Difference between revisions of "Part:BBa K4365009:Design"

 
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===Source===
 
===Source===
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The sequences of the hydrophobic signal peptide was collected from literature <ref>Raymond J.St. Leger et al. (1992) Cloning and regulatory analysis of starvation-stress gene, ssgA, encoding a hydrophobin-like protein from the entomopathogenic fungus, Metarhizium anisopliae, Gene Volume 120, Issue 1, Pages 119-124</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://www.sciencedirect.com/science/article/pii/037811199290019L?via%3Dihub
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===References===
 
===References===

Latest revision as of 13:56, 12 October 2022


Signal peptide of SsgA from Metarhizium anisopliae


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 optimized 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. ↑ Raymond J.St. Leger et al. (1992) Cloning and regulatory analysis of starvation-stress gene, ssgA, encoding a hydrophobin-like protein from the entomopathogenic fungus, Metarhizium anisopliae, Gene Volume 120, Issue 1, Pages 119-124
  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