| Project Name | V143L |
| Project Name | V143L |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 128.0 | 106.9 | 94.2 | 86.8 | 67.0 | 66.3 | 57.2 | 53.5 | 51.6 | 49.0 | 46.5 | 35.4 |
| Cluster size | 251 | 257 | 180 | 204 | 170 | 185 | 136 | 159 | 112 | 105 | 128 | 113 |
| Average cluster RMSD | 2.0 | 2.4 | 1.9 | 2.4 | 2.5 | 2.8 | 2.4 | 3.0 | 2.2 | 2.1 | 2.8 | 3.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 10.30 | 10.80 | 6.23 | 9.60 | 7.15 | 10.30 | 8.54 | 7.44 | 12.40 | 12.30 | 9.86 | 7.98 |
| GDT_TS | 0.53 | 0.54 | 0.54 | 0.51 | 0.60 | 0.53 | 0.49 | 0.47 | 0.50 | 0.50 | 0.55 | 0.53 |
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 | 1.77 | 7.82 | 3.46 | 4.91 | 4.00 | 8.80 | 8.60 | 4.51 | 6.30 | 4.87 | 5.99 |
| 2 | 1.77 | 0.00 | 8.58 | 3.50 | 5.43 | 3.65 | 9.36 | 9.30 | 3.84 | 5.88 | 4.75 | 6.63 |
| 3 | 7.82 | 8.58 | 0.00 | 7.74 | 4.85 | 8.23 | 5.19 | 3.98 | 10.30 | 10.40 | 7.44 | 5.00 |
| 4 | 3.46 | 3.50 | 7.74 | 0.00 | 4.34 | 2.66 | 9.02 | 9.02 | 4.90 | 6.45 | 4.05 | 5.51 |
| 5 | 4.91 | 5.43 | 4.85 | 4.34 | 0.00 | 4.81 | 6.80 | 6.33 | 7.10 | 7.83 | 4.63 | 3.19 |
| 6 | 4.00 | 3.65 | 8.23 | 2.66 | 4.81 | 0.00 | 8.99 | 9.21 | 3.50 | 4.90 | 2.86 | 5.71 |
| 7 | 8.80 | 9.36 | 5.19 | 9.02 | 6.80 | 8.99 | 0.00 | 2.49 | 10.70 | 9.37 | 7.90 | 5.34 |
| 8 | 8.60 | 9.30 | 3.98 | 9.02 | 6.33 | 9.21 | 2.49 | 0.00 | 11.10 | 10.20 | 8.25 | 5.42 |
| 9 | 4.51 | 3.84 | 10.30 | 4.90 | 7.10 | 3.50 | 10.70 | 11.10 | 0.00 | 4.00 | 4.54 | 8.01 |
| 10 | 6.30 | 5.88 | 10.40 | 6.45 | 7.83 | 4.90 | 9.37 | 10.20 | 4.00 | 0.00 | 5.21 | 7.95 |
| 11 | 4.87 | 4.75 | 7.44 | 4.05 | 4.63 | 2.86 | 7.90 | 8.25 | 4.54 | 5.21 | 0.00 | 5.10 |
| 12 | 5.99 | 6.63 | 5.00 | 5.51 | 3.19 | 5.71 | 5.34 | 5.42 | 8.01 | 7.95 | 5.10 | 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 | 0.82 | 0.45 | 0.64 | 0.60 | 0.65 | 0.45 | 0.43 | 0.76 | 0.64 | 0.61 | 0.58 |
| 2 | 0.82 | 1.00 | 0.46 | 0.71 | 0.54 | 0.70 | 0.45 | 0.43 | 0.75 | 0.67 | 0.66 | 0.53 |
| 3 | 0.45 | 0.46 | 1.00 | 0.43 | 0.55 | 0.44 | 0.64 | 0.67 | 0.44 | 0.44 | 0.47 | 0.50 |
| 4 | 0.64 | 0.71 | 0.43 | 1.00 | 0.57 | 0.85 | 0.42 | 0.39 | 0.62 | 0.67 | 0.67 | 0.52 |
| 5 | 0.60 | 0.54 | 0.55 | 0.57 | 1.00 | 0.58 | 0.57 | 0.51 | 0.52 | 0.58 | 0.66 | 0.79 |
| 6 | 0.65 | 0.70 | 0.44 | 0.85 | 0.58 | 1.00 | 0.43 | 0.41 | 0.65 | 0.72 | 0.73 | 0.56 |
| 7 | 0.45 | 0.45 | 0.64 | 0.42 | 0.57 | 0.43 | 1.00 | 0.80 | 0.44 | 0.46 | 0.47 | 0.56 |
| 8 | 0.43 | 0.43 | 0.67 | 0.39 | 0.51 | 0.41 | 0.80 | 1.00 | 0.43 | 0.43 | 0.43 | 0.54 |
| 9 | 0.76 | 0.75 | 0.44 | 0.62 | 0.52 | 0.65 | 0.44 | 0.43 | 1.00 | 0.72 | 0.61 | 0.52 |
| 10 | 0.64 | 0.67 | 0.44 | 0.67 | 0.58 | 0.72 | 0.46 | 0.43 | 0.72 | 1.00 | 0.59 | 0.54 |
| 11 | 0.61 | 0.66 | 0.47 | 0.67 | 0.66 | 0.73 | 0.47 | 0.43 | 0.61 | 0.59 | 1.00 | 0.62 |
| 12 | 0.58 | 0.53 | 0.50 | 0.52 | 0.79 | 0.56 | 0.56 | 0.54 | 0.52 | 0.54 | 0.62 | 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