Evidence map›Paper›PMID 26400419›Full record

ArticleBMC biology2015

Using mathematical models to understand metabolism, genes, and disease.

H Frederik Nijhout, Janet A Best, Michael C Reed

Abstract read
In one paragraph

Article in BMC biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Homeostasis in networks with multiple inputs.Journal of mathematical biology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Analysis of Homeostatic Mechanisms in Biochemical Networks.Bulletin of mathematical biology · 2017
    Article
  14. Review
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.

H Frederik NijhoutDepartment of Biology, Duke University, Durham, NC, 27708, USA. hfn@duke.edu.
Janet A BestDepartment of Mathematics, Ohio State University, Columbus, OH, 43210, USA.
Michael C ReedDepartment of Mathematics, Duke University, Durham, NC, 27708, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical models are a useful tool for investigating a large number of questions in metabolism, genetics, and gene-environment interactions. A model based on the underlying biology and biochemistry is a platform for in silico biological experimentation that can reveal the causal chain of events that connect variation in one quantity to variation in another. We discuss how we construct such models, how we have used them to investigate homeostatic mechanisms, gene-environment interactions, and genotype-phenotype mapping, and how they can be used in precision and personalized medicine.

Indexed as

Chromosome MappingHomeostasisModels, BiologicalComputer SimulationGene-Environment InteractionHumansPrecision Medicine

Identifiers

PMID26400419
PMCPMC4580265

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.