| Project Name | L137M |
| Project Name | L137M |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 142.5 | 97.5 | 92.6 | 70.0 | 64.3 | 62.6 | 54.5 | 43.1 | 39.7 | 39.5 | 35.6 | 33.5 |
| Cluster size | 312 | 228 | 236 | 204 | 200 | 198 | 153 | 83 | 128 | 70 | 104 | 84 |
| Average cluster RMSD | 2.2 | 2.3 | 2.5 | 2.9 | 3.1 | 3.2 | 2.8 | 1.9 | 3.2 | 1.8 | 2.9 | 2.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.76 | 5.55 | 6.41 | 6.40 | 6.76 | 5.43 | 7.39 | 8.46 | 7.70 | 5.24 | 4.38 | 4.43 |
| GDT_TS | 0.54 | 0.43 | 0.44 | 0.40 | 0.46 | 0.60 | 0.42 | 0.41 | 0.42 | 0.58 | 0.55 | 0.57 |
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 | 3.79 | 3.99 | 4.51 | 3.74 | 2.47 | 5.06 | 6.88 | 5.71 | 6.48 | 1.60 | 5.39 |
| 2 | 3.79 | 0.00 | 2.65 | 3.17 | 3.62 | 4.49 | 3.16 | 6.16 | 4.59 | 7.66 | 3.83 | 6.23 |
| 3 | 3.99 | 2.65 | 0.00 | 3.49 | 2.99 | 4.34 | 1.97 | 5.35 | 4.26 | 8.28 | 3.88 | 7.16 |
| 4 | 4.51 | 3.17 | 3.49 | 0.00 | 3.17 | 4.61 | 3.96 | 5.94 | 3.26 | 7.97 | 4.94 | 5.86 |
| 5 | 3.74 | 3.62 | 2.99 | 3.17 | 0.00 | 3.36 | 3.65 | 6.68 | 4.44 | 8.60 | 4.16 | 7.28 |
| 6 | 2.47 | 4.49 | 4.34 | 4.61 | 3.36 | 0.00 | 5.39 | 7.02 | 5.76 | 6.62 | 3.07 | 6.06 |
| 7 | 5.06 | 3.16 | 1.97 | 3.96 | 3.65 | 5.39 | 0.00 | 4.74 | 3.89 | 9.10 | 5.16 | 7.86 |
| 8 | 6.88 | 6.16 | 5.35 | 5.94 | 6.68 | 7.02 | 4.74 | 0.00 | 4.09 | 9.30 | 7.09 | 8.06 |
| 9 | 5.71 | 4.59 | 4.26 | 3.26 | 4.44 | 5.76 | 3.89 | 4.09 | 0.00 | 9.22 | 6.11 | 6.69 |
| 10 | 6.48 | 7.66 | 8.28 | 7.97 | 8.60 | 6.62 | 9.10 | 9.30 | 9.22 | 0.00 | 6.76 | 4.22 |
| 11 | 1.60 | 3.83 | 3.88 | 4.94 | 4.16 | 3.07 | 5.16 | 7.09 | 6.11 | 6.76 | 0.00 | 5.52 |
| 12 | 5.39 | 6.23 | 7.16 | 5.86 | 7.28 | 6.06 | 7.86 | 8.06 | 6.69 | 4.22 | 5.52 | 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 | 0.57 | 0.58 | 0.60 | 0.67 | 0.76 | 0.50 | 0.57 | 0.62 | 0.50 | 0.87 | 0.53 |
| 2 | 0.57 | 1.00 | 0.71 | 0.83 | 0.66 | 0.58 | 0.73 | 0.68 | 0.81 | 0.47 | 0.52 | 0.47 |
| 3 | 0.58 | 0.71 | 1.00 | 0.71 | 0.78 | 0.59 | 0.79 | 0.72 | 0.68 | 0.41 | 0.57 | 0.37 |
| 4 | 0.60 | 0.83 | 0.71 | 1.00 | 0.69 | 0.56 | 0.74 | 0.76 | 0.88 | 0.41 | 0.58 | 0.42 |
| 5 | 0.67 | 0.66 | 0.78 | 0.69 | 1.00 | 0.68 | 0.68 | 0.67 | 0.74 | 0.42 | 0.62 | 0.42 |
| 6 | 0.76 | 0.58 | 0.59 | 0.56 | 0.68 | 1.00 | 0.52 | 0.53 | 0.60 | 0.52 | 0.79 | 0.50 |
| 7 | 0.50 | 0.73 | 0.79 | 0.74 | 0.68 | 0.52 | 1.00 | 0.76 | 0.75 | 0.39 | 0.46 | 0.38 |
| 8 | 0.57 | 0.68 | 0.72 | 0.76 | 0.67 | 0.53 | 0.76 | 1.00 | 0.76 | 0.39 | 0.54 | 0.37 |
| 9 | 0.62 | 0.81 | 0.68 | 0.88 | 0.74 | 0.60 | 0.75 | 0.76 | 1.00 | 0.43 | 0.57 | 0.41 |
| 10 | 0.50 | 0.47 | 0.41 | 0.41 | 0.42 | 0.52 | 0.39 | 0.39 | 0.43 | 1.00 | 0.52 | 0.72 |
| 11 | 0.87 | 0.52 | 0.57 | 0.58 | 0.62 | 0.79 | 0.46 | 0.54 | 0.57 | 0.52 | 1.00 | 0.55 |
| 12 | 0.53 | 0.47 | 0.37 | 0.42 | 0.42 | 0.50 | 0.38 | 0.37 | 0.41 | 0.72 | 0.55 | 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