Evidence map›Paper›PMID 19116616›Full record

ReviewNature reviews. Microbiology2009

Reconstruction of biochemical networks in microorganisms.

Adam M Feist, Markus J Herrgård, Ines Thiele, Jennie L Reed, Bernhard Ø Palsson

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 334 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
334citing papers in PubMed, 1 pooled it
–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

334 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Multi-strain analysis ofmSystems · 2026
    Article
  6. Constraint-Based Metabolic Modeling Approach for Microbial Communities.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Article
  8. Article
  9. Multi-strain Analysis ofbioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Metabolomes evolve faster than metabolic network structures.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Article
  20. Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024
    Review

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Adam M FeistDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093, USA.
Markus J Herrgård
Ines Thiele
Jennie L Reed
Bernhard Ø Palsson

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
A Genome-Scale Regulated Metabolic Model of YeastR01GM071808 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2004 to 2007
$2.3M
NIGMS NIH HHS R01 GM057089NIGMS NIH HHS R01 GM071808
6 · The paper itself

Abstract

Systems analysis of metabolic and growth functions in microbial organisms is rapidly developing and maturing. Such studies are enabled by reconstruction, at the genomic scale, of the biochemical reaction networks that underlie cellular processes. The network reconstruction process is organism specific and is based on an annotated genome sequence, high-throughput network-wide data sets and bibliomic data on the detailed properties of individual network components. Here we describe the process that is currently used to achieve comprehensive network reconstructions and discuss how these reconstructions are curated and validated. This review should aid the growing number of researchers who are carrying out reconstructions for particular target organisms.

Indexed as

BacteriaGene Expression Regulation, BacterialGenome, BacterialMetabolomics

Identifiers

PMID19116616
PMCPMC3119670

What OpenQuestion holds

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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.