期刊
CURRENT OPINION IN BIOTECHNOLOGY
卷 69, 期 -, 页码 172-181出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.copbio.2021.01.008
关键词
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资金
- National Institutes of Health [GM124112, T32GM133366]
- Thomas Lord Distinguished Professorship Endowment
- NIH Pre-doctoral Biotechnology Traineeship [NIHT32 GM008776]
Natural products and their derivatives are important sources of chemical and biological diversity, and improving their biosynthetic pathways can increase yields and access to different derivatives, but this requires a precise understanding of enzymatic processes. Biosensors based on allosteric transcription factors can help overcome screening bottlenecks, enabling searches through large libraries of pathway/strain variants.
Natural products and their derivatives offer a rich source of chemical and biological diversity; however, traditional engineering of their biosynthetic pathways to improve yields and access to unnatural derivatives requires a precise understanding of their enzymatic processes. High-throughput screening platforms based on allosteric transcription-factor based biosensors can be leveraged to overcome the screening bottleneck to enable searching through large libraries of pathway/strain variants. Herein, the development and application of engineered allosteric transcription factor-based biosensors is described that enable optimization of precursor availability, product titers, and downstream product tailoring for advancing the natural product bioeconomy. We discuss recent successes for tailoring biosensor design, including computationally-based approaches, and present our future outlook with the integration of cell-free technologies and de novo protein design for rapidly generating biosensor tools.
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