Difference between revisions of "Part:BBa K4365006:Design"
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===Source=== | ===Source=== | ||
| − | + | The sequences of the hydrophobic signal peptide was collected from literature <ref>N J Talbot, D J Ebbole, J E Hamer (1993) Identification and characterization of MPG1, a gene involved in pathogenicity from the rice blast fungus Magnaporthe grisea, The Plant Cell, Volume 5, Issue 11, Pages 1575–1590, https://doi.org/10.1105/tpc.5.11.1575</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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===References=== | ===References=== | ||
Latest revision as of 13:53, 12 October 2022
Signal peptide of MPGI from Magnaporthe grisea
Assembly Compatibility:
- 10COMPATIBLE WITH RFC[10]
- 12COMPATIBLE WITH RFC[12]
- 21COMPATIBLE WITH RFC[21]
- 23COMPATIBLE WITH RFC[23]
- 25COMPATIBLE WITH RFC[25]
- 1000COMPATIBLE WITH RFC[1000]
Design Notes
Codon-optimized for S. cerevisiae using the codon optimization tool on GenScript.
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
- ↑ N J Talbot, D J Ebbole, J E Hamer (1993) Identification and characterization of MPG1, a gene involved in pathogenicity from the rice blast fungus Magnaporthe grisea, The Plant Cell, Volume 5, Issue 11, Pages 1575–1590, https://doi.org/10.1105/tpc.5.11.1575
- ↑ 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