Task 5 (MSUD)
Contents
Results
Modeller
Single template modelling
Following structures were used as template:
| PDB Id | Sequence Identity (to 1U5B) |
| 2BFE |
99% |
| 3EXG |
24.9% |
- Computed models aligned to the structures of BCKDHA (1U5B)
Comparison of original structure(1U5B, in green) and modeled structure(in red) of BCKDHA. RMSD computed by PyMol is 0.784 Â. Template structure is 2BFE.
Comparison of original structure(1U5B, in green) and modeled structure(in red) of BCKDHA. RMSD computed by PyMol is 1.590 Â. Template structure is 3EXG.
Multiple template modelling
Swissmodel
In the output of Swissmodel, almost all scores reported are 0 or not shown, probably due to an error in the program. The only score reported is the Anolea (atomic empirical mean force potential), which measures if the amino acids are in a favorable energy environment.
High sequence identity template
The following diagram shows the Anolea for the model build with 2BFE as template.
Almost all residues are in a favorable energy environment (negative Anolea values) and only some small parts of the protein structure are in an unfavorable one (positive values).
Low sequence identity template
Anolea for the model build with 3EXG as template:
Only a small percentage of the residues is in a favorable energy environment, but most parts of the protein are unfavorable.
iTasser
For the five alternative models that are predicted by iTasser, the C-scores are shown in the following table. The C-score is a confidence score that ranges from -5 to 2. A higher (less negative) score indicates a better quality of the model.
| template | model1 | model2 | model3 | model4 | model5 |
|---|---|---|---|---|---|
| 2BFE | -0.83 | -1.25 | -2.12 | -2.36 | -1.98 |
| 3EXG | -1.86 | -2.02 | -2.43 | -2.49 | -2.97 |
The models build with the high sequence identity template have a better average quality than those build with the low sequence identity template. But also the quality of models build with the same template deviate a lot from each other.
Evaluation of models
To compare the calculated models to the reference structure 1U5B, we report RMSD and GDT_TS. The score GDT_TS combines GDT (global distance test) values calculated with several distance cutoffs.
High sequence identity template
| Modeller | Swissmodel | iTasser, model1 | iTasser, model2 | iTasser, model3 | iTasser, model4 | iTasser, model5 | |
|---|---|---|---|---|---|---|---|
| GDT_TS | 96.0 | 89.1 | 95.5 | 88.5 | 94.9 | 96.9 | |
| RMSD | 1.7 | 2.9 | 1.0 | 3.1 | 1.5 | 0.8 |
Low sequence identity template
| Modeller | Swissmodel | iTasser, model1 | iTasser, model2 | iTasser, model3 | iTasser, model4 | iTasser, model5 | |
|---|---|---|---|---|---|---|---|
| GDT_TS | 61.7 | 68.4 | 66.0 | 66.6 | 69.0 | 69.1 | |
| RMSD | 9.7 | 14.5 | 13.9 | 14.0 | 15.4 | 15.4 |
Discussion
- RMSD is higher for models calculated from the low sequence identity template, indicating a higher mean distance to the reference. The GDT_TS score is higher for the models from high sequence identity template, meaning a higher percentage of residues are below some distance thresholds.
- Generally, the GDT_TS score is better for measuring the quality of a model, because it can take into account, if a part of the structure is fitting the reference very good. The RMSD measures a global distance and will be very high if only a part of the structure is similar and the other part doesn't fit.
- The Anolea score of Swissmodel, which measures the packing quality of residues in the model, correlates with RMSD and GDT_TS. So its gives a good indication of the quality of the model.
- The average iTasser C-scores of the models with higher quality (those build with the high sequence identity template) are higher than C-scores of low quality models. But between alternative models, which were build with the same template, we can't identify any correlation to RMSD or GDT_TS. So it is not clear, if this score really gives a good estimation of the confidence of the model, especially for deciding between different models.
- If GDT_TS is taken as quality measure, iTasser gives better models compared to Swissmodel for a template with low sequence identity. But it has to be noted, that iTasser has a far higher running time than Swissmodel.
