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Cited by 167

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Cell-free synthetic biology: Engineering in an open world

Open access
Lu, Yuan·2017·Synthetic and Systems Biotechnology

Abstract

Cell-free synthetic biology emerges as a powerful and flexible enabling technology that can engineer biological parts and systems for life science applications without using living cells. It provides simpler and faster engineering solutions with an unprecedented freedom of design in an open environment than cell system. This review focuses on recent developments of cell-free synthetic biology on biological engineering fields at molecular and cellular levels, including protein engineering, metabolic engineering, and artificial cell engineering. In cell-free protein engineering, the direct control of reaction conditions in cell-free system allows for easy synthesis of complex proteins, toxic proteins, membrane proteins, and novel proteins with unnatural amino acids. Cell-free systems offer the ability to design metabolic pathways towards the production of desired products. Buildup of artificial cells based on cell-free systems will improve our understanding of life and use them for environmental and biomedical applications.

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Metadata

Authors
Lu, Y.
Venue
Synthetic and Systems Biotechnology
Publisher
Elsevier BV
Published
2017-03
Volume
2
Issue
1
Pages
23-27
ISSN
  • 2097-1206 (ISSN-L)
  • 2405-805X
OpenAlex
W2593517473
Cited by
167
References
4
FWCI
5.63
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Cell-free synthetic biology: Engineering in an open world. https://app.cochat.ai/papers/10.1016/j.synbio.2017.02.003
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Lu, Y. (2017). Cell-free synthetic biology: Engineering in an open world. Synthetic and Systems Biotechnology. https://doi.org/10.1016/j.synbio.2017.02.003

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.