Difference between revisions of "Part:BBa K4365018:Design"

 
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===Source===
 
===Source===
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The sequences of the hydrophobic signal peptide was collected from literature <ref>M. G. Waters, E. A. Evans, G. Blobel (1988) Prepro-alpha-factor has a cleavable signal sequence, Journal of biological chemistry Volume 263, ISSUE 13, P6209-6214, https://doi.org/10.1016/S0021-9258(18)68773-3 </ref> and was extracted via analysis of their sequence using the SignalP - 5.0 signal peptide predictor tool <ref>José Juan Almagro Armenteros et al. (2019) SignalP 5.0 improves signal peptide predictions using deep neural networks Nature Biotechnology, 37, 420-423, doi: 10.1038/s41587-019-0036-z </ref>.
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Literature: https://link.springer.com/article/10.1007/s00253-011-3246-y
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===References===
 
===References===

Latest revision as of 14:18, 12 October 2022


Signal peptide of HFBII from Trichoderma reesei


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]


Design Notes

Codon optimised for yeast.


Source

The sequences of the hydrophobic signal peptide was collected from literature [1] and was extracted via analysis of their sequence using the SignalP - 5.0 signal peptide predictor tool [2].

References

  1. ↑ M. G. Waters, E. A. Evans, G. Blobel (1988) Prepro-alpha-factor has a cleavable signal sequence, Journal of biological chemistry Volume 263, ISSUE 13, P6209-6214, https://doi.org/10.1016/S0021-9258(18)68773-3
  2. ↑ José Juan Almagro Armenteros et al. (2019) SignalP 5.0 improves signal peptide predictions using deep neural networks Nature Biotechnology, 37, 420-423, doi: 10.1038/s41587-019-0036-z