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Cited by 412

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Expanding metabolism for biosynthesis of nonnatural alcohols

Open access
Zhang, Kechun, Sawaya, Michael R., Eisenberg, David S., Liao, James C.·2008·Proceedings of the National Academy of Sciences

Abstract

Nature uses a limited set of metabolites to perform all of the biochemical reactions. To increase the metabolic capabilities of biological systems, we have expanded the natural metabolic network, using a nonnatural metabolic engineering approach. The branched-chain amino acid pathways are extended to produce abiotic longer chain keto acids and alcohols by engineering the chain elongation activity of 2-isopropylmalate synthase and altering the substrate specificity of downstream enzymes through rational protein design. When introduced into Escherichia coli , this nonnatural biosynthetic pathway produces various long-chain alcohols with carbon number ranging from 5 to 8. In particular, we demonstrate the feasibility of this approach by optimizing the biosynthesis of the 6-carbon alcohol, ( S )-3-methyl-1-pentanol. This work demonstrates an approach to build artificial metabolism beyond the natural metabolic network. Nonnatural metabolites such as long chain alcohols are now included in the metabolite family of living systems.

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Metadata

Authors
Zhang, K., Sawaya, M. R., Eisenberg, D. S., & Liao, J. C.
Venue
Proceedings of the National Academy of Sciences
Published
2008-12-30
Volume
105
Issue
52
Pages
20653-20658
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2169989540
Cited by
412
References
3
FWCI
10.17
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Expanding metabolism for biosynthesis of nonnatural alcohols. https://app.cochat.ai/papers/10.1073/pnas.0807157106
The paper
Zhang, K., Sawaya, M. R., Eisenberg, D. S., & Liao, J. C. (2008). Expanding metabolism for biosynthesis of nonnatural alcohols. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0807157106

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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.