Difference between revisions of "Homology Modelling GLA"
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=Calculation of Models= |
=Calculation of Models= |
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==MODELLER== |
==MODELLER== |
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+ | [[File:Fabry_disease_homology_modelling_modeller_combined.png|thumb|400px|right|Figure 2: Representation of the resulting models of MODELLER and the reference PDB structure [http://www.rcsb.org/pdb/explore/explore.do?pdbId=1r47 1R47]. The models are in superposition to the reference structure (green) and are shown in cartoon representation. (A) The model is based on the PDB structure 3HG3 (red). (B) The model is based on the PDB structure 1KTB (blue). (C) The model is based on the PDB structure 3CC1 (magenta).]] |
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MODELLER is a program to produce three-dimensional protein structures based on homology or comparative modelling. The user has to provide the sequence of the protein to be modeled and the structure and sequence of at least one related protein that is used as a template. MODELLER uses all atoms of the template protein, but the hydrogen-atoms. We used MODELLER as described in the tutorial [[Using Modeller for TASK 4]]. Therefor we had to align both sequences and convert them into pir-format. This alignment is given as input together with the template pdb-file. Unfortunately the input file has to be provided as python file. |
MODELLER is a program to produce three-dimensional protein structures based on homology or comparative modelling. The user has to provide the sequence of the protein to be modeled and the structure and sequence of at least one related protein that is used as a template. MODELLER uses all atoms of the template protein, but the hydrogen-atoms. We used MODELLER as described in the tutorial [[Using Modeller for TASK 4]]. Therefor we had to align both sequences and convert them into pir-format. This alignment is given as input together with the template pdb-file. Unfortunately the input file has to be provided as python file. |
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<ref name=modeller>http://salilab.org/modeller/</ref> |
<ref name=modeller>http://salilab.org/modeller/</ref> |
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===Pairwise Alignments=== |
===Pairwise Alignments=== |
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− | [[File:Fabry_disease_homology_modelling_modeller_combined.png|thumb|400px|right|Figure 2: Representation of the resulting models of MODELLER and the reference PDB structure [http://www.rcsb.org/pdb/explore/explore.do?pdbId=1r47 1R47]. The models are in superposition to the reference structure (green) and are shown in cartoon representation. (A) The model is based on the PDB structure 3HG3 (red). (B) The model is based on the PDB structure 1KTB (blue). (C) The model is based on the PDB structure 3CC1 (magenta).]] |
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In this section, we used a pairwise alignment between the template (i.e. 3HG3, 1KTB and 3CC1) and the target as the input for MODELLER. All three models fairly match the structure of 1R47 (see figure 2). The model of 3HG3 seems to be the best (see figure 2A), closely followed by the model of 1KTB (see figure 2B). The largest deviations in respect to the reference structure can be observed in the model of 3CC1 (see figure 2C), especially in the coil regions of the protein. |
In this section, we used a pairwise alignment between the template (i.e. 3HG3, 1KTB and 3CC1) and the target as the input for MODELLER. All three models fairly match the structure of 1R47 (see figure 2). The model of 3HG3 seems to be the best (see figure 2A), closely followed by the model of 1KTB (see figure 2B). The largest deviations in respect to the reference structure can be observed in the model of 3CC1 (see figure 2C), especially in the coil regions of the protein. |
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Revision as of 02:22, 16 June 2011
by Benjamin Drexler and Fabian Grandke
Introduction
In this task, we performed homology modelling of the protein α-galactosidase A with the programs MODELLER, SWISS-MODEL, iTasser and 3D-JIGSAW. Homology modelling relies on the following two assumptions. First, the structure of the protein is determined by its amino acid sequence. Second, the structure of a protein is more conserved than its amino acid sequence. Usually one performs homology modelling of a protein which structure is not known. In this case, we have several PDB structures of the α-galactosidase A available and hence we are able to evaluate the resulting models of the programs afterwards.
General
Template Selection
The following table lists the best ten hits of the HHpred search of Task 1. We used 3HG3 (97% identity), 1KTB (53%) and 3CC1 (34%) as templates for the modelling process. This selection covers a wide range of sequence identity and hence we are able to evaluate how the sequence identity influence the quality of the models.
PDB-ID | Name | Probability | E-value | P-value | Identity | Template |
---|---|---|---|---|---|---|
> 60% sequence identity | ||||||
3hg3_A | Alpha-galactosidase A | 1.0 | 0 | 0 | 97% | x |
> 40% sequence identity | ||||||
1ktb_A | Alpha-N-acetylgalactosaminidase | 1.0 | 0 | 0 | 53% | x |
< 40% sequence identity | ||||||
1uas_A | Alpha-galactosidase | 1.0 | 0 | 0 | 39% | |
3lrk_A | Alpha-galactosidase 1 | 1.0 | 0 | 0 | 32% | |
3a5v_A | Alpha-galactosidase | 1.0 | 0 | 0 | 35% | |
1szn_A | Alpha-galactosidase | 1.0 | 0 | 0 | 34% | |
3a21_A | Putative secreted alpha-galactosidase | 1.0 | 0 | 0 | 34% | |
3cc1_A | BH1870 protein | 1.0 | 0 | 0 | 26% | x |
3a24_A | Alpha-galactosidase | 1.0 | 0 | 0 | 14% | |
1zy9_A | Alpha-galactosidase | 1.0 | 2.2E-37 | 8.8E-42 | 14% |
Evaluation
The evaluation of the models consist of two parts, i.e. a visual comparison with an experimental structure and a numeric evaluation. The PDB structures 1R46 and 1R47 were used for the evaluation. 1R46 is a structure of human α-galactosidase A without galactose (apo) and the structure 1R47 contains galactose (complexed). Both, the visual comparison and the numeric evaluation, were ony done with the chain A of the structures, because the model programs also modelled one chain.
The differences between 1R46 and 1R47 are very marginal (see figure 1) and hence we did the visual comparison with one structure, i.e. 1R47.
The numeric evaluation involves the calculation of several scores.
RMSD
The root mean square deviation (RMSD) value between the model and the reference structure was calculated by the webserver of TM-align.
The calculation of the RMSD in the catalytic site was done by PyMol. We used the annotation of the UniProt entry to determine the active sites, which are Asp170 and Asp231. We applied the following workflow:
- Import the reference structure, e.g. 1R47
- Select the residues of the active site, i.e. Asp170 and Asp231
- Expand the selection with modify -> expand -> by 6A, residues
- Rename this selection to "selection_ref"
- Import the model
- Align the model to the reference structure (align -> to molecule -> 1R47)
- Select the residues of the active site of 1R47
- Expand the selection once again, but exclude residues of 1R47 (modify -> exluce -> object -> 1R47) afterwards
- Rename this selection to "selection_model"
- Align "selection_model" to "selection_ref" with align -> to selection and retrieve the RMSD
TM-Score
We also used the webserver of TM-align for the calculation of the TM-Score. At first, we used the command line TMS, but the values seemed to be wrong, i.e. way too low.
Calculation of Models
MODELLER
![](/wiki/images/thumb/2/26/Fabry_disease_homology_modelling_modeller_combined.png/400px-Fabry_disease_homology_modelling_modeller_combined.png)
MODELLER is a program to produce three-dimensional protein structures based on homology or comparative modelling. The user has to provide the sequence of the protein to be modeled and the structure and sequence of at least one related protein that is used as a template. MODELLER uses all atoms of the template protein, but the hydrogen-atoms. We used MODELLER as described in the tutorial Using Modeller for TASK 4. Therefor we had to align both sequences and convert them into pir-format. This alignment is given as input together with the template pdb-file. Unfortunately the input file has to be provided as python file. <ref name=modeller>http://salilab.org/modeller/</ref>
Pairwise Alignments
In this section, we used a pairwise alignment between the template (i.e. 3HG3, 1KTB and 3CC1) and the target as the input for MODELLER. All three models fairly match the structure of 1R47 (see figure 2). The model of 3HG3 seems to be the best (see figure 2A), closely followed by the model of 1KTB (see figure 2B). The largest deviations in respect to the reference structure can be observed in the model of 3CC1 (see figure 2C), especially in the coil regions of the protein.
The numeric evaluation confirms these observations. The differences of the RMSD values and the TM-Scores of the model by 3HG3 and 1KTB are very close in all columns. The results of 3CC1 suggest that the quality of the model is worse, but still very decent considering that a TM-Score above 0.5 indicates two structures with the same fold. In this case, it seems like that the difference of about 40% sequence identity between 3HG3 and 1KTB does not affect the quality of the model which is very interesting. In contrast the difference of 20% between 1KTB and 3CC1 leads to an quite observable loss in the quality of the model. It is also remarkable that the RMSD values of the catalytic site are lower than the overall RMSD value of 3HGH3 and 1KTB. So it seems like that their is an increase of the quality in the active site.
Apo (1R46) | Complexed (1R47) | |||||
---|---|---|---|---|---|---|
Template | TM-Score | RMSD | RMSD catalytic site | TM-Score | RMSD | RMSD catalytic site |
3HG3 | 0.97482 | 0.53 | 0.326 | 0.97468 | 0.53 | 0.366 |
1KTB | 0.95021 | 1.44 | 0.439 | 0.95064 | 1.43 | 0.437 |
3CC1 | 0.76780 | 3.26 | 3.436 | 0.76826 | 3.26 | 3.405 |
Multiple Sequence Alignments
Additionally to the pairwise approach we used a multiple alignment as template for the model. Therefor we created an alignment of the sequences, provided in the table below. Then we added the target sequence to the alignment and supervised it. The supervision showed, that the sequences aligned very well in general, but the sequences 3LRK_A and 3CC1_A. Thus, those were removed and the alignment was realigned. Both, the supervised and the unsupervised alignment have been used as input for MODELLER. The table below shows the used sequences. The green color indicates, that the sequence was contained in the MSA. The red color indicates the opposite.
PDB-ID | Unsupervised | Supervised | Identity | Comment |
---|---|---|---|---|
3LX9_A | 99% | |||
3GXP_A | 99% | |||
3H53_A | 99% | |||
3HG3_A | 97% | |||
3IGU_A | 54% | |||
1KTB_A | 53% | |||
1UAS_A | 39% | |||
3LRK_A | 34% | Was removed due to little sequence identity. Caused huge gaps in alignment. | ||
3CC1_A | 28% | Was removed due to little sequence identity. Caused huge gaps in alignment. |
iTasser
![](/wiki/images/thumb/0/08/GLA_Itasser.png/200px-GLA_Itasser.png)
Figure 1 shows, that iTasser takes an amino acid sequence as input and tries to retrieve template proteins from PDB. In the next step fragments from the the templates are reassembled to a complete model. In the last step, the model is reassembled by taking energy calculations into account. Additionally biological function prediction is done, but that was not of interest of this task.<ref name=itasser1>http://zhanglab.ccmb.med.umich.edu/I-TASSER/about.html</ref>
We used the iTasser-server in two different ways:
- Standard parameters: the protein sequence is given as input and the program searches PDB for templates. The found proteins are used to create a template to predict the structure.
- PDB-ID as input: together with the amino acid sequence a template PDB-ID is given as input. The program takes all available information into account and uses them to calculate the structure.
As the iTasser server has very low capacities and only one job commitment at the same time is possible, the results of the second way are not yet present. The standalone version is no option, because it has a size of about 10GB and it does not work properly.
SWISS-MODEL
![](/wiki/images/thumb/3/3e/Fabry_disease_homology_modelling_swissmodel_3hg3_combined.png/400px-Fabry_disease_homology_modelling_swissmodel_3hg3_combined.png)
![](/wiki/images/thumb/9/90/Fabry_disease_homology_modelling_swissmodel_1ktb_combined.png/400px-Fabry_disease_homology_modelling_swissmodel_1ktb_combined.png)
![](/wiki/images/thumb/9/90/Fabry_disease_homology_modelling_swissmodel_3cc1.png/200px-Fabry_disease_homology_modelling_swissmodel_3cc1.png)
We used the swissmodel server with two different options:
- Automated Mode: A template sequence is given as input. As no further information are given, the model is directly created from the amino acid sequence. This method should only be used, if the sequence identity between target and template is greater than 50%.
- Aligned Mode: A pairwise alignment of template and target sequence is given as input. We created our alignments using online ClustalW2 from EBI.
Template 3HG3
In this section, we deal with the model based on 3HG3 as the template. Both models, the aligned and the automated one, match close to perfect the reference structure (see figure 4). The numeric evaluation confirms these obversations. The TM-Score is close to 1 which indicates a very good model. The values also suggest that the two models are almost identical. Hence in this case, it does not make a difference whether the aligned or the automated mode was used.
Apo (1R46) | Complexed (1R47) | Independent | ||||||
---|---|---|---|---|---|---|---|---|
Mode | TM-Score | RMSD | RMSD catalytic site | TM-Score | RMSD | RMSD catalytic site | QMEAN Z-Score | QMEANscore4 |
Aligned | 0.98249 | 0.51 | 0.74 | 0.98242 | 0.51 | 0.290 | -0.415 | 0.74 |
Automated | 0.98249 | 0.51 | 0.277 | 0.98242 | 0.51 | 0.291 | -0.415 | 0.74 |
Template 1KTB
In contrast to the template 3HG3, there is a difference between the model of the automated and aligned mode obversable. The latter shows huge deviations in respect to the reference structure (see figure 5A), whereas the model of the automated mode matches the reference structure almost perfectly (see figure 5B). Even though there are differences to the reference structure by the model of the aligned mode, the TM-Score is very good. Nonetheless the TM-Score of the automated mode is even higher and even further the RMSD values are also better. The most remarkable thing is the extraordinary RMSD of the catlytic site in comparison to the overall result which indicates a bad quality of the model nearby the catalytic site. So in this case, the automated mode would be preferable.
Apo (1R46) | Complexed (1R47) | Independent | ||||||
---|---|---|---|---|---|---|---|---|
Mode | TM-Score | RMSD | RMSD catalytic site | TM-Score | RMSD | RMSD catalytic site | QMEAN Z-Score | QMEANscore4 |
Aligned | 0.94322 | 2.17 | 5.073 | 0.94397 | 2.15 | 6.409 | -12.996 | -0.022 |
Automated | 0.96996 | 1.22 | 0.417 | 0.97048 | 1.21 | 0.404 | -2.742 | 0.599 |
Template 3CC1
Unfortunately SWISS-MODEL was not able to perfom the automated modelling with 3CC1 as template due to the low sequence identity. We received the following message: building model based on 3cc1A (1-390) was not successfull go to next best template
Hence we are only able to evaluate the result of the aligned mode. In comparison to the results of the other two templates, the model of the 3CC1 template has the greatest differences to the reference structure (see figure 6). Nevertheless the TM-Score is still pretty decent. The RMSD values are overall the highest and just like in the model of the 1KTB template, the RMSD value of the catalytic site increases. It is clearly recognizable that the quality of the model suffers from the low sequence identity.
Apo (1R46) | Complexed (1R47) | Independent | ||||||
---|---|---|---|---|---|---|---|---|
Mode | TM-Score | RMSD | RMSD catalytic site | TM-Score | RMSD | RMSD catalytic site | QMEAN Z-Score | QMEANscore4 |
Aligned | 0.66789 | 3.47 | 7.107 | 0.66892 | 3.53 | 7.357 | -14.046 | -0.067 |
Automated | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
Discussion
- overall quality of the model is good -> the quality is even better nearby the catalytic site
- automated mode better than alignment mode (SWISS-MODEL)
References
<references />