Evidence map›Paper›PMID 28544810›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine2017

The best models of metabolism.

Eberhard O Voit

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Format-Preserving Reduction of Canonical Nonlinear Models.Bulletin of mathematical biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Hepatic cholesterol biosynthesis and dioxin-induced dysregulation: A multiscale computational approach.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2023
    Article
  8. Review
  9. What's next for computational systems biology?Frontiers in systems biology · 2023
    Review
  10. Article
  11. Article
  12. Discrete Biochemical Systems Theory.Frontiers in molecular biosciences · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Stochastic Simulation of Cellular Metabolism.IEEE access : practical innovations, open solutions · 2020
    Article
  18. Review
  19. Review
  20. Article
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

1 author.

Eberhard O VoitDepartment of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

Funding

Yerkes National Primate Research Center Role of type-I IFN in regulating COVID-19 induced inflammation and pathogenesisP51OD011132 · OD · EMORY UNIVERSITY · PI Joon Sup Lee · 2012 to 2026
$167.0M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
NIAID NIH HHS HHSN272201200031CNIEHS NIH HHS P30 ES019776NIH HHS P51 OD011132
6 · The paper itself

Abstract

Biochemical systems are among of the oldest application areas of mathematical modeling. Spanning a time period of over one hundred years, the repertoire of options for structuring a model and for formulating reactions has been constantly growing, and yet, it is still unclear whether or to what degree some models are better than others and how the modeler is to choose among them. In fact, the variety of options has become overwhelming and difficult to maneuver for novices and experts alike. This review outlines the metabolic model design process and discusses the numerous choices for modeling frameworks and mathematical representations. It tries to be inclusive, even though it cannot be complete, and introduces the various modeling options in a manner that is as unbiased as that is feasible. However, the review does end with personal recommendations for the choices of default models. WIREs Syst Biol Med 2017, 9:e1391. doi: 10.1002/wsbm.1391 For further resources related to this article, please visit the WIREs website.

Indexed as

Models, BiologicalAnimalsHumansMetabolism

Identifiers

PMID28544810
PMCPMC5643013

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.