Evidence map›Paper›PMID 40390360›Full record

ArticleeLife2025

Perturbation-response analysis of in silico metabolic dynamics revealed hard-coded responsiveness in the cofactors and network sparsity.

Yusuke Himeoka, Chikara Furusawa

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Yusuke HimeokaUniversal Biology Institute, University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8545-1625
Chikara FurusawaUniversal Biology Institute, University of Tokyo, Tokyo, Japan.

Funding

Japan Science and Technology Agency 10.52926/JPMJER1902Japan Science and Technology Agency 10.52926/JPMJGX23B4Japan Society for the Promotion of Science JP 21K20626Japan Society for the Promotion of Science JP 22H05403Japan Society for the Promotion of Science JP 22K15069Japan Society for the Promotion of Science JP 22K21344
6 · The paper itself

Abstract

Homeostasis is a fundamental characteristic of living systems. Unlike rigidity, homeostasis necessitates that systems respond flexibly to diverse environments. Understanding the dynamics of biochemical systems when subjected to perturbations is essential for the development of a quantitative theory of homeostasis. In this study, we analyze the response of bacterial metabolism to externally imposed perturbations using kinetic models of

Indexed as

Escherichia coliMetabolic Networks and PathwaysCarbonComputer SimulationHomeostasisKineticsModels, BiologicalCarboncomputational biologyE. colikinetic modelmetabolismnetworksystems biologysystems modeling

Identifiers

PMID40390360
PMCPMC12091999

What OpenQuestion holds

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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.