Table 3.
Model | C-score | Exp.TM- Score | Exp.RMSD | No.of decoys | Cluster density |
---|---|---|---|---|---|
Including PDB:2MJ2
| |||||
1 | 1.25 | 0.56 ± 0.15 | 5.8 ± 3.6 | 4959 | 0.1444 |
2 | 2.25 | 1756 | 0.0532 | ||
3 | 4.43 | 262 | 0.0060 | ||
4 | 5.00 | 118 | 0.0029 | ||
5 | 5.00 | 108 | 0.0029 | ||
Excluding PDB: 2MJ2
| |||||
1 | −2.75 | 0.40 ± 0.13 | 9.1 ± 4.6 | 4801 | 0.1125 |
2 | −3.05 | 2856 | 0.0835 | ||
3 | −2.99 | 3050 | 0.0888 | ||
4 | −5.00 | 401 | 0.0106 | ||
5 | −5.00 | 52 | 0.0027 |
C-score: A confidence score for estimating the quality of predicted models by I-TASSER. TM-score and RMSD: Both are known standards for measuring structural similarity between two structures which are usually used to measure the accuracy of structure modeling when the native structure is known. For each target, I-TASSER simulations generate tens of thousands conformations called decoys. To select the final models, I-TASSER uses SPICKER program to cluster all the decoys based on the pair-wise structure similarity, and report up to five models which corresponds to the five largest structure clusters (http://zhanglab.ccmb.med.umich.edu/I-TASSER/FAQ.html).