Difference between revisions of "Part:BBa K4814012"
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<partinfo>BBa_K4814012 short</partinfo> | <partinfo>BBa_K4814012 short</partinfo> | ||
| − | To | + | To improve the RecA (K3) - B0034 - EGFP bioreporter we designed to test RecA(K3) (BBa_K3020001) promoter, we replaced the RBS with B0032 and a new RBS invented by Zhang, M. et al (2022). The researchers developed a machine learning model to predict the translation initiation rate of different RBS sequences. Then, the designed sequences were synthesized and experimentally tested for their translation initiation rates. However, our results indicated that Strong RBS did not improve performance of the reporter. |
Sequence: TTTAAGAGGGGGCTATACAT | Sequence: TTTAAGAGGGGGCTATACAT | ||
Latest revision as of 09:57, 12 October 2023
Strong RBS
To improve the RecA (K3) - B0034 - EGFP bioreporter we designed to test RecA(K3) (BBa_K3020001) promoter, we replaced the RBS with B0032 and a new RBS invented by Zhang, M. et al (2022). The researchers developed a machine learning model to predict the translation initiation rate of different RBS sequences. Then, the designed sequences were synthesized and experimentally tested for their translation initiation rates. However, our results indicated that Strong RBS did not improve performance of the reporter. Sequence: TTTAAGAGGGGGCTATACAT
Click here for the experiment data: RecA(K3)-Strong-eGFP BBa_K4814013
References:
Zhang, M., Holowko, M. B., Zumpe, H. H., & Ong, C. S. (2022). Machine Learning Guided Batched Design of a Bacterial Ribosome Binding Site. ACS Synthetic Biology, 11(7), 2314-2326. https://doi.org/10.1021/acssynbio.2c00015
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]