Difference between revisions of "Part:BBa K4165055"
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<p>After settling on the linkers lengths, now we will proceed to the assembly step of the whole system which is done using TRrosetta, AlphaFold, RosettaFold, and Modeller.</p> | <p>After settling on the linkers lengths, now we will proceed to the assembly step of the whole system which is done using TRrosetta, AlphaFold, RosettaFold, and Modeller.</p> | ||
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− | <p>a<img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/switches/switch31/ | + | <p>a<img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/switches/switch31/tau-clamp.png" style="margin-left:50px;" alt="" width="150" /> b<img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/htra1-bp/h1b.jpg" style="margin-left:50px;" alt="" width="150" /> c<img src="https://static.igem.wiki/teams/4165/wiki/q8iub5-trrosetta-model3.png" style="margin-left:50px;" alt="" width="150" /></p> |
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− | Figure 4. a) | + | Figure 4. a) TD28rev_GGSGGGG_WWW clamp clamp b) HTRA Binding Peptide 1 c)WAP-four disulfide core domain 13 |
+ | serine protease inhibitor. | ||
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<p style=" font-weight: bold; font-size:14px;">11) Structure Assessment</p> | <p style=" font-weight: bold; font-size:14px;">11) Structure Assessment</p> | ||
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<p style=" font-weight: bold; font-size:14px;">13) Ranking</p> | <p style=" font-weight: bold; font-size:14px;">13) Ranking</p> | ||
<p>Using the code created by us (CU_Egypt 2022), we use the JSON files created from the structure assessment step in Swiss-Model to rank all the models For more information: <a href="https://2022.igem.wiki/cu-egypt/software.html"> Software</a> under the name of Abu Trika.</p> | <p>Using the code created by us (CU_Egypt 2022), we use the JSON files created from the structure assessment step in Swiss-Model to rank all the models For more information: <a href="https://2022.igem.wiki/cu-egypt/software.html"> Software</a> under the name of Abu Trika.</p> | ||
− | <p style=" font-weight: bold; font-size:14px;">Table 1. quality assessment parameters of switch | + | <p style=" font-weight: bold; font-size:14px;">Table 1. quality assessment parameters of switch 35.</p> |
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Revision as of 00:05, 14 October 2022
HtrA1 Switch 35
This composite part consists of T7 promoter (BBa_K3633015), lac operator (BBa_K4165062), pGS-21a RBS (BBa_K4165016), 6x His-tag (BBa_K4165020), H1A (BBa_K4165000), GS Linker (BBa_K4165068), TD28rev peptide (BBa_K4165006), GS Linker (BBa_K4165018), WWW peptide (BBa_K4165007), GS Linker (BBa_K4165068), WAP inhibitor (BBa_K4165008), and T7 terminator (BBa_K731721)
Usage and Biology
Switch 35 is used to mediate the activity of HTRA1. It is composed of 3 parts connected by different linkers; an HtrA1 PDZ peptide, a clamp of two targeting peptides for tau or amyloid beta, and a catalytic domain inhibitor. Activating HTRA1 requires a conformational change in the linker, eliminating the attached inhibitor from the active site. The conformational rearrangement can be mediated through the binding of affinity clamp to tau or beta-amyloid. This binding will result in a tension that detaches the inhibitor from the active site.
Sequence and Features
- 10COMPATIBLE WITH RFC[10]
- 12COMPATIBLE WITH RFC[12]
- 21COMPATIBLE WITH RFC[21]
- 23COMPATIBLE WITH RFC[23]
- 25INCOMPATIBLE WITH RFC[25]Illegal NgoMIV site found at 529
Illegal AgeI site found at 265 - 1000COMPATIBLE WITH RFC[1000]
Dry-lab Characterization
Figure 1. The 3D structure of switch 35 modelled by tRrosseta.
This switch was modeled by (Alphafold - Rosettafold - tRrosetta) and the top model was obtained from tRrosseta. the pipline for generating this model will be discussed in the next section in details
Switch construction Pipeline
Figure 2. A figure which dsecribes our Dry-Lab Modelling Pipeline. By team CU_Egypt 2022.
1) Modelling
Since our parts do not have experimentally acquired structures, we have to model them. This approach is done using both denovo modelling (ab initio) and template-based modelling. For modelling small peptides of our system, we used AppTest and Alphafold.
2) Structure Assessment
In order to assess the quality of our structures we used the Swiss-Model tool which gives an overall on quality of any 3D structure (For more information: Modelling.
3) Quality Assessment
Using the code created by us (CU_Egypt 2022), we use the JSON files created from the structure assessment step in Swiss-Model to rank all the models For more information: Software under the name of Modric.
4) Filtering
We take the top ranked models from the previous steps.
5) Docking
The top models of inhibitor and HTRA Binding Peptide are docked with HtrA1 (BBa_K4165004).
6) Ranking
The docking results are ranked according to their PRODIGY results. For more information: Docking.
7) Top Models
The results that came out from PRODIGY are ranked and top models are chosen to proceed with to the next step. For more information: Docking.
8) Alignment
Docked structures are aligned. This means that the HtrA1- binding peptide complex is aligned with the second complex which is the HtrA1-inhibitor complex to check whether they binded to the same site or not.
Figure 3. Aligned structures of HtrA1 binding peptide 1 docked to HtrA1 and inhibitor docked to HtrA1.
9) Linker length
The linker lengths are acquired by seeing the distance between the inhibitor and the HtrA1 binding peptide which is between both C terminals, N terminals, C- and N- terminal, and N- and C-terminals. The distance was measured to be between 13 and 25 angstrom
10) Assembly
After settling on the linkers lengths, now we will proceed to the assembly step of the whole system which is done using TRrosetta, AlphaFold, RosettaFold, and Modeller.
a b c
Figure 4. a) TD28rev_GGSGGGG_WWW clamp clamp b) HTRA Binding Peptide 1 c)WAP-four disulfide core domain 13 serine protease inhibitor.
11) Structure Assessment
In order to assess the quality of our structures we used the Swiss-Model tool which gives an overall on quality of any 3D structure (For more information: Modeling.
12) Quality Assessment
Using the code created by us (CU_Egypt 2022), we use the JSON files created from the structure assessment step in Swiss-Model to rank all the models For more information: Software under the name of Modric.
13) Ranking
Using the code created by us (CU_Egypt 2022), we use the JSON files created from the structure assessment step in Swiss-Model to rank all the models For more information: Software under the name of Abu Trika.
Table 1. quality assessment parameters of switch 35.
cbeta_deviations | clashscore | molprobity | ramachandran_favored | ramachandran_outliers | Qmean_4 | Qmean_6 |
---|---|---|---|---|---|---|
0 | 4.38 | 1.52 | 95.62 | 0.73 | -1.74094 | -2.3741 |