Difference between revisions of "Part:BBa K4165197"
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===Dry lab===
 
===Dry lab===
 
<p style=" font-weight: bold; font-size:14px;"> Modeling </p>   
 
<p style=" font-weight: bold; font-size:14px;"> Modeling </p>   
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Due to the nonavailability of a model to this peptide we modeled it in our used modeling software's and after the Running of the quality assessment, the models have been scored to get the top model.
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The peptide was modeled by several software (Alphafold - Apptest - Pepfold) and the best model was obtained from Apptest.
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<html>
 
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<p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/ab-36-42-model.png" style="margin-left:200px;" alt="" width="500" /></p>
 
<p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/ab-36-42-model.png" style="margin-left:200px;" alt="" width="500" /></p>
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                                 Figure 1.: Amyloid-beta (36-42) top model visualized by Pymol.
 
                                 Figure 1.: Amyloid-beta (36-42) top model visualized by Pymol.
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===References===
 
===References===

Revision as of 20:03, 11 October 2022


Amyloid beta peptide 17 (Aβ 36-42)

This part encodes a part of the Amyloid 𝛽 fragment (36-42) which has the ability to bind to A𝛽 plaques inside the brain.


Usage and Biology

Segments of amyloid beta fibrils are widely used as a recognition sequence for amyloid beta plaques inside the brain, this is due to the homotypic interactions in the C-terminus of fibrils. This peptide starts from amino acid 36 to 42 of the fibril.

Sequence and Features


Assembly Compatibility:
  • 10
    COMPATIBLE WITH RFC[10]
  • 12
    COMPATIBLE WITH RFC[12]
  • 21
    COMPATIBLE WITH RFC[21]
  • 23
    COMPATIBLE WITH RFC[23]
  • 25
    COMPATIBLE WITH RFC[25]
  • 1000
    COMPATIBLE WITH RFC[1000]


Dry lab

Modeling

The peptide was modeled by several software (Alphafold - Apptest - Pepfold) and the best model was obtained from Apptest. 

                               Figure 1.: Amyloid-beta (36-42) top model visualized by Pymol.

References

1- Zhao, Y., Cai, J., Liu, Z., Li, Y., Zheng, C., Zheng, Y., ... & Liu, Y. (2018). Nanocomposites inhibit the formation, mitigate the neurotoxicity, and facilitate the removal of β-amyloid aggregates in Alzheimer’s disease mice. Nano letters, 19(2), 674-683.