| Project Name | lst-1 |
| Project Name | lst-1 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 162.5 | 146.2 | 131.1 | 119.1 | 111.6 | 107.3 | 92.9 | 90.1 | 84.4 | 70.6 | 69.4 | 69.1 |
| Cluster size | 259 | 240 | 214 | 194 | 172 | 164 | 143 | 146 | 131 | 108 | 118 | 111 |
| Average cluster RMSD | 1.6 | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.5 | 1.6 | 1.6 | 1.5 | 1.7 | 1.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.36 | 6.55 | 6.59 | 6.29 | 6.98 | 6.75 | 6.69 | 6.49 | 5.66 | 5.50 | 5.89 | 6.35 |
| GDT_TS | 0.46 | 0.47 | 0.46 | 0.47 | 0.45 | 0.43 | 0.46 | 0.45 | 0.52 | 0.48 | 0.50 | 0.46 |
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 | 2.77 | 2.57 | 2.80 | 2.57 | 2.60 | 2.70 | 2.80 | 3.16 | 3.36 | 3.45 | 3.37 |
| 2 | 2.77 | 0.00 | 2.65 | 2.91 | 2.56 | 2.93 | 2.70 | 2.42 | 3.00 | 3.44 | 3.38 | 3.06 |
| 3 | 2.57 | 2.65 | 0.00 | 3.11 | 2.40 | 2.62 | 2.19 | 2.78 | 3.54 | 3.88 | 3.71 | 3.04 |
| 4 | 2.80 | 2.91 | 3.11 | 0.00 | 3.35 | 3.32 | 3.26 | 3.09 | 2.58 | 2.85 | 2.79 | 3.43 |
| 5 | 2.57 | 2.56 | 2.40 | 3.35 | 0.00 | 2.51 | 2.37 | 2.91 | 3.63 | 4.09 | 3.96 | 3.52 |
| 6 | 2.60 | 2.93 | 2.62 | 3.32 | 2.51 | 0.00 | 2.62 | 2.91 | 3.66 | 3.94 | 3.88 | 3.35 |
| 7 | 2.70 | 2.70 | 2.19 | 3.26 | 2.37 | 2.62 | 0.00 | 2.64 | 3.58 | 3.83 | 3.85 | 3.17 |
| 8 | 2.80 | 2.42 | 2.78 | 3.09 | 2.91 | 2.91 | 2.64 | 0.00 | 3.33 | 3.61 | 3.75 | 2.69 |
| 9 | 3.16 | 3.00 | 3.54 | 2.58 | 3.63 | 3.66 | 3.58 | 3.33 | 0.00 | 2.52 | 2.61 | 3.74 |
| 10 | 3.36 | 3.44 | 3.88 | 2.85 | 4.09 | 3.94 | 3.83 | 3.61 | 2.52 | 0.00 | 2.75 | 3.73 |
| 11 | 3.45 | 3.38 | 3.71 | 2.79 | 3.96 | 3.88 | 3.85 | 3.75 | 2.61 | 2.75 | 0.00 | 4.02 |
| 12 | 3.37 | 3.06 | 3.04 | 3.43 | 3.52 | 3.35 | 3.17 | 2.69 | 3.74 | 3.73 | 4.02 | 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 | 0.64 | 0.66 | 0.66 | 0.69 | 0.70 | 0.64 | 0.63 | 0.63 | 0.64 | 0.62 | 0.60 |
| 2 | 0.64 | 1.00 | 0.67 | 0.62 | 0.72 | 0.63 | 0.67 | 0.71 | 0.64 | 0.62 | 0.58 | 0.64 |
| 3 | 0.66 | 0.67 | 1.00 | 0.60 | 0.69 | 0.66 | 0.76 | 0.67 | 0.59 | 0.59 | 0.58 | 0.65 |
| 4 | 0.66 | 0.62 | 0.60 | 1.00 | 0.62 | 0.62 | 0.59 | 0.62 | 0.70 | 0.68 | 0.66 | 0.58 |
| 5 | 0.69 | 0.72 | 0.69 | 0.62 | 1.00 | 0.68 | 0.71 | 0.69 | 0.61 | 0.61 | 0.57 | 0.62 |
| 6 | 0.70 | 0.63 | 0.66 | 0.62 | 0.68 | 1.00 | 0.67 | 0.65 | 0.58 | 0.59 | 0.60 | 0.62 |
| 7 | 0.64 | 0.67 | 0.76 | 0.59 | 0.71 | 0.67 | 1.00 | 0.70 | 0.58 | 0.57 | 0.57 | 0.65 |
| 8 | 0.63 | 0.71 | 0.67 | 0.62 | 0.69 | 0.65 | 0.70 | 1.00 | 0.59 | 0.57 | 0.55 | 0.69 |
| 9 | 0.63 | 0.64 | 0.59 | 0.70 | 0.61 | 0.58 | 0.58 | 0.59 | 1.00 | 0.71 | 0.68 | 0.57 |
| 10 | 0.64 | 0.62 | 0.59 | 0.68 | 0.61 | 0.59 | 0.57 | 0.57 | 0.71 | 1.00 | 0.67 | 0.56 |
| 11 | 0.62 | 0.58 | 0.58 | 0.66 | 0.57 | 0.60 | 0.57 | 0.55 | 0.68 | 0.67 | 1.00 | 0.56 |
| 12 | 0.60 | 0.64 | 0.65 | 0.58 | 0.62 | 0.62 | 0.65 | 0.69 | 0.57 | 0.56 | 0.56 | 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