Evidence map›Paper›PMID 22367118›Full record

ReviewNature reviews. Microbiology2012

Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods.

Nathan E Lewis, Harish Nagarajan, Bernhard O Palsson

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 380 papers.

0numbers the graph read from it
0cells of the map it votes in
380citing 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

380 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Global constraint principle for microbial growth laws.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

320 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

3 authors.

Nathan E LewisDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093-0412, USA.
Harish Nagarajan
Bernhard O Palsson

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
NIGMS NIH HHS R01 GM057089NIGMS NIH HHS R01GM057089
6 · The paper itself

Abstract

Reconstructed microbial metabolic networks facilitate a mechanistic description of the genotype-phenotype relationship through the deployment of constraint-based reconstruction and analysis (COBRA) methods. As reconstructed networks leverage genomic data for insight and phenotype prediction, the development of COBRA methods has accelerated following the advent of whole-genome sequencing. Here, we describe a phylogeny of COBRA methods that has rapidly evolved from the few early methods, such as flux balance analysis and elementary flux mode analysis, into a repertoire of more than 100 methods. These methods have enabled genome-scale analysis of microbial metabolism for numerous basic and applied uses, including antibiotic discovery, metabolic engineering and modelling of microbial community behaviour.

Indexed as

Computer SimulationMetabolic Networks and PathwaysModels, BiologicalBuchneraEnergy MetabolismEscherichia coliGenome, BacterialGenome, FungalGenotypeMetabolic EngineeringPhenotype

Identifiers

PMID22367118
PMCPMC3536058

What OpenQuestion holds

Textmetadata
LicenceTDM
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.