Difference between revisions of "Part:BBa K3926002"
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Construction of improved PyeaR | Construction of improved PyeaR | ||
| − | <br>Based on the original sequence, we designed and predicted three mutation sequences that can increase the intensity of the promoter by using our machine learning model. By modifying the PCR primers, we successfully obtained the | + | <br>Based on the original sequence, we designed and predicted three mutation sequences that can increase the intensity of the promoter by using our machine learning model. By modifying the PCR primers, we successfully obtained the mutated PyeaR promoters. Through homologous recombination, we replaced the wild-type promoter with the improved promoter.<br><br> |
Revision as of 11:41, 20 October 2021
An improved PyeaR with higher expression strength
We use machine learning model to design this promoter.
Sequence and Features
- 10COMPATIBLE WITH RFC[10]
- 12COMPATIBLE WITH RFC[12]
- 21COMPATIBLE WITH RFC[21]
- 23COMPATIBLE WITH RFC[23]
- 25COMPATIBLE WITH RFC[25]
- 1000COMPATIBLE WITH RFC[1000]
Introduction
We improved part: BBa_K216005 (PyeaR promoter), which is the promoter of the Escherichia coli yeaR/yoaG operon. The most remarkable feature of this promoter is its ability to sense nitrate and nitrite. In order to better regulate the response of the promoter to nitrate, we use machine learning models to predict and design new PyeaR sequences. Compared to the original sequence, five or six bases have been changed.
Construction of improved PyeaR
Based on the original sequence, we designed and predicted three mutation sequences that can increase the intensity of the promoter by using our machine learning model. By modifying the PCR primers, we successfully obtained the mutated PyeaR promoters. Through homologous recombination, we replaced the wild-type promoter with the improved promoter.