Evidence map›Paper›PMID 19064911›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Expanding metabolism for biosynthesis of nonnatural alcohols.

Kechun Zhang, Michael R Sawaya, David S Eisenberg, James C Liao

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

101 citing papers in PubMed.

  1. Article
  2. EngineeringBiodesign research · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Production of (R)-citramalate by engineeredMetabolic engineering communications · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Advances in biosynthesis of higher alcohols in Escherichia coli.World journal of microbiology & biotechnology · 2023
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Kechun ZhangDepartment of Chemical and Biomolecular Engineering and Chemistry, University of California, Los Angeles, CA 90095, USA.
Michael R Sawaya
David S Eisenberg
James C Liao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

2-Isopropylmalate SynthaseAmino Acids, Branched-ChainEscherichia coliEscherichia coli ProteinsPentanolsSubstrate Specificity2-Isopropylmalate Synthase3-methyl-1-pentanolAmino Acids, Branched-ChainEscherichia coli ProteinsPentanols

Identifiers

PMID19064911
PMCPMC2634914

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.