| Project Name | 130avMini |
| Project Name | 130avMini |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 176.3 | 173.8 | 167.3 | 157.5 | 149.5 | 145.0 | 141.8 | 125.7 | 98.6 | 79.4 | 75.6 | 44.4 |
| Cluster size | 229 | 238 | 225 | 234 | 149 | 191 | 149 | 159 | 118 | 148 | 110 | 50 |
| Average cluster RMSD | 1.3 | 1.4 | 1.3 | 1.5 | 1.0 | 1.3 | 1.1 | 1.3 | 1.2 | 1.9 | 1.5 | 1.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.96 | 3.20 | 3.39 | 3.66 | 3.71 | 3.27 | 3.74 | 4.26 | 3.97 | 3.55 | 3.63 | 4.33 |
| GDT_TS | 0.70 | 0.71 | 0.63 | 0.58 | 0.65 | 0.67 | 0.72 | 0.65 | 0.58 | 0.70 | 0.67 | 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 | 1.31 | 1.43 | 2.00 | 1.83 | 1.43 | 3.22 | 2.81 | 1.89 | 3.05 | 1.80 | 3.35 |
| 2 | 1.31 | 0.00 | 1.28 | 1.91 | 1.53 | 1.43 | 3.04 | 2.05 | 1.52 | 3.02 | 1.28 | 3.60 |
| 3 | 1.43 | 1.28 | 0.00 | 1.84 | 1.11 | 1.21 | 3.30 | 2.05 | 1.38 | 3.20 | 1.38 | 3.23 |
| 4 | 2.00 | 1.91 | 1.84 | 0.00 | 2.26 | 2.38 | 4.11 | 2.51 | 1.74 | 3.97 | 2.11 | 3.71 |
| 5 | 1.83 | 1.53 | 1.11 | 2.26 | 0.00 | 1.31 | 3.63 | 1.47 | 1.94 | 3.48 | 0.86 | 3.76 |
| 6 | 1.43 | 1.43 | 1.21 | 2.38 | 1.31 | 0.00 | 3.05 | 2.41 | 2.06 | 2.88 | 1.42 | 3.47 |
| 7 | 3.22 | 3.04 | 3.30 | 4.11 | 3.63 | 3.05 | 0.00 | 4.11 | 3.40 | 1.50 | 3.76 | 3.67 |
| 8 | 2.81 | 2.05 | 2.05 | 2.51 | 1.47 | 2.41 | 4.11 | 0.00 | 2.47 | 4.17 | 1.46 | 4.44 |
| 9 | 1.89 | 1.52 | 1.38 | 1.74 | 1.94 | 2.06 | 3.40 | 2.47 | 0.00 | 3.36 | 2.01 | 3.09 |
| 10 | 3.05 | 3.02 | 3.20 | 3.97 | 3.48 | 2.88 | 1.50 | 4.17 | 3.36 | 0.00 | 3.62 | 3.79 |
| 11 | 1.80 | 1.28 | 1.38 | 2.11 | 0.86 | 1.42 | 3.76 | 1.46 | 2.01 | 3.62 | 0.00 | 3.85 |
| 12 | 3.35 | 3.60 | 3.23 | 3.71 | 3.76 | 3.47 | 3.67 | 4.44 | 3.09 | 3.79 | 3.85 | 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 | 0.88 | 0.88 | 0.80 | 0.85 | 0.88 | 0.70 | 0.81 | 0.78 | 0.71 | 0.86 | 0.65 |
| 2 | 0.88 | 1.00 | 0.88 | 0.82 | 0.84 | 0.86 | 0.78 | 0.83 | 0.82 | 0.73 | 0.91 | 0.64 |
| 3 | 0.88 | 0.88 | 1.00 | 0.81 | 0.94 | 0.88 | 0.69 | 0.84 | 0.86 | 0.66 | 0.93 | 0.69 |
| 4 | 0.80 | 0.82 | 0.81 | 1.00 | 0.77 | 0.76 | 0.68 | 0.84 | 0.84 | 0.67 | 0.80 | 0.69 |
| 5 | 0.85 | 0.84 | 0.94 | 0.77 | 1.00 | 0.90 | 0.69 | 0.88 | 0.83 | 0.67 | 0.97 | 0.66 |
| 6 | 0.88 | 0.86 | 0.88 | 0.76 | 0.90 | 1.00 | 0.74 | 0.80 | 0.76 | 0.72 | 0.88 | 0.64 |
| 7 | 0.70 | 0.78 | 0.69 | 0.68 | 0.69 | 0.74 | 1.00 | 0.70 | 0.66 | 0.85 | 0.72 | 0.62 |
| 8 | 0.81 | 0.83 | 0.84 | 0.84 | 0.88 | 0.80 | 0.70 | 1.00 | 0.80 | 0.67 | 0.88 | 0.67 |
| 9 | 0.78 | 0.82 | 0.86 | 0.84 | 0.83 | 0.76 | 0.66 | 0.80 | 1.00 | 0.64 | 0.81 | 0.71 |
| 10 | 0.71 | 0.73 | 0.66 | 0.67 | 0.67 | 0.72 | 0.85 | 0.67 | 0.64 | 1.00 | 0.69 | 0.59 |
| 11 | 0.86 | 0.91 | 0.93 | 0.80 | 0.97 | 0.88 | 0.72 | 0.88 | 0.81 | 0.69 | 1.00 | 0.67 |
| 12 | 0.65 | 0.64 | 0.69 | 0.69 | 0.66 | 0.64 | 0.62 | 0.67 | 0.71 | 0.59 | 0.67 | 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