| Project Name | CHEM361IndividualProjectCJL_Mutant56 |
| Project Name | CHEM361IndividualProjectCJL_Mutant56 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 138.1 | 119.5 | 101.9 | 69.9 | 67.3 | 60.6 | 53.3 | 50.5 | 50.3 | 33.6 | 25.2 | 24.5 |
| Cluster size | 326 | 209 | 290 | 181 | 156 | 183 | 135 | 141 | 148 | 71 | 73 | 87 |
| Average cluster RMSD | 2.4 | 1.7 | 2.8 | 2.6 | 2.3 | 3.0 | 2.5 | 2.8 | 2.9 | 2.1 | 2.9 | 3.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.06 | 4.62 | 3.31 | 5.60 | 6.52 | 4.84 | 3.44 | 4.95 | 4.00 | 7.39 | 6.00 | 7.13 |
| GDT_TS | 0.67 | 0.59 | 0.66 | 0.62 | 0.55 | 0.59 | 0.69 | 0.66 | 0.63 | 0.67 | 0.60 | 0.49 |
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 | 3.66 | 0.94 | 4.08 | 5.39 | 2.56 | 1.85 | 3.78 | 2.42 | 6.56 | 4.51 | 6.18 |
| 2 | 3.66 | 0.00 | 4.06 | 6.41 | 7.18 | 3.80 | 4.61 | 4.85 | 4.21 | 8.15 | 6.30 | 8.06 |
| 3 | 0.94 | 4.06 | 0.00 | 3.88 | 5.18 | 2.61 | 1.92 | 4.05 | 2.63 | 6.33 | 4.53 | 5.87 |
| 4 | 4.08 | 6.41 | 3.88 | 0.00 | 2.31 | 4.11 | 3.63 | 4.94 | 4.10 | 5.61 | 3.69 | 3.18 |
| 5 | 5.39 | 7.18 | 5.18 | 2.31 | 0.00 | 4.97 | 5.07 | 5.92 | 5.24 | 5.63 | 4.24 | 2.48 |
| 6 | 2.56 | 3.80 | 2.61 | 4.11 | 4.97 | 0.00 | 3.10 | 3.53 | 2.97 | 5.91 | 3.83 | 5.43 |
| 7 | 1.85 | 4.61 | 1.92 | 3.63 | 5.07 | 3.10 | 0.00 | 4.55 | 3.04 | 6.84 | 4.97 | 6.13 |
| 8 | 3.78 | 4.85 | 4.05 | 4.94 | 5.92 | 3.53 | 4.55 | 0.00 | 2.45 | 6.14 | 2.71 | 6.10 |
| 9 | 2.42 | 4.21 | 2.63 | 4.10 | 5.24 | 2.97 | 3.04 | 2.45 | 0.00 | 6.66 | 3.48 | 6.14 |
| 10 | 6.56 | 8.15 | 6.33 | 5.61 | 5.63 | 5.91 | 6.84 | 6.14 | 6.66 | 0.00 | 4.77 | 4.83 |
| 11 | 4.51 | 6.30 | 4.53 | 3.69 | 4.24 | 3.83 | 4.97 | 2.71 | 3.48 | 4.77 | 0.00 | 4.00 |
| 12 | 6.18 | 8.06 | 5.87 | 3.18 | 2.48 | 5.43 | 6.13 | 6.10 | 6.14 | 4.83 | 4.00 | 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 | 0.69 | 0.95 | 0.74 | 0.70 | 0.81 | 0.86 | 0.83 | 0.84 | 0.69 | 0.75 | 0.64 |
| 2 | 0.69 | 1.00 | 0.65 | 0.51 | 0.56 | 0.69 | 0.59 | 0.58 | 0.61 | 0.59 | 0.49 | 0.56 |
| 3 | 0.95 | 0.65 | 1.00 | 0.74 | 0.69 | 0.82 | 0.86 | 0.85 | 0.82 | 0.69 | 0.75 | 0.64 |
| 4 | 0.74 | 0.51 | 0.74 | 1.00 | 0.81 | 0.64 | 0.75 | 0.74 | 0.75 | 0.67 | 0.86 | 0.76 |
| 5 | 0.70 | 0.56 | 0.69 | 0.81 | 1.00 | 0.65 | 0.67 | 0.66 | 0.72 | 0.67 | 0.75 | 0.88 |
| 6 | 0.81 | 0.69 | 0.82 | 0.64 | 0.65 | 1.00 | 0.78 | 0.78 | 0.83 | 0.67 | 0.71 | 0.65 |
| 7 | 0.86 | 0.59 | 0.86 | 0.75 | 0.67 | 0.78 | 1.00 | 0.91 | 0.89 | 0.75 | 0.77 | 0.60 |
| 8 | 0.83 | 0.58 | 0.85 | 0.74 | 0.66 | 0.78 | 0.91 | 1.00 | 0.87 | 0.76 | 0.76 | 0.63 |
| 9 | 0.84 | 0.61 | 0.82 | 0.75 | 0.72 | 0.83 | 0.89 | 0.87 | 1.00 | 0.73 | 0.79 | 0.65 |
| 10 | 0.69 | 0.59 | 0.69 | 0.67 | 0.67 | 0.67 | 0.75 | 0.76 | 0.73 | 1.00 | 0.68 | 0.59 |
| 11 | 0.75 | 0.49 | 0.75 | 0.86 | 0.75 | 0.71 | 0.77 | 0.76 | 0.79 | 0.68 | 1.00 | 0.71 |
| 12 | 0.64 | 0.56 | 0.64 | 0.76 | 0.88 | 0.65 | 0.60 | 0.63 | 0.65 | 0.59 | 0.71 | 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