 | 0.72 | 0.69 | 0.77 |
| 6 | 0.74 | 0.68 | 0.63 | 0.60 | 0.69 | 1.00 | 0.57 | 0.68 | 0.66 | 0.60 | 0.63 | 0.66 |
| 7 | 0.60 | 0.67 | 0.77 | 0.75 | 0.66 | 0.57 | 1.00 | 0.58 | 0.69 | 0.70 | 0.70 | 0.65 |
| 8 | 0.84 | 0.72 | 0.62 | 0.60 | 0.68 | 0.68 | 0.58 | 1.00 | 0.63 | 0.60 | 0.64 | 0.68 |
| 9 | 0.62 | 0.65 | 0.74 | 0.75 | 0.80 | 0.66 | 0.69 | 0.63 | 1.00 | 0.78 | 0.67 | 0.80 |
| 10 | 0.62 | 0.68 | 0.79 | 0.81 | 0.72 | 0.60 | 0.70 | 0.60 | 0.78 | 1.00 | 0.71 | 0.74 |
| 11 | 0.71 | 0.68 | 0.74 | 0.70 | 0.69 | 0.63 | 0.70 | 0.64 | 0.67 | 0.71 | 1.00 | 0.65 |
| 12 | 0.62 | 0.68 | 0.69 | 0.72 | 0.77 | 0.66 | 0.65 | 0.68 | 0.80 | 0.74 | 0.65 | 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