Evidence map›Paper›PMID 24430943›Full record

ReviewNature reviews. Genetics2014

Constraint-based models predict metabolic and associated cellular functions.

Aarash Bordbar, Jonathan M Monk, Zachary A King, Bernhard O Palsson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 420 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
420citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Environmental formermSystems · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. The return of metabolism: biochemistry and physiology of glycolysis.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  16. Article
  17. Harnessing endophytes and Multi-Omics for sustainable Colchicine biosynthesis.World journal of microbiology & biotechnology · 2026
    Review
  18. LumbriCyc: towards metabolic modelling of earthworms.NPJ systems biology and applications · 2026
    Article
  19. Article
  20. Review

360 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

4 authors.

Aarash BordbarDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, California 92093-0412, USA.
Jonathan M MonkDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, California 92093-0412, USA.
Zachary A KingDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, California 92093-0412, USA.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, California 92093-0412, USA.

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
Network-based Analysis of Kinetics and RegulationR01GM068837 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2003 to 2012
$2.4M
NIGMS NIH HHS GM057089NIGMS NIH HHS GM068837NIGMS NIH HHS R01 GM068837
6 · The paper itself

Abstract

The prediction of cellular function from a genotype is a fundamental goal in biology. For metabolism, constraint-based modelling methods systematize biochemical, genetic and genomic knowledge into a mathematical framework that enables a mechanistic description of metabolic physiology. The use of constraint-based approaches has evolved over ~30 years, and an increasing number of studies have recently combined models with high-throughput data sets for prospective experimentation. These studies have led to validation of increasingly important and relevant biological predictions. As reviewed here, these recent successes have tangible implications in the fields of microbial evolution, interaction networks, genetic engineering and drug discovery.

Indexed as

Models, BiologicalComputer SimulationGenomicsGenotypeMetabolic Networks and PathwaysMetabolomicsPhenotypeProteomicsSignal TransductionSystems Biology

Identifiers

PMID24430943

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.