| Project Name | V143L |
| Project Name | V143L |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 127.1 | 97.6 | 78.3 | 74.0 | 59.4 | 54.9 | 47.2 | 43.0 | 41.7 | 37.4 | 33.6 | 28.7 |
| Cluster size | 326 | 213 | 216 | 126 | 187 | 160 | 160 | 145 | 155 | 140 | 110 | 62 |
| Average cluster RMSD | 2.6 | 2.2 | 2.8 | 1.7 | 3.1 | 2.9 | 3.4 | 3.4 | 3.7 | 3.7 | 3.3 | 2.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.42 | 3.20 | 4.88 | 6.54 | 2.49 | 5.03 | 4.59 | 6.79 | 4.63 | 5.81 | 3.36 | 8.12 |
| GDT_TS | 0.74 | 0.65 | 0.57 | 0.52 | 0.76 | 0.53 | 0.64 | 0.64 | 0.64 | 0.53 | 0.65 | 0.47 |
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 | 1.95 | 4.66 | 6.75 | 1.97 | 5.05 | 3.97 | 6.14 | 3.82 | 5.28 | 2.75 | 7.73 |
| 2 | 1.95 | 0.00 | 4.21 | 6.30 | 2.73 | 4.85 | 4.54 | 6.40 | 4.33 | 5.10 | 2.62 | 7.62 |
| 3 | 4.66 | 4.21 | 0.00 | 4.41 | 5.21 | 2.54 | 4.45 | 5.92 | 4.60 | 2.21 | 3.60 | 6.09 |
| 4 | 6.75 | 6.30 | 4.41 | 0.00 | 6.68 | 4.41 | 6.87 | 7.12 | 6.51 | 4.39 | 5.56 | 3.32 |
| 5 | 1.97 | 2.73 | 5.21 | 6.68 | 0.00 | 4.96 | 4.07 | 6.02 | 3.97 | 5.98 | 3.65 | 7.73 |
| 6 | 5.05 | 4.85 | 2.54 | 4.41 | 4.96 | 0.00 | 4.69 | 5.63 | 4.76 | 2.59 | 3.98 | 6.03 |
| 7 | 3.97 | 4.54 | 4.45 | 6.87 | 4.07 | 4.69 | 0.00 | 3.30 | 1.09 | 4.76 | 4.62 | 6.91 |
| 8 | 6.14 | 6.40 | 5.92 | 7.12 | 6.02 | 5.63 | 3.30 | 0.00 | 3.52 | 5.59 | 6.56 | 7.05 |
| 9 | 3.82 | 4.33 | 4.60 | 6.51 | 3.97 | 4.76 | 1.09 | 3.52 | 0.00 | 4.91 | 4.45 | 6.57 |
| 10 | 5.28 | 5.10 | 2.21 | 4.39 | 5.98 | 2.59 | 4.76 | 5.59 | 4.91 | 0.00 | 4.58 | 5.11 |
| 11 | 2.75 | 2.62 | 3.60 | 5.56 | 3.65 | 3.98 | 4.62 | 6.56 | 4.45 | 4.58 | 0.00 | 7.43 |
| 12 | 7.73 | 7.62 | 6.09 | 3.32 | 7.73 | 6.03 | 6.91 | 7.05 | 6.57 | 5.11 | 7.43 | 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 | 0.55 | 0.49 | 0.84 | 0.57 | 0.71 | 0.67 | 0.68 | 0.53 | 0.79 | 0.45 |
| 2 | 0.77 | 1.00 | 0.57 | 0.45 | 0.77 | 0.60 | 0.64 | 0.57 | 0.67 | 0.56 | 0.73 | 0.46 |
| 3 | 0.55 | 0.57 | 1.00 | 0.71 | 0.56 | 0.89 | 0.61 | 0.64 | 0.56 | 0.89 | 0.63 | 0.66 |
| 4 | 0.49 | 0.45 | 0.71 | 1.00 | 0.47 | 0.67 | 0.53 | 0.59 | 0.51 | 0.69 | 0.51 | 0.83 |
| 5 | 0.84 | 0.77 | 0.56 | 0.47 | 1.00 | 0.57 | 0.66 | 0.66 | 0.67 | 0.53 | 0.73 | 0.47 |
| 6 | 0.57 | 0.60 | 0.89 | 0.67 | 0.57 | 1.00 | 0.65 | 0.67 | 0.59 | 0.83 | 0.63 | 0.63 |
| 7 | 0.71 | 0.64 | 0.61 | 0.53 | 0.66 | 0.65 | 1.00 | 0.82 | 0.92 | 0.57 | 0.72 | 0.49 |
| 8 | 0.67 | 0.57 | 0.64 | 0.59 | 0.66 | 0.67 | 0.82 | 1.00 | 0.77 | 0.61 | 0.67 | 0.56 |
| 9 | 0.68 | 0.67 | 0.56 | 0.51 | 0.67 | 0.59 | 0.92 | 0.77 | 1.00 | 0.54 | 0.74 | 0.47 |
| 10 | 0.53 | 0.56 | 0.89 | 0.69 | 0.53 | 0.83 | 0.57 | 0.61 | 0.54 | 1.00 | 0.62 | 0.69 |
| 11 | 0.79 | 0.73 | 0.63 | 0.51 | 0.73 | 0.63 | 0.72 | 0.67 | 0.74 | 0.62 | 1.00 | 0.44 |
| 12 | 0.45 | 0.46 | 0.66 | 0.83 | 0.47 | 0.63 | 0.49 | 0.56 | 0.47 | 0.69 | 0.44 | 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